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Nanyang Technological University

Nanyang Technological University (NTU) is a research-intensive university with globally acknowledged strengths in science and engineering. The university has roots that go back to 1955 when Nanyang University was set up. Today, NTU has four colleges with 12 schools, and four autonomous entities, the National Institute of Education, the S Rajaratnam School of International Studies, Earth Observatory of Singapore, and the Singapore Centre on Environmental Life Sciences Engineering. NTU provides a high-quality global education to 33,000 undergraduate and postgraduate students. The student body includes top scholars and international olympiad medallists from the region and beyond. Hailing from more than 90 countries, the university's 3,300-strong teaching and research staff bring dynamic international perspectives and years of solid industry experience.

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• BSc (Hons) Mathematics with Data Science

Mathematics with Data Science BSc (Hons)

• Level(s) of Study: Undergraduate
• Typical Offer: 112 - 120 UCAS tariff points
• UCAS Code(s): G120 (full-time); G121 (sandwich)
• Start Date(s): September 2025
• Duration: Three years full-time / four years with placement
• Study Mode(s): Full-time / Sandwich
• Campus: Clifton Campus

Find us on:

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Introduction:

Welcome to the world where mathematics meets the cutting-edge of data science and computer programming. This course gives you the essential knowledge and skills demanded by today's rapidly evolving industries. You’ll be learning from an award-winning teaching team dedicated to your success, consistently winning teaching awards.

As you progress, you'll have the flexibility to specialise with a range of optional modules and a final-year project in a subject of your choice.  Our technology focused teaching gives you the power to visualise and interrogate data in different ways through using graphics tablets, virtual reality, and 3D printing.

To address the shortages in the field of data science, as outlined by industry and the Government, this course gives you skills which are in high demand. With a solid mathematical foundation, you not only learn the tools and techniques needed, but also understand their application, setting you apart in the competitive job market. Focusing on real-world applications of mathematics and data science will sharpen your analytical, investigative and problem-solving skills.

As this course shares common modules in your first year you can transfer MMath (Hons) Mathematics , BSc (Hons) Mathematics , or BSc (Hons) Mathematics with Statistics.

Research scholarships

Every year we offer a small number of Mathematics Undergraduate Research Scholarships (MURS), giving successful applicants funding for a six-to-eight-week placement in one of our research teams. This is an excellent opportunity for you to further your research interests and contribute to the academic activities of the mathematics department.

More student opportunities

Our active student-run Mathematics society allows you to be part of a vibrant community with peer support, team learning, and mentorship. You’ll also have the opportunity to participate in regular events hosted on campus by the local branch of the Institute of Mathematics and its Applications.

What you’ll study

Study the core strands of Linear Algebra, Probability and Statistics, Discrete Mathematics, Artificial Intelligence, and Database Engineering. These foundations provide you with a robust understanding of mathematics, essential for handling and interpreting complex data.

• Optional placement year

Foundations of Pure Mathematics (20 credit points)

First you’ll be introduced to the world of rigorous mathematics, which is ruled by the laws of mathematical logic and is based on the concept of mathematical proof. Set theory will then be introduced and through looking at real-world examples, you’ll learn about the other important algebraic structures, such as notations, operations and groups.

Calculus (20 cp)

In this module you’ll study methods of differentiation and integration, from the fundamental principles, to integrating and differentiating complicated functions. Ordinary differential equations will be looked at and in combination with material you’ll learn how to solve these new types of equations.

Data Analysis (20 cp)

This gives you an introduction to important statistical ideas and their application using modern software. You will explore data analysis, probability, statistical inference and statistical modelling.

Introduction to Linear Algebra and Computation (20 cp)

Studying Linear Algebra gives you a great base knowledge you’ll use in many modules during your course. Concepts include complex numbers, vectors and matrices. Using mathematical software packages you’ll focus on computational and numerical methods that can be used to find approximate solutions to problems that cannot be solved analytically.

