business and data analytics personal statement

Sample Personal Statement Data Science and Analytics

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

In personal statement samples by field.

The demand for data science experts is increasing in every industry, not just in technology. Moreover, it is a high-paying job with a guaranteed placement even before graduation. Hence, the competition is also increasing, and with every passing year, the ease of getting into a top data analytics program keeps getting harder. So, start early with your application and make sure you put good time into drafting your perfect application essays.

Here is a sample personal statement of data science professional with two years of experience working in a big data consulting firm. This candidate was able to secure admission into top data science programs like Vanderbilt and CMU. He has graciously shared his successful essay so that prospective applicants can benefit from it.

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 Management and Analytics (admitted to LBS)

Sample Personal Statement for Big Data/Data Science/Data Analytics

I want to play a critical role as a big data architect who translates business problems into solvable analytics. In the short run, I want to work for a leading FMCG firm like Unilever, P&G, or Nestle and define procedures and models to determine what IT systems gather and remove information silos across different departments. In the long run, however, I want to extend my expertise in the public sector and advise corporates and governments alike across the globe to solve several social and business problems through big data.

My undergraduate has equipped me with extensive quantitative knowledge and technical experience around different themes in Computer Engineering. I’ve focused most of my studies on GUI in C++, apps and game development, and intensive numerical analysis. This was further honed when I joined Afiniti Experience Ltd as Software Engineer.

I have written scripts using MySQL and MSSQL to process large datasets and troubleshoot and configure the company’s operations. At Afiniti, I have developed a strong skillset in collecting, storing and managing big data. I plan to translate business problems into analytics-driven solutions, which I would embed into business operations. However, I must first curate my leadership skills and polish my skillset in designing computational pipelines for high-dimensional and large-scale complex data.

At Vanderbilt, I want to develop my theoretical basis of operations and decision technologies which ideally dovetails with my career interests of applying quantitative techniques in business operations. Beyond the classroom, I would greatly appreciate the opportunity to learn from and collaborate with Vanderbilt’s influential faculty. The Data Science Institute will allow me to learn data-driven research and train me as a future leader.

In particular, the techniques of Gautam Biswas on learner modeling and adaptivity are foundational for my current work. Moreover, Jeffrey D. Blume’s expertise in statistical inference and methodology for analyzing and interpreting receiver operating characteristic curves will equip me with tools through which I can excel in my future career.

My future aspirations require strong leadership qualities recognized in a data-driven world. For this purpose, I would greatly benefit from Data Science Institute’s capstone development and lead a project from scratch. This will mold my personality into a global leader’s persona.

Lastly, I will exploit the locational advantage of living at Vanderbilt and gain access to multiple fortune 500 companies where I can seek pro bono consulting opportunities and enhance my problem-solving acumen. I am also confident in acquiring the necessary communication skills to present solutions to Product Managers, Sales Associates, Engineers, and Marketing Teams.

To sum up, owing to my aspirations and professional expertise in big data synthesis, I am confident of using the vibrant opportunities at Vanderbilt’s master’s in data science and converting it into an ideal segue for my future career aspirations.

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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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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.

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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.

Pavan Vadapalli

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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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Business Analytics Personal Statement Examples

Your business analytics personal statement (SOP) is a key component of your application to the Master of Business Analytics (MBA) program. Besides laying out your career goals, the SOP also should describe your skill set. If you have any weaknesses, discuss how you overcame them. In any case, your SOP should not exceed the word limit of the university. Be yourself, but don’t be too formal – your SOP should not be a resume.

Table of Contents

Writing a business analytics personal statement

The SOP should explain your motivation for pursuing a career in business analytics. In the first paragraph, you should briefly explain what prompted you to study this particular course. Your background, skills, and extracurricular activities should also be mentioned. In the third and fourth paragraphs, talk about your short and long-term career goals, and why you think these skills and interests are complementary. Be sure to keep your tone professional and positive throughout the entire essay.

When writing an SOP for Business Analytics, remember to think outside of the box and include relevant details about your background. Include your achievements in school and college. You can also include your professional history and highlight how your previous experiences helped you realize your interest in the Business world. You should also list down your programming skills and analytical skills. Make sure to mention your previous work experience if it relates to Business Analytics. Finally, remember to proofread your SOP before you send it off. Even a simple typo can make you appear unprofessional.

Structure of the SOP

The Structure of the SOP in business analytics personal statements should include a personal introduction that explains your traits, interests, and habits. It should also highlight your professional skills, including your work ethic, analytical skills, and willingness to work as part of a team. Lastly, it should describe the course you’re applying to, including which institutions you’ve applied to and why. In short, your SOP should show why you’re a good fit for the program.

The Structure of the SOP in business analytics personal statements should be interesting to read, and not too formal. Admission committees are looking for determinants of personality, so make your statement about yourself as real as possible. Ultimately, it will help the admissions committee understand who you are. Be yourself! Don’t over-emphasize your accomplishments and your experience. Make sure your statement is clear, concise, and well-written.

Be yourself in the SOP

While writing the Business Analytics personal statement, be yourself. You can begin by telling the reader why you want to study business analytics and then elaborate on your future goals. Don’t be too polished or overstate your achievements. Be real about your weaknesses and shortcomings, and emphasize how you overcame them. Avoid using overly formal language, especially when describing your past. The admissions committee wants to see the real you, so you should avoid sounding like an academic, but rather a business person.

