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BSc (Hons)

Data Science

Students using maths puzzles

Year Of Entry

2022
Top
20
In the UK for Mathematics
in The Guardian University Guide 2021
  • UCAS code(s): 7G73 / 7G74
  • Level(s) of study: Undergraduate
  • Study mode(s): Full-time / Sandwich
  • Location: Clifton Campus
  • Course duration: 3 / 4 year(s)
  • Entry requirements: More information


FIND US ON

Big data. Machine learning. Artificial intelligence. Data science underpins them all and at NTU we have one goal – to make you an expert.

You’ll get to grips with a mathematical framework that allows you to really understand the complexities of dealing with massive, highly dimensional datasets. As well as covering the fundamentals of core mathematics, we’ll support you to develop the tools to use and adapt complex algorithms.

You’ll study modules from both the mathematics and computing sides of your course, giving you a firm grounding across the subject. When you get to your final year project, you can choose a subject area that interests you the most and aligns with your future career.

Our Mathematics degree are current and relevant to the needs of business. Our close links with industry means that, if you wish, you’ll have the opportunity to take up job placements with some of the world’s leading companies.

You’ll benefit from excellent teaching. We are in the top 10 in the UK for teaching quality in mathematics (The Times and Sunday Times Good University Guide 2021).

Foundation Year

We offer BSc (Hons) Data Science (with foundation year) which you can apply for if you don't meet the entry criteria for this course. See our course page for foundation modules.

What you'll study

From natural science, through the business, finance and retail sectors to social networking and mobile devices, computer-based systems now generate huge volumes of data almost continuously. The rapid emergence of ‘Big Data’ brings challenges: there is now an urgent need for graduates skilled in the sophisticated mathematical and computational techniques required for large-scale data analysis.

This bespoke course has been developed in conjunction with specialists in Data Science and sits at the interface of mathematics, statistics and computer science. You'll develop key computer science skills, becoming proficient in several programming languages as well as database design. You will also learn extensive mathematical and statistical theory and techniques, applying this knowledge to a range of problems linked to processing data.

Who will teach me?

Visit our academic team pages to find out more about our approach to teaching, our partners and research interests.

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.

  • Year One

    Mathematical Methods

    This module aims to consolidate and extend your previous knowledge of calculus and linear algebra, with emphasis on the underlying intuition of the techniques.

    Introduction to Numerical Methods

    Learn about important numerical methods for solving mathematical problems and develop computational skills using specialist mathematical software packages.

    Foundations of Computing and Technology Programming

    This module has several strands including programming and technical aspects that introduce you to the fundamentals of writing computer programs.

    Computer Science Programming

    Learn about programming languages relevant to software with industrial scale, reliability and performance characteristics.

    Data Analysis

    Gain an introduction to statistical ideas and their application using modern software. Explore data analysis, probability, statistical inference and statistical modelling.

    Introduction to Abstract Algebra

    You’ll be introduced to the world of rigorous mathematics, as well as the theory to help you learn about the most important algebraic structures; groups and vector spaces.

  • Year Two

    Problem Solving

    Learn how to select and apply appropriate techniques, and use specialist mathematical and statistical software to help solve open ended problems. Extend your commercial awareness by tackling industrial problems in a professional manner.

    Discrete Mathematics and Computational Complexity

    Gain an in-depth knowledge of the fundamental concepts in discrete mathematics and computational complexity theory by focusing on real-world applications.

    Probability and Statistical Inference

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

    Machine Learning for Data Analytics

    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.

    Information and  Database Engineering

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

    Linea 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’ll be introduced to coding theory through the application of linear algebra to linear codes.

  • Optional placement year

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

  • Final year

    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.

    Artificial Intelligence (AI)

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

    Either

    Project in Mathematics

    Your project gives you the opportunity to demonstrate your skills, knowledge and understanding of mathematics or computing, and show your planning and problem solving abilities.

    OR

    Project in Computing

    Your project gives you the opportunity to demonstrate your skills, knowledge and understanding of mathematics or computing, and show your planning and problem solving abilities.

    And Either

    Professional Mathematics Skills

    Gain a broad view of the practical applications of mathematics in the real world, especially in industrial contexts such as finance, physics and
    engineering.

    OR

    Communicating Science and Technology

    This module will be of interest to you if you are considering a career in teaching and / or want to develop your portfolio of transferable skills.

    Choose two modules from:

    Stochastic Processes 

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

    Optimisation

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

    Computational Statistics & Data Analysis

    Explore topics from computational statistics and statistical models relevant to modern applications, with an emphasis on developing solid conceptual understanding of these methods through applications.

How you’re taught

How will I learn?

We will provide lectures, practical computing sessions, seminars and two to four surgery sessions each week. Here you’ll meet with your lecturer in small groups to discuss any problems, or work through challenging topics. The rest of your time will be spent carrying out independent study such as reading textbooks and lecture notes, and working on exercises.

How will I be assessed?

We want you to graduate with a range of transferable skills, so all of the modules have two or three assessment components that help you to demonstrate your knowledge in a variety of ways. As well as traditional exams and in-class tests, you’ll complete assignments and group projects, and give presentations.