Investigations in Analysis (20 cp)

You’ll develop a range of skills appropriate to conducting open-ended mathematical investigations. Learn about the importance of rigour and techniques of proof in mathematical contexts.

Introduction to Discrete Mathematics and its Applications (20 cp)

You’ll start by learning how to program using Python before investigating discrete mathematics problems. Working in groups, you’ll discover potential solutions which you’ll use algorithms in Python to computerise your solutions.

Linear Algebra and its Applications (20 cp)

This module will build your conceptual and technical background, and, in particular, work on vector spaces will be extended and generalised to linear transformations. You will be introduced to coding theory by applying linear algebra to linear codes.

Probability and Statistical Inference (20 cp)

Refine your statistical inference and modelling knowledge and develop essential computational and IT skills.

Mathematical Enterprise (20 cp)

In this module you’ll work in small teams to develop a plan for a new business or enterprise, using your mathematical skills to showcase the viability of your venture. This module is run in conjunction with Nottingham's Creative Quarter and you’ll work with several local businesses to create business plans.

Cryptography and Computational Complexity (20 cp)

Learn how to select and apply appropriate techniques and use computer programming and specialist mathematical software to help solve problems. You’ll look at the need to develop more and more sophisticated ways of protecting information through cryptography. Analyse the hardness and limitations of mathematical algorithms using computational complexity theory.

Information and Database Engineering (20 cp)

Understand the nature and application of database management systems and acquire skills for database administration and management.

Foundations of Artificial Intelligence and Machine Learning (20 cp)

The rate at which data is being stored is growing at a phenomenal rate and many businesses are struggling to analyse and make sense of this vast collection of data. This module will introduce you to a number of ‘machine learning’ techniques to process and discover patterns in data.

Optional year-long work placement.  If you are not taking a placement, you will progress directly to your final year in year three.

Core Modules

Project and professional skills (40 cp).

Immerse yourself in a substantial mathematics project with dedicated support and supervision. The project will showcase your skills, knowledge, and problem-solving abilities. You’ll also take part in activities to explore your career options after graduation.

Optimisation (20 cp)

The optimisation is the art of optimal decision-making under constraints. This module introduces you to optimisation, focussing on the theoretical foundations of the subject, the practical modelling aspects, and the algorithm analysis and design.

Artificial Intelligence (20 cp)

Learn about the theoretical foundations of Artificial Intelligence (AI), the main methods and techniques and current areas of AI research and development.

Distributed Database Engineering (20 cp)

Study the processes, techniques and technologies that data scientists use to support the challenging workloads for data science.

Optional modules - choose one:

Experimental design and machine learning (20 cp).

In this module you’ll be introduced methods of experimental design and their application in industrial and commercial situations. You’ll learn the methodology and techniques to design, conduct and analyse an experiment before applying statistical analysis to your results.

Stochastic Processes (20 cp)

Extend your understanding of probabilistic modelling to include stochastic processes and learn advanced techniques for investigating the behaviour of stochastic processes.

Medical Statistics and Financial Modelling (20 cp)

You’ll study statistical techniques appropriate for medical and financial data, including the analysis of survival data and dealing with large complex datasets.

Graph Theory and Combinatorics (20 cp)

This module introduces research-informed topics in pure mathematics and aims to extend and complement ideas introduced earlier in your course. It provides a blend of mathematical concepts and techniques widely applicable in data science, operational research, chemistry, engineering, computer science, information technology, statistics, sociology and genetics.

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How you’re taught

You’ll take part in weekly in lectures, seminars, practical sessions, and workshops. The seminar groups are sessions where you’ll meet with your lecturer and small groups to discuss problems or work through challenging topics.

The rest of your time will be spent on independent studies, such as reading textbooks and lecture notes and working on exercises.

Learn a new language

Alongside your study you also have the opportunity to learn a new language. The University Language Programme (ULP) is available to all students and gives you the option of learning a totally new language or improving the skills you already have. Find out more about the ULP.

Staff Profiles

James hind - senior lecturer.

