UCL Department of Economics


MSc Economics

Programme structure and module options

Term 1

Research methods course2 week intensive course in Mathematics and Statistics which takes place in the first two weeks of term before core courses begin.

Three core courses, each consisting of 4 hours of lectures and a 1 hour small group class per week. 


Term 2

Research methods course: 1 week course covering, academic writing skills, empirical and econometric skills and software workshops including Matlab, Eviews and Stata.

Four optional modules across List A: Applied options AND List B: Advanced Core options. Students who plan to proceed to PhD-level study are advised to take two or more modules from List B: Advanced Core options. In particular, students who take at least two modules from List B: Advanced Core options will qualify for a conditional offer upon applying to the UCL MRes/MPhil/PhD Economics programme.

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Core modules

Microeconomics -  ECON0065

Macroeconomics - ECON0066

Econometrics - ECON0064

Research Methods - ECON0080

List A: Applied options

Time Series Econometrics - ECON0058 

Public Microeconomics - ECON0061

Topics in Labour Economics - ECON0062

Topics in Money and Finance - ECON0063

Economics of Development - ECON0105

Health Economics - ECON0069

Applied Policy Analysis - ECON0075

Agenda Setting and Public Policy - PUBL0027

Programme Evaluation for Users - ECON0070

Empirical Industrial Organisation - ECON0072

Behavioural Economics - ECON0102

International Trade - ECON0120

Macroeconomic Policy - ECON0073

Ethics in Welfare Economics - ECON0074

Environmental Economics: Principles and Policy - ECON0077

International Political Economy - PUBL0004 


List B: Advanced core options

Advanced Macroeconomic Theory - ECON0057

Time Series Econometrics - ECON0058 (this module can be taken either as a list A or as a list B option)

Advanced Microeconomic Theory - ECON0059

Advanced Microeconometrics - ECON0060



All core and optional courses are assessed by a final exam in May/June (Term 3).  For the maths and stats course, students take the final examination at the end of the two-week intensive course, in September.  Although weekly problem sets are marked and feedback is given,  they do not play any part in the final assessment.  

June – September


Research methods course covering academic writing skills, Empirical and Econometric skills and software workshops (Matlab, Eviews and Stata).