Mathematics with Data Science FT

取得日期：未有保存

https://www.ntu.ac.uk/course/science-and-technology/ug/mathematics-with-data-science?year=2027

BSc (Hons) Mathematics with Data Science

Mathematics with Data Science BSc (Hons)

UCAS code: G120 (full-time), G121 (sandwich)

Book an open day

Get email updates

Level of study:

Undergraduate

Typical offer:

112 - 120 UCAS tariff points

Start date:

September 2027

Duration:

Three years full-time / four years with placement

Attendance:

Full-time, Placement year

Course delivery:

On-campus (Clifton Campus)

Accredited

Work placement opportunities

Study abroad opportunities

About this course

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.

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.

Professional accreditation

by the Institute of Mathematics and its Applications, which is a seal of approval from the professional body and will help you on your way to Chartered Mathematician status.

Top 20 in the UK

for teaching quality in Mathematics (Times and Sunday Times Good University Guide 2026).

A university campus experience

within one of Europe’s top 25 student cities, and home to over 75,000 learners.

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.

Summer Research Placements

Take your learning beyond the classroom with a fully funded summer research placement. You'll work alongside expert researchers on cutting-edge projects, contributing to impactful research that tackles real-world challenges. Many projects are connected to our internationally recognised research activities, while some are supported by industry partners, giving you valuable experience of commercial collaborations and applied research. It's a fantastic way to develop your skills, strengthen your CV and discover where a career in research could take you. Placements are competitive and subject to availability.

Course accreditations

This course is also accredited by the Institute of Mathematics and its Applications, which is a seal of approval from the professional body and will help you on your way to Chartered Mathematician status.

Module information

A standard full-time BSc (Hons) course is made up of 120 credits studied each year. Some courses may vary, however, and you can find information on the total number of credits achieved per module below.

Here’s a breakdown of what you’ll be studying throughout the

Year OneYear TwoOptional Placement YearFinal Year

ModulesExpand all +

Foundations of Pure Mathematics

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 vector spaces and groups.

20 credits

Calculus

The module aims to consolidate and extend previous knowledge of calculus, with emphasis on the underlying intuition of the techniques. Methods taught will include professional mathematical writing, definitions of limits and functions, differentiation and integration, from the fundamental principles, to integrating and differentiating complicated functions. This is then extended to multi-dimensional coordinate systems.

Finally, we will study ordinary differential equations, which describe changes in real-world systems. These will be solved by applying the techniques from the first part of the module. Overall, this module will underpin material that you will encounter in many subsequent modules, both in the same and other fields.

Data Analysis

This module provides a foundation to data analysis and statistics, designed for students with no prior background in the subject. Using user-friendly statistical software, it offers a practical approach to exploring key concepts. Assessments are structured around work like experience, incorporating big data applications and global sustainability targets.

Beyond technical skills, the module fosters employability by developing teamwork, oral presentation abilities, and effective communication with non-specialist audiences. Beginning with data visualisation and fundamental statistical principles, it progresses to more advanced topics such as expectation and conditional probability, ensuring a solid foundation in statistical reasoning needed for the advance topics in higher years.

Introduction to Linear Algebra and Computation

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

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

You’ll start by learning how to program using Python before investigating several problems in discrete mathematics. Working in groups, you’ll discover potential solutions, which will be formalised into algorithms that can be implemented in Python.

Linear Algebra and its Applications

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

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

Mathematical Enterprise

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 local businesses.

Cryptography and Computational Complexity

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

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

Foundations of Artificial Intelligence and Machine Learning

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 modulesExpand all +

Project and Professional Skills

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.

40 credits

Optimisation

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

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

Learn about the processes and techniques data scientists use to support the challenging workloads for data science by focusing on a range of distributed database technologies that can support big data.

Optional modules - choose oneExpand all +

Experimental Design and Machine Learning

This module will show you how to get the most of real-life data. In the experimental design half, you’ll learn the methodology and techniques to design, conduct and analyse an experiment before applying statistical analysis to your results to ensure you get the best data possible. The machine learning half will show you how to get the most out of any dataset you may come across in your future career.

Stochastic Processes

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

The medical side will focus on clinical trial design (how to test novel drugs, when to use placebos etc.) and survival analysis (how we display fatality rates and compare survival chances). The financial side will look at Time Series modelling; the dark arts of using statistical models to predict envelopes for future stock performance! This model gets you to practically apply analytical skills in two of the big growth fields for Maths employment.

Graph Theory and Combinatorics

This module introduces some research-informed topics in discrete mathematics by extending and building on ideas introduced in earlier years. It provides a blend of mathematical concepts and techniques that are widely applicable in areas such as data science, operational research, chemistry, engineering, computer science, information technology, statistics, sociology and genetics.

We regularly review our course content based on student and employer feedback to ensure they remain current and relevant. This may result in changes to module content or availability in future years. Optional modules will only run where there is sufficient demand. This will be determined on a case-by-case basis to protect the academic and student experience.

Student experience

Ruby Platt

Mathematics student

“The lecturers here in the maths department are world class...and they teach in a way that doesn't make you feel silly or like you don't know anything.”