School of Science & Technology

Martin Nelson - Senior Lecturer

Timothy hetherington - principal lecturer, colin wilmott - senior lecturer, nadia chuzhanova - lecturer, jonathan crofts - senior lecturer.

Physics and Mathematics

How you’re assessed

We want you to graduate with a range of transferable skills. So, all our Mathematics modules have two or three assessment components that help you demonstrate your knowledge in various ways. As well as traditional exams and in-class tests, you’ll complete assignments and group projects and give presentations. In your final year, you’ll also complete your mathematics project with the support of your tutor.

Careers and employability

Your career development.

Acquire not only data science expertise but also become a sought-after specialist mathematician or statistician in diverse sectors. The course prepares you for a wide range of graduate employment or you can progress onto further studies such as a Masters degree or a PhD.

Our recent mathematics graduates have secured roles at companies including:

• Invictus Trust
• Next Retail Ltd

They have also started careers in:

• industrial and commercial mathematics
• statistical applications systems modelling
• software engineering
• telecommunications
• IT applications
• teaching and research.

They have gone into a wide variety of job roles, including:

• Junior Programmer
• Project Manager
• Graduate Mathematician
• Test Automation Engineer

What our students say

"The content we studied in my final year was vital in getting the job I have today. The course is very applicable when applying for positions outside of the university. If you're interested in Mathematics, I can't recommend this course enough.

"I also love Nottingham – it's a fantastic city, and I didn't have any questions about staying here when I graduated. When looking for jobs, my number one priority was staying in this city."

Duncan Bell, BSc (Hons) Mathematics - graduate Credit Scoring and Strategy Analyst

Excellent placement opportunities

Top 10 for the number of Mathematics students on year-long placements (HESA 2021/22)

NTU is one of the most employment-focused universities. Increasingly, employers want to recruit graduates who have real-world work experience. That’s why all of our courses, across every subject area, offer you a  work experience opportunity. Our experts help build and  support your future with various career programmes and events.

On this course, after your second year, you will have the opportunity to take a year's work placement (sandwich placement). This will give you a chance to gain vital experience and put your knowledge into practice. You're also twice as likely to secure a graduate job within six months if you take a work placement.

Our recent students have taken placements across various companies, including DeVere Group, Cooper Parry and Government Statistical Services. They secured varied roles such as Trainee Wealth Assistant, Assistant Bio-statistician and Auditing Assistant.

You'll be supported and assessed throughout your placement year and will write a reflective report and diary at the end of your placement. When you complete your placement, you will be eligible to receive an additional award of a Diploma in Professional Practice.

Find out more about  work placements .

Mathematics Undergraduate Researchers Studentship (MURS)

You will be able to apply for MURS Programme - a funded opportunity to collaborate with academic staff on cutting-edge research projects. It's a structured 6-8 weeks summer programme for second year full degree students, during which, you will meet weekly with your supervisor for mentorship and guidance. These sessions are tailored to your chosen project's needs and the supervisor's approach. It is an additional skill building opportunity that will equip you with essential skills to tackle active research problems and master the art of conducting mathematical research.

NTU Enterprise

You'll also have the opportunity to turn your ideas into a viable business with help from NTU Enterprise, NTU's purpose-built Centre for Entrepreneurship and Enterprise, a support centre to help students create, develop and grow their businesses.

Campus and facilities

Entry requirements.

• International
• Standard offer:   120 UCAS Tariff points from up to four qualifications including A-level or equivalent Maths grade C
• Contextual offer: 112 UCAS Tariff points from up to four qualifications including A-level or equivalent Maths grade C

Contextual offers

A lower offer may be made based on a range of factors, including your background (such as where you live and the school or college you attended), your experiences and individual circumstances (you may have been in care, for example). This is called a contextual offer and we get data from UCAS to make these decisions. NTU offers a student experience like no other and this approach helps us to find students who have the potential to succeed here but who may have faced barriers that make it more difficult to access university. Find out how we assess your application .

