Course summary
Our MSc in Economics and Data Science is for students in Economics who would like to specialise in Data Science and Machine Learning through a postgraduate-level degree. The course links economic theory and empirical economics with the fast-developing field of Data Science. You will acquire knowledge and skills in statistical (machine) learning, and use these in your study of applications in macroeconomic and microeconomic theory, econometrics and big data. An 8,000-word dissertation provides an opportunity to explore your own interests across these fields of study. You will be automatically enrolled on a pre-sessional Mathematics and Statistics programme to equip you with the relevant methodological skills you need to succeed. By the end of the course, you will be experienced in working with large amounts of data to generate new findings and insights relevant to problems in economics. You will also be proficient in standard coding languages, like R and Python, to work on those problems.
Assessment method
For MSc students, assessment is through formal examinations, coursework and an individually supervised research dissertation. Feedback is a vital part of the assessment process, as it helps you to reach your full potential by identifying the strengths and weaknesses of your work and the actions needed to develop your understanding and enhance your performance. Feedback is provided in a variety of ways, including:
- Grades and comments on marked work
- Solutions to problem sets
- Verbal feedback from tutors and peers in classes
- Advice and Feedback hours with academic staff
Entry requirements
2:1 undergraduate degree (or equivalent) specialising mainly in economics. This means you should have achieved a good standard in undergraduate courses in microeconomics and macroeconomics, with a First (or equivalent) in econometrics/economic statistics, at an intermediate level. We also expect a good standard achieved in mathematics taken at undergraduate level.
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
Please visit the University of Warwick website for the tuition fees for postgraduate courses:
https://warwick.ac.uk/study/postgraduate/funding/fees
Sponsorship information
We offer a variety of postgraduate funding options for study at the University of Warwick, from postgraduate loans, university scholarships, fee awards, to academic department bursaries. It's important that you apply for your postgraduate course first before you apply for a University of Warwick scholarship. Please visit the University's scholarship webpages.
Provider information
University of Warwick
Coventry
CV4 7AL