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Master of Science - Data Science
The MSc Data Science will prepare students with the skills they need to work in the rapidly growing data science sector.
As technology advances, the ability to generate, capture and analyse data from a range of sources and for a range of applications is vital across numerous industries. The University of Roehampton's MSc Data Science is designed to ensure students can apply critical mathematical thinking to various kinds of data, meaning that the degree will be of value in financial, social, policy and commercial settings in the world of work.
The programme will cover data analysis, machine learning, and visualisation, as well as the necessary technical skills to thrive in industry. Students will also be equipped with the skills needed to stay abreast of changes in the field and to work in ways that are commercially, ethically, and legally appropriate.
Students will begin by taking modules in programming, data analytic techniques and the fundamentals of mathematics for data science. These skills are then developed and applied in machine learning, data visualisation and data engineering, the three planks of data science. Students will benefit from an emphasis on real world work flows and application of technique, using case studies and working with real data sets. Students will then have a chance to consolidate and demonstrate the skills they have acquired throughout the year in their final project.
The MSc Data Science follows an active blended learning style, with lectures replaced by videos and workshop/seminars. The aim is to provide students with an environment focused on collaborative learning, through the development of innovative studio-style lab spaces that feel like home. The lab material students will study will enable them to work in the studio environments that they will experience in the real-life working environments.
Requirements
Listed below are the documents required to apply for this course.
4-Year Bachelor's Degree
70.0 %
Total: 6.5
Reading
5.5
Writing
5.5
Listening
5.5
Speaking
5.5
Total: 89.0
Reading
18.0
Writing
17.0
Listening
17.0
Speaking
20.0
Total: 59.0
Reading
59.0
Writing
59.0
Listening
59.0
Speaking
59.0
This program offers conditional admissions For conditional admission, you are required to provide English proficiency scores: Min IELTS overall: 4.5 Min Listening: 4, Min Reading: 4, Min Speaking: 4, Min Writing: 4.5
Program Level
Program Length
Tuition fee
Application fee
Upcoming Intakes
- Sep 2025
- Jan 2025
- Sep 2026
- Jan 2026