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Data Science and Analytics MSc

Key information
DATA SOURCE : IDP Connect

Qualification type

MSc - Master of Science

Subject areas

Informatics Data Analysis

Course type

Taught

Course Summary

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. 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 programme will equip students with the knowledge and skills they need to meet the challenges of data science in the modern world. 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. Assessment is by a range of methods, including formal examination, assignments, coursework, reports and practical activities. 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.

Different course options

Study mode

Full time

Duration

1 year

Start date

SEP-19

Modules

The aim of the module is for students to understand methods of analysis that allow people to gain insights from complex data. The module covers the theoretical basis of a variety of approaches, placed into a practical context using different application domains.

Tuition fees

UK fees
Course fees for UK / EU students

For this course (overall cost)

£10,500

Average for all Postgrad courses (per year)

£5,202

International fees
Course fees for non-UK / EU students

For this course (overall cost)

£24,000

Average for all Postgrad courses (per year)

£12,227

Entry requirements

Students need 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.