The course takes a broad-based approach to statistics, providing up‑to‑date training in major applications and an excellent balance between theory and practice. It covers modern ideas in statistics, including applied Bayesian methods, generalised linear modelling and object‑oriented statistical computing, together with a grounding in traditional statistical theory and methods.
The course is also flexible. By selecting an appropriate combination of optional modules and a suitable research project, students may choose to specialise in areas such as biostatistics, applied stochastic modelling, quantitative decision making, quantitative analysis for industry, or financial mathematics. The biostatistics pathway has been formalised as a distinct named award, the MSc in Medical Statistics and Data 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 theory and applications to enable them to enter specialist employment or academic research.
The Statistics MSc provides skills that are currently highly sought after. Graduates receive advanced training in methods and computational tools for data analysis that companies and research organisations value. For instance, the new directives and laws for risk assessments in the banking and insurance industries, as well as the healthcare sector, require statistical experts trained at graduate level. The large amount of data processing in various industries known as “data deluge” also necessitates cutting-edge knowledge in statistics. As a result, our recent graduates have been offered positions as research analysts or consultants, and job opportunities in these areas are increasing.
Graduates of the Statistics MSc in UCL Statistical Science progress into professional roles such as statistician, quantitative/risk analyst, data analyst and statistical programmer across a wide range of sectors, or pursue further academic study.
Typical sectors include financial services banking, investment and accountancy, technology IT and telecommunications, consultancy and higher education and research. Employers of recent cohorts include the Office of National Statistics, Deloitte LLP, Vanguard and Willis TowersWatson. 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 UK and EU graduates in the 2018–2024 cohorts.
| QS 综合 | 院校 | 学制 | 学费 |
|---|---|---|---|
| 第 2 位 | 帝国理工学院Imperial College London | 1年 | 44800英镑/年 |
| 第 8 位 | 苏黎世联邦理工学院ETH Zurich | 1.5年 | 1460瑞士法郎/年 |
| 第 10 位 | 新加坡国立大学National University of Singapore | 1年 | 52320新币/年 |
| 第 32 位 | 多伦多大学University of Toronto | 3 个学期（全日制），注册序列 FWS；6 个学期（非全日制） | - |
| 第 37 位 | 伦敦国王学院King's College London | 1年 | 42900英镑/年 |
| 第 40 位 | 曼彻斯特大学The University of Manchester | 1年 | 39200英镑/年 |
| 第 45 位 | 不列颠哥伦比亚大学University of British Columbia | 平均 1.7 年（最短 1 / 最长 3.7） | 10,081.65 加元（国际生首年学费；本国生 5,738.52） |
| 第 56 位 | 马来亚大学Universiti Malaya | 1年 | 25400马币/年 |