personal statement on data analytics

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• Data Science Masters Personal Statement Sample

Written by Ben Taylor

This is an example personal statement for a Masters degree application in Data Science. See our guide for advice on writing your own postgraduate personal statement .

The emergence of big data over the past decade as a power for good – and, dare I say it, evil – has convinced me of the importance of developing and honing my skills in this arena. I’m keen to ‘future-proof’ my career and I believe that your MSc Data Science degree is the programme to help me achieve my goals.

Although I don’t come from a traditional STEM background, having studied a Bachelors degree in Linguistics, the professional experience I’ve gained since graduating has given me a solid foundation in the principles associated with data analytics. I’ve worked for two years as an SEO and PPC Executive for a major e-commerce agency, helping to provide insight into website traffic trends and advert effectiveness, and suggesting ways to boost online performance. I’ve used tools like Semrush and Moz, as well as Google Analytics and Search Console, and crave the opportunity to delve even deeper into the world of data outside of an e-commerce agency.

The potential applications of machine learning and natural language processing are particularly fascinating to me. I’ve watched with interest the arrival of deep learning software that purports to generate unique content based on user prompts. Although the end-product of these programmes is sometimes crude, I think they’re incredibly promising.

The coronavirus pandemic has also shown the value of big data in a healthcare setting, with large-scale modelling a vital source of information and guidance for policy-makers across the globe. The pandemic has also illustrated the importance of presenting this data in a clear and responsible manner and I’ve been impressed by the development of the UK’s own coronavirus statistics dashboard, which I think should be seen as a benchmark standard.

I think that your conversion course is perfectly tailored for my skillset, as someone with an amateur, self-taught background in coding (including the basics of Python). I’m looking for a rigorous degree that will challenge me and ultimately equip me with the knowledge to make a meaningful contribution in the private or public sector in the coming years. I hope to apply my new-found expertise in a company with a start-up culture, perhaps in the fin-tech sector where algorithmic know-how is in high demand.

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• Data Science

Data Science Personal Statement Sample and Examples

Home Blog Data Science Data Science Personal Statement Sample and Examples

Data science is one of the most popular career options for students, especially those pursuing a Bachelor's degree. It is also one of the most sought-after courses in universities today. If you just want some ideas on how to write a personal statement for data science, then this article is for you. Also, if you’re someone who is willing to secure a career in the field of data science, then it is recommended that you pursue Data Science Courses that will enable you to learn all aspe that will enable you to learn all aspects and principles of data science. 

What is a Data Science Personal Statement?

In a nutshell, the personal statement for data science is a document that you write to explain why you are interested in pursuing the subject and what you can bring to the table. It should be written in a way that shows your interest in the subject and why you want to study it. You may want to include information about the following in your data science personal statement.  

• What led up to your decision to pursue this field? 
• Why do data scientists matter? What problems need solving by them? What value do they provide society as well as individuals? 
• How will studying this specific field help prepare you for future careers or additional educational opportunities (e-learning programs, etc.)?

You can also include the following:  

• What are your goals for this degree?  
• How will it benefit you?  
• What do you hope to achieve from studying data science?  
• Why is this field important in today’s society?  
• What are the challenges that you see in this field?  
• How will you address those challenges?  
• What do you think the future of data science is?  
• How do you plan on staying relevant as technologies and trends change?

The Importance of Creating a Data Science Personal Statement

Data science personal statement is a formal document that will be used by the company to evaluate your skills. If you are applying for a Data Science job and want to impress the hiring manager, then you must write a strong data science personal statement.

A good personal statement for a master's in data science must be unique, creative, informative and interesting to read. It should describe not only your skills and experience but also showcase your ability to think critically and creatively.

A well-written data science personal statement will help you stand out from other applicants and make yourself an ideal candidate for the job that you want. Here are some useful tips for writing a strong data science personal statement: 

• Be honest and straightforward in your personal statement. 
• Don’t exaggerate or lie about your skills, experience and achievements. If you don’t have any relevant work experience, then focus on other areas where you can showcase your skills, such as volunteering or community projects. 
• Know the company that you are applying to and tailor your personal statement accordingly. A generic resume won’t help if you are applying for a specific job position. Instead, write a customized letter that shows how well-suited you are for this role. 
• Keep it short and sweet. The best personal statements are between a few hundred to a few thousand words long. Don’t try to cram everything in one big paragraph; break it up into smaller sections that will make it easier for readers to digest. 

So now you might have understood how important data analytics personal statements are. To learn how to create a personal statement, it is recommended that you enroll in the Best Data Science Bootcamps . 

Data Science Personal Statement Sample

I am writing this Data Science Personal Statement for the MS in Data Science program at UC Berkeley. My goal is to explain why I want to pursue a career in data science and how my experience as an undergraduate student has prepared me for graduate school. As you can see from my resume, I have had many opportunities to work with large amounts of data through internships and research projects over the course of my academic career. These experiences have given me valuable insight into how large-scale computational problems can be tackled by applying statistical methods under tight deadlines while still maintaining quality control over your results. 

In addition, I have taken classes such as AI/ML Systems Design & Implementation and Machine Learning Algorithms. These classes have helped me develop new ways of approaching problems while also providing an understanding of why certain algorithms work better than others when applied in specific situations. 

I am a Data Science Major at UC Berkeley and have been for two years. In order to graduate with a major in Data Science, you must complete four required classes, one of which is an independent study project. 

I have chosen to take this independent study project in order to gain hands-on experience with a data science problem of my choosing and to learn how to effectively apply machine learning algorithms in the real world. My goal is to create an application that can accurately predict where students need tutoring based on their past grades. This project will require me to use various classes of statistical models, such as regression, decision trees, and neural networks. 

How to Write a Personal Statement for Masters Programme in Data Science?

If you are looking for the best way to write a sample personal statement for a master in data science, you should follow these steps: 

• Step 1: The first step is to find out what courses are available in your area and how long it takes to complete them. You can find this information on websites online. 
• Step 2: Once you have this information, you need to think about how much time you will have available each day. It is important that you do not leave your studies until you finish all of your courses because once you finish your degree program, there will be no more work available for you. Your ability to continue working will depend upon how well your personal statement for data science courses was received by universities and whether or not they offer scholarships for those who want to study abroad or online. 
• Step 3: In order to write a good personal statement for M.Sc data science, you will need to think about why you want to continue your education after completing your bachelor's degree program. This could be because of what happened during college or because of something else entirely (such as family obligations). If it is something that happened during college, then you will need to explain what that event was and how it has affected your desire to continue your education. If it is something that happened outside of college, then you should talk about how that event impacted your academic performance and why you want to continue studying.

Data Science Personal Statement Example 

Following is a data science personal statement example. You can refer to this data science statement of purpose example and keep in mind the necessary points.

Source: personal-statement-examples.com

Tips to Write an Effective Data Science Personal Statement

The following tips will help you write an effective personal statement for a master in data science: 

1. Use a Template

It's best to use a template that has been created by experienced admissions officers and other professionals in the field. This means you can skip the writing process entirely since they've already done most of it for you. 

2. Keep Your Sentences Short and Simple

Your goal should be no more than one or two paragraphs per section (including your application summary), which means keeping your sentences as short as possible without compromising clarity or coherence. If there are too many adjectives or numbers used in an otherwise simple sentence, try replacing them with action verbs like "ran" instead of "ran fast." 

3. Avoid Clichés

In your data science personal statement sample, instead of saying things like "I am dynamic," try saying something more descriptive such as “I am highly dynamic” instead because this shows off how creative your mind works while also showing off how well-rounded personas are important traits needed by anyone working at companies when writing an M.Sc data science personal statement.  

Do’s and Don’ts While Writing Personal Statement

Data science is a booming field with a lot of opportunities. You can work anywhere and make a good salary with this skill. If you think that it’s not for you, then it’s time to think again. The world has changed and so have our needs as individuals. Data science professionals will be needed in the future because of their role in shaping our lives as we know them today. In order to pursue a career in this broad field of data science, it is recommended that you pursue KnowledgeHut to learn its principal aspects and gain in-depth knowledge about data science. Data Science Courses to learn its principal aspects and gain in-depth knowledge about data science.

Frequently Asked Questions (FAQs)

Find out what diploma courses are available in your area and how long it takes to complete them. Once you have this information, you need to think about how much time you will have available each day. After evaluating all these things, start writing your personal statement using templates. 

• The reason(s) why you selected this subject(s) 
• Your chosen area of study and how it relates to the current studies 
• Your experiences in relation to your chosen subject(s) 
• What are your interests and responsibilities in relation to the subject you are studying? 
• After university, what's next? 
• A summary of why you will make an excellent student 
• Don’t use quotes 
• Don’t let spelling and grammatical errors spoil your statement. 
• Don’t copy and paste 

During the writing of the letter of intent for the MS in Data Science course, it is important to take into account the basic questions asked by the institution, including what kind of ambitions the prospective candidate has and the inspiration behind those ambitions. If the students do not want to sound conversational in their essays, then they should keep in mind that the tone should be formal instead of informal.

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Data Science Personal Statement Samples with Examples

A data science personal statement is crucial for pursuing a career in the field as it allows individuals to showcase their qualifications, experiences, and aspirations.

It serves as a platform to express their passions and highlight their academic backgrounds, technical skills, and practical experiences. The statement enables individuals to articulate career goals, research interests, and potential contributions. 

In that sense, a personal statement examples are valuable as it offers guidance and examples of successful statements, providing insights into key elements, structure, and content. Samples also inspire and motivate by showcasing possibilities and achievements in the data science field. They help individuals understand how to express their passion, highlight relevant skills, and align career goals. 

If you are a data science enthusiast, consider enrolling in an Advanced Certificate Programme in Data Science to boost your resume.

What is a Data Science Personal Statement?

Data science personal statements are written statements or essays by individuals aiming to pursue courses like a Master of Science in Data Science from LJMU or aspiring to pursue a career in data science. These statements allow applicants to showcase their passion, skills, and experiences related to data science. Personal statements must be submitted as a part of the application process. 

