Become a proficient data scientist with a master’s in Data Science at the University of Southampton.
You’ll study the latest techniques and technologies, including data mining, machine learning, and data visualisation. By the end of your studies, you’ll be able to develop original ideas and solve problems using advanced data science methods. You can apply what you have learned in fields such as data journalism, open government and social media.
Data scientists help organisations handle large amounts of data produced by digital technologies. Southampton is recognised around the world as a leader in many of the topics that form our data science curriculum. We offer one of the only data science master's programmes in the UK that covers every subject needed to become a skilled data scientist in industry, government or academia.
Our module teachers use their latest research to inform their teaching in emerging topics like:
Module options are flexible, so you can pursue your interests and adapt the programme to prepare you for your ideal career. We’ll also give you access to dedicated project labs, computer workstations, and infrastructure for large-scale analysis.
We regularly review our courses to ensure and improve quality. This course may be revised as a result of this. Any revision will be balanced against the requirement that the student should receive the educational service expected. Find out why, when, and how we might make changes .
Our courses are regulated in England by the Office for Students (OfS).
This is a full-time master’s course. You’ll study for 12 months, from September to the following September.
In the first 9 months (semesters 1 and 2) you'll study the taught part of your course.
This is made up of modules that everyone on the course takes, and modules we’ll ask you to choose from a list of options. You'll take exams at the end of both semesters.
You’ll also begin preparing for your final project during semester 1, and continue this work in semester 2.
For the last 3 months, over the summer, you’ll work independently to research and write your dissertation. You’ll have one-to-one meetings with your supervisor during this time to discuss your progress.
Want more detail? See all the modules in the course.
You’ll need a 2:1 degree in computer science or a closely related subject:
You must also have a 2:1 in the following:
Find the equivalent international qualifications for your country.
For further details of our admission process, read our step by step guide to postgraduate taught applications .
The deadline to apply for this course is Wednesday 1 September 2027, midday UK time.
We advise applying early as applications may close before the expected deadline if places are filled.
The deadline to apply for this course is Wednesday 18 August 2027, midday UK time.
We advise applying early as applications may close before the expected deadline if places are filled.
| QS 综合 | 院校 | 学制 | 学费 |
|---|---|---|---|
| 第 8 位 | 伦敦大学学院University College London | 1年 | 48600英镑/年 |
| 第 8 位 | 苏黎世联邦理工学院ETH Zurich | 2年 | 1460瑞士法郎/年 |
| 第 12 位 | 南洋理工大学Nanyang Technological University | 1年 | 65749新币/年 |
| 第 18 位 | 香港中文大学（深圳）The Chinese University of Hong Kong, Shenzhen | 2年 | 159000人民币/年 |
| 第 22 位 | 洛桑联邦理工学院EPFL | 2年 | 1460瑞士法郎/年 |
| 第 35 位 | 爱丁堡大学The University of Edinburgh | 1年 | 47680英镑/年 |
| 第 37 位 | 伦敦国王学院King's College London | 1年 | 42900英镑/年 |
| 第 52 位 | 香港城市大学City University of Hong Kong | 1年 | 342000港币/年 |