University of Roehampton

MSc Data Science

As technology advances, the ability to generate, capture and analyse data from various sources and applications is vital across numerous industries. Our MSc Data Science teaches you how to apply critical mathematical thinking to several data types. You will have skills valuable to financial, social, policy and commercial settings.

After the programme, you can undertake an industrial placement year, allowing you to gain valuable work experience relevant to your career aspirations. We deliver all computing programmes in an active blended learning style, with most lectures replaced by workshops and seminars. Our approach provides a learning environment focused on collaborative working in practical lab spaces, immersed in an environment based on working in the IT industry. We are ranked as the best modern university in London. (Times Good University Guide 2022 and Complete University Guide 2022).

Entry Requirements

Specific entry requirements:

  • UK degrees: 2:2 STEM, preferably computer science, maths or statistics.
  • Postgraduate degrees – 6.5 overall with a minimum 5.5 in each component.

Career Prospects

We have embedded employability throughout the curriculum of MSc Data Science. You will engage with project-based learning activities and assessments that reflect real-world scenarios. Our collaborative method, team working modules, and MSc Project demonstrate our project-based approach to learning.

Data Science is a growing field with graduates in great demand and excellent prospects in FinTech, banking, management consultancies, travel and transport, utilities, and healthcare.

Course Details

The programme will cover data analysis, machine learning, and visualisation, as well as the necessary technical skills to thrive in industry. We will also equip you with the skills needed to stay abreast of data science changes and work in commercially, ethically, and legally appropriate ways.

You will begin by taking modules in programming, data analytics techniques and the fundamentals of mathematics for data science. You further apply these skills in machine learning and data visualisation. You will benefit from emphasising real-world workflows and applying techniques, using case studies, and working with real data sets. You will then have a chance to consolidate and demonstrate the skills you have acquired throughout the year in your final project.

Here are some of the modules we are currently offering:
Mathematics for Data Science
Data Analytics
Data Visualisation
Machine Learning
Data Engineering
Applications of Data Science
MSc Project
Work Placement
Placement

*The information’s are correct at the time of publishing, however it may change if university makes any changes after we have published the information. While we try our best to provide correct information, It is advisable to call us or visit university website for up to date information.

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