They typically highlight the individual’s motivation for choosing data science, their relevant academic background, technical skills, and any practical experience they have gained. Personal statements also allow applicants to express their career goals, research interests, and how they envision contributing to the field of data science. 

As a student or professional in this field, referring to a data science personal statement sample is crucial in conveying your suitability and enthusiasm to the admissions committee or potential employers.

Check out our  free technology courses  to get an edge over the competition.

Key Elements of a Strong Data Science Personal Statement

The essential components of a compelling personal statement for data science comprise:

• Genuine Passion and Drive: Demonstrating a deep-rooted enthusiasm for data science and a solid motivation to pursue a career in this field.
• Academic Background: Showcasing academic accomplishments relevant to data science, such as degrees, coursework, or research projects in quantitative disciplines.
• Technical Proficiency: Exhibiting expertise in programming languages (like Python or R), statistical analysis, machine learning techniques, data manipulation, and visualisation tools.
• Practical Exposure: Highlighting practical experiences, such as internships, projects, or industry engagements that have honed data science skills.
• Areas of Interest in Research: Creatively ideating your areas of interest in data science, like computer vision, predictive modelling, and natural language processing and discussing research contributions or projects in these domains.
• Analytical Problem-Solving: Demonstrating skills in problem-solving, critical thinking, and applying appropriate data science methods to real-world challenges.
• Efficient Collaboration and Communication: Emphasising efficient communication skills, teamwork capabilities, and the ability to convey complex concepts to non-technical audiences.
• Future Aspirations: Outlining long-term career goals in data science and how one envisions utilising this field to impact the industry or domain of their choice.

Example 1: Personal Statement for an Entry-Level Data Science Position

I am eager to apply for this role as I have a degree in Computer Science and a course concentration on statistics and machine learning. Along with a strong base in data analytics, I have commendable analytical skills and an aptitude for problem-solving. I have also taken an active part in multiple relevant projects in which I was required to work with algorithms to derive insights from numerous datasets. 

Additionally, my internship experience exposed me to real-world challenges, refining my expertise in data cleansing and preprocessing for effective modelling. I am excited about the opportunity to contribute to a dynamic team, leveraging my technical skills and enthusiasm to drive data-informed decision-making and deliver impactful solutions. I believe I am a potential candidate for an entry-level data science role. 

Example 2: Personal Statement for a Data Analyst Role

As an ambitious individual aiming for a data analyst role, I am enthusiastic about applying my analytical abilities and dedication to data-driven insights within a vibrant organisation. Equipped with a degree in statistics and hands-on involvement in data manipulation and visualisation, I have established a strong foundation in data analysis. 

Throughout my academic endeavours, I have refined my aptitude for extracting valuable insights and effectively communicating them to key stakeholders. Moreover, my internship at a well-known company allowed me to apply statistical methodologies to extensive datasets, further augmenting my analytical proficiencies. 

I eagerly look forward to applying my technical acumen and problem-solving prowess to unearth meaningful insights, facilitate data-led decision-making, and contribute to the organisation’s triumphs.

Example 3: Personal Statement for a Data Scientist Position

I am enthusiastic about data science and am beyond elated by its potential to take my area of interest to greater heights. I have cultivated a profound understanding of statistical modelling, machine learning algorithms, and the art of data visualisation required to fulfil my role as a data scientist. I have upskilled myself with strong analytical and problem-solving skills, a Master’s in Data Science and hands-on experience in research projects. 

Throughout my academic trajectory, I actively participated in endeavours that harnessed advanced analytics to extract profound insights from expansive datasets. Furthermore, my professional background has honed my collaborative acumen, bolstered my contributions to data-driven initiatives, and engendered actionable recommendations. 

I eagerly anticipate harnessing my expertise in data analysis, programming prowess, and problem-solving aptitude to propel innovation, facilitate data-driven decision-making, and profoundly contribute to the organisation’s achievements as a data scientist.

Example 4: Personal Statement for a Data Engineer Role

As a dedicated advocate of harnessing the transformative potential of data, I am thrilled to pursue a data engineer role where I can utilise my technical aptitude and drive impactful solutions. 

I have a Bachelor’s degree in Computer Science and professional experience in database management, ETL processes, and data pipeline development. I have established a strong foundation in data engineering principles. Proficient in SQL, Python, and cloud platforms, I can efficiently transform raw data into valuable insights. Throughout my academic journey, I actively participated in projects that involved designing and implementing robust data architectures, optimising query performance, and ensuring data integrity. 

I am eager to contribute my expertise and collaborate with cross-functional teams to construct scalable and reliable data infrastructure that empowers data-driven decision-making.

Example 5: Personal Statement for a Machine Learning Engineer Position

As a passionate advocate of leveraging machine learning to drive innovation, I am excited to pursue a position as a machine learning engineer where I can apply my technical expertise and problem-solving skills to develop cutting-edge solutions. 

I have gained a solid understanding of the field with a strong academic background in computer science and a focus on machine learning algorithms and model development. I have honed my data preprocessing, feature engineering, and model evaluation skills through my project work and internships.

I am eager to collaborate with interdisciplinary teams, apply my knowledge in practical settings, and contribute to creating intelligent systems that positively impact industries and society.

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Tips for Writing an Effective Data Science Personal Statement

Here are some tried and tested tips for writing an impactful data science personal statement:

• Clearly express your deep enthusiasm for the field of data science: Begin your statement by articulating your genuine passion and excitement for data science. Elucidate what captivates you about data analysis, machine learning, or any particular aspect of data science that ignites your motivation.
• Emphasise your pertinent academic background: Highlight your educational qualifications, such as degrees, coursework, or certifications, that directly relate to data science. Discuss specific subjects you have studied, projects you have engaged in, and any research experience you have gained.
• Showcase your technical proficiencies: Outline the technical skills you have acquired, including programming languages (Python, R, SQL), statistical analysis, machine learning algorithms, data visualisation, or frameworks for big data processing. Offer concrete and quantifiable examples of how you have applied these skills in practical projects or academic assignments.
• Share your practical experiences: Discuss any internships, industry projects, or research opportunities where you have gained hands-on experience with real-world data and problem-solving. Highlight notable achievements, challenges you have confronted, and strategies to overcome them.
• Demonstrate your problem-solving capabilities: Elaborate on your approach to resolving intricate problems through data-driven methodologies. Expound upon how you analyse data, formulate hypotheses, design experiments, and assess results to extract meaningful insights and make well-informed decisions.
• Establish a connection between your goals and the field: Articulate your career aspirations clearly and explain how embarking on a data science career aligns with those ambitions. Discuss specific areas or industries that interest you, and elucidate how your skills and expertise can contribute to tackling challenges in those domains.
• Highlight your communication and teamwork skills: Acknowledge that data science entails effective communication and collaboration. Showcase instances where you have adeptly conveyed complex concepts to non-technical stakeholders or collaborated within multidisciplinary teams to achieve project objectives.
• Tailor your statement to the specific role or programme: Customise your statement to match the requirements and expectations of the data science position or programme for which you are applying. Conduct thorough research on the organisation or university to grasp their focal points, projects, or faculty expertise, and integrate pertinent details to demonstrate your suitability and alignment.
• Strive for concise and well-structured content: Maintain focus and conciseness throughout your statement, ensuring each sentence contributes value and reinforces your overall message. Employ a logical structure, commencing with an engaging introduction, developing well-articulated body paragraphs, and culminating in a firm conclusion.
• Carefully review and edit: Before submission, meticulously review your personal statement for grammatical, spelling, and punctuation errors. Verify consistency in tone, smoothness of flow, and compelling content. Seek feedback from reliable sources, such as mentors or professors, to obtain valuable insights and recommendations for refinement.

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Data science personal statement samples provide invaluable guidance and inspiration for aspiring data scientists. They catalyse self-reflection and help applicants align their own experiences and aspirations with the dynamic field of data science. By studying successful personal statements, you can gain insights into the key elements, structure, and content required to create a compelling personal statement. 

Armed with a professional certification like an Executive PG Programme in Data Science from IIIT Bangalore , you can craft personal statements that effectively convey your unique qualities, setting you apart and increasing your chances of securing admission or job opportunities in the competitive field of data science.

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Frequently Asked Questions (FAQs)

The statement of purpose for data science should encompass the reasons for selecting data science as a specialisation, aspirations for a career in the field, and a strategic plan outlining how the acquired data science education will be utilised to attain those goals.

It is advisable to share pertinent details of employment, internships, work experience, or voluntary engagements, particularly those relevant to the chosen course of study. Establishing a connection between the experiences and the skills or qualities that contribute to a candidate's potential for success is crucial.

The introduction of a personal statement should commence with an explanation of the rationale behind choosing the field of study, summarised in one or two sentences. Be original and avoid clichéd opening sentences, quotes, or overused expressions to maintain a fresh and engaging introduction.

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How To Write An Appealing Personal Statement For Masters Programme In Data Science

Illustration by How To Write An Appealing Personal Statement For Masters Programme In Data Science

• Published on July 31, 2020
• by Sejuti Das

Besides submitting test scores, recommendation letters, and an undergraduate transcript, one essential requirement of applying to a data science masters programme is the application essay — aka personal statement. The personal statement is where applicants need to convince the professors their ability and worth of getting selected in the master programme . 

In fact, many a time, a personal statement acts as a deciding factor for getting chosen for a prestigious masters programme in the field of data science . Thus, one needs to be extremely cautious while writing a personal statement for their master’s application. Not only does it help the university authorities determine the sincere interest of the applicant to enrol for the course, but also provide a chance to the students to stand out of the crowd highlighting their skills and relevancy.

Having said that, data scientists are experts in mathematics, but writing might not always be their expertise , and a personal statement is usually longer than you think and requires to be well crafted in order to grab the attention of professors and administrators. So, if decided to pursue higher studies in the data science field and have narrowed down universities to apply, this article can help you write a winning personal statement required to apply for the data science masters’ programme.

