Taught course

Econometrics and Economics

University of York · Department of Economics and Related Studies

Entry requirements

An undergraduate degree equivalent to class 2:1 or higher UK degree in a discipline with sufficient background in econometrics and economics will be considered. Strong background in mathematics or statistics will be advantageous. Applicants are invited to provide a brief description (in the Personal Statement) of any econometrics, micro/macro economics, mathematics and statistics courses taken as part of their undergraduate (and postgraduate if any) degree studies, detailing core texts used. A paragraph for each course unit taken will be sufficient. If you are a non-native English speaking applicant you must provide evidence of your English language ability. You need to show enough fluency in all aspects of English (reading, writing, speaking and listening) to the required level of the course you're applying to.

Months of entry


Course content

The aim of this programme is to give students with a prior knowledge of economics and econometrics and/or mathematics a thorough grounding in applied and theoretical econometrics with core course in advanced economic and econometric theory, and a wide choice of optional modules.

The modules are taught by leading experts in related areas such as microeconometrics, panel data analysis, time series, spatial econometrics and non-parametric modelling. The programme provides the essential skills to those wishing to follow professional careers and to pursue further research in applied economics and econometrics.

Information for international students

York is a research-intensive university and a proud member of the elite Russell Group of universities. Information about international fees can be found on our website.

Fees and funding

Department and University scholarships may be available, please check our website for details: Fees and funding

Qualification and course duration


full time
12 months

Course contact details

Postgraduate Administrator
+44 (0) 1904 323759