MSc Data Science (Professional)
|Duration||Part time 2, 3 or 4 years|
Data Science enables organisations to uncover deep insights and gain a competitive edge by making sense of massive data sets.
This professional programme has been developed in partnership with world-leading, global data companies and is uniquely taught at their offices in the UK and overseas.
Designed specifically for professionals already working with data, the programme allows companies and individuals to acquire the skills necessary to meet sophisticated demands of deep insight generation, across any dataset.
Featuring intensive week-long residentials, this programme is ideal for working professionals, enabling graduate-level career development, without the risk of leaving your job.
The programme is flexible and can be delivered over 2,3 or 4 years, with assessment tailored to relevant projects in your company.
Benefits for students
Broaden your career prospects
Gain skills to revolutionise your organisation’s decision making
Expand your professional network
Study at the offices of world-class companies, without leaving employment
Benefits for employers
Transform your data into insight and competitive advantage
Acquire in-house expertise, without recruiting
Intensive and flexible part-time delivery affords minimum disruption to your business
Exceptional opportunity to include in talent management programmes
Taught in short, intensive blocks at world-leading companies, this innovative programme can be studied across either 2, 3 or 4 years allowing learning flexibility around work or other commitments. Studying alongside other professionals, this is also an excellent opportunity to widen networks and build connections with peers across multiple industries.
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
The programme is taught by blended learning; online learning resources combined with teaching residentials, company visits and practical assignments. You are provided with comprehensive course materials and supported by university staff through a range of online activities. Face-to-face tutorials and feedbacks sessions take place during residential courses, which take place termly.
All modules are assessed by diverse assignments aligned with industry needs and expectations such as management style reports, project group activities and including group and individual presentations. Some assessments will be undertaken at residentials including more formal assessment types. As a student you will have access to learning support staff who are available to help, assist and guide you through the programme.
The course has been designed to meet the needs of companies and individuals wishing to take advantage of the explosion in big data. The teaching approach, technical content and assessments reflect the role of the data professional across many industries. All course content is taught in context, allowing students to enhance their professional experience while studying.
Our innovative approach to postgraduate learning engages academics and students with national and global companies leading in the use of data.
Entry requirements 2017
A good honours degree in a numerate subject from a recognised university.
Students are expected to enter this programme with some programming ability (e.g. Python, IDL, Fortran, Matlab, C++, C, Java)
Fees and funding
Tuition fees per year 2017/18
- UK/EU: £25,800
- International: £25,800
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 £10,000 are now available for Masters degrees. Find out more about eligibility and how to apply.
We welcome enquiries about the course. For further information contact:
Phone: +44 (0) 1392 724061