Also Read: The 10 Most Promising Data Science Masters Programs In US

Planning Is The Key: Highlight The Reason To Study Data Science Masters

Although it is stated as ‘personal,’ a personal statement doesn’t require applicants to share the intimate details of their life; instead, it needs to highlight the intention of the applicant for the particular master’s programme. To avoid any confusion or mistakes, the first step to write a personal statement for a data science masters programme is to brainstorm around it and plan it before actually starting to write. It is critical to make notes and use bullet points when planning, which can later be referred to while writing the personal statement. One should research thoroughly about the course requirements and the university, and prepare a list of their achievements and goals that can come handy while writing the essay. 

Most universities expect their applicants to adhere to a specific word limit for the personal statement, and thus a good brainstorming will help applicants to keep their essay relevant and to the point. Planning will help in setting the context, creating a structure and forming a narrative of the piece that is critical for drafting a compelling statement.

Also Read: What Not To Include In Your Data Science Resume

Have A Killer Intro & A Concise Conclusion: Relevant To The Passion For The Field

An attention-grabbing intro and a hard-hitting conclusion are again critical for writing a compelling personal statement. The first paragraph can create the first impression of the applicant in front of the professors, and a sharp end will help them remember that candidate among the crowd. The readers of the personal statement are the experts from the data science industry and academics; thus, they expect the writeup to be extremely intriguing in terms of content. 

Personal statements are usually lengthy but require to be extremely clear in sending out the message. Rather than starting the essay with some cliches, data science applicants should begin their personal statement highlighting their passion for the stream and their domain proficiency. And to have a definite ending, these data scientists must ensure to convey their genuine interest in pursuing the master’s programme, and how their skills are relevant to the stream.

Also Read: Tips And Templates For A Data Scientist Resume

Be A Good Story Teller: Highlight Experiences & Skill Sets

Thirdly, data science applicants must showcase their skill sets and experience in their personal statements without repeating the information that is already mentioned in their application form. And that’s why it is critical to be a good storyteller with their statement, where applicants can highlight their skills by talking about a particular data science research project that helped in solving real-life problems. One can also point out their experiences, knowledge, and quantify their expertise in the field that can help them in pursuing further studies.

The job of the personal statement is to let the administrators and professors know the abilities of the applicants to be qualified for the master’s programme. Data scientists can also mention their thesis, publications, journals or any relevant activities that can help them in getting selected. A well crafted personal statement avoids clichés, jargons, and too many details, and should be presented formally with a clear narrative.

Also Read: How To Create A Compelling Cover Letter To Land A Data Science Job

Focus On Your Domain & The Programme

Unlike undergraduate courses, masters programmes are more specific as well as require applicants to understand the domain they are pursuing. Consequently, while writing a personal statement, one needs to sync their interest according to the requirement of the programme and emphasise on the specific skills that match the area of expertise. One can also network with relevant faculty members and seniors to get a better understanding of the requirements of the program.

Many universities are also working on several ongoing data science projects, citing one of them corresponding to the interest, can also be a great addition to the personal statement. Furthermore, applicants can also write about what inspired them to pursue this particular domain and how their work will contribute to the field. One can also share their personal experiences and how that has helped in pursuing this course.

Also Read: What Data Science Graduates Need To Do To Get Hired During Covid-19

Don’t Be Generic: Customise The Write Up For The Course

Lastly, it is critical that the essay is unique and thus requires to be customised according to the university and its requirements. Applicants don’t have to start from scratch every time they are applying to a university, but they must ensure that they still provide a unique draft personal statement to each application. Professors and administrators read thousands of personal statements in a day, and therefore to be unique, applicants cannot pick up generic content to build their essay.

Applicants can also make the personal statement unique by adding up personal experiences relevant to the field, which will not only make the read interesting but also will allow the readers to empathise with the applicant. One can also add up a few of their failures to make it sound genuine as well as relatable. Usually, masters programmes don’t conduct face to face interviews; thus, personal statement plays a vital role in the applicants’ admission process.

Also Read: 10 Commonly Asked Puzzles In A Data Science Interview

Other Things To Keep In Mind

• Personal statements are not university applications, so don’t be repetitive.
• Highlight why this university is the right choice for the career you are planning to pursue.
• Although it’s the life experiences one shares in their personal statements, it indeed requires to be professional and to the point. 
• Avoid grammar, spelling, and punctuation errors.

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Home / Data Science Programs / Best Master’s in Data Science Programs / Statement of Purpose

How to Write a Statement of Purpose for Master’s in Data Science

Many colleges and universities require a statement of purpose for master’s in data science student applications. The statement of purpose can play an important role in your application, as it allows admissions staff to learn about your goals, experience and education outside of scores and grades. This guide will cover what a statement of purpose is, what needs to be included in it, frequently asked questions and tips to help craft your own.

What Is a Statement of Purpose for Master’s in Data Science?

A statement of purpose is a short essay written by master’s of data science applicants discussing their work and educational history, goals for the program and future career interests. A statement of purpose for master’s in data science programs may also detail any deficiencies in an application such as an employment gap, low GRE or GMAT test scores or grades and information about independent study in lieu of other relevant coursework. The statement of purpose provides a space to highlight your specific life experiences and goals in your own words.

What Is the Admissions Committee Looking for in Your Application?

Admissions committees typically look for the following information:

• Who is applying?  What about the student’s academic or personal background, work experience or extracurricular activities stands out? Does the applicant show a history of demonstrated interest in data science? What will they be able to add to a graduate program environment?
• Does the applicant have analytical skills or experience?  Data science requires a person to deeply analyze large and complex data sets. While some core capacities, like mathematics, may be taught, a statement of purpose provides a space to demonstrate analytical skills or relevant experience.

Statement of Purpose Format Requirements

While every school has different requirements, the general format for a data science master’s statement of purpose may include:

• Length: 1-2 pages; school will specify length.
• Word Count: 250-500 words; some schools allow up to 1,000 words.
• Spacing: Double or single spaced
• Font: Times New Roman in 12-point font
• Margins: No less than 1 inch
• Format: Microsoft Word (.doc, .docx) or PDF format

Refer to the college or university’s requirements before submitting, particularly if you are sending out multiple statements of purpose to different schools.

Statement of Purpose vs. Personal Statement

Master’s in data science programs may ask for a statement of purpose or a personal statement—some may ask for both. While these might seem like the same thing, there are a few distinctions.

A statement of purpose typically is focused on academic and analytical information. A school requesting a statement of purpose may request information about reasons for applying for graduate study as well as relevant professional interests and goals. A personal statement might be a broader essay asking about life experiences and interests—though still as they relate to the program.

It’s important to read admissions requirements carefully to determine what information each school wants from either a statement of purpose or a personal statement.

10 Tips for Statement of Purpose for Data Science Programs

A statement of purpose may be daunting for master’s in data science applicants, but there are some steps you can take to make sure you’re delivering a good effort. The tips below can help guide you while writing your statements of purpose for data science programs.

Read Examples of Statements of Purpose for Data Science

Read samples of statements of purpose. If you have access to successful applicants’ essays, read them. If not, read a wide variety of statements of purpose and notice what does and does not work. Be sure not to plagiarize as it could be grounds to deny your application.

Brainstorm Topics and Decide on a Structure

As mentioned above, a statement of purpose should highlight who you are and how you work analytically. Take time to brainstorm relevant topics that showcase experience as well as signs of interest in the data science field. After you have your bullet points set, focus on a structure that best highlights you as an applicant. Make an outline before you start writing.

Pick One or Two Narrow Topics and Stay Focused

A statement of purpose should be clear and to the point. It’s not a recap of your entire life or resume. Avoid covering too much information in your statement of purpose. Stay focused on one or two key topics and provide plenty of supporting information to showcase your analytical skills as it relates to those points.

Make Your First Paragraph Interesting

Admissions committees read hundreds of applications. A focused and interesting introductory paragraph can grab the attention of the reader and keep them from putting your statement down. A personal anecdote, a thought-provoking question or an emotionally compelling story at the beginning of your statement of purpose can all grab a reader’s attention.

Highlight Information That Sets You Apart

Write about any activity that highlights your strengths as a data scientist. If you have relevant experience on a resume or affiliations with a professional organization, make sure you highlight that. A statement of purpose, in part, is about what makes you qualified to  become a data scientist .

Keep the Focus on YOU

A statement of purpose is about how your experience, culture and background has helped prepare you for a career in data science. This is not the time to write at length about your professor’s career or general concepts of data science. A statement of purpose often requires a limited amount of space. Make sure you are using it effectively to highlight your own strengths.

Be Yourself and Don’t Fake Experience

Take the truthful approach and recall your experiences and accomplishments with complete honesty and authenticity. While it may be tempting to inflate your experience or accomplishments in data science or analysis, misrepresenting data—or outright lying—will hurt more than it will help.

Keep Language Concise and Tone Positive

Data science is used to draw information from raw data sets and as such, those working in data science may need to be able to explain their findings. A statement of purpose is the first place you can showcase an ability to effectively communicate. Avoid rambling, vague or repetitive language and keep the tone positive and outcome-focused.

Double Check Schools’ Instructions

Read and re-read the school’s instructions for submitting a statement of purpose. Data science requires attention to detail. You don’t want to disqualify yourself by not following basic instructions. Make sure you meet all the stated requirements, and don’t make mistakes like exceeding word count or incorrectly formatting a document.

Proofread, Proofread and Proofread

Check your essay for any grammatical errors. While data scientists often deal with numbers more than writing, it’s still important to proofread because it will show the admissions committee you pay attention to details.

FAQs About Data Science Statements of Purpose

Before beginning your master’s in data science application, get answers to any final questions about statements of purpose. If you’re still unsure about the process, consider asking your admissions counselor.

Take the statement of purpose seriously. Often, it is the only part of your application where the admissions committee gets to hear directly from you. A well-crafted statement of purpose can help provide context around low test scores or grades as well as highlight how your experience has helped prepare you for the program.

Whether applying to a campus-based or  online master’s in data science , it’s better to start working on your statement of purpose earlier to ensure you have sufficient time to think and prepare. Since some master’s in data science programs may have rolling application and start dates, it’s best to double check admissions deadlines and make sure you have plenty of time to write and edit your statement of purpose.

Schools may have different requirements for statement of purpose submissions. Check directly with your school of interest. In general, keep statements of purpose concise—word counts may range from 250 to 1,000 words—and focused on academic and professional achievements that may help you succeed in a data science program.

