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Data Science and Analytics MSc

(Full time) 2017/18

MSc Data Science and Analytics

We are surrounded by data. The variety and amount we collect and store grows every day, from the simplest of retail transactions to the complex and intimate medical records of millions.

Why do we store data? Where do we store it? How do we retrieve it? What do we use it for?

There is an increasing demand for individuals who can manage and control the way data is used. These individuals require an understanding of computer science and mathematics as well as a range of sector specific skills which can be applied in a variety of business environments.

The Data Science and Analytics MSc is a highly flexible course which offers the opportunity to develop a range of skills, including analysing structured and unstructured data, analysing large datasets and critically evaluating results in context, through a combination of compulsory and optional modules. By choosing appropriate modules you can follow specific pathways, in business management, healthcare or geographic information systems (GIS), which will allow you to tailor the programme to suit your background and needs.

The course combines expertise from the Schools of Computing, Geography and Mathematics with that of Leeds University Business School and the Yorkshire Centre for Health Informatics. This collaboration allows you to benefit from a range of data science perspectives and applications, supporting you to tailor your learning to your career ambitions.

The programme will equip students with the necessary knowledge and skills in data science.

Students on this programme will be benefit from being taught by experts from different academic units: the School of Mathematics (SoM); the School of Computing (SoC); the Yorkshire Centre for Health Informatics (YCHI); the Faculty of Medicine and Health (FoM); the School of Geography (SoG) and Leeds University Business School (LUBS).

Modules are available from each of these areas and in addition there are three new modules available in the SoM for students who are not from a mathematics/statistics background, while modules in the SoC will be suitable for students on this programme who are not from a computer science background.

The programme will therefore expose students to different perspectives on data science, including the mathematical and computational underpinnings of the subject and practical understanding of application in a specific context. In particular, we anticipate many projects for the dissertation will span at least two units with joint supervision. As well as emphasizing the application nature of the programme, the dissertation will feature strongly data elucidation, analysis, and interpretation of real-world problems.

Course structure

These are typical modules/components studied and may change from time to time. Read more in our Terms and conditions.

For more information on typical modules, read Data Science and Analytics MSc in the course catalogue

Learning and teaching

Teaching is by lectures, tutorials, seminars and supervised research projects.

Assessment

Assessment is by a range of methods, including formal examination, assignments, coursework, reports and practical activities.

Entry requirements

A 2:1 (hons) bachelor degree with a substantial numerate component. This may include degrees in mathematics, statistics, economics, engineering, or a physical science subject.

We accept a range of international equivalent qualifications. For information please contact the School of Mathematics admissions team.

English language requirements

IELTS 6.5 overall, with no less than 6.0 in all components. For other English qualifications, read English language equivalent qualifications.

How to apply

UK/EU applicants 10 September 2017

International applicants 31 July 2017

Apply

This link takes you to information on applying for taught programmes and to the University's online application system.
 
If you're unsure about the application process, contact the admissions team for help.

Read about visas, immigration and other information in International students. We recommend that international students apply as early as possible to ensure that they have time to apply for their visa.

Admissions policy

Faculty of Mathematics and Physical Sciences Taught Postgraduate Admissions Policy

Fees

UK/EU: £8,500 (total)

International: £19,000 (total)

Read more about paying fees and charges.

For fees information for international taught postgraduate students, read Masters fees.

Scholarships and financial support

There is increasing demand for individuals who can manage and control the way data is used. These individuals require an understanding of computer science and mathematics as well as a range of sector specific skills.

The emerging era of ‘big data’ brought about by the digital technology revolution shows no signs of abating. In this era, demand for data scientists will continue to grow, with one report forecasting a shortage of 140,000 – 190,000 data scientists by 2018 in the US alone.

Careers support

We encourage you to prepare for your career from day one. That’s one of the reasons Leeds graduates are so sought after by employers.

The Careers Centre and staff in your faculty provide a range of help and advice to help you plan your career and make well-informed decisions along the way, even after you graduate. Find out more at the Careers website.

Key facts

Start date:
September 2017

Duration/Mode:
1 year full time

UK/EU fees:
£8,500 (total)
International fees:
£19,000 (total)

Entry requirements:
A bachelor degree with a 2:1 (hons) with a substantial numerate component

Language requirements:
IELTS 6.5 overall, with no less than 6.0 in all components

Apply

Contact us:
School of Mathematics Admissions Team
+44 (0)113 343 0945
maths-msc@leeds.ac.uk