Course summary
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:
- Economic theory;
- Econometric methods;
- Data science and machine learning;
- Programming and other data science skills.
- Financial econometrics;
- Healthcare economics;
- Economics of environmental policy.
Entry requirements
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.
English language requirements
| Test | Grade | Additional details |
|---|---|---|
| IELTS (Academic) | 7 | IELTS Academic test score of 7 overall, including 7 in writing with no further component score below 6.5 |
| TOEFL (iBT) | 100 | TOEFL IBT 100 with 25 in writing and no further score below 22 in each section. TOEFL code for Manchester is 0757 |
Applicants whose first language is not English should meet the following language requirements: IELTS Academic test score of 7 overall, including 7 in writing with no further component score below 6.5 TOEFL IBT 100 with 25 in writing and no further score below 22 in each section. TOEFL code for Manchester is 0757 Pearson Test of English (PTE) score of 76 overall, with 76 in writing and no further score below 70 Pre-Sessional English Courses We will consider applicants who do not meet these scores but you will be required to complete a pre-sessional English language course at the University of Manchester prior to the start of the course. To be considered for a pre-sessional English language course for this programme we require the following minimum IELTS (Academic) scores: 6 Week Pre-Sessional Course : IELTS 6.5 overall with 6.5 in writing and no more than one sub-skill of 6.0. 10 Week Pre-sessional Course : IELTS 6.0 overall with 6.0 or above in each sub-skill If you have not yet completed your current academic study and are interested in studying a pre-sessional course, you must hold an IELTS for UKVI (Academic) test certificate to ensure that you are eligible for a separate visa for the English language course.
Fees and funding
Tuition fees
No fee information has been provided for this course
Tuition fee status depends on a number of criteria and varies according to where in the UK you will study. For further guidance on the criteria for home or overseas tuition fees, please refer to the UKCISA website .
Additional fee information
No additional fees or cost information has been supplied for this course, please contact the provider directly.
Provider information
University of Manchester
Oxford Road
Manchester
M13 9PL