Different schools have different word count requirements. Some schools will specify the length, but others do not. In general, a statement of purpose is between 300 and 500 words. Some schools allow up to 1,000 words. If word count isn’t explicitly stated, try to be concise. These are short essays. Writing a statement of purpose is one of the first steps toward studying and working in data science. If you want to better prepare for your application, it’s best to start searching for programs early to understand their requirements. Students can either look at  data science programs by state  or consider  data science scholarships available  for students.

Last updated: March 2022

BUILDING STELLAR PROFILES FOR DREAM ADMITS

Personal Statement that got selected to MS in Data Science, University of Pennsylvania (UPenn)

Penn’s Master of Science in Engineering (MSE) in Data Science prepares students for a wide range of data-centric careers, whether in technology and engineering, consulting, science, policy-making, or understanding patterns in literature, art or communications.

It blends leading-edge courses in core topics such as machine learning, big data analytics, and statistics, with a variety of electives and an opportunity to apply these techniques in a domain specialisation – a depth area – of choice.

So, what does it take to get into one of the top 15 programs of the USA in Data Science? I mean, look at it! Wouldn’t you want to spend 2 years here?

So, let’s look at the ‘Personal Statement’ requirements what the UPenn lists out in its Admission Requirements:

• No more than two pages in a readable font/size:
• Why are you interested in this program?
• What have you done that makes you a great candidate?
• How will you benefit from the program?
• How do you plan to contribute to the student community in SEAS while you’re here?
• Why will you succeed in the program?
• What will you do/accomplish once you have completed the program?

As it is amply clear, the AdCom doesn’t want the details of EVERYTHING that you have done in your academic projects. You should answer only these 6 questions, in a way that best justifies your interest in this program. Right?

Here is where the Mridul got it wrong.

About Mridul

Mridul grew up in Mumbai, went to KJ Somaiya College Of Engineering in Mumbai, and had a GPA of 8.46.

He had a GRE score of 322 (167 Q 155 V) and a TOEFL score of 103.

His academic projects reasonably aligned with the research work at UPenn, one of his dream schools.

When he sent us the first draft, it was his entire story of all the things he has done till now. In total, it was 4 PAGES LONG!

So, our first revision was to cut short the massive piece of self-appreciation, to a workable draft of around 1000 words.

Then, we cherry picked some of the most notable projects of Mridul, and tried to address the questions that the AdCom was really looking for.

After 3 rounds of revision, we arrived at the final draft which looked like this:

As it can be seen, each paragraph of Mridul’s Personal Statement, tries to address a question which helps the AdCom to decide if you are the ‘RIGHT FIT’ for the class.

Since there was no hard limitation on the number of words, we stuck to around 1100 words to clearly and concisely tell Mridul’s story to the AdCom.

Mridul was accepted to three graduate programs – University of Pennsylvania (MS in Data Science), University of California Irvine (MS in Computer Science), and CMU (MS in Data Science)

We couldn’t be happier! Like this happy puppy.

Read Shrishti’s application journey to MS in Computer Science, University of Southern California (USC)

Data Science MSc personal statement

• Reading time: 3 minutes
• Price: Free download
• Published: 13th September 2019
• Word count: 616 words
• File format: Text

Like the vast and ever-expanding universe, the big data fields are in a perpetual expansion mode. Both fascinate me. The sheer volume and complexity of data being generated in today’s world present unprecedented opportunities for exploration and analysis. Harnessing the power of data can lead to groundbreaking discoveries, transformative insights, and innovative solutions to some of the most pressing challenges we face.

My education has provided me with a strong foundation to navigate this data-driven landscape. Through my coursework in computer science, I have gained a deep understanding of algorithms, data structures, and programming languages, all of which are crucial components in extracting meaningful information from large datasets. This knowledge has not only enabled me to work comfortably with computers and numbers but has also fostered my passion for leveraging data to uncover valuable insights.

Building on my educational foundation, my work experience in the field of technology and business management has allowed me to put theory into practice. I have had the opportunity to work on large-scale, data-intensive projects that have exposed me to the challenges faced by various industries and governments. The experience has strengthened my ability to analyze complex datasets, identify patterns, and derive actionable intelligence that can drive informed decision-making.

In this era of big data, organizations have come to realize the importance of transitioning from traditional methods to data-driven approaches. It is now essential to understand and process all aspects of data and analyze it effectively to arrive at optimal choices for decision-making. This realization has sparked a surge in demand for professionals who possess the skills and expertise to transform raw data into meaningful insights. I have been fortunate enough to develop hands-on experience with programming languages like SQL and JSON, as well as data visualization tools like Excel and Tableau. These practical experiences have allowed me to deepen my understanding of data analysis techniques and strengthen my ability to communicate complex information visually.

Furthermore, my passion for big data extends beyond technical proficiency. I am captivated by the immense potential of predictive analytics and artificial intelligence (AI). The ability to leverage advanced algorithms and machine learning models to uncover hidden patterns, forecast trends, and make data-driven predictions holds tremendous promise for addressing complex challenges across industries. By exploring these fields, I aim to contribute to the development and application of AI techniques that can empower organizations and individuals to make informed decisions and drive positive change.

As I look ahead, my goal is to be a Data Scientist and contribute to an organization’s data-driven decision-making processes. I am particularly excited about the prospect of applying my skills and knowledge to real-world scenarios, where I can utilize data to uncover insights and create innovative solutions. Ultimately, I envision establishing my own enterprise that focuses on mentoring and guiding the next generation of data scientists, fostering a community of individuals dedicated to using data for social good and addressing pressing challenges.

The MSc Data Science program with an industry placement at Essex University aligns perfectly with my aspirations. Its comprehensive curriculum and emphasis on practical application will provide me with the theoretical foundation and hands-on experience necessary to excel in the field. I am eager to immerse myself in an environment that fosters collaboration, innovation, and critical thinking, where I can learn from esteemed faculty and engage with like-minded peers.

In conclusion, my passion for big data, combined with my educational background and industry experience, fuels my desire to pursue the MSc Data Science program at Essex University. By expanding my knowledge, developing advanced analytical skills, and immersing myself in real-world applications, I am confident that I will be well-prepared to make a meaningful impact in the world of data science .

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Writing a Business Analytics Masters Personal Statement

Table of Contents

For the most part, a business analytics masters personal statement serves as a self-description. Your educational background, career goals, plans, and accomplishments have shaped your professional path and are all essential to a personal statement.

Because it serves as the foundation upon which institutions pick or reject applicants, it is an essential component of the application package.

In this article, we’ll give examples and examine the elements that constitute a personal statement for Business Analytics.

What Is a Personal Statement for Business Analytics?

To apply for a job in business analytics, you’ll need to write a personal statement outlining your background, aspirations, and qualifications.

It is this statement that those in the admissions’ committee will read. It should cover your education, work history, passions, and aspirations.

The overall goal is to provide sufficient information to enable the admission officer to assess your fit into the business analytics program.

Points to Note When Writing a Personal Statement for a Masters in Analytics.

Accepting a Master’s in Business Analytics program can seem daunting. Here are a few points to note to help you write an effective personal statement:

• Mention internships, volunteer work, and other forms of community service are additional ways to show your interest in and dedication to the field.
• Be sure to highlight any relevant college courses you’ve taken, projects you’ve finished, accolades you’ve received, publications you’ve produced, or professional certifications you’ve earned.

Improve your chances by brushing up on the basics of analytics, such as;

• Conducting research into best practices
• Becoming acquainted with data models and applications,
• Building problem-solving abilities
• Mastering quantitative analysis tools.

Great Example of Business Analytics Masters Personal Statement

This personal statement is a fantastic INK example of the type of content you should include in your personal statement.

A Master’s program in Business Analytics offers a unique opportunity to master the art of data-driven decision-making. It also enables professionals to make better business decisions and excel in their chosen fields.

As an experienced professional, I am keenly aware of blending rigorous analytical techniques with strategic insight and intuition. Therefore, pursuing a Masters Program in Business Analytics is the ideal platform to refine my skill set and broaden my expertise.

The invaluable education and experiences gained will equip me with relevant theoretical knowledge and hands-on practicals to unlock new insights. Moreover, the ability to write clear and concise reports after analyzing complex data sets will be vital for communicating results and actionable insights succinctly.

I believe my interpersonal skills, including excellent communication abilities, strong problem-solving aptitude, and creative thinking capabilities, allude to success in this field.

Additionally, my knack for working effectively in teams promises to optimize any collaborative projects during the program.

With these assets under my belt, I intend to leverage the interdisciplinary approach presented by the Business Analytics Masters Program. I aim to succeed in a world increasingly driven by data-informed decisions.

A business analytics masters personal statement can provide a lot of insight into a candidate’s passion and potential value to the school . It should be focused on the candidate’s perspective, interests, and achievements.

Abir Ghenaiet

Abir is a data analyst and researcher. Among her interests are artificial intelligence, machine learning, and natural language processing. As a humanitarian and educator, she actively supports women in tech and promotes diversity.

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PS - MSc International Business with Data Analytics

• Sample personal statement

05 August, 2022

Ps - msc international business with data analytics share.

• 12 May, 2013

The business environment is expanding, and globalisation is becoming the norm. Many companies are striving to keep up with these changes and they need graduates who can help them overcome these challenges. After much deliberation, I have decided to pursue MSc International Business with Data Analytics at University of Bedfordshire. The program provides its students with the knowledge and professional skills that go beyond the scope of standard management, and I believe that this program will give the premise to me to advance into a profession with extraordinary potential. In addition, this course also features different modules which will give me the opportunity to apply my theories and ideas in practice, and this will benefit me to enhance my skills and knowledge.

