- Designed for those wanting to work with and derive meaning from data, but without prior experience of programming
- Explore a wide variety of applications to prepare you for a career working with data in a wide variety of sectors
- Graduate with the capability to extract otherwise-hidden information within data and use it to make informed decisions, with the skills needed to enter a Data Scientist or Analyst role
- Learn a variety of languages essential to Data Science, including R and Python
- Work with data and gain the ability to perform statistical analysis to answer questions, and understand how to interpret and communicate results in the presence of bias and uncertainty.
6th in the UK for Computer Science
The Times and The Sunday Times Good University Guide 2020
Partner to the Alan Turing Institute and home to the Institute of Data Science and Artificial Intelligence
Excellent facilities spanning a wide range of machine types and software ecosystems
Exeter's Q-Step Centre for Applied Social Data Analysis integrates the use of cutting-edge quantitative methods with the study of substantive real world issues in the social sciences
A good degree (normally a 2:2).
Successful applicants will usually have at least an A-level or equivalent in Mathematics and/or have received quantitative skills training as part of their undergraduate programme or professional experience.
Prior experience of coding is not necessary on this course.
Teaching on this programme is delivered through a mix of lectures, projects, group work and hands-on lab sessions. Many of your lectures will be interactive combining a blend of classroom learning, coding and data analysis. Group and individual projects will be undertaken using real data and will often focus on topical challenges which are the focus of current research.
Assessments will be based on a combination of exams, group and individual project work, practical data analysis, visualisation and communication skills.
The course is based around open source software. As a student you will also have access to many programmes, such as Matlab, through the University.
All aspects of the course are design with windows, mac and linux in mind. Many of your practical sessions will take place in the department’s newly refurbished mac suites.
The taught component of the programme is completed in June with the project extending over the summer period for submission in September.
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.
UK/EU fees per year:
£9,950 full time
International fees per year:
£20,950 full time
Global Excellence Scholarships
We are delighted to offer Global Excellence Scholarships for students of outstanding academic quality applying to postgraduate Taught programmes starting in autumn 2020.
Please note that this scholarship isn't offered for all our masters programmes.
Teaching and research
The programme will include applications across a wide variety of sectors and help you develop innovative and responsible approaches to the use of data. You will cover the entire spectrum from collection through to interrogation and analysis, interpretation, visualisation, and communication.
Internationally recognised research
We believe every student benefits from being taught by experts active in research and practice. All our academic staff are active in internationally-recognised scientific research across a wide range of topics. You will discuss the very latest ideas, research discoveries and new technologies, becoming actively involved in a research project yourself.
We aim to provide a supportive environment where students and staff work together in an informal and friendly atmosphere. We operate an open door policy, so it is easy to consult individual members of staff or to fix appointments with them via email. As a friendly group of staff, you will get to know us well during your time here.
Employer demand for statistically-trained data scientists is high. A staggering 98% of our 2016/17 computing graduates, and 84% of mathematics graduates, went into work or further study within six months of graduation.
A World Economic Forum report ‘The Future of Jobs’ states that data analysts are likely to be one of two job fields which will be critically important across all industries and geographies by 2020. ‘Companies expect that [data analysts] will help them make sense and derive insights from the torrent of data generated by technological disruptions’.
Whether you’re looking to take your career in a new direction or for an MSc that will sit alongside your undergraduate degree to land you an exhilarating graduate job, you’re unlikely to find a better choice than Applied Data Science and Statistics.
Dedicated careers support
You will receive support from our dedicated Career Zone team, who provide excellent career guidance at all stages of career planning. The Career Zone provides one-on-one support and is home to a wealth of business and industry contacts. Additionally, they host useful training events, workshops and lectures which are designed to further support you in developing your enterprise acumen. Please visit the Career Zone for additional information on their services.
Fantastic facilities, outstanding teaching, world-leading research and exceptional graduate employability are just a few of the reasons we think you'll love it here. Find out what our students say about choosing Exeter.
Studying at our campuses in Devon or Cornwall means you'll have some of the most beautiful natural scenery in the UK on your doorstep. Find out about student life at Exeter and the huge range of sports, clubs and societies on offer.
One University, two locations
We have around 20,000 students across our three campuses in Devon and Cornwall which means we offer the academic excellence and facilities you'd expect of a major university but also a friendly and welcoming atmosphere.