Skip to main content

Undergraduate Study

MSci Data Science - 2020 entry

Please note: The below is for 2020 entries. Click here for 2021 entries.
UCAS code GG17
Duration 4 years
Entry year 2020
Contact

Web: Enquire online
Phone: +44 (0)1392 724061

Entry requirements

A levels: AAA-AAB
IB: 36/666-34/665
BTEC: DDD

View full entry requirements

Campus Streatham Campus
Discipline Data Science

Overview

  • This course has been developed in collaboration with industry, using current methods, platforms, software and data, to ensure you are fully prepared for workplace practice upon graduation
  • Throughout your studies at Exeter, you will develop fundamental mathematical and computational techniques via a mixture of individual and group learning
  • Our programmes support you in becoming an outstanding, dynamic problem solver with an excellent technical skillset, preparing you for a fantastic array of professions that require the technical expertise of a data scientist
  • Taught by active researchers who are experts in their fields, covering the core areas of mathematics and computer science while introducing you to applied data science as well as social context
  • Research projects in each academic year will allow you to develop research and project management skills in an area of interest, using real world datasets and guided by a leading academic supervisor
  • Pursue your studies to Masters level in your final year with the freedom to choose advanced modules to suit your interests

View 2021 Entry

Get a prospectus

Open Days and visiting us

Apply via UCAS

6th in the UK for Computer Science

The Times and The Sunday Times Good University Guide 2020

Partner to the Alan Turing Institute

Home to Exeter's Institute for Data Science and Artificial Intelligence

Entry requirements

Qualification Required grades Required subjects
A-Level AAA-AAB GCE AL Maths grade B in Mathematics, Pure Mathematics or Further Mathematics
IB 36/666-34/665 IB Maths HL5
BTEC DDD Applicants studying a BTEC Extended Diploma will also require GCE AL Maths grade B
GCSE C or 4 English Language
Contextual Offer

A-Level: BBB
IB: 30
BTEC: DDM

Specific requirements must still be achieved, therefore where a grade A is required, offers will be ABC or ACC. Find out more about contextual offers.

International equivalences

View EU and international equivalences

NB General Studies is not included in any offer.

International Foundation programmes

Preparation for entry to Year 1 of an undergraduate degree:

Course content

Please note: This programme is currently in development. The modules listed below are indicative of the topic areas you can expect to cover on the course, but are subject to change.

The modules we outline here provide examples of what you can expect to learn on this degree course based on recent academic teaching. The precise modules available to you in future years may vary depending on staff availability and research interests, new topics of study, timetabling and student demand.

In your first year, you will be introduced to the fundamental technical and professional skills needed to successfully engage with machine learning, artificial intelligence and data science. You will learn core knowledge and practical skills relating to data structures and algorithms that are commonly applied in this topic area, as well as some of the most common techniques and applications of AI and machine learning.

In year 2 you will gain theoretical and practical understanding of some of the core techniques in machine learning and data science. You will also learn how techniques are applied to workflows linked to tackling challenges in real-world social issues. Through lectures and practical exercises, you will develop vital professional and interpersonal skills needed to work effectively in the mathematical and digital sector, including project management and teamwork.

In your third year, alongside your individual project, you will explore the world of “big data” and its demands for high-performance computing (HPC) to take advantage of modern learning and statistical methods applied to novel datasets. You will then select up to five optional modules ensuring you gain a broad range of knowledge across Data Science.

Your final year will comprise group and individual work as you carry out your final year project. Advanced optional modules will give you the opportunity to specialise in areas that are most suited to your interests, giving you a strong foothold for future career development.

Fees

Tuition fees for 2020 entry

UK and EU students: £9,250 per year
International students: £20,950 per year

Please note that these figures may be subject to change.

Global Excellence Scholarships

Global Excellence Scholarships worth £5000+ are available for International fee paying students studying Mathematics. If you’d like to find out more visit our funding database, or you can apply for this scholarship directly online.

Find out more about tuition fees and funding

Learning and teaching

Lectures, seminars and workshops

We make use of a variety of teaching styles, including lectures, seminars, workshops and tutorials. Most modules involve two or three lectures per week, so you would typically have about 10 lectures each week. In addition, workshops and tutorials support and develop what you’ve learnt in lectures and enable you to discuss the lecture material and coursework in more detail. You’ll have over 15 hours of direct contact time per week with your tutors and you will be expected to supplement your lectures with independent study. You should expect your total workload to average about 40 hours per week during term time.

Virtual learning environment

We’re actively engaged in introducing new methods of learning and teaching, including increasing use of interactive computer-based approaches to learning through our virtual learning environment, where the details of all modules are stored in an easily navigable website. You can access detailed information about modules and learning outcomes and interact through activities such as the discussion forums.

A research and practice led culture

We believe every student benefits from being taught by experts active in research and practice. You will discuss the very latest ideas, research discoveries and new technologies in seminars and in the field and you will become actively involved in a research project yourself. All our academic staff are active in internationally-recognised scientific research across a wide range of topics. You will also be taught by leading industry practitioners.

Assessment

Modules are assessed by a combination of continuous assessment through small practical exercises, project work, essay writing, presentations and exam.

Read more

Your future

There is an established strong market demand for suitably skilled data scientists and data science skills are increasingly being sought across the sectors, particularly by the finance and accounting industries, supermarkets, online retailers such as Amazon, and the NHS.

This Data Science course has been developed with partner employers, including IBM, the Met Office, South West Water, Black Swan and Oxygen House and has been designed to deliver skills that are most valued by employers. Modules will use the employers’ methods, platforms, software and data, to ensure that they are fully reflective of workplace practice. Throughout your studies you will conduct individual and group projects using real world data sets.

This course will prepare you to be an outstanding dynamic problem solver with an excellent technical skillset. In addition to learning the core principles of Mathematics and Computer Science, you will learn soft skills that employers have told us they are looking for, such as communication and presentation skills, and the ability to work effectively in a team.

The inclusion of individual- and group-based project work in every academic year will offer you an opportunity to apply your skills to solve real world problems and prepare you for future employment.

Industrial Experience

As part of the four-year degree, you can choose to take an optional Commercial and Industrial Experience module during the vacation before the third year (subject to availability). This very rewarding opportunity allows you to gain paid work experience while earning credits towards your degree programme. Following the placement you can report on your experience which, alongside a report from the employer, enables you to count your experience as a third-year optional module. We have excellent links with employers and can provide assistance in finding suitable employment.

Read more