After completion of my Senior School Certificate, I have recently completed Bachelor of Science in Industrial Relations and Personal Management from Lagos State University, Lagos, Nigeria in April 2014. During my study, I was always involved in extracurricular activities and these activities have strengthened my abilities. In addition, I am a principled, dedicated youngster who is reliable and keen to learn new skills. I have been working as a Personal Executive for 5 years at Gems Communications Ltd. I gained valuable skills during my work period. Later, I have done a wide range of research on studying abroad. I believe studying abroad helps students to learn new languages, appreciate other cultures, overcome challenges of living in another country and gain a greater understanding of the world. In addition, these are the requirements that modern businesses look for when hiring, and such traits will only become more important in the future. Moreover, studying abroad also offers a unique opportunity to learn what we know but from a totally different perspective. These are the things which have motivated me to pursue this course at University of Bedfordshire. If I can successfully complete this course, it will create an opportunity to explore different career opportunities such as financial controller or manager, international economist, Business development manager, Policy advisor or analyst or Compliance officer at renowned companies in Nigeria such as Dangote Cement or Seplat Petroleum Development.

According to my research I have found that the MSc International Business with Data Analytics develops future leaders who can bring data skills and insight to their profession. I have read the modules, syllabus and learning outcomes of MSc International Business with Data Analytics which is intellectually stimulating and challenging. By studying this course, I will be able to gain the knowledge, understanding and skills relevant for pursuing a management career within a globally data driven environment. Moreover, it also improves independence, self-direction and self-development of participants for the benefit of the student, organisation and society. In addition, this course will provide an understanding of how these skills are applied at a more strategic level, transforming data into knowledge and insight that drives decisions. As I want to explore my career in business positions, this course will give an upper hand to understand any business contexts and situations. As of the moment, I am interested in learning all the related skills and knowledge from this course. For this reason, this course will be the right choice for my career plans and objectives. After completing this course, I want to come back to my country and establish my career in Managerial positions.

University of Bedfordshire offers units such as Accounting and Finance, Brand Communication and Reputation Management, Business Dissertation, Computer Networks and Security, Data Modelling, Management and Governance, Developing Independent Research, Intercultural Business Competencies, Performance Achievement Planning, Personal Professional Development and Strategic Management. All the modules are highly demanding and suitable to the today’s business world. For professionals, I believe that this course would be the right choice who are looking for a successful career in business sectors.

I am determined to study this course in the UK as the study environment in my country is quite different and we only have the opportunity to study with local students. Furthermore, due to periods of unexpected political unrest, students often struggle to finish their degrees on time. Conversely, the UK has a great multicultural and diversified student community which is an opportunity for me to learn with lot of students from different nationalities. UK education brand is highly respected by employers in our country as UK degree prepare graduates with academic competencies, developed personal and professional skills that are imperative for organizational success. The transferrable skills graduates carry forward from UK are pivotal for transforming organisational growth and gain competitive advantages. This is also a reason to study again in UK. In a recent Survey of International Graduate Outcomes 2019 by Universities UK International produced by iGraduate shows that 82% international graduates say that their UK degree are worth the financial investment and same percentage say they are satisfied or very satisfied with their careers. Nearly 83% feel that UK degree has helped them to get jobs. These aspects have driven my ambition to gain the degree from a UK institution. For this reason, I have decided to pursue this course in the UK.

The University of Bedfordshire is a modern, innovative university with a heritage of top- quality education. With over 22,000 students, we provide outstanding higher education to people from all backgrounds and from over 120 countries, with a significant proportion of mature students and a growing international postgraduate community. In addition, University of Bedfordshire has great industry links with more than 3,000 companies to provide a broad range of training and accredited professional courses for industry employers, including, BT, Sky, Boots, IBM, and the NHS, while the university educates professionals from 90% of FTSE 100 companies. University of Bedfordshire puts students on a fast track that is designed to get postgraduate degree into faster employment with excellent career opportunities. University of Bedfordshire’s modern Luton campus is located only 22 minutes from London with state-of-the-art facilities and innovative teaching methods supports the learning effectively. Moreover, University of Bedfordshire career support services help students build a successful career after graduation. This University brings workplace into classrooms so it will be beneficial for me to attain my personal career objectives by practicing in this type of learning environment. I will look no further if I get this chance to study this course at University of Bedfordshire. I sincerely believe that my talent will be put to optimal use, thereby helping me get closer to my career objectives and aspirations.

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Free Personal Statement On Ms In Analytics (Big Data, Data Analysis)

Type of paper: Personal Statement

Topic: Education , Time , Technology , Business , Development , Information , Knowledge , Mathematics

Words: 1100

Published: 02/02/2020

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With digital technology developing in leaps and bounds, modern day research has become increasingly data intensive. Constant innovation has become the need of the hour if one is to keep pace with day to day technological advanced. The field of analytics is no exception to this demand. In fact, with data and technology becoming inseparable, the role on analysts is continuously evolving. I consider attending the Master of Science in Analytics program at McCormick Nothwestern Engineering as the next phase in my evolution.

“Problems were not the actual ‘problem’, it is thinking of problems as problematic that is the problem” someone once told me. I had found the statement to be funny, honest and thoughtful all at the same time. I had discovered very early in my life that I naturally took a very logically and analytical approach towards problem solving. Whenever I was faced with an issue, whether it was at a personal level or in academics, I always sought to first evaluate the situation, seeking out the causes of my predicaments and then taking a good look around to find a way out. Once I knew the way out, all I needed to do was connect the dots that would lead me out. Over time, I developed a taste for solving problems through analysis. I proved to be exceptionally good in the field of mathematics, being able to find solutions to questions that others found perplexing. Personally, I loved the challenge of finding the answer to a tough question. It gave me a sense of achievement. Another aspect of mathematics that I found to be very interesting is that, while every problem presented a unique challenge, it could be solved using a common set of knowledge and analytical approach. It was in pursuit of my love for mathematics that I completed my Bachelor of Science in Mathematics and Statistics from the University of Missouri Kansas City in the year 2004. I attained a high GPA of 3.9/4.0 in my major, with an overall GPA of 3.5/4.0. I saw my high GPA as further proof of my mathematical and statistical problem solving abilities.

As the time to choose a career path drew near, the field of analytics seemed to be the obvious choice for me. I like to call it ‘natural selection’. While I knew that the field of analytics would be ideal for me, I did not fully anticipate just how thrillingly versatile the role of an analyst could be. It came as a present surprise to me when, over the course of my education and work experience, I realized that I could fit into any industry and use my skills to drive growth and efficiencies in business. Just the thought of the plethora of unique challenges that each industry and business could pose is tremendously exciting to me. Every company, with its many departments, each department having a variety of functions, presents an analyst with a multitude of opportunities to drive efficiencies. The ability to bring about positive change from the process level to corporate strategizing is another aspect of analytics that I found to be extremely attractive. Beginning my career as a Senior Account Receivable Analyst to being the primary Energy Analyst to the Vice President of HIS Purvin & Gertz, the 9 years that I have worked as an analyist have been extremely fruitful and proved to be a continuous journey of learning, growth and development. However, as the realm of business grows and technological advances bring changes to the field of analytics, it is crucial for analysts to ‘upgrade’ themselves too. I personally do not believe in stagnation at any level and would like to keep myself in a perpetual state of learning and knowledge acquisition. I believe that attaining a Masters Degree with a focus on Analytics will allow me to further hone my skills and will prove to be a major boon to my professional growth. What primarily drew me to McCormick Northwestern’s M.Sc. in Analytics programs is the fact that the program takes a holistic approach towards student education and development. The three core areas of data analysis - predictive (forecasting), descriptive (business intelligence and data mining), and prescriptive (optimization and simulation) – are covered under the program. This will give me a well rounded, in-depth academic understanding focused on analytics. While I have a B.Sc. Degree in Mathematics and Statistics, my analytics specific knowledge has mainly been derived from experience. I believe, in order to acquire sharp comprehension, sound knowledge, and effective skills, academic qualification is a crucial factor. I would like to develop this aspect of my professional profile through this course. Further, the program has a focus on training students in a host of industry tools, wherein students get training directly from vendors. I am looking forward to updating my technological competency as this is crucial for effectively mining and reporting data. Finally, I am looking forward to learning from the one of the best analytics faculty in the nation as well as industry experts and instructors from other prominent schools such as the Kellogg School of Management. I believe this will allow me to develop a fresh, comprehensive perspective towards the integration of the realms of business, technology and analytics. With the massive growth in databases, I believe Big Data Analytics and Management will be the major influence in the field of business and analytics. Data volumes that analysts today have to deal with are nearly incomprehensible. Data is derived from a host of sources that may be disparate and managing to draw sensible analytical data will be the challenge over the next five years. In order to ‘tame the beast’, there have already been several key developments. The Discovery Platform has become commonly used to provide analysts with a stable workstation from where they can explore data and perform experiments within a fraction of the time taken using traditional methods. Big Data applications will also see a major boom as businesses seek to harness mobile and web technologies to tap into big data insights. I believe that this will be the sphere in which businesses will be able to attain a competitive edge through early adaptation. That is exactly what I intend to do through the M.Sc. in Analytics program at McCormick Northwestern University – adapt early. I believe this program will prepare me for the technological changes expected in the near future and the impact that they will have on the field of analytics. By taking this step towards the next stage in my career path, I will be able to work towards higher competencies in assisting senior management to make effective business decisions and strategies and preparing them to adopt the new world of analytics.

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BSc Economics, Finance and Data Science: writing a UCAS personal statement to impress

We are excited that you are considering applying for our new BSc Economics, Finance and Data Science course at Imperial College Business School. One of the things you will be wondering about is how to show your enthusiasm and suitability for the degree in your UCAS personal statement. In this blog, I will provide some pointers and, hopefully, reassurance.

The challenge

Let us start with the big challenge you face. You need to write one personal statement, when you are applying to up to five courses, potentially across five universities. We know that it is highly unlikely that all the options on your personal statement will be economics + finance + data science. We are not looking for students who specifically say they are only interested in studying a course with this combination of subjects, although an interest in this combination would be nice!

Hopefully, this will reassure those wondering how to write a statement that is relevant for multiple courses with different combinations of economics, finance, data science, philosophy, politics, business studies, geography, maths, computer science, and many other subjects. Of course, it is best not to signal that you are only interested in studying politics, philosophy and economics or pure maths or that you dream of studying at a particular institution or in a specific city.

We are looking for applicants who have a strong preference to study our degree, but we understand you may need to be nuanced in how you present your interest.