In the Business Analytics personal statement, discuss your preferences for college and the courses you want to take. Include your interests, hobbies, and daily routine. Also, mention your skills and how you would work with a team. Make sure to talk about how you are willing to learn and work hard. If possible, mention your work experience. These experiences may prove to be helpful in your future career. The MBA program is competitive, so be honest about your experiences.

Check spelling and grammar

Before you start your statement, check your grammar and spelling for mistakes. Make sure to avoid using passive voice, cliches, and long sentences. Also, make sure to keep the tone professional. Avoid colloquialisms, hashtags, and casual language. This is your statement, and you want to convey your professionalism as best you can. Remember that your application is being read by prospective employers, so you’ll need to communicate clearly to them.

Business analytics personal statement

A statement of intention for USC business analytics is the fundamental document that is included in the business intelligence package. The structure of the document serves as an invitation for users to participate and submit their qualitative data to the analytics team. Data submitted are based on a variety of different factors, which range from overall business performance to specific customer attributes. Data obtained are used to form analytical reports which are then used to support strategic decisions.

• Several samples for this purpose have been created by a group of experts, who have worked together over many years to create the statement of intent for USC business analytics. The first data set for the statement of intention contained thousands of business and organizational attributes. This resulted in a massive quantity of qualitative data which was then processed into usable reports. More recent samples have focused on aspects such as diversity across cultures and skillsets. The breadth of the data and the quality of the analytical work done have both contributed to the recent success of the statement of intent.
• Another example of a statement of intent for USC business intelligence is the Usability Studies for US National Security which is an initiative developed by the Intelligence Studies Institute. The project was developed to support the National Data Entry Request for Data Management requirements and support the US Department of Defense and other national security agencies within their requirement process. The project involved the compilation of usability data for over one hundred thousand different users across all departments, all of which had different departments and different levels of involvement. Data for this project have been processed and submitted to the Intelligence Studies team for analysis.
• To support their business intelligence needs, some sample statements for the US National Security Agency (NSA) have been developed. The NSA is an extremely secretive and powerful national security agency. Its capabilities in foreign affairs and intelligence collection make it necessary that its human resources, analytic capability, and technical abilities are kept at the highest level of competence. A sample statement for the NSA might be “We develop and utilize analytical and research tools to maximize our collective understanding of foreign matters”.
• Business analytics personal statement examples may also look at a company’s IT function. These professionals are responsible for defending the information and systems of the company’s internal network. Some of the skills that might be required may be information security, computer networks, and data management. Companies that have a strong division of IT personnel may be more successful when recruiting the right person to serve as a business analyst. The statements from the Department of Defense and the Intelligence Studies teams at USC are a good starting point for selecting someone who will fit into the business intelligence role.

Some sample statements from business analysts can be considered the most common of these examples, although there are many others available as well. The US Department of Defense’s statement for its Human Resources Management team reads “The mission of the Human Resources Management element of the Department is to recruit, select, and promote individuals best suited to fill critical Human Resources positions in the Department and to train and retain the nation’s best Computer Systems Analysts.” The Intelligence Studies team at USC states “SCAs are experts in collecting and interpreting data using a wide range of techniques.” If you are writing a business case based on one of these examples, you should consult a computer science degree program or a graduate school before completing your write-up.

One Reply to “Business Analytics Personal Statement Examples”

I AM APPLYING TO STUDY BUSINESS ANALYTICS IN A UK UNIVERSITY AND I AM TRYING TO WRITE A PERSONAL STATEMENT FOR THE ADMISSION. I HAVE A BACGROUND IN BUSINESS INFORMATION SYSTEMS AND INTERNATIONAL BUSINESS PLEASE HOW CAN YOU HELP.

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Crafting a Winning Business Analyst Personal Statement in 2023

Dirghayu Kaushik

In the competitive world of business analysis, a well-crafted personal statement can be your ticket to landing that dream job as a professional business analyst.

Whether you’re an experienced senior business analyst or just starting in the field, a strong personal statement is essential to set you apart from other applicants.

In this comprehensive guide, we’ll explore the key components of a business analyst’s personal statement and provide you with valuable insights and templates to help you create an outstanding one.

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The Importance of a Business Analyst’s Personal Statement

Your personal statement is not just another piece of your job application; it’s a powerful tool that can significantly impact your career. Here’s why it’s so important:

1. First Impressions Matter

Your personal statement is often the first thing recruiters and hiring managers read. It’s your chance to make a strong initial impression and pique their interest in your application.

2. Highlight Your Qualifications

In a competitive job market, it’s crucial to showcase your qualifications effectively. Your personal statement allows you to concisely highlight your education, skills, and relevant experience.

3. Demonstrate Your Fit

Employers want to know if you’re a good fit for their organization. A well-crafted personal statement can show how your career goals align with the company’s mission and values.

4. Showcase Your Unique Value

Your personal statement is an opportunity to stand out from the crowd. It allows you to demonstrate your unique skills, accomplishments, and what sets you apart from other candidates.

