Course summary
This one-year MSc programme will prepare you to become a proficient data scientist, developing your specialist knowledge in subjects that are crucial for mastering the vast and ever-more complex information landscape that is characteristic of modern, digitally empowered organisations. You will gain advanced knowledge in areas such as data mining, machine learning, and data visualisation, including state-of-the-art techniques, programming toolkits, and industrial and societal application scenarios. In an era increasingly shaped by Generative AI, where data is the foundational fuel driving innovation, this programme equips you with skills to harness, analyse, and apply data effectively in this exciting new landscape.
Modules
Compulsory modules include: Data Visualisation; Foundations of Data Science; Foundations of Machine Learning; MSc Project; Machine Learning Technologies; Research Methods and Project Preparation Optional modules include: Advanced Machine Learning; Algorithic Game Theory; Bayesian, Active and Reinforcement Learning; Computational Finance; Data Mining; Deep Learning; Differentiable Programming and Deep Learning; Evolution of Complexity; Knowledge Graphs for AI Systems; Mobile Applications Development; Natural Language Processing; Optimisation for machine learning; Simulation Modelling for Computer Science, Social Media and Network Science.
Assessment method
Coursework, examinations, written project (design, development or experimental) and dissertation
Professional bodies
Professionally accredited courses provide industry-wide recognition of the quality of your qualification.
- British Computer Society
How to apply
International applicants
If English is not your first language, you will need to demonstrate your English ability by meeting our Band C requirements: IELTS 6.5 overall, with a minimum of 6.0 in all components. For information on other accepted English language tests, please see our website.
Entry requirements
You'll need a 2.1 degree in computer science, software engineering, computer engineering or maths/statistics or physics. Specific module requirements also apply. Please see website.
Fees and funding
Tuition fees
No fee information has been provided for this course
Tuition fee status depends on a number of criteria and varies according to where in the UK you will study. For further guidance on the criteria for home or overseas tuition fees, please refer to the UKCISA website .
Additional fee information
https://www.southampton.ac.uk/courses/fees/postgraduate.page
Sponsorship information
A variety of scholarships, grants and bursaries may be available to help you fund your master’s study, both from the University and from other organisations. Please check the website for more information - https://www.southampton.ac.uk/courses/funding/postgraduate.page
Provider information
University of Southampton
Highfield
Southampton
SO17 1BJ