Read Ruby's profile

Jordan Jackson

Financial Mathematics student

“I had visited NTU and had spoken to some friends who were studying at NTU. Their feedback was nothing but positive.”

Read Jordan's profile

Video Gallery

Alumni Profile | Ruby - BSc Mathematics and MRes Mathematical Sciences

How you're taught

You’ll learn through a mix of:

lectures - covering the key theories

seminars - smaller-group sessions perfect for learning key skills and collaborative working

practical sessions - using our extensive range of industry-standard facilities

workshops - these include sessions where you’ll meet industry partners to learn about current software practices.

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

A placement year may be taken between Year Two and Year Three of study.

In your final year, you’ll also complete your final project with the support of your personal tutor.

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.

How you're assessed

People excel in different ways, and we want everybody to have the best possible chance of success. That’s why we’ve adopted a range of assessment types, including:

coursework, including case studies, dissertation and other assignments

practical assessments, such as individual and group presentations, laboratory assessments and lab reports

exams and tests, including formal exams, written tests and multiple-choice.

Contact hours

For each 20-credit module, you’ll spend about 200 hours learning overall. Around 40 of those hours will be taught in lectures or seminars. The rest of the time is for independent study, reading, research, or working on assignments.

Who will teach you?

Nadia Chuzhanova

Hourly Paid Lecturer (Physics and Maths)

Nadia Chuzhanova staff profile

Visit Nadia Chuzhanova's staff profile

Jonathan Crofts

Senior Lecturer

Visit Jonathan Crofts's staff profile

James Hind

Visit James Hind's staff profile

Martin Nelson

Dr. Martin Nelson is a Senior Lecturer of Applied Mathematics at NTU, researcher of Mathematical Biology, complex immunology and multi-faceted bio systems.

Visit Martin Nelson's staff profile

Colin Wilmott

Visit Colin Wilmott's staff profile

Entry requirements

UK students

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

To find out what qualifications have tariff points, please use our tariff calculator.

Additional requirements

Additional requirements for UK students

There are no additional requirements for this course.

Contextual offers

We consider every application in the context of your individual circumstances and educational background. This may include information about where you live, the school or college you attended, or experiences that may have shaped your educational journey. This is known as a contextual offer, and we use information provided through UCAS to help inform our decisions. By considering achievement in context, we can better recognise academic potential and ensure applicants are assessed as fairly and fully as possible.

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.

Other qualifications and experience

NTU welcomes applications from students with non-standard qualifications and learning backgrounds, either for year one entry or for advanced standing beyond the start of a course into year 2 or beyond.

We consider study and/or credit achieved from a similar course at another institution (otherwise known as credit transfer), vocational and professional qualifications, and broader work or life experience.

Our Recognition of Prior Learning and Credit Transfer Policy outlines the process and options available for this route. If you wish to apply via Recognition of Prior Learning, please contact the central Admissions and Enquiries Team who will be able to support you through the process.

Getting in touch

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

International students

Academic entry requirements: 120 UCAS Tariff points from up to four qualifications including A-level or equivalent Maths grade C. We accept equivalent qualifications from all over the world. Please check your international entry requirements by country.

English language requirements: See our English language requirements page for requirements for your subject and information on alternative tests and Pre-sessional English.

Additional international requirements

Additional requirements for international students

English language requirements

View our English language requirements for all courses, including alternative English language tests and country qualifications accepted by the University.

If you need help achieving the language requirements, we offer a Pre-Sessional English for Academic Purposes course on our City campus which is an intensive preparation course for academic study at NTU.

If you have the right level of qualifications, you may be able to start your Bachelors degree at NTU in year 2 or year 3. This is called ‘advanced standing’ entry and is decided on a case-by case basis after our assessment of your qualifications and experience.

You can view our Recognition of Prior Learning and Credit Transfer Policy which outlines the process and options available, such as recognising experiential learning and credit transfer.

Sign up for emails

Sign up to receive regular emails from the International Office. You'll hear about our news, scholarships and any upcoming events in your country with our expert regional teams.

If you need advice about studying at NTU as an international student or how to apply, our international webpages are a great place to start. If you have any questions about your study options, your international qualifications, experience, grades or other results, please get in touch through our enquiry form. Our international teams are highly experienced in answering queries from students all over the world.

Policies

We strive to make our admissions procedures as fair and clear as possible. To find out more about how we make offers, visit our admissions policies page.

Fees and funding

UK students - see the fees for this course, as well as information about funding and support.

£10,050 per year

If you choose to do a placement year, you'll pay a reduced fee for that year. Please be aware that you will be charged the fee set for the year this takes place, rather than being fixed at the rate applicable when you start your course, and any increases are subject to Government approval. As a guide, the fee for the 2027/28 academic year is £2,010.

Find out about the extra support we may be able to provide to help pay for uni, including NTU bursaries and scholarships.

You will need to pay tuition fees for each year that you are at university. The tuition fees, including the placement year and study abroad options are subject to government policy and may change in future years of study.

Preparing for the financial side of student life is important, but we don’t want you to feel anxious or confused about it. Visit our fees and funding pages if you have any concerns.

