BSc (Hons)

Data Science

Students using maths puzzles
  • UCAS code(s): 7G73 / 7G74
  • Level(s) of study: Undergraduate
  • Study mode(s): Full-time / Sandwich
  • Location: Clifton Campus
  • Starting: September 2019
  • Course duration: 3 / 4 year(s)
  • Entry requirements: More information

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.

What you'll study

Who will teach me?

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

  • 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 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

    Systems Software

    Study operating systems theory, network solutions, design and implementation, and learn how computer systems can be connected to form large complex distributed systems.

    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.

  • Year Three

    Optional placement year

  • Final year

    Stochastic Processes (core for all students)

    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.

    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.

    Project in Mathematics 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.

    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.

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.

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:

They have also started careers in:

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

Excellent placement opportunities

While studying for your degree, a placement is a valuable addition to your education. It gives you the chance to gain real life work experience, put your knowledge and skills into practice and impress your employer, which increases your chances of being offered a job at the end of your course. After Year Two, you have the opportunity to undertake a one-year work placement in industry, including overseas options.

Recent Mathematics students have secured placements in the following roles and companies:

You’ll be actively encouraged and supported by our dedicated placement team, who’ll help you find and apply for positions that are right for you. They’ll also provide support while you’re in your place of work, whether that’s at home or abroad.

You’ll be assessed throughout the year, and at the end of your placement you’ll write a reflective report and diary. On completion of a successful placement, you’ll be eligible to receive an additional award, the Placement Diploma in Professional Practice,  a great addition to your CV.

Entry requirements

What are we looking for?

  • 104 UCAS tariff points from up to four qualifications (two of which must be A-level equivalent including Mathematics or Statistics grade B); or
  • BTEC Extended Diploma – DMM including relevant mathematics or statistics 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.

What are we looking for?

  • 104 UCAS tariff points from up to four qualifications (two of which must be A-level equivalent including Mathematics or Statistics grade B); or
  • BTEC Extended Diploma – DMM including relevant mathematics or statistics 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.

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

You'll be able to apply for this course in April 2018.  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 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.

You'll be able to apply for this course in April 2018.  Make sure you check the entry requirements above carefully before you do.

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.

Further information on how to apply

Need help with your application?
For admissions related enquiries please contact us:
Telephone: +44 (0)115 848 4200

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.

What do the course fees cover?

All mandatory costs for the course are covered in the course fee. In addition, most study modules will recommend one or more core textbooks, which most students choose to purchase. Book costs vary between courses and further information is available in the University’s bookshop. A good supply of these essential textbooks are available in the University libraries which students can easily borrow or access directly whilst studying in the library.

Students may choose to apply for a placement option during their course. If successful, students will be expected to pay for accommodation, travel and living costs whilst on placement.

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.

While we aim to keep any extra study costs to a minimum, please see our page on additional costs and optional extras to find out about any additional expenses you may incur on your course.

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.

What do the course fees cover?

All mandatory costs for the course are covered in the course fee. In addition, most study modules will recommend one or more core textbooks, which most students choose to purchase. Book costs vary between courses and further information is available in the University’s bookshop. A good supply of these essential textbooks are available in the University libraries which students can easily borrow or access directly whilst studying in the library.

Students may choose to apply for a placement option during their course. If successful, students will be expected to pay for accommodation, travel and living costs whilst on placement.

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.

While we aim to keep any extra study costs to a minimum, please see our page on additional costs and optional extras to find out about any additional expenses you may incur on your course.

Still need help?

Science and Technology course enquiries
+44 (0)115 848 8351