Mathematical Economics And Econometrics MSc

The Masters in Mathematical Economics and Econometrics enables students who have a strong quantitative background in subjects such as mathematics, physics, engineering and computer science, to acquire a Masters level understanding of economics. 

The programme is also open to economics students who would like to deepen their grasp of the quantitative aspects of economics.

It is an intensive programme providing a thorough grounding in the latest research methods in economics and econometrics.

Our programme will prepare you for undertaking a career as a professional economist. It may also be of interest to those planning to enter an international-level PhD programme.

Programme Structure:

• The programme is delivered on site at the central campus of the University.
• The programme covers standard postgraduate level microeconomics, macroeconomics and econometrics, building up from the foundations of these three subjects. Students with strong quantitative but limited economics background will be required to complete a course in the foundations of these three subjects (in August prior to the start of the programme).
• Students will also be able to select other advanced courses and attend workshops in specialised areas. The 130 credit coursework component is followed by a 50 credit dissertation.
• You will be taught by experienced academics based at the University. Many courses are shared with our existing Masters in economics, and some of these are taught by academics from other leading Scottish universities.
• The programme begins in early September (but students who require foundational courses begin in early August), and the dissertation submission deadline is in August.

• an understanding of topics in microeconomics, macroeconomics, and econometrics at an advanced level
• a broad knowledge of key economic and social issues, as well as the principles and models required to proceed to a career as a professional economist in the private or public sector
• the ability to apply knowledge of advanced economics as well as relevant mathematical and statistical techniques to evaluate recent research and issues at the forefront of the discipline