Other qualifications and experience

We may also consider credits achieved at other universities and your work/life experience through an assessment of prior learning. This may be for year one entry, or beyond the beginning of a course where applicable, for example, into year 2. Our  Recognition of Prior Learning and Credit Transfer Policy outlines the process and options available for this route.

Meeting our entry requirements

Hundreds of qualifications in the UK have UCAS tariff points attached to specific grades, including A levels, BTECs, T Levels and many more. You can use your grades and points from up to four different qualifications to meet our criteria. Enter your predicted or achieved grades into our tariff calculator to find out how many points your qualifications are worth.

Getting in touch

If you need more help or information, get in touch through our enquiry form

• 120 UCAS Tariff points from up to four qualifications, including A-level or equivalent Maths grade C

International qualifications

We accept qualifications from all over the world – check yours here:

• Entry requirements by country

English language entry requirements

You can meet our language requirements by successfully completing our pre-sessional English course for an agreed length of time, or by submitting the required grade in one of our accepted English language tests, such as IELTS:

• English language requirements
• Pre-sessional English for Academic Purposes (PEAP)

Undergraduate preparation courses (Foundation)

If you don’t yet meet our entry requirements, we offer Foundation courses through our partner Nottingham Trent International College (NTIC), based on our City Campus:

• Foundation courses leading to undergraduate study at NTU

Advanced standing (starting your undergraduate degree in year 2 or 3)

You may be able to start your undergraduate course in year 2 or 3 based on what you have studied before.  This decision would be made following our Recognition of Prior Learning and Credit Transfer Policy.

Would you like some advice on your study plans?

Our international teams are highly experienced in answering queries from students all over the world. We also have members of staff based in Vietnam, China, India and Nigeria and work with a worldwide network of education counsellors.

• Complete this simple form to keep in touch with the International Office.

Fees and funding

Preparing for the financial side of student life is important, but there’s no need to feel anxious and confused about it. We hope that our  fees and funding pages will answer all your questions.

Additional Costs

Your course fees cover the cost of studies and include loads of great benefits, such as the use of our library, support from our expert Employability team, and free use of the  IT equipment across our campuses .

Library books

Most study modules recommend one or more core textbooks, which most students purchase. Book costs vary, and further information is available in the University’s bookshop. Our libraries provide a good supply of essential textbooks, journals and materials (many of which you can access online) – meaning you may not need to purchase as many books as you think! There may also be a supply of second-hand books available for purchase from previous year students.

Field trips

All essential field trip costs will be included in your course fees. There may be the opportunity to participate in optional field trips, which incur additional costs.

If you're undertaking a placement year, you'll need to budget for accommodation and any travel costs you may incur whilst on placement. Many of our placement students earn a salary whilst on placement, which can help cover these living costs. Placement opportunities are available in the UK and overseas.

Print and copy costs

The University allocates an annual printing and copying allowance of £20 depending on the course you are studying. Students will also be required to pay additional costs for printing, poster preparation and final dissertation copies in their final year - estimated costs of approximately £20 - £50. For more details about costs for additional print and copying required over and above the annual allowance, please see the Printing, photocopying and scanning information on the Library website .

Students will require a basic scientific calculator for examinations (e.g. Casio 83 or 85 series, approximately £15).

For more advice and guidance, contact our Student Financial Support Service by telephone at  +44 (0)115 848 2494 .

Tuition fees

Tuition fees are payable for each year that you are at the University. The tuition fees for the second and subsequent years of your undergraduate course may increase in line with inflation and as specified by the UK government. See our fees.

Scholarships

We offer scholarships of up to 50% of your tuition fee. You can apply for your scholarship when offered to study at NTU.

• International Scholarships

Living costs

Get advice on the cost of living as an international student in Nottingham and how to budget:

• Managing your money

Paying fees

Find out about advanced payments, instalment plan options and how to make payments securely to the University:

• How and when to pay your fees

What do the course fees cover?

Most study modules recommend one or more core textbooks, which most students purchase. Book costs vary, and further information is available in the University’s bookshop. Our libraries provide a good supply of essential textbooks, journals and materials (many of which you can access online) – meaning you may not need to purchase as many books as you might think! There may also be a supply of second-hand books available to buy from previous year students.

