The programme requires proficiency in higher mathematics: Multivariable calculus, Basics of optimization; Linear Algebra; Convex analysis and Kuhn-Tucker theorem; Theory of probability and statistics.
We require that your previous degree contain minimum three courses in higher mathematics, including one from the list: probability theory, mathematical statistics, econometrics, random processes. Average grade at least В (75%) or equivalent.
Alternatively, GRE Subject test in Mathematics ≥600 points is accepted as the proof of good mathematical skills.
Candidates are also expected to be familiar with fundamental economics; and have the level of English language skills advanced enough to take English-taught courses (IELTS 6.0+ equivalent).
Mathematics for Economists
- Simon / Blume “Mathematics for Economists” (W.W. Norton, 1e: 1994)
- Reny / Jehle “Advanced Microeconomic Theory” (Addison-Wesley, 2e: 2000)
- Varian “Microeconomic Analysis” (W.W. Norton, 3e: 1992)
- Romer “Advanced Macroeconomics” (McGraw-Hill, 2e: 2001)
- Barro “Macroeconomics” (MIT Press, 5e: 1997)
- Williamson “Macroeconomics” (Pearson, 5e: 2013)
- Wooldrige “Introductory Econometrics: A Modern Approach” (SW College Publishing, 2000)
- Johnston / DiNardo “Econometric Methods” (McGraw-Hill, 4e: 1997)
- Bodie / Kane / Marcus “Essentials of Investments” (McGraw-Hill, 9e: 2012)
- Hull “Options, Futures, and Other Derivatives” (Prentice Hall, 12e: 2012)
- Tirole “The Theory of Corporate Finance” (Princeton University Press, 2012)
To be prepared for the ICEF Master’s programme we suggest that you participate in the ICEF Master’s Bridge Courses. The project focuses on transition to the master’s level of studies in economics and finance. The courses are taught at an advanced BSc level of difficulty and are intended for students who need a refresher of the material before starting the MSc programme and /or have an undergraduate degree in a field other than economics and finance. A student may take any number of modules depending on his/her academic needs.