Ready to turn data into decisions that drive industries forward? Develop real-world skills in data science, AI and machine learning and graduate ready for employers across tech, finance and healthcare. Data science is driving global economic activity across healthcare, finance, technology, bioscience, energy and beyond, and the demand for people who can lead that change has never been greater. Bath's MSc Data Science is built for graduates with a strong numerate background who are ready to take that next step. You will build practical skills in machine learning, statistical modelling, data engineering and programming, gaining the computational tools and mathematical foundations to tackle the complex challenges modern data science demands. Gathering, processing and analysing data at scale, you will work on projects informed by our industry partnerships, and develop the analytical confidence that employers across various sectors are actively competing to hire. Our graduates are now working as data scientists, data analysts and machine learning engineers at organisations including Amazon Video, PayPal, JP Morgan, Expedia Group, IBM and Deloitte. Register your details to watch our short taster lectures and get a taste of the high-quality teaching on our AI courses . Course highlights Study at a consistently ranked Top 10 University (The Guardian, Complete University Guide, The Times and The Sunday Times), with strong links to industry partners including Amazon Video, PayPal, JP Morgan, IBM and Deloitte.
You will need to get your English language qualification within 24 months prior to starting your course.
If you need to improve your English language skills before starting your studies, you may be able to take a pre-sessional course to reach the required level.
You should have Бакалаврын диплом (Bachelor degree) awarded after four years of study with a final overall result of at least 70%, C or 2.3 out of 4.0.
To apply for this course, your undergraduate degree can be in computer science with a strong mathematical focus, mathematics or any joint mathematics subject. Statistics, physics, astrophysics, engineering or other science degrees with sufficient baseline maths are also suitable. We'll also consider other subjects with sufficient maths content. Programming experience is an advantage.
You will need to get your English language qualification within 24 months prior to starting your course.
If you need to improve your English language skills before starting your studies, you may be able to take a pre-sessional course to reach the required level.
You should have a Diploma Visoko Obrazovanje / Diplomirani (Advanced Diploma of Higher Education), a Diploma o završenim osnovim akademskim srudijama (Diploma of Completed Academic Undergraduate Studies) or a Diploma primenjenih osnovnih studija (Diploma of Professional Undergraduate Studies) with a final overall result of at least 7 out of 10.
To apply for this course, your undergraduate degree can be in computer science with a strong mathematical focus, mathematics or any joint mathematics subject. Statistics, physics, astrophysics, engineering or other science degrees with sufficient baseline maths are also suitable. We'll also consider other subjects with sufficient maths content. Programming experience is an advantage.
You will need to get your English language qualification within 24 months prior to starting your course.
| 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 |