What we are looking for

We will be assessing your application (grade predictions; past grades; reference letter; and personal statement) in the round. There are six things that we are looking for from potential students . They are:

• Bright with strong academic achievements
• Excited by, and have strong potential for, analytical problem solving
• Curious to use economics and/or finance to explore evolving challenges in commercial, policy or third sector contexts
• Passionate to learn how to use data analysis and cutting-edge technique to examine economics and/or finance questions
• A motivated and engaged learner who works well independently and with others, with strong communication skills

Your job is to convince us that you have evidence that you meet these criteria. This is where you get to tell your story in a way that works for your application. 

How to tell your story

Try to go beyond your grades, show your curiosity and let us know what makes you stand out from an academic perspective.

There are a multitude of ways to evidence your curiosity about the different subjects in our degrees, including but not limited to:

• Subjects chosen at school
• Projects that you have worked on
• Talks that you have attended or listened to online
• Books you have read
• Ideas you have had about the relevance of these subjects to business and policy

Again, just to reassure, you can demonstrate your curiosity about all three areas, but convincing evidence of curiosity about just one of the areas or any combination of the three will also be well regarded.

It is also worth emphasising that we do not expect you to have studied the subjects before the course . Our requirement is that you come with strong mathematical skills which will put you in a strong position to learn economics, finance, and data science to a high level in the degree.

An effective way to show us you are suitable for the BSc Economics, Finance and Data Science is to hone in on the areas that are common across our course modules : strong quantitative skills and the ability to use those skills to analyse and solve problems.

Applicants who love to work on a new challenge or situation and who use quantitative techniques to find relevant solutions are what we are looking for. This can be demonstrated, for example, through your choice of academic subjects in school, participation in extra-curricular activities and competitions or a story that explains how you solved a new problem in your life. Evidence of you learning how to use technology to support your problem solving is also a nice touch!

You will have your own way of showing us that you are motivated, using examples of times when you were driven to succeed . Similarly, personal stories that show your ability to develop your learning skills (‘learn how to learn’), working independently and with others, will be important. This will help us see that you are likely to succeed in our course, given the need to take ownership of your learning, work independently and engage with group work during your three years.

Our final criterion is communication. How you write the statement will tell us a lot. You can also provide wider evidence of your skills in delivering presentations, writing diverse types of outputs, and listening to others.

Every applicant is unique, and we encourage you to show us what makes you a strong candidate in your personal statement . Of course, if you are invited to interview, we will want to explore your motivation to study the three subject areas together and will dig deeper into how you match what we are looking for.

I hope this helps you shape your statement and wish you well in preparing your application!

About Cloda Jenkins

Sample Personal Statement – Business Analytics

This is a good example of a Personal Statement for applying to a master’s program focusing on Business Analytics, Data Science and Marketing, or anything related to SEO.

If you need help writing your SOP or Personal Statement, check out our SOP Writing Service

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CRediT author statement

CRediT (Contributor Roles Taxonomy) was introduced with the intention of recognizing individual author contributions, reducing authorship disputes and facilitating collaboration. The idea came about following a 2012 collaborative workshop led by Harvard University and the Wellcome Trust, with input from researchers, the International Committee of Medical Journal Editors (ICMJE) and publishers, including Elsevier, represented by Cell Press.

CRediT offers authors the opportunity to share an accurate and detailed description of their diverse contributions to the published work.

The corresponding author is responsible for ensuring that the descriptions are accurate and agreed by all authors

The role(s) of all authors should be listed, using the relevant above categories

Authors may have contributed in multiple roles

CRediT in no way changes the journal’s criteria to qualify for authorship

CRediT statements should be provided during the submission process and will appear above the acknowledgment section of the published paper as shown further below.

*Reproduced from Brand et al. (2015), Learned Publishing 28(2), with permission of the authors.

Sample CRediT author statement

Zhang San:  Conceptualization, Methodology, Software  Priya Singh. : Data curation, Writing- Original draft preparation.  Wang Wu : Visualization, Investigation.  Jan Jansen :  Supervision. : Ajay Kumar : Software, Validation.:  Sun Qi:  Writing- Reviewing and Editing,

Read more about CRediT  here opens in new tab/window  or check out this  article from  Authors' Updat e:  CRediT where credit's due .

Sample Personal Statement Management and Analytics (LBS)

by Talha Omer, MBA, M.Eng., Harvard & Cornell Grad

In personal statement samples by field.

Here is the personal statement of an applicant who got admitted to London Business Schools (LBS) Masters in Analytics and Management program . For personal statement, LBS poses several questions to applicants, which the admissions committee expects to be answered in an essay form. LBS provides these personal statement prompts to encourage students to self-reflect and then to share their insights with the program.

The following essays are an example of a compelling story and reflect the original voice and personality of the applicant. Get inspiration from them and try to incorporate their strengths into your own personal statement.

Related Personal Statements 1) Sample Personal Statement Business Analytics 2) Sample Personal Statement in Advanced Analytics (admitted to NCSU) 3) Sample Personal Statement in Analytics (admitted to Georgia Tech) 4) Sample Personal Statement in Data Science and Analytics (admitted to CMU and Vanderbilt)

In this Article

Personal Statement Prompt 1

Personal statement prompt 2, personal statement prompt 3, personal statement prompt 4.

Based on your current knowledge of the program, what do you think will be the key challenges for you during the Masters’s in Analytics and Management, both academically and personally? How do you intend to overcome these challenges?

I am genuinely excited by LBS’s plethora of academic and non-academic opportunities. I look forward to effectively utilizing the time to the best of my and my cohort’s advantage. However, academically and personally, such vast opportunities present challenges around prioritizing the most critical opportunities I need to be involved in since time constraints will limit the options I can take advantage of.

For this, I hope to be involved around the most focused personal and professional goals, which would be leveraging networking opportunities, active participation in Private Equity club events, volunteering in the Social Impact Club, and setting up a Boxing Club at LBS (to continue my extensive boxing routine). 

On an academic note, I believe that the MAM students will be exposed to complex data sets that require cleaning before further analysis or processing with machine learning. Since poor quality data correlates to lost revenue, effective data management practices are critical to obtaining optimal data analytics. While at Barclays Capital, I spent most of my time on data projects to clean the data. Before working at a hedge fund, I was an associate at PwC. I was responsible for creating the company’s first fully automated valuation process from first principles. It consisted of industry-specific valuation templates that would use analyst report data and an API through Barclay’s IQ to gather further information from the MD&A section to give a complete valuation. The challenge at PwC required analysts to spend considerable time on manual inputs. However, this solution saw significant savings for the firm and is used by PwC worldwide. Having spent time navigating the data management challenge, I look forward to applying the techniques learned and the practical exposure developed to take the LBS’ complex data deconstruction and analysis challenge. This will require learning new tools and methods, and I look forward to the opportunity. I also realize that teamwork is paramount for collective success in the modern world. Therefore, I look forward to sharing my expertise and learning from my peers in the process. This will amplify mutual gains manifold. 

Another major challenge at LBS will be to develop tangible solutions to real-world business problems. For this, initiatives such as the Global Immersion Field Trips and London LAB will offer the opportunity to challenge me both individually and as a team to evaluate real-life business problems. 

Since my goal is to enter hedge fund management, I need to upgrade my investment management analysis skills by learning advanced coding for efficient algorithm development. I would like to leverage my experience building a customized Algorithm at Barclays despite not knowing much about coding. I will try to challenge myself by actively taking courses and projects that provide the most opportunities to build this skill, and I will also learn from my more knowledgeable colleagues in the field in the process.

Lastly and most importantly, interacting with more than 11 nationalities with vastly diverse experiences in the class cohort will present challenges around understanding the vastly different cultural nuances, moving around language barriers, and understanding and appreciating their perspectives in the class and beyond. This will be vital for a transformational and well-rounded MAM experience. I intend to utilize my International experience of studying and working in Australia and Canada and my American perspective to make this transition smooth for me and my cohort.

To conclude, I believe every challenge is an opportunity for self-reflection and challenges one to grow out of comfort zone and succeed. Therefore, I eagerly await LBS’s challenges to convert them into life-changing learning opportunities. 

As an aspiring entrepreneur in investment and finance, the Masters in Analytics and Management program at LBS offers world-class learning opportunities to help me achieve my future career goals. Given my passion for financial analytics, I am enthusiastic about setting up a Quantitative Hedge Fund upon graduating from LBS. During my undergraduate, I co-founded a philanthropic Hedge Fund, The Australian Students Asset Management. The intervarsity fund aims to teach students the fundamentals of investing while donating the generated returns. In addition, I hope to expand on our current operations with a new “for-profit” fund focusing on statistical arbitrage trading strategies.

I have developed exposure to arbitrage trading strategies while working as an Analyst at Barclays Capital, a Global Hedge Fund. During my time with the fund, I learned basic programming like VBA and Python, which was critical in transforming my ideas into successful trading algorithms. With advanced, formal programming training, I can maximize the efficiency of these algorithms to decrease the time required to execute the programs and react to new market data sets effectively. With my ambitions lying in starting a quantitative hedge fund, the skills I learn in the MAM program will allow me to manipulate large data sets and automate trading decisions and executions. As such, the “machine learning” course is also fascinating for me as it will allow me to develop an understanding of deep learning and training neural networks to analyze a wide variety of data, including text, audio, and images. This will add new dimensions to my skill repertoire, currently limited to spreadsheet analysis. I am also eager to learn topics related to general dimension reduction techniques and Ensemble methods, as their use in forming accurate price derivatives would be invaluable.

Apart from building up my data analysis skills, I am eager to improve my management skills at LBS. My professional experience has helped me understand the importance of having a firm investment philosophy and vision to allocate capital efficiently, especially in times of poor performance and challenging external environments. I believe the program will equip me with the necessary tools and frameworks to create and communicate a similar sustainable management philosophy and develop a competitive advantage by tackling challenges from a strategic perspective. In addition, I aim to perfect the core problem-solving and decision-making skills that will provide me the confidence to operate a robust, successful global business model.