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• How to Write a Business Analyst Personal Statement

Crafting an effective business analyst personal statement is a skill that can greatly enhance your chances of securing your desired role in the field. This section provides a comprehensive guide on how to create a compelling personal statement that captures the attention of hiring managers and showcases your qualifications effectively.

Step 1: Understand the Purpose

Before you start writing your personal statement, it’s essential to understand its purpose. The personal statement serves as your introduction to potential employers, giving them insight into your qualifications, experiences, and motivations. It’s an opportunity to present yourself as the ideal candidate for the business analyst position and make a strong first impression.

Step 2: Gather Information

Begin by gathering all the necessary information you’ll need to include in your personal statement. This may include:

• Your educational background, including degrees and certifications.
• Your work experience, especially roles related to business analysis.
• Specific skills and competencies relevant to the job.
• Your career goals and how they align with the position you’re applying for.
• Any unique achievements, projects, or awards that demonstrate your capabilities.

Step 3: Choose the Right Structure

A well-structured personal statement is essential for clarity and readability. Consider using the following structure as a guideline:

Introduction

Start with a concise and engaging introduction. Mention your name, express your interest in the business analyst position, and provide a brief overview of what the reader can expect from your personal statement.

Qualifications

In this section, highlight your academic qualifications, relevant degrees, and any certifications that make you a qualified business analyst. Keep it concise but informative.

Discuss your professional experience, focusing on roles and responsibilities that relate to business analysis. Provide concrete examples of projects you’ve worked on and the impact you’ve had on business processes. Use quantifiable achievements to demonstrate your effectiveness.

Detail the specific skills that make you a proficient business analyst. Include both technical skills like data analysis, software proficiency, and any methodologies you’re familiar with, as well as soft skills such as communication, teamwork, and problem-solving.

Career Goals

Share your long-term career goals and how the business analyst role fits into your professional aspirations. Explain why you’re passionate about business analysis and how this position aligns with your journey.

Call to Action

Wrap up your personal statement by expressing your enthusiasm for the role and your eagerness to discuss your qualifications further. Invite the hiring manager to contact you for an interview.

Step 4: Tailor it to the Job

Customization is key to a successful personal statement. Analyze the job description thoroughly and tailor your statement to match the specific requirements and qualifications mentioned in the job posting. This demonstrates your genuine interest and suitability for the position.

Step 5: Highlight Achievements and Impact

To make your personal statement stand out, focus on highlighting your achievements and the positive impact you’ve had in your previous roles. Use specific examples to showcase how your contributions benefited your past employers.

Step 6: Showcase Soft Skills

While technical skills are crucial for a business analyst, don’t underestimate the importance of soft skills. Effective communication, adaptability, and problem-solving abilities are highly valued in this profession. Mention these skills and provide evidence of how you’ve used them in your career.

Step 7: Edit and Proofread

After writing your personal statement, carefully review it for clarity, conciseness, and grammar. Typos and errors can detract from your professionalism, so take the time to proofread or consider asking a trusted colleague or friend to review it for you.

Step 8: Maintain Professionalism

Throughout your personal statement, maintain a professional tone and style. Avoid using overly casual language or sharing personal information that is not relevant to the job.

Step 9: Be Concise

While it’s important to include relevant details, strive to be concise. Keep your personal statement focused and on point. Aim for clarity and readability, as hiring managers often have limited time to review applications.

Step 10: Seek Feedback

Before finalizing your personal statement, seek feedback from peers, mentors, or career advisors. Constructive feedback can help you refine your statement and make it even more impactful.

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• Crafting a Business Analyst Personal Statement: In-Depth Tips

Now that we’ve covered the basics, let’s delve deeper into each section of your personal statement.

Your introduction is your chance to grab the reader’s attention and make a memorable first impression. Consider starting with a compelling anecdote related to your passion for business analysis or a brief statement that highlights your enthusiasm for the role. Keep it concise but impactful.

In this section, provide a snapshot of your educational background and relevant certifications. Mention your degree in business or a related field, any additional qualifications like certifications in data analysis or project management, and any academic honors or awards. Be sure to emphasize how these qualifications make you a strong candidate for the business analyst position.

Your experience section is where you can shine by showcasing your practical knowledge and accomplishments. Use the following tips to craft this part effectively:

• Relevant Roles : Highlight roles and positions that directly relate to business analysis. Provide job titles, the names of previous employers, and the duration of your employment.
• Project Descriptions : Describe specific projects you’ve worked on, their objectives, and your role in them. Discuss how your contributions impacted the success of the projects and the organizations involved.
• Quantify Achievements : Whenever possible, quantify your achievements. For example, mention how you improved business processes, increased efficiency, or saved the company money through your analytical skills.
• Transferable Skills : Mention any transferable skills gained from previous roles that are applicable to business analysis, such as problem-solving, critical thinking, or leadership.

In this section, focus on your core skills as a business analyst. Mention technical skills related to data analysis, software tools you’re proficient in, and any specific methodologies you’re experienced with, such as Agile or Six Sigma. Additionally, highlight your soft skills, including communication, teamwork, and adaptability, as these are vital for success in the field.

Express your career aspirations and how the business analyst role fits into your long-term plans. Explain why you’re passionate about business analysis and how this position aligns with your professional growth. Mention any specific industries or types of projects you’re interested in working on in the future.

