MSc Data Science with Artificial Intelligence
|Duration||Full time 1 year|
Data Science at the University of Exeter
Our MSc Data Science with Artificial Intelligence draws upon our research expertise within Exeter's Institute for Data Science and Artificial Intelligence, in areas including; computer vision, knowledge representation, bio-inspired computation and optimisation.
Particularly suited to graduates interested in learning the theoretical and practical skills within data science whilst developing advanced skills in artificial intelligence, this degree opens doors to a range of exciting careers.
You will cover:
- The fundamental mathematical and computational techniques which underpin Data Science applications, building on your existing scientific and/or mathematical knowledge
- Specific applications including network analysis, text analysis and machine vision as well as governance and ethical aspects of data use
- Different methods of analysis and efficient approaches to visualisation and presentation
- Your research project allows you to develop skills in a specific area of interest, pursuing your ideas while guided by an academic supervisor
|ECMM443||Introduction to Data Science||15||Yes|
|ECMM444||Fundamentals of Data Science||15||Yes|
|ECMM445||Learning from Data||15||Yes|
|ECMM451||Data Science Research Project||60||Yes|
Select 30 credits:
|ECMM423||Evolutionary Computation & Optimisation||15||No|
|ECMM408||Logic, Ontology and Knowledge Representation||15||No|
Select 30 credits:
|ECMM446||Bayesian Statistics, Philosophy and Practice||15||No|
|ECMM447||Social Networks and Text Analysis||15||No|
|ECMM448||High Performance Computing and Distributed Systems||15||No|
|ECMM449||Advanced Statistical Modelling||15||No|
|ECMM449||Statistical Modelling in Space and Time||15||No|
|BEMM129||Digital Business Models||15||No|
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.
Learning and teaching
Artificial Intelligence at Exeter
Teaching on this degree is directly influenced by research undertaken within Exeter’s Institute for Data Science and Artificial Intelligence which provides a hub for data-intensive science and artificial intelligence activity within the University.
The institute’s vision for data science is to find new means of interrogating and understanding data and to apply cutting-edge data analytical methodologies to diverse questions. It is a truly interdisciplinary research community made up of data scientists, mathematicians, and computer specialists across many of Exeter’s research groups and departments.
Learning and Teaching
Teaching is mainly delivered by lectures, workshops and online materials. Each module references core and supplementary texts, or material recommended by module deliverers, which provide in depth coverage of the subject and go beyond the lectures.
We aim to provide a supportive environment where students and staff work together in an informal and friendly atmosphere. The department has a student-focused approach to teaching, whereby all members of staff deal with questions on an individual basis. 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.
A research and practice led culture
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.
The assessment strategy for each module is explicitly stated in the full module descriptions given to students. Group and team skills are addressed within modules dealing with specialist and advanced skills. Assessment methods include essays, closed book tests, exercises in problem solving, use of the Web for tool-based analysis and investigation, mini-projects, extended essays on specialized topics, and individual and group presentations.
Data Science is changing the way people do business. Mountains of previously uncollectable data, generated by huge growth in online activity and appliance connectivity, is becoming available to businesses in every sector. The opportunities for businesses and individuals who can manage, manipulate and extract insights from these enormous data sets are limitless. A direct result of this is the dramatic increase in demand for individuals with the skills to turn this information into insight is outstripping supply.
Upon completion of this course, you will possess not only the practical and theoretical knowledge necessary to start a career in the field of Data Science, you will also be able to apply the knowledge gained throughout your Masters to understand and design artificially intelligent computer-based systems.
Being part of Exeter’s fastest growing department and studying in an area experiencing rapid growth across multiple sectors of Industry, you’ll have excellent career potential.
All of our students, current and alumni, receive support from our dedicated Career Zone team who provide excellent career guidance at all stages of the career planning cycle. The Career Zone provides one-on-one support and is home to a wealth of business and industry contacts. They host useful training events, workshops and lectures throughout the year, designed to further support you in developing your enterprise acumen. Please visit the Career Zone for further information about their services.
As an Exeter graduate you will have access to the Career Zone for life.
Candidates are required to have at least a 2:1 degree in a strongly numerate subject (e.g. computer science, mathematics, physics) and must be able to show evidence of good programming ability in a recognised modern computer language. Candidates may be interviewed by video conference to assess their programming ability and suitability for the course.
The Python programming language is used extensively during this course and applicants with experience in other languages will be asked to learn basic Python before commencing the course.
We may consider applications with non-standard qualifications where there is evidence of exceptional performance in modules relevant to the programme of study, significant relevant work experience, or relevant professional qualifications.
Requirements for international students
If you are an international student, please visit our international equivalency pages to enable you to see if your existing academic qualifications meet our entry requirements.
English language requirements
Overall score 6.5. No less than 6.0 in any section.
Applicants with lower English language test scores may be able to take pre-sessional English at INTO University of Exeter prior to commencing their programme. See our English language requirements page for more information.
Fees and funding
Tuition fees per year 2020/21
- UK/EU: £9,950 full-time
- International: £20,950 full-time
Fees can normally be paid by two termly instalments and may be paid online. You will also be required to pay a tuition fee deposit to secure your offer of a place, unless you qualify for exemption. For further information about paying fees see our Student Fees pages.
UK government postgraduate loan scheme
Postgraduate loans of up to £10,609 are now available for Masters degrees. Find out more about eligibility and how to apply.
Global Excellence Scholarship
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.
We welcome enquiries about the course.
For further information contact:
Web: Enquire online
Phone: +44 (0) 1392 724061