The global demand for economics graduates with advanced data science skills continues to grow rapidly in the modern economy. Public and private sector organisations are increasingly relying on data science to offer new insights on issues in economics, econometrics, and finance. At the same time, governments and central banks use data science techniques to inform the formulation and evaluation of economic policy.
Our MSc Economics and Data Science offers comprehensive training in the use of data science methods to analyse economic issues. You will cover economic and data science theory, methods and techniques, and applications to real-world problems.
The course combines rigorous training in key principles with some flexibility to tailor your studies to specific areas of interest in economics. Your core training will cover:
Areas of specialisation through optional course units include:
See a full list of mandatory and optional course units below.
With hands-on training and a focus on practical application, this course is designed to prepare you for a successful career in a variety of roles, for example as an economist, data analyst, researcher, or consultant, in leading organisations across government, banking / finance, or the private sector.
This course is eligible for the 1+3 studentship offered by the Economic and Social Sciences Research Council (ESRC) North West Social Sciences Doctoral Training Partnership (NWSSDTP), offering a unique, fully-funded route into postgraduate research. If your application is successful, you’ll be able to seamlessly transition from master's-level study to a PhD. Find out more on our 1+3 ESRC NWSSDTP webpage .
A prestigious department
The University of Manchester is a leading centre for economics and research-led teaching. Many famous names from the world of economics have worked and studied here at Manchester, including four Nobel Prize winners. Graduate students from across the globe come here to study economics, attracted by our first-class postgraduate training and supervision in the core and specialist areas of the subject.
Real-world impact
We put theory into practice. Our academics and students are dedicated to shaping economic research, policymaking and practice nationally and internationally. We work closely with government, organisations, and businesses to advise and effect meaningful change.
Cross-disciplinary approach
Your curriculum integrates data science techniques from across several disciplines to promote state-of-the-art empirical analysis in economics.
A UK 2:1 honours degree (or overseas equivalent) in economics or another quantitative subject, such as mathematics, physics or computer science. This training must include a significant number of mathematical, econometrics and/or statistical courses, including advanced options in which top-level marks have been achieved, and a solid background in a statistical programming language such as R, Python, Julia or MATLAB.
For applicants with a degree in subjects other than economics, a significant exposure to economics courses is required.
When assessing your academic record, we consider the grades you have achieved and the standing of the institution where you studied your qualification.
| QS 综合 | 院校 | 学制 | 学费 |
|---|---|---|---|
| 第 57 位 | 布里斯托大学University of Bristol | 1年 | 34500英镑/年 |
| 第 68 位 | 华威大学The University of Warwick | 1年 | 32960英镑/年 |
| 第 97 位 | 诺丁汉大学University of Nottingham | 1年 | 31700英镑/年 |
| 第 273 位 | 苏塞克斯大学University of Sussex | 1年 | 25700英镑/年 |
| 第 381 位 | 东英吉利大学University of East Anglia | 1年 | 23850英镑/年 |
| 第 438 位 | 埃塞克斯大学University of Essex | 1年 | 25925英镑/年 |