How to apply

Ready to join us? Then apply as soon as you can. Just click the Apply button at the top of the page and follow the application instructions. Make sure you check the entry requirements above carefully before you do.

Writing your application and personal statement

Be honest, thorough and persuasive in your application. Remember, we can only make a decision based on what you tell us. So include all of your qualifications and grades, including resits or predicted grades.

Your personal statement is a really important part of your application. It’s your chance to convince us why we should offer you a place! You’ve got 4,000 characters to impress us. Make sure you use them to show how your skills and qualities are relevant to the course(s) you’re applying for. For more hints and tips, take a look at our page on how to write a good personal statement .

Keeping up-to-date

After applying, we’ll send you important emails throughout the application process, so check your emails regularly, including your junk mail folder.

You can get more information and advice about applying to NTU on our Your Application page. Good luck with your application!

You can apply for this course through UCAS . If you are not applying to any other UK universities, you can apply directly to us on our NTU applicant portal .

Application advice

Apply early so that you have enough time to prepare – processing times for Student visas can vary, for example.  After applying, we'll send you important emails throughout the application process, so check your emails regularly, including your junk mail folder.

• Follow our guide to the application process

Writing your personal statement

Be honest, thorough, and persuasive – we can only make a decision about your application based on what you tell us:

• Advice on writing an excellent personal statement

The University's commitment to delivering the educational services advertised .

More from Department of Physics and Mathematics

You may also be interested in:, mathematics with data science (with foundation year).

Find out about the modules and how you are taught on BSc (Hons) Mathematics with Data Science (with foundation year). This course is taught at Nottingham Trent University's Clifton Campus.

Find out more

Data Science

On BSc (Hons) Data Science as well as covering the fundamentals of big data, we’ll support you to develop the tools to use and adapt complex algorithms.

Mathematics

On BSc (Hons) Mathematics you’ll start with the core building blocks like algebra, calculus and statistics before focusing on advanced topics such as mathematical biology, quantum cryptography and graph theory.

Take the next steps:

Our 5 top tips, what we’re looking for and a step-by step guide on applying to an undergraduate course at NTU through UCAS.

Everything you need to know about fees and funding while you’re at university, including tuition fees and living costs, how you’ll pay for your studies, and bursaries and scholarships.

Accommodation

We make accommodation easy. Our halls of residence are secure, inclusive of all bills, and within easy reach of campuses and amenities, giving you more time to focus on your studies, settling in, and making friends.

• Admission Policies
• Financial Support
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• Current Students

Ph.D. Program in Mathematics

Degree requirements.

A candidate for the Ph.D. degree in mathematics must fulfill a number of different departmental requirements.

NYU Shanghai Ph.D. Track

The Ph.D. program also offers students the opportunity to pursue their study and research with Mathematics faculty based at NYU Shanghai. With this opportunity, students generally complete their coursework in New York City before moving full-time to Shanghai for their dissertation research. For more information, please visit the  NYU Shanghai Ph.D. page .

Sample course schedules (Years 1 and 2) for students with a primary interest in:

Applied Math (Math Biology, Scientific Computing, Physical Applied Math, etc.)

Additional information for students interested in studying applied math is available here .

Probability

PDE/Analysis

The Written Comprehensive Examination

The examination tests the basic knowledge required for any serious mathematical study. It consists of the three following sections: Advanced Calculus, Complex Variables, and Linear Algebra. The examination is given on three consecutive days, twice a year, in early September and early January. Each section is allotted three hours and is written at the level of a good undergraduate course. Samples of previous examinations are available in the departmental office. Cooperative preparation is encouraged, as it is for all examinations. In the fall term, the Department offers a workshop, taught by an advanced Teaching Assistant, to help students prepare for the written examinations.