Wrap up your personal statement by reiterating your enthusiasm for the business analyst role and your eagerness to discuss your qualifications further. Encourage the hiring manager to reach out to you for an interview. This shows confidence and proactive engagement.

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• Going the Extra Mile: Additional Tips

To make your personal statement truly exceptional, consider these advanced strategies:

Addressing Challenges

If you’ve faced and overcome challenges in your career, briefly mention them in your personal statement. Discuss how these experiences have made you a stronger and more resilient business analyst.

Industry Knowledge

Demonstrate your deep understanding of the industry by mentioning trends, emerging technologies, or relevant industry news. This shows that you’re not only a skilled analyst but also a well-informed professional.

Tailoring for Different Roles

If you’re applying for various business analyst positions, create different versions of your personal statement to match each role’s specific requirements. This level of customization can make a significant impact.

Highlighting Leadership

If you’ve taken on leadership roles in your previous positions, emphasize your ability to lead teams, manage projects, and make critical decisions.

Data Science and Analytics

Given the growing importance of data science and analytics in business analysis, consider discussing your data-related skills and how they contribute to your effectiveness as a business analyst.

Addressing Soft Skills

In addition to technical skills, emphasize soft skills such as empathy, adaptability, and problem-solving. These qualities are increasingly valued in the business analysis profession.

Creating a standout business analyst personal statement is a crucial step in securing your dream job in 2023. Remember that your personal statement should reflect your unique qualifications, experiences, and passion for the field.

Use the templates and advanced tips provided in this guide to craft a personal statement that not only meets the standard expectations but also goes above and beyond, setting you apart as an exceptional candidate in the competitive world of business analysis. Best of luck with your job applications!

• Frequently Asked Questions (FAQs)

How can I ensure my personal statement is concise yet impactful?

To strike the right balance, focus on conveying essential information concisely. Use specific examples and avoid unnecessary details. A well-structured personal statement should be able to make an impact without excessive length.

Can I include references or recommendations in my personal statement?

References and recommendations are typically provided in a separate document when requested by the employer. Your personal statement should focus on your qualifications and experiences.

Should I include personal hobbies or interests in my personal statement?

While it’s generally not necessary to include personal hobbies or interests unless they directly relate to the job or demonstrate relevant skills, it’s always a good idea to research the company culture. Some organizations may appreciate personal touches in your application, while others prefer a strictly professional approach.

How should I handle employment gaps in my personal statement?

If you have employment gaps, it’s best to address them honestly and positively in your personal statement. Briefly explain the reason for the gap (e.g., further education, family reasons, or personal projects) and highlight any skills or knowledge you gained during that time.

Is it appropriate to mention salary expectations in the personal statement?

Salary expectations are typically discussed later in the hiring process, such as during interviews or negotiations. Your personal statement should focus on your qualifications and fit for the role, rather than compensation.

• The Importance of a Business Analyst's Personal Statement

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Table of Contents

• • The Importance of a Business Analyst's Personal Statement
• • How to Write a Business Analyst Personal Statement
• • Crafting a Business Analyst Personal Statement: In-Depth Tips
• • Going the Extra Mile: Additional Tips
• • Conclusion
• • Frequently Asked Questions (FAQs)

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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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Guide to Writing Data Science Personal Statements

Table of Contents

A  data science personal statement  is an integral part of the application process for aspiring data scientists. It provides recruiters and admissions board representatives insight into a candidate’s motivations, skills, and abilities related to their chosen field of study. 

The statement should demonstrate a clear understanding of the concepts and practices that make up the data science discipline. It showcases an applicant’s technical aptitude and professional experience. A successful personal statement will convey passion for the profession through emotionally resonant language and examples. 

Personal statements are everyday encounters in job applications as well as applications to special programs and postgraduate studies.

While personal statements and resumes both demonstrate an applicant’s qualifications, the former does so in paragraph form. This is crucial because it allows applicants a reasonable degree of creativity to create vivid depictions and powerful messages.

This allows them to not only create a good impression on readers but also to evoke emotions.

The Importance of a Personal Statement

The primary function of a personal statement is to give insight into the type of person you are. It provides recruiters and admissions board officers a glimpse into your qualifications . 

The actual value of a personal statement lies in its exposition. While resumes and summaries give readers the information they need pertaining to your qualifications, personal statements have a more intimate feel.

They read like stories. They take readers on a journey that helps them fully appreciate an applicant’s skills, experience, and character. Personal statements are particularly beneficial because they encourage recruiters and admissions board members to see candidates as more than just their qualifications. They are a way to show evaluators the person behind the application.

But, as good as all these sound, you can reap these benefits only through a compelling personal statement. If you’re unsure of how to write your data science personal statement, heed the following tips.

Tips for Writing a Data Science Personal Statement

Highlight Your Most Relevant Experience

Demonstrate your skills and accomplishments in data science by including concrete examples. Include experiences such as projects you have worked on or organizations/industries in which you have experience. Doing so will help to demonstrate that you possess the necessary qualifications for a successful career in data science. 

Showcase Personal Passion

Showcasing your passion for data science. You can do this by highlighting the personal challenges, successes, and motivations which led to your interest in the field. Explain what inspired you and how this has driven you to pursue further education and, ultimately, a career in data science. 