The MAM program will also allow me to interact with a diverse, talented, and global cohort of students along with the vast alumni base of LBS. During my time at LBS, I hope to build a solid and diverse network of current and future leaders in the Investment Management Industry to develop and appreciate multiple cultural and organizational perspectives. Ideally, I would love to bounce off entrepreneurial ideas with like-minded students and learn from mentors who have succeeded as entrepreneurs.

I also aspire to improve my interpersonal skills since it is as crucial as having technical skills like Data analysis for professional success.

Overall, the strength of the MAM program lies in its innovative programming and database curriculum coupled with extensive opportunities for developing strong interpersonal and management skills. As a MAM program graduate, I am confident that I will develop the proficiency to create a strong business impact in today’s complex and dynamic financial markets through active, well-rounded engagement inside and outside the classroom.

Describe a professional or academic data-driven project you have been involved with. What did you contribute to the project?

As an analyst at Barclays Capital, a leading quantitative hedge fund, I was assigned to independently create, develop and implement a systematic long/short pair trading strategy using every identifiable global oligopoly. The goal was to develop a scalable plan implemented across Australia and EMEA with a significantly high risk-adjusted return yield (>20%) by firm standards. 

The first task to develop the desired strategy was integrating and cross-valid multiple generals and industry-specific databases, including FactSet, Bloomberg, IBIS World, and Global Data. Working alongside my portfolio managers and senior analysts, I was responsible for thoroughly researching the accuracy and relevance of each database, which was then exhaustively reviewed and approved by the team.

Next, I had to measure firms’ market power in oligopolies to determine their industry influence. As only a few industries had directly available market share information, the task was immensely complex. I used the firm’s percentage of total industry revenue and production as the market power index, which required analyzing the financial data of every firm to determine its market share. I created an efficient VBA Excel Macro that collected data on over 540,000 firms to determine oligopolies for over 150 industry classifications.

Afterward, I evaluated the selected firms to determine possible long/short trading pairs within each industry. I identified firms with a consistent pricing relationship after analyzing historical data of 10 years to develop an algorithm that evaluated this big data set and determined pairs using mathematical principles around cointegration. I also developed a proprietary trading signal based on the probability of the mean reversion on pairs. Each pair had over 1,000 trades during the chosen time window and created problems in efficiency. I handled this challenge of analyzing over 400,000 trades by researching academic papers like ‘Risk and Return on Convertible Arbitrage’ by LBS researchers Naik and Fung and learning concepts like volatility trend analysis from my expert colleagues. 

The developed algorithm yields a highly desirable annualized return of 33%. Moreover, this project has allowed me to challenge myself by learning programming and VBA excel macro despite little experience. I also developed a deeper understanding of the mathematical principles involved in financial data science. Overall, it was a great learning experience, and I hope to build upon this experience during my time at LBS.  

How will you contribute to the School community during your time as a master’s in Analytics and Management student?

During my time at LBS, I will pursue my personal and professional passions such that I can uplift the overall MAM experience for the entire cohort. In addition, I will leverage the diversity of my experiences to contribute to a practical MAM experience for the school community. 

During my time at UNSW, I co-launched Australia’s first intervarsity long/short investment fund, Australian Students Asset Management (ASAM) which now includes a network of 40 mentors from reputable industry partners such as Goldman Sachs, Blackstone, and Point 72. I will utilize this entrepreneurial finance self-initiative experience and the skills learned to bring hands-on insights to class discussions to improve the learning experience for the entire class. This will be especially valuable for budding entrepreneurs fancying their chances in investment and entrepreneurial finance.

I am intrigued by the “beyond-classroom” opportunities at LBS. With societies like the Private Equity & Venture Capital Club and the Social Impact Hub, I aim to contribute outside the class to the school community. As a member of the Private Equity & Venture Capital club, I plan to participate in conferences like MultipleX, where I can learn from successful CEOs and company partners. In addition, I was a consultant at UNSW Social Impact Hub, where I led a group of 5 to access and structure a Social Impact Bond valued at $500,000, the largest of its kind in UNSW history. Leveraging this experience at LBS, I hope to also create a similar impact in this sphere. 

On a personal level, I want to bring my lifelong personal passion for boxing to LBS. Currently, LBS does not have a boxing society, and I would love to lead the opportunity of founding the “boxing society.” As an active member of the UNSW boxing society, I understand the nuances of running a sports society which will help smooth launching of the society at LBS. In addition, along with regular boxing events, I can lead the teaching of free self-defense classes to the LBS community, which is a critical skill in the modern day and age to ensure personal safety. 

In conclusion, I hope to make the best use of the opportunities at LBS to build a solid MAM experience for the entire community by bringing diverse perspectives to the table both inside and outside the classroom.

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Introducing Microsoft 365 Copilot – your copilot for work

Mar 16, 2023 | Jared Spataro - CVP, AI at Work

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Humans are hard-wired to dream, to create, to innovate. Each of us seeks to do work that gives us purpose — to write a great novel, to make a discovery, to build strong communities, to care for the sick. The urge to connect to the core of our work lives in all of us. But today, we spend too much time consumed by the drudgery of work on tasks that zap our time, creativity and energy. To reconnect to the soul of our work, we don’t just need a better way of doing the same things. We need a whole new way to work.

Today, we are bringing the power of next-generation AI to work. Introducing Microsoft 365 Copilot — your copilot for work . It combines the power of large language models (LLMs) with your data in the Microsoft Graph and the Microsoft 365 apps to turn your words into the most powerful productivity tool on the planet.

“Today marks the next major step in the evolution of how we interact with computing, which will fundamentally change the way we work and unlock a new wave of productivity growth,” said Satya Nadella, Chairman and CEO, Microsoft. “With our new copilot for work, we’re giving people more agency and making technology more accessible through the most universal interface — natural language.”

Copilot is integrated into Microsoft 365 in two ways. It works alongside you, embedded in the Microsoft 365 apps you use every day — Word, Excel, PowerPoint, Outlook, Teams and more — to unleash creativity, unlock productivity and uplevel skills. Today we’re also announcing an entirely new experience: Business Chat . Business Chat works across the LLM, the Microsoft 365 apps, and your data — your calendar, emails, chats, documents, meetings and contacts — to do things you’ve never been able to do before. You can give it natural language prompts like “Tell my team how we updated the product strategy,” and it will generate a status update based on the morning’s meetings, emails and chat threads.

With Copilot, you’re always in control. You decide what to keep, modify or discard. Now, you can be more creative in Word, more analytical in Excel, more expressive in PowerPoint, more productive in Outlook and more collaborative in Teams.

Microsoft 365 Copilot transforms work in three ways:

Unleash creativity. With Copilot in Word, you can jump-start the creative process so you never start with a blank slate again. Copilot gives you a first draft to edit and iterate on — saving hours in writing, sourcing, and editing time. Sometimes Copilot will be right, other times usefully wrong — but it will always put you further ahead. You’re always in control as the author, driving your unique ideas forward, prompting Copilot to shorten, rewrite or give feedback. Copilot in PowerPoint helps you create beautiful presentations with a simple prompt, adding relevant content from a document you made last week or last year. And with Copilot in Excel, you can analyze trends and create professional-looking data visualizations in seconds.

Unlock productivity. We all want to focus on the 20% of our work that really matters, but 80% of our time is consumed with busywork that bogs us down. Copilot lightens the load. From summarizing long email threads to quickly drafting suggested replies, Copilot in Outlook helps you clear your inbox in minutes, not hours. And every meeting is a productive meeting with Copilot in Teams. It can summarize key discussion points — including who said what and where people are aligned and where they disagree — and suggest action items, all in real time during a meeting. And with Copilot in Power Platform, anyone can automate repetitive tasks, create chatbots and go from idea to working app in minutes.

GitHub data shows that Copilot promises to unlock productivity for everyone. Among developers who use GitHub Copilot, 88% say they are more productive, 74% say that they can focus on more satisfying work, and 77% say it helps them spend less time searching for information or examples.

But Copilot doesn’t just supercharge individual productivity. It creates a new knowledge model for every organization — harnessing the massive reservoir of data and insights that lies largely inaccessible and untapped today. Business Chat works across all your business data and apps to surface the information and insights you need from a sea of data — so knowledge flows freely across the organization, saving you valuable time searching for answers. You will be able to access Business Chat from Microsoft 365.com, from Bing when you’re signed in with your work account, or from Teams.

Uplevel skills. Copilot makes you better at what you’re good at and lets you quickly master what you’ve yet to learn. The average person uses only a handful of commands — such as “animate a slide” or “insert a table” — from the thousands available across Microsoft 365. Now, all that rich functionality is unlocked using just natural language. And this is only the beginning.

Copilot will fundamentally change how people work with AI and how AI works with people. As with any new pattern of work, there’s a learning curve — but those who embrace this new way of working will quickly gain an edge.

The Copilot System: Enterprise-ready AI

Microsoft is uniquely positioned to deliver enterprise-ready AI with the Copilot System . Copilot is more than OpenAI’s ChatGPT embedded into Microsoft 365. It’s a sophisticated processing and orchestration engine working behind the scenes to combine the power of LLMs, including GPT-4, with the Microsoft 365 apps and your business data in the Microsoft Graph — now accessible to everyone through natural language.

Grounded in your business data. AI-powered LLMs are trained on a large but limited corpus of data. The key to unlocking productivity in business lies in connecting LLMs to your business data — in a secure, compliant, privacy-preserving way. Microsoft 365 Copilot has real-time access to both your content and context in the Microsoft Graph. This means it generates answers anchored in your business content — your documents, emails, calendar, chats, meetings, contacts and other business data — and combines them with your working context — the meeting you’re in now, the email exchanges you’ve had on a topic, the chat conversations you had last week — to deliver accurate, relevant, contextual responses.

Built on Microsoft’s comprehensive approach to security, compliance and privacy. Copilot is integrated into Microsoft 365 and automatically inherits all your company’s valuable security, compliance, and privacy policies and processes. Two-factor authentication, compliance boundaries, privacy protections, and more make Copilot the AI solution you can trust.

