In a digital and data-rich world, organisations across industry, the public sector and research need people who can combine programming with statistical analysis, data management and careful interpretation to turn complex data into usable evidence.
This programme combines rigorous statistical training with practical data science. You will study frequentist and Bayesian methods, computational statistics, regression modelling, and statistically defensible approaches to data collection, management and curation. You will also develop practical skills in programming, data analysis and communication, so that you can turn complex data into clear, usable evidence.
A major feature of the programme is its applied, consultancy-style dissertation format. In the summer, you will complete two back-to-back case projects in different application areas. This gives you the chance to work on realistic briefs, build breadth across more than one sector, and develop the confidence, resilience and communication skills needed in professional data science roles.
Edinburgh offers a strong environment for this training through the School of Mathematics, a broad optional-course portfolio, and links with external organisations across industry and the public sector.
In this video our academic staff and students outline what to expect as part of a Masters in the area of Statistics.
To find international equivalent qualifications, select where you studied from the country or region list.
| QS 综合 | 院校 | 学制 | 学费 |
|---|---|---|---|
| 第 125 位 | 巴斯大学University of Bath | 1年 | 29700英镑/年 |
| 第 230 位 | 斯特拉斯克莱德大学University of Strathclyde | 1年 | 28500英镑/年 |