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Overview

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 people who can manage and control the way data is used. These individuals require an understanding of computer science and mathematics, as well as a familiarity with the data needs and processes of a number of different areas, including healthcare, business, government and the environment.

The Data Science and Analytics MSc is a highly flexible course which offers you the opportunity to develop a range of skills through a combination of compulsory and optional modules, including:

  • analysing structured and unstructured data
  • analysing large datasets
  • critically evaluating results in context
  • getting insights from data

The course combines expertise from the Schools of Computing, Geography and Mathematics with that of Leeds University Business School. By choosing the appropriate modules, you can follow specific pathways in business management, healthcare or geographic information systems (GIS).

This collaboration allows you to benefit from a range of data science perspectives and applications, allowing you to tailor the course to match your own career ambitions.

Course content

The programme will equip students with the knowledge and skills they need to meet the challenges of data science in the modern world.

Students on this programme will be benefit from being taught by experts from different academic units: the School of Mathematics; the School of Computing; the School of Geography and Leeds University Business School.

Modules can be chosen from each of these areas. Mathematics modules are available for students who are not from a mathematics/statistics background, while Computing modules will be suitable for students on this programme who are not from a computer science background.

The programme will introduce you to different perspectives on data science, including the mathematical and computational underpinnings of the subject and its applications in specific contexts.

Your dissertation will enable you to span academic disciplines with supervision from both area. For this project you will interpret a real-world problem, covering data elucidation, analysis, and application, building the key skills you will use in a professional or academic career.

Course structure

The list shown below represents typical modules/components studied and may change from time to time. Read more in our Terms and conditions.

Modules

Year 1

Compulsory modules

  • Data Science
  • Learning Skills through Case Studies
  • Dissertation in Data Science and Analytics

Optional modules (selection of typical options shown below)

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.

Applying, fees and funding

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

Application deadlines

31 July 2019 - International applicants

31 August 2019 - Home/EU applicants

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.

Fees

  • UK/EU: £10,500 (total)
  • International: £24,000 (total)

Read more about paying fees and charges.

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

Additional cost information

There may be additional costs related to your course or programme of study, or related to being a student at the University of Leeds. Read more about additional costs

Scholarships and financial support

The School of Mathematics offers a range of scholarships for UK, EU and International students.

Find out more about our Scholarships.

Career opportunities

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, data scientists will become increasingly important, with a 2017 report by IBM forecasting that demand for people with these skills will rise by 28% by 2020


Visit the Data Science and Analytics MSc page on the University of Leeds website for more details!

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