Be Specific

Make sure that when describing both experiences and achievements, they are as specific as possible.

Doing so will allow an admissions panel to better understand the nature of your work and its relevance to data science. Providing evidence to support statements (e.g., screenshots, code snippets, sample analyses) is also beneficial. 

Use Clear Language

Being clear and concise is essential when writing about complex topics like data science.

Aim to use language which conveys your points without overcomplicating them with jargon or technical terms. This will make it easier for an admissions panel to understand your application, increasing the chances of being accepted onto their program. 

Leverage Emotional Writing

The tone of your statement should reflect a human quality, using emotions and speaking authentically about why data science excites you. If appropriate, include colloquial language throughout; while ensuring it does not detract from the overall clarity of your essay.

Data Science Personal Statement Example

I have been deeply invested in the burgeoning field of data science for almost a decade. My expertise has allowed me to explore its nuances and applications with avid enthusiasm. I utilized my specialized knowledge to contribute significantly to many successful projects. As a result, I have accrued an immense portfolio of experience. My experience ranges from predictive analytics to natural language processing. This sets me apart as a leader in a rapidly-evolving industry.

From analyzing complex datasets to constructing scalable machine learning systems, my tenaciousness drives me to continually seek out dynamic challenges. Although I am thoroughly versed in all theoretical aspects of data science, I thrive on uncovering new possibilities through experimentation and creative problem-solving. I pride myself on being able to translate technical jargon into actionable solutions. 

A personal statement is a short paragraph that outlines a candidate’s skills, experiences, and motivation . It is an essential document because it allows applicants to connect with readers and establish a good impression. Remember our simple tips. While they won’t make you an expert overnight, they will help you cement good writing habits that will serve you well in the future.

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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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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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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SOP for Business Analytics

• Updated on  
• May 9, 2023

A Statement of Purpose, as the name suggests, is your identity statement. Your academic qualifications, professional interests, plans, achievements, and what influenced your career so far, form an essential part of an SOP . This is the reason why it forms an integral part of the application package along with other documents like transcripts , letters of recommendation [ LOR ], resumes, etc as it becomes the basis for the universities to select or reject a candidate. For almost every course to study abroad , you will have to send an SOP along with other documents to your choice of universities. Here, in this blog, we will take a closer look at what an SOP for Business Analytics should look like. 

This Blog Includes:

What is a statement of purpose for business analytics , tips for writing an sop for business analytics , 10 details to remember, how to write an sop for business analytics, structure of sop for business analytics, what not to include in an sop for business analytics, skills to be included in the sop for business analytics, sample sop for business analytics, sop for ms in business analytics with work experience, mit sloan school of management, usa, texas mccombs school of business, usa, hec montreal, canada , mcgill desautels faculty of management, canada.

The business analytics statement of purpose is a two-page essay with 800-1500 words that describes your personality traits, career goals, pertinent skills, etc. With a 12-point font size, a black font colour, and double spacing in the margin, it has clean paragraphs. The SOP does not need to include your name or course information. try not to use bold, italics, and underlined fonts, unless it is very important.

The statement of purpose for business analytics is the paper that outlines why you are applying to a specific programme or college. It is the decision-maker content, which includes information about your interests, ambitions, and aspirations in addition to your academic and professional experience. The SOP is significant to the university’s admissions office since it justifies your goals of studying abroad.

Before writing an SOP for Business Analytics you should brainstorm all the possible ideas. This is the only opportunity for you to show the admission committee who you are outside of your academic performance. Storytelling is becoming an important part of various industries. You could use this as a part of your SOP for Business Analytics. Enlisted are some points you could follow to build an interesting SOP for Business Analytics:

• Start by mentioning what you want to study at the University. Be specific about your choice and include all the possible factors for pursuing that particular course.
• Why do you want to pursue that degree specifically? This could be your opportunity to explain why you are choosing that course at the University or how the work of some of the faculty members inspires you to pursue that program.
• Detail the work experience you have in that particular field. What did you learn and what inspired you to pursue higher education in that particular field should be mentioned clearly.
• Talk about college. Why do you want to get admission there specifically or certain details about the faculty members, global partnerships, etc? Explain how can you contribute to that university and what skills of yours can complement the requirements of their desired candidates.
• Bring your personality traits into the SOP for Business Analytics. Discuss your hobbies, your interests, and your habits but make sure to keep it relevant to the overall point you’re trying to make. 

Writing SOP for business analytics requires a few considerations in order to be efficient. These suggestions will help you understand the intricacies to pay attention to when writing a sop for a business analytics course.

• The information and details provided in the SOP for business analytics must be trustworthy.
• Try to provide all of the necessary information within the word limit.
• Exaggerating about the University or the course is not permitted.
• The article must end on a good, encouraging note.
• Make sure to include all of your academic information, technical talents, athletic activities, and so on.
• Please explain why you want to take the business analytics course.
• Explain how the business analytics course will help you advance in your job.
• Check the document for originality before finalising your SOP for business analytics.
• Your essay must be written in an innovative manner and contain significant content.
• Stick to the usual SOP format and include legible content.

