The course combines training in core statistical and machine learning methodology, beginning at an introductory level, with a range of optional modules covering more specialised knowledge in statistical computing and modelling. You will take one compulsory module and up to two additional modules in computer science, with the remaining modules (including the research project) taken mainly from within statistical science.
The course is accessible to students with undergraduate degrees in a related quantitative discipline (such as mathematics, statistics, economics, actuarial science), who wish to gain advanced training in statistical analysis and computation to enable them to enter specialist employment or academic research. The modules in this MSc course require computer programming in both R and Python, and most modules in computer science assume familiarity with Python coding.
Data science professionals are likely to be increasingly sought after as the integration of statistical and computational analytical tools becomes essential in all kinds of organisations and enterprises. A thorough understanding of the fundamentals is to be expected from the best practitioners. For instance, in applications in marketing, the healthcare industry and banking, computational skills should be accompanied by statistical expertise at graduate level. Data scientists need a broad background knowledge so that they will be able to adapt to rapidly evolving challenges.
Graduates of the MSc Data Science in UCL Statistical Science progress into professional, normally data-driven roles such as data scientist, machine learning engineer, data analyst and data engineer or pursue further academic study.
Typical sectors include financial services (banking, investment and accountancy), technology (IT and telecommunications) and higher education and research. Employers of recent cohorts include JPMorgan Chase & Co., Deloitte, Procter & Gamble and Huawei. Employer names are indicative and do not constitute a guarantee of employment.
Graduate Outcomes survey carried out by the Higher Education Statistics Agency (HESA), looking at the destinations of graduates in the 2017–2024 cohorts.
UCL Statistical Science has a broad range of research interests, but has particular strengths in the area of computational statistics and in the interface between statistics and computer science.
| QS 综合 | 院校 | 学制 | 学费 |
|---|---|---|---|
| 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 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 |
| 第 57 位 | 布里斯托大学University of Bristol | 1年 | 37900英镑/年 |
| 第 61 位 | 慕尼黑大学Ludwig-Maximilians-Universität München | 2年 | 128欧元/年 |