International students - see the fees for this course, as well as payment advice and scholarships.

£18,400 per year

You will need to pay tuition fees for each year that you are at university. The tuition fees might increase from the second year of your undergraduate course, in line with inflation and as specified by the UK government.

Scholarships

We offer international scholarships of up to 50% of your tuition fee. You can apply for a scholarship when you have an offer to study at NTU.

Living costs

See our advice on managing your money and the cost of living as an international student in Nottingham.

Paying fees

As an international student, you'll need to make an advance payment as part of your offer conditions. You'll then need to pay your tuition fees in full, or have an agreement to pay in two further instalments, in order to enrol on the course.

Find out how and when to pay your fees, including information about your advance payment, instalment dates and how to make payments securely to the University.

Enquiries

If you have any queries relating to advance payments or arrangements to pay, please contact our friendly and experienced international enquiries team.

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. There are just a few additional things you may need to budget for:

Textbooks and library books

Your modules will point you to key textbooks and recommended reading. Many are available online, and in our libraries, but some students choose to buy their own copies. You’ll receive resource lists showing where to access eBooks, digital resources and physical copies. Our friendly Library team is always on hand to help you find what you need.

Printing and photocopying costs

The University allocates an annual printing and copying allowance of £20 depending on the course you are studying. For more details about costs for additional print and copying required over and above the annual allowance please see the printing and photocopying information on the Library website.

Placements

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 do earn a salary whilst on placement which can help to cover these living costs.

Field trips

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

Scientific Calculator

You will require a scientific calculator for use in examinations (e.g. any A-level approved calculator such as Casio 83 or 85 series, approximately £15).

Year abroad

If you choose to study abroad for a year, you may need to consider additional costs such as visas, vaccinations, accommodation and travel expenses.

Fees and funding advice

For more advice and guidance, phone the Student Money Team on +44 (0)115 848 2494.

Cost of living information and support

Managing your money can help you make the most of life at NTU. Here's how we can support you, and now you can make your funding go further.

Cost of living in Nottingham

Our student benefits and free services

Money advice for international students

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.

Employability Promise

Personalised support, one-on-one coaching and industry-specific advice – it’s all part of our Employability Promise. And it doesn’t end when you leave NTU – you’ll have access to all our careers services for three years after you graduate (conditions apply).

Assessed work-like experience

We’ve embedded at least eight weeks of assessed work-like experience into all of our courses. This gives you the opportunity to apply your learning in real-world scenarios, build your confidence, and develop the experience employers are looking for.

NTU Enterprise

If you’re a budding entrepreneur, NTU Student Enterprise can help you to develop your ideas and innovations and turn them into a reality. We also offer training, mentoring, workshops, financial advice and more to develop your business skills.

Campus and facilities

You’ll mainly be studying in the Erasmus Darwin Building and Teaching and Learning Building with access to facilities including 3D printers and VR to help you visualise mathematical concepts.

Our self-contained, community-focused Clifton Campus has been designed to keep students busy between lectures. Catch-up with your course mates in the Pavilion’s barista café and Refectory; brainstorm group presentations in chic and stylish study spaces; enjoy some proper R&R in The Point, home of our Students’ Union. The campus also hosts the multimillion-pound Clifton Sports Hub, offering great options for everyone — whatever your interests, and however competitive you’d like to get!

You’re also right next to the bright lights of Nottingham — one of Britain’s top 10 student cities, and one of Europe’s top 25. All through termtime, a dedicated on-campus bus service will get you to the heart of the action (and back) in under 25 minutes. You’ll find a city stuffed with history, culture, and well-kept secrets to discover at your leisure: enjoy lush green spaces, galleries, hidden cinemas and vintage shopping by day, and an acclaimed food, drink and social scene by night.

Take our virtual tour to get a real feel for the campus.

Clifton Library

For more information visit the Clifton Library page.

NTSU Clifton Campus

For more information visit the NTSU Clifton Campus page.

IT facilities Clifton Campus

For more information visit the IT facilities Clifton Campus page.

Clifton Campus Sports Facilities

For more information visit the Clifton Campus Sports Facilities page.

Take a virtual tour

Applying

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

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!

Apply through UCAS

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.

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.

Please read our application guidance before you start your application.

We advise you to prepare and apply as early as you can as Student visa processing time can vary.

We'll send you important emails throughout the application process. Please check your emails regularly, including your junk/spam mail folder.

Apply through NTU portal

Personal statement guidance

You’ll submit a personal statement with your UCAS application – here are our tips on what to include and how to structure your personal statement.

Application support

If you have any questions about applying, get in touch through our online form or call us on 44 (0)115 848 4200.

Related courses

Mathematics with Data Science (with foundation year)

BSc (Hons)

Data Science

Mathematics

More from this subject

View more courses on the Mathematics subject page

Further study

View Mathematics postgraduate courses

Our course statistics

Keeping in touch

Ask us a question

Sign up for updates

Call +44 (0)115 848 2999

Email the international team

Explore life at NTU

Accommodation

Life in Nottingham

Student support

International

請查看下方完整入學要求原文，或向院校確認。