Now that you are familiar with some important tips and tricks to follow while drafting an SOP, let us look at some points that are crucial whilst writing an SOP. Framing and SOP keeping in mind the below-mentioned aspects will help you convey the best blend of academic journey as well as future aspirations. Here are the points to refer-

• Your determination towards your goal and career.
• Research skills
• Analytical skills describe your ability to learn things and your attention to detail.
• Ability to work in a team as well as individually.
• Try to think outside the box as creative thinking can set you apart from others. But make sure you mention relevant things that can help your application stand out. 
• Mention your school and college achievements. Go over the course and be very specific about why you want to pursue it while incorporating your work experience and explaining your work profile.
• After stating your prior achievements and journey, do not forget to mention how your past experiences have helped you realise your passion for the Business world.
• Write down any programming and analytical skills that add value to business planning. You can also speak about your previous projects related to Business Analytics.
• SOP for Business Analytics should not be too formal. Your application will benefit from being interesting to read. The admission committees analyze all the determinants of personality.
• The most important part of writing an SOP for Business Analytics is to be yourself, no matter what. Describe your abilities, your strengths and weakness es. You should be honest in presenting yourself so do not mention things that have not happened to you. Be real and trust that the admissions committee will see you for who you are.

Finally, after figuring out the general nature of writing an SOP for Business Analytics, start writing in such a way that they can get a view of your career step by step. The SOP for Business Analytics should reflect the course and it is a good idea to write it from a business point of view.

The form of the SOP for Business analytics should be appealing. You must begin with an introduction and then move on to the supporting content. While writing the SOP for business analytics, it is critical to keep the word count in mind. We have briefly explained the format of the SOP for the business analytics course for your convenience.

• Introduction: Start your SOP with a quote or phrase which you passionately believe or follow. The readers will gain insight into your personality as a result of this.
• First paragraph : Explain why you choose the university and programme in this paragraph. You can back up your claim with a personal incident or experience that influenced your line of study.
• Second paragraph: In this paragraph, you will discuss the university. You will also explain how the business analytics course will assist you advance your profession.
• Third paragraph: Use this paragraph to outline your short-term and long-term objectives. Your goals, as well as your motivation factor, can be described here.
• Fourth paragraph: You will discuss your technical and soft skills needed for the business analytics course. You can also include information about your extracurricular activities and hobbies here.
• Concluding paragraph: This is a crucial component because you will be summarising your overall SOP for business analytics here. You must take particular attention while writing this section because you will be discussing your career aspirations and future goals.
• Do not exaggerate your strengths/weaknesses/abilities.
• SOP for Business Analytics should be crisp, clear, and concise.
• Do not forget to mention your weaknesses, the hurdles you faced during your job, and how you solved them.
• Going beyond the word limit should be avoided.
• Do not mention your family history, financial details, and all of your achievements.

You must showcase your talents in the SOP with pertinent supporting facts to grab the admissions committee’s attention right away. The following are a few of the abilities that might be mentioned in the SOP for business analytics:

• Logical thinking
• Decision making 
• Visualization
• Strategic planning
• Business intelligence
• Detail oriented and big-picture thinker
• Programming languages
• Statistical software

As a Business Administration graduate with a specialization in the field of Marketing , I have always been inclined towards how the rapidly globalized world has created immense opportunities for small and big businesses to expand and flourish. With the twenty-first century set in the zenith of social media and digital convergence, the new-age marketing arena has always enticed me and fuelled my curiosity towards how business analytics and marketing can come together to help every enterprise. 

Throughout my graduate studies, I have participated in activities and clubs that collaborated with local businesses which have helped me learn the ropes of marketing at an early stage. I have endeavoured to strengthen my foundation and reap experience in multiple domains of the business world. With the development and changes in the business sector, understanding consumer behaviours and patterns have become essential to increase your production and sales. 

Working in multiple creative industries like business management and marketing management has added to my understanding of the dynamics of the broader perspectives of society. I have also been influenced deeply by art and culture which have inclined me towards subjects like history, psychology , and modern science. These interests have greatly enlightened me to analyze and study the unique styles of communication, how people’s needs evolve with time, and most importantly; how they respond to these needs. This made me believe that the Business sector is not about basic finances and marketing but also about analytical thinking and a creative approach. Fortunately, the University of ____ offers a specialised Business Analytics program that can help me attain knowledge with a perfect blend of business and the necessary skills. 

In today’s globalized world of media and communication, it is essential to develop skills that allow one to pick from a plethora of techniques and utilize the latest technologies. Through the program at the University, I will also gain an international perspective of the world as it gets diverse with generations striving to unify and harmonize the complexities. Studying Business Analytics alongside international industries can reflect these trends to further equip my aspirations. 

This University can shape my personality and bestow the necessary skills that can facilitate my growth.  I sincerely focus on gaining more experience in Business Analytics with a holistic approach that is flexible and adaptable to shifts in society. I strongly believe in constant learning that will be fueled by my hunger for the vast knowledge the world possesses.