Entering students with a solid preparation are encouraged to consider taking the examination in their first year of full-time study. All students must take the examinations in order to be allowed to register for coursework beyond 36 points of credit; it is recommended that students attempt to take the examinations well before this deadline. Graduate Assistants are required to take the examinations during their first year of study.

For further details, consult the page on the written comprehensive exams .

The Oral Preliminary Examination

This examination is usually (but not invariably) taken after two years of full-time study. The purpose of the examination is to determine if the candidate has acquired sufficient mathematical knowledge and maturity to commence a dissertation. The phrase "mathematical knowledge" is intended to convey rather broad acquaintance with the basic facts of mathematical life, with emphasis on a good understanding of the simplest interesting examples. In particular, highly technical or abstract material is inappropriate, as is the rote reproduction of information. What the examiners look for is something a little different and less easy to quantify. It is conveyed in part by the word "maturity." This means some idea of how mathematics hangs together; the ability to think a little on one's feet; some appreciation of what is natural and important, and what is artificial. The point is that the ability to do successful research depends on more than formal learning, and it is part of the examiners' task to assess these less tangible aspects of the candidate's preparation.

The orals are comprised of a general section and a special section, each lasting one hour, and are conducted by two different panels of three faculty members. The examination takes place three times a year: fall, mid-winter and late spring. Cooperative preparation of often helpful and is encouraged. The general section consists of five topics, one of which may be chosen freely. The other four topics are determined by field of interest, but often turn out to be standard: complex variables, real variables, ordinary differential equations, and partial differential equations. Here, the level of knowledge that is expected is equivalent to that of a one or two term course of the kind Courant normally presents. A brochure containing the most common questions on the general oral examination, edited by Courant students, is available at the Department Office.

The special section is usually devoted to a single topic at a more advanced level and extent of knowledge. The precise content is negotiated with the candidate's faculty advisor. Normally, the chosen topic will have a direct bearing on the candidate's Ph.D. dissertation.

All students must take the oral examinations in order to be allowed to register for coursework beyond 60 points of credit. It is recommended that students attempt the examinations well before this deadline.

The Dissertation Defense

The oral defense is the final examination on the student's dissertation. The defense is conducted by a panel of five faculty members (including the student's advisor) and generally lasts one to two hours. The candidate presents his/her work to a mixed audience, some expert in the student's topic, some not. Often, this presentation is followed by a question-and-answer period and mutual discussion of related material and directions for future work.

Summer Internships and Employment

The Department encourages Ph.D. students at any stage of their studies, including the very early stage, to seek summer employment opportunities at various government and industry facilities. In the past few years, Courant students have taken summer internships at the National Institute of Health, Los Alamos National Laboratory, Woods Hole Oceanographic Institution, Lawrence Livermore National Laboratory and NASA, as well as Wall Street firms. Such opportunities can greatly expand students' understanding of the mathematical sciences, offer them possible areas of interest for thesis research, and enhance their career options. The Director of Graduate Studies and members of the faculty (and in particular the students' academic advisors) can assist students in finding appropriate summer employment.

Mentoring and Grievance Policy

For detailed information, consult the page on the Mentoring and Grievance Policy .

Visiting Doctoral Students

Information about spending a term at the Courant Institute's Department of Mathematics as a visiting doctoral student is available on the Visitor Programs  page.

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[University] Math or info sys (send help)

I am very conflicted right now. My top choices right now are NTU math and SMU info systems (info systems coz I can’t go CS hahahha).

Math is what I’ve always been interested in so naturally it is what I rlly want to do but however it seems that all the IT stuff is bringing in the money and I am afraid that with a degree as general as math I might not have as much of an edge as others in the IT or business sector (2 sectors I’m planning on joining if it turns out I hate academia).

I know it seems that my reason for joining info systems is quite shallow but as someone who comes from Low SES family I value financial stability a lot as I would not like to go through the same money struggles my fam went through again so it seems more practical.

There’s also the fact that I like the SMU seminar teaching style more than the regular lecture tutorial style of NTU. But also I really like problem solving and am very curious as to how math came about and it’s application in daily life so Idk what I’m suited for anymore.

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