Assessment methods

Year 1 - coursework (57%) and written (43%)

Year 2 - coursework (42%) and written (58%)

Year 3 - coursework (66%) and written (34%)

A placement year may be taken between year 2 and year 3 of study

Contact hours

A full-time student on average can expect to spend 1200 hours a year learning which will typically be broken down as follows:

Year 1 - lectures/seminars/workshops (36%) and independent study (64%)

Year 2 - lectures/seminars/workshops (32%) and independent study (68%)

Year 3 - lectures/seminars/workshops (19%) and independent study (81%)

A placement year may be taken between year 2 and year 3 of study

Careers and employability

Your career development

This course prepares you for a wide range of career opportunities both inside and outside mathematics. It’ll help you to develop numerical, analytical and computational skills which are greatly respected by employers. You’ll also gain essential, transferable skills including report communication, team working and problem solving. Our graduates have gone on to work for companies and in roles such as:

  • Nomura – international technology analyst
  • Bradford and Bingley – portfolio officer
  • Shell International Trading and Shipping – finance administrator
  • Brackman Chopra LLP – trainee accountant
  • Caisson Investment Management – investment analyst
  • Chase Evans – accounts payable officer
  • Drop Test Kits – product technician
  • FDM – trainee software test analyst
  • Interoute – graduate accounts assistant (Commissions)
  • Oegen – junior programmer / project manager.

They have also started careers in:

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

Placements

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 a range of 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 the 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 a wide range of companies including L’Oreal, IBM and Mercedes. They secured varied roles such as Business Analyst, Demand and Forecasting Assistant and IT Intern.

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 successfully complete your placement, you will be eligible to receive an additional award of a Diploma in Professional Practice.

Find out more about work placements.

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 own businesses.

Entry requirements

What are we looking for?

  • 120 UCAS tariff points from up to four qualifications (two of which must be A-level equivalent including Mathematics grade B); or
  • BTEC Extended Diploma – DDM including relevant mathematics modules; and
  • GCSEs – English and Maths grade C / 4

Other qualifications and experience

We consider equivalent qualifications and combinations, please see UCAS course search for details and use our calculator to help you work out how many UCAS points your qualifications relate to.

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.

Contextual offers

As well as assessing your application and qualifications, we use contextual data and information to make offers for this course. Depending on your circumstances, we may make you an offer up to two grades below the standard entry criteria. Find out how we assess your application.

Getting in touch

  • If you need any more help or information, please email our Admissions and Enquiries Team or call on +44 (0)115 848 4200.

What are we looking for?

  • 120 UCAS tariff points from up to four qualifications (two of which must be A-level equivalent including Mathematics grade B); or
  • BTEC Extended Diploma – DDM including relevant mathematics modules; and
  • GCSEs – English and Maths grade C / 4

Applicants without A-levels will have their qualifications assessed for subject compatibility. We also consider equivalent qualifications and combinations. Please see UCAS Course Search for more details.

If you don't meet the entry requirements above you might be interested in our BSc (Hons) Data Science (with foundation year).

NTU may admit a student with advanced standing beyond the beginning of a course, through an assessment of that student's prior learning, whether it is certificated or uncertificated. Our Recognition of Prior Learning and Credit Transfer Policy outlines the process and options available to these prospective students, such as recognising experiential learning or transferring to a similar course at another institution, otherwise known as credit transfer.

All prospective students who wish to apply via Recognition of Prior Learning should initially contact the central Admissions and Enquiries Team who will be able to support you through the process.

International qualifications

We accept qualifications from schools, colleges and universities all over the world for entry onto our UG and PG degrees. If you’re not sure how your international qualification matches our course requirements please visit our international qualifications page.

Foundation courses

If you are an international student who does not meet the direct entry requirements for this course, you can prepare for it at Nottingham Trent International College. Their Foundation Certificate in Science and Engineering (life sciences) offers students a guaranteed progression route to this degree on successful completion to the required level.

English language entry requirements

If English is not your first language you need to show us that your language skills are strong enough for intensive academic study. We usually ask for an IELTS test and we accept some alternative English language tests.

  • For a list of our language requirements please visit our English language page.
  • If you need to do a pre-sessional English language course to meet the English requirements please visit our pre-sessional English course page.

Help and support

If you have any questions about your qualifications or about making an application to the University please contact our International Team for advice.

How to apply

Make sure you check the entry requirements above carefully before you apply.

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 you’ve applied, we’ll be sending 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!

Please read our notes on the University's commitment to delivering the educational services advertised.

Make sure you check the entry requirements above carefully before you apply.

You can apply directly to the University for an undergraduate course if you’re not applying to any other UK university in the same year. If you are applying to more than one UK university you must apply through UCAS.

Apply as early as you can so that you have time to prepare for your studies. If you need a visa to study here you need to plan this into your application.

  • For a step-by-step guide on making an application to the University please visit our how to apply page.
  • For advice on applying for a visa please visit our visa information page.
  • For advice on how to write a good personal statement please visit our personal statement page.

Keeping up-to-date

After you’ve applied, we’ll be sending you important emails throughout the application process so check your emails regularly, including your junk mail folder.

Good luck with your application!

Please read our notes on the University's commitment to delivering the educational services advertised.

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.

Getting in touch

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

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 will recommend one or more core text books, which most students choose to purchase. Book costs vary and further information is available in the University’s bookshop. Our libraries provide a good supply of essential text books, 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 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 take part in optional field trips, which do incur additional costs.

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. Placement opportunities are available in the UK and overseas.  Travel grants and Erasmus funding may be available to help fund international travel costs.

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 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.

Other

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

We offer prestigious scholarships to new international students holding offers to study at the University.

  • For more information other opportunities for funding please visit our international pages.
  • For information on how to pay your fees to the University please visit our international fee payment page.

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 will recommend one or more core text books, which most students choose to purchase. Book costs vary and further information is available in the University’s bookshop. Our libraries provide a good supply of essential text books, 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 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 take part in optional field trips, which do incur additional costs.

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. Placement opportunities are available in the UK and overseas.  Travel grants and Erasmus funding may be available to help fund international travel costs.

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 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.

Other

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

Still need help?

+44 (0)115 941 8418