• SOP is just as important as transcripts and financial documents if you intend to enrol in a university in the USA , Canada, UK , etc. Thus, when writing your SOP for an MS in business analytics with work experience, you must keep a few things in mind. You can review your SOP using the points listed below.
• Clarify your professional background and experience. You are able to describe your employment responsibilities and accomplishments accomplished while working there. Ensure that you have creatively added all the business analytics courses necessary skills, courses, etc.
• Don’t be direct when expressing your strengths, weaknesses, doubts, etc. Describe your enthusiasm for the business analytics course and provide any necessary justification. Some life experiences like project success, etc. can be used.
• Your business analytics SOP shouldn’t be overly formal or casual. It must be written in an engaging style that will wow your audience.
• The most important thing to remember while developing an SOP for business analytics is to be authentic. The paper has to highlight who you are and your qualifications for employment. Try to keep your content to the most crucial abilities or experiences. It could become too much if unnecessary information is crammed into the space. The selection committee might become disinterested in your content as a result.

SOP for Business Analytics for Top Universities

Here are the SOP for Business Analytics for the top business schools around the world:

• The SOP must not exceed two pages and 500–1000 words in length
• Describe what makes the university special and what drew you to MIT Sloan School of Management to further your study.
• Give a succinct description of the projects and undergraduate studies.
• Describe your long-term objectives and the steps you’re taking to get there.
• Mention your training and courses that are related to the course.
• The content must be original and free of common grammatical mistakes.
• A business analytics SOP must be between one and two pages long.
• Reliable facts must be presented in a creative manner with the content.
• Your professional background and the projects you worked on while employed must be disclosed to the admissions committee of Texas McCombs School of Business in your SOP.
• The course must be central to the material. The team might not be impressed by irrelevant content.
• You can explain any gaps here if they are not addressed in your resume or curriculum vitae.
• Mention your technical skills and soft skills that are relevant to your course.
• The tone of the SOP material must be encouraging. You must give a short and clear explanation of the life experience that influenced your decision to enrol in the course.
• The SOP must not exceed 800 to 1200 words in length.
• The information provided in the SOP must be accurate. You must be able to provide documentation to back up your claims.
• Talk about the driving force behind your decision to attend HEC Montreal .
• Include details about your passion, abilities, and expertise that you can bring to the organisation.
• Discuss the distinctive qualities of the university and how they will benefit your career.
• Your individuality and character must be shown in your business analytics SOP for the university board.
• Include information in the SOP about your extracurricular activities, sports hobbies, technical courses you’ve taken, etc.
• You must include a separate PDF document in your upload that responds to the following questions: Why did you pick this course? How will McGill Desautels Faculty of Management, Canada help you reach your professional goals?
• Discuss your efforts and experiences that prepared you for the course with the necessary experience.
• Draw attention to all of your special abilities and talents that will help you succeed in the course.
• The SOP can only be up to 1000 words long.

Ans. Tips for Writing an SOP for Business Analytics Start by mentioning what you want to study at the University. Why do you want to pursue that degree specifically? Detail the work experience you have in that particular field. Talk about college. Bring your personality traits into the SOP for Business Analytics.

Ans. In business analytics, the SOP should be 1-2 pages long. The content must be written in an innovative manner and based on credible data. The SOP must inform the admissions committee about your professional background and the projects you have worked on. The course must be central to the material.

Ans. I am a great candidate for the Business Analytics programme because of my strong academic record, as I graduated with honours in Electrical Engineering. My undergraduate studies provided me with considerable quantitative understanding and technical experience in a variety of engineering topics.

If you are looking for a course abroad and are confused about the admission process, we, at Leverage Edu can help your application stand out among others. We can provide the best guidance and support to make sure you get the right course at the right university. Get in touch with us at 1800-57-2000 and start living your dream today.

Digvijay Singh

Having 2+ years of experience in educational content writing, withholding a Bachelor's in Physical Education and Sports Science and a strong interest in writing educational content for students enrolled in domestic and foreign study abroad programmes. I believe in offering a distinct viewpoint to the table, to help students deal with the complexities of both domestic and foreign educational systems. Through engaging storytelling and insightful analysis, I aim to inspire my readers to embark on their educational journeys, whether abroad or at home, and to make the most of every learning opportunity that comes their way.

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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!

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Msc data science personal statement example.

In the recent decade, the function of machine-generated intelligence in supplementing judgments has been more visible. It is reasonable to expect that in a few years, humans' role in decision-making processes will be limited to selecting the best possibilities from a collection of outputs supplied by computers. Machines are significantly more effective than human intelligence since the advent of Data Science. This is especially true when it comes to detecting trends, identifying patterns, and making predictions from large datasets. However, for such accomplishments, computers require the assistance of professional data scientists. I believe that pursuing the MS in Data Science from your respected university will enable me to pursue a rewarding career as a data scientist.

I graduated from the University of Ilorin's Department of Electrical and Electronics Engineering. The course provided me with a strong foundation in programming, web technologies, data structures, and DBM systems. Motivated by my desire to learn, I have attempted to dabble in a wide range of relevant topics that were not covered in the curriculum. The majority of these investigations were conducted via online courses from reputable colleges. Data Science, Machine Learning, and Blockchains are just a few of the topics I've mastered this way. Although such classes were limited to the fundamentals, the variety has assisted me in connecting the dots between diverse technologies.