Architected to protect tenant, group and individual data. We know data leakage is a concern for customers. Copilot LLMs are not trained on your tenant data or your prompts. Within your tenant, our time-tested permissioning model ensures that data won’t leak across user groups. And on an individual level, Copilot presents only data you can access using the same technology that we’ve been using for years to secure customer data.

Integrated into the apps millions use every day. Microsoft 365 Copilot is integrated in the productivity apps millions of people use and rely on every day for work and life — Word, Excel, PowerPoint, Outlook, Teams and more. An intuitive and consistent user experience ensures it looks, feels and behaves the same way in Teams as it does in Outlook, with a shared design language for prompts, refinements and commands.

Designed to learn new skills.  Microsoft 365 Copilot’s foundational skills are a game changer for productivity: It can already create, summarize, analyze, collaborate and automate using your specific business content and context. But it doesn’t stop there. Copilot knows how to command apps (e.g., “animate this slide”) and work across apps, translating a Word document into a PowerPoint presentation. And Copilot is designed to learn new skills. For example, with Viva Sales, Copilot can learn how to connect to CRM systems of record to pull customer data — like interaction and order histories — into communications. As Copilot learns about new domains and processes, it will be able to perform even more sophisticated tasks and queries.

Committed to building responsibly

At Microsoft, we are guided by our AI principles and Responsible AI Standard and decades of research on AI, grounding and privacy-preserving machine learning. A multidisciplinary team of researchers, engineers and policy experts reviews our AI systems for potential harms and mitigations — refining training data, filtering to limit harmful content, query- and result-blocking sensitive topics, and applying Microsoft technologies like InterpretML and Fairlearn to help detect and correct data bias. We make it clear how the system makes decisions by noting limitations, linking to sources, and prompting users to review, fact-check and adjust content based on subject-matter expertise.

Moving boldly as we learn  

In the months ahead, we’re bringing Copilot to all our productivity apps—Word, Excel, PowerPoint, Outlook, Teams, Viva, Power Platform, and more. We’ll share more on pricing and licensing soon. Earlier this month we announced Dynamics 365 Copilot as the world’s first AI Copilot in both CRM and ERP to bring the next-generation AI to every line of business.

Everyone deserves to find purpose and meaning in their work — and Microsoft 365 Copilot can help. To serve the unmet needs of our customers, we must move quickly and responsibly, learning as we go. We’re testing Copilot with a small group of customers to get feedback and improve our models as we scale, and we will expand to more soon.

Learn more on the Microsoft 365 blog and visit WorkLab to get expert insights on how AI will create a brighter future of work for everyone.

And for all the blogs, videos and assets related to today’s announcements, please visit our microsite .

Tags: AI , Microsoft 365 , Microsoft 365 Copilot

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Reports show scammers cashing in on crypto craze

From Super Bowl ads to Bitcoin ATMs, cryptocurrency seems to be everywhere lately. Although it’s yet to become a mainstream payment method, reports to the FTC show it’s an alarmingly common method for scammers to get peoples’ money. Since the start of 2021, more than 46,000 people have reported losing over $1 billion in crypto to scams [1] – that’s about one out of every four dollars reported lost, [2] more than any other payment method. The median individual reported loss? A whopping $2,600. The top cryptocurrencies people said they used to pay scammers were Bitcoin (70%), Tether (10%), and Ether (9%). [3]  

Crypto has several features that are attractive to scammers, which may help to explain why the reported losses in 2021 were nearly sixty times what they were in 2018. There’s no bank or other centralized authority to flag suspicious transactions and attempt to stop fraud before it happens. Crypto transfers can’t be reversed – once the money’s gone, there’s no getting it back. And most people are still unfamiliar with how crypto works. These considerations are not unique to crypto transactions, but they all play into the hands of scammers.

Reports point to social media and crypto as a combustible combination for fraud. Nearly half the people who reported losing crypto to a scam since 2021 said it started with an ad, post, or message on a social media platform. [4]

During this period, nearly four out of every ten dollars reported lost to a fraud originating on social media was lost in crypto, far more than any other payment method. [5] The top platforms identified in these reports were Instagram (32%), Facebook (26%), WhatsApp (9%), and Telegram (7%). [6]

Of the reported crypto fraud losses that began on social media, most are investment scams . [7] Indeed, since 2021, $575 million of all crypto fraud losses reported to the FTC were about bogus investment opportunities, far more than any other fraud type. The stories people share about these scams describe a perfect storm: false promises of easy money paired with people’s limited crypto understanding and experience. Investment scammers claim they can quickly and easily get huge returns for investors. But those crypto “investments” go straight to a scammer’s wallet. People report that investment websites and apps let them track the growth of their crypto, but it’s all fake. Some people report making a small “test” withdrawal – just enough to convince them it’s safe to go all in. When they really try to cash out, they’re told to send more crypto for (fake) fees, and they don’t get any of their money back.

Romance scams are a distant second to investment scams, with $185 million in reported cryptocurrency losses since 2021 – that’s nearly one in every three dollars reported lost to a romance scam during this period. [8] And many have an investment twist too. These keyboard Casanovas reportedly dazzle people with their supposed wealth and sophistication. Before long, they casually offer tips on getting started with crypto investing and help with making investments. People who take them up on the offer report that what they really got was a tutorial on sending crypto to a scammer. The median individual reported crypto loss to romance scammers is an astounding $10,000.

Business and government impersonation scams are next with $133 million in reported crypto losses since 2021. These scams can start with a text about a supposedly unauthorized Amazon purchase, or an alarming online pop-up made to look like a security alert from Microsoft. From there, people are reportedly told the fraud is extensive and their money is at risk. The scammers may even get the “bank” on the line to back up the story. (Pro tip: it’s not the bank.) In another twist, scammers impersonating border patrol agents have reportedly told people their accounts will be frozen as part of a drug trafficking investigation. These scammers tell people the only way to protect their money is to put it in crypto: people report that these “agents” direct them to take out cash and feed it into a crypto ATM. The “agent” then sends a QR code and says to hold it up to the ATM camera. But that QR code is embedded with the scammer’s wallet address. Once the machine scans it, their cash is gone.

People ages 20 to 49 were more than three times as likely as older age groups to have reported losing cryptocurrency to a scammer. [9] Reports point to people in their 30s as the hardest hit – 35% of their reported fraud losses since 2021 were in cryptocurrency. [10] But median individual reported losses have tended to increase with age, topping out at $11,708 for people in their 70s. [11]

Here are some things to know to steer clear of a crypto con:

• Only scammers will guarantee profits or big returns. No cryptocurrency investment is ever guaranteed to make money, let alone big money.
• Nobody legit will require you to buy cryptocurrency. Not to sort out a problem, not to protect your money. That’s a scam.
• Never mix online dating and investment advice . If a new love interest wants to show you how to invest in crypto, or asks you to send them crypto, that’s a scam.

To learn more about cryptocurrency scams – and how to spot and avoid scams generally – visit ftc.gov/cryptocurrency and ftc.gov/scams . Report scams to the FTC at ReportFraud.ftc.gov .

[1]These figures and figures throughout this Spotlight, unless otherwise noted, are based on fraud reports made directly to the FTC in the Consumer Sentinel Network database from January 1, 2021 through March 31, 2022 that indicated cryptocurrency as the payment method. Reports provided by Sentinel data contributors are excluded because of inconsistencies among contributors in capturing payment information. Because the vast majority of frauds are not reported, these figures reflect just a small fraction of the public harm.  See  Anderson, K. B.,  To Whom Do Victims of Mass-Market Consumer Fraud Complain?  at 1 (May 2021),  available at   https://papers.ssrn.com/sol3/papers.cfm?abstract_id=3852323  (study showed only 4.8% of people who experienced mass-market consumer fraud complained to a Better Business Bureau or a government entity).

[2] From January 1, 2021 through March 31, 2022, cryptocurrency was identified as the payment method for 24% of reported dollar losses in fraud reports to the FTC.

[3]These figures exclude reports that did not specify the type of cryptocurrency.

[4] From January 1, 2021 through March 31, 2022, 49% of fraud reports to the FTC indicating cryptocurrency as the payment method specified that the scam started on social media, compared to 37% in 2020, 18% in 2019, and 11% in 2018.

[5] From January 1, 2021 through March 31, 2022, $1.1 billion was reported to the FTC as lost to fraud originating on social media. Of that number, 39% was reported as paid using cryptocurrency, followed by bank transfer or payment (20%), and wire transfer (9%). 8% did not indicate a payment method.

[6] These figures exclude reports that did not specify a social media platform.

[7] From January 1, 2021 through March 31, 2022, people reported to the FTC that $417 million in cryptocurrency was lost to fraud originating on social media. $273 million of these losses were to fraud categorized as investment related, followed by romance scams ($69 million), and business imposters ($35 million).

[8] From January 1, 2021 through March 31, 2022, cryptocurrency was identified as the payment method for 29% of reported dollar losses to romance scams.

[9] From January 1, 2021 through March 31, 2022, people ages 20 to 49 submitted fraud loss reports to the FTC indicating social media as the contact method at a rate 3.4 times greater than people 50 and over. About 91% of fraud reports indicating cryptocurrency as the payment method during this period included age information. This age comparison is normalized based on the number of loss reports per million population by age during this period. Population numbers were obtained from the U.S. Census Bureau Annual Estimates of the Resident Population for Selected Age Groups by Sex for the United States (June 2020).

[10] From January 1, 2021 through March 31, 2022, the percentage of total reported fraud losses that were lost in cryptocurrency by age were as follows: 12% (18-19), 23% (20-29), 35% (30-39), 33% (40-49), 28% (50-59), 19% (60-69), 10% (70-79), and 2% (80 and over). These figures exclude reports that did not indicate age.

[11] From January 1, 2021 through March 31, 2022, the median individual reported cryptocurrency losses to fraud by age were as follows: $1,000 (18-19), $1,600 (20-29), $2,500 (30-39), $3,200 (40-49), $5,000 (50-59), $8,500 (60-69), $11,708 (70-79), and $8,100 (80 and over).

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More from the Data Spotlight

Who’s who in scams: a spring roundup, impersonation scams: not what they used to be, social media: a golden goose for scammers, iykyk: the top text scams of 2022.