My academic goals, on the other hand, have not prevented me from participating in a wide range of extracurricular activities. I was a member of the Phos Foundation where I was in charge of supporting in organizing charity programs and helping to solicit funds from notable people in the society. I watch movies a lot as it is one of my ways of relieving stress. My goal is to become a powerful data scientist and work as a researcher analyzing large data sets and creating models to further predict and explain their effects on the globe.

To get a comprehensive understanding of all the fields and divisions of technology that encompass data science, I have chosen to pursue a master's degree in data science. I'm confident that attending your university will provide me with the chance to pursue greatness and acquire the knowledge and skills necessary for a fruitful career in data science. As a result, I think learning more about data science will be useful because it is the future. With the information I will acquire from my master's degree, I hope to undertake insightful studies on huge data sets

My knowledge base has been widened by my prior education and work experience, which have given me a comprehensive understanding of the many fundamental fields that make up data science. Throughout my graduate and doctorate studies, I hope to delve further into this subject and uncover all of its possibilities. I had the good fortune to meet amazing individuals, build a solid network, and acquire some priceless analytics-related expertise during my education and professional career. I still have that childlike curiosity and want to advance, which for me would be to enrol in a Master's degree.

I think I still have a great deal to discover about this subject and a long way to go before I can accomplish my objectives. I am certain that the Data Science program at University of Sussex will help me increase my knowledge and hone my abilities so that I may fulfil my lifelong goal of becoming a powerful data scientist. The excellent academic staff and program at the university will give me exposure to and training in my area of interest, which will help me grow my career in the right direction. I thus ask for the chance to pursue a master's degree in the area of study of my choice since I would benefit from the university.

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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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• Campus Life
• B.S.B.A. Programs
• Business Analytics

Business Administration, B.S. – Business Analytics

Gain expertise in the data analytics that employers need to effectively use new technologies including big data, decision automation, machine learning, and artificial intelligence.

• 120 Credits »
• Semester Map »
• Tuition & Financial Aid »

Accelerated Master's

• B.S.B.A. to M.B.A. or M.S. in Risk Management »
• New York, NY »
• Long Island, NY »

What You’ll Learn

The Business Administration, B.S. program with a concentration in Business Analytics gives you the in-demand skills and tools you'll use to solve real-world business problems and to increase organizational productivity, efficiency, and revenue. You'll learn from a range of real-world case studies to appreciate how these skills and tools can be leveraged to achieve success in measuring key metrics, forming inferences and predictions from data, and making optimal and robust business decisions.

These courses in this concentration include a wide array of topics, such as data cleaning, data visualization, data mining, database management, web analytics, text mining, and social media analytics. In addition to learning Python programming languages, the students will also learn to work with business analytics tools such as SQL, Tableau, Google Analytics, and more.

What makes our program special?

• AACSB accreditation, earned by only five percent of business schools worldwide.
• A centralized location in New York City, home of significant demand for graduates in this field.
• A strong research-oriented business analytics faculty offering unique insights on analytics.
• New York Tech's strong network of over 100,000 alumni, including leaders in all industries.
• Progressive curriculum development ensures our program remains contemporary and competitive.
• Our Career Building Platform (CBP) extends learning beyond the classroom to give you the professional and personal skills you'll need to succeed.

Thinking about transferring to New York Tech ? Take advantage of our rolling admissions and generous transfer credit acceptance policy and begin taking upper-level business courses right away!

Grad School/Employers

• Bank of America
• Goldman Sachs
• JPMorgan Chase

Career Options

• Budget Analyst
• Business Analytics Manager
• Compensation and Job Analyst
• Database Administrator
• Information Security Analyst
• Logistician
• Management Analyst
• Market Research Analyst

“New York Tech gave me a strong understanding of accounting. Any CFO needs to know how to read financial statements.You must be able to balance the accounting and finance sides of the job.”

Bill Zerella (B.S. ’78)

Exceptional experiences. Outstanding outcomes.

In New York State for the economic value of a New York Tech M.B.A. (Georgetown University Center on Education and the Workforce, 2022)

In New York State for inclusion, diversity, and international student representation. (2022 Wall Street Journal/Times Higher Education College Rankings)

Average financial aid award for undergraduate students at our New York campuses.

$ 119 ,0 40

Mean annual wage for data scientists, May 2023. (Georgetown University Center on Education and the Workforce)

How You’ll Succeed

The demand for analytics graduates in the job market is expected to grow considerably in the near future. Across the globe, organizations are heavily investing in analytics to capture insight from a large amount of data generated daily. Employers now realize that they need to hire people who have technical expertise in data analytics and who understand the implications of the analysis, to help organizations make intelligent business decisions.

Upon completion of your B.S. degree, you'll be able to:

• Conduct research, collect data, and analyze it using appropriate tools.
• Develop appropriate models using analytics algorithms to solve business problems and provide insights.
• Integrate functional disciplines together to effect sound policymaking and business planning.
• Take on responsibilities in data analyses, visualization, future prediction, and decision-making.

For those interested in even greater career preparation, the B.S. with Accelerated M.S. or M.B.A. Options (4+1) program offers you the opportunity to earn your B.S. and either an M.B.A. or an M.S. in Risk Management in just five years.

The School of Management's Bachelor of Science programs are accredited by AACSB International (The Association to Advance Collegiate Schools of Business).

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