Program Details
Why to Choose Our Program
"I greatly improved my quantitative and qualitative analytical skills and gained deeper understanding of financial econometrics. This was essential training for an economist working at a central bank."
Sevinj Gahramanova, Graduate of 2012, Analyst at the Strategic Management Department, Central Bank of Azerbaijan
The MA in Applied Economics is a 1-year tuition-based US program in English with a focus on data science. During that year our students become curious, impact-driven personalities able to crunch the numbers and face real-world challenges.
4 Reasons Why This Program is the Right One for You:
Focus on data science: Curriculum anchored in data analysis and cooperation with business clients on real-life projects.
US degree in 1 year in Prague: 3 intensive semesters in an international community of students in one of the top European economic research institutions.
Individual approach: Small group setting with an individual approach and tailored career services, including mentoring and coaching.
Fast track to employment: 100% of alumni are employed in the field within 6 months of graduation.
Program Structure and Faculty
Curriculum
To graduate from the Master in Applied Economics program, students need to
- Pass all 5 core courses (Applied Microeconomic Analysis, Macroeconomic Policy Analysis, Quantitative Methods I, Quantitative Methods II, Project Seminar)
- Pass at least 7 elective courses (see list below)
- Pass all Communication for Impact courses
- Pass all pass/fail courses (Math Review, Introduction to R, Personal and Professional Development)
- Achieve a cumulative GPA of above 1.75
- Pay all tuition fees
Core Courses
Applied Microeconomic Analysis
This course aims to introduce students to economic fundamentals like preferences, costs, demand and supply, perfect and imperfect competition, monopoly, oligopoly, and market failure. These fundamentals are critical to understanding how markets work, to design successful business strategies and policies that increase social welfare.
Instructor: Andreas Menzel, PhD.
Macroeconomic Policy Analysis
In this course, students learn to think and analyze real world phenomena, such as economic growth, business cycles and the role of economic policy through the lens of state-of-the-art macro models, such as general equilibrium models built from explicit micro foundations.
Instructor: Ctirad Slavik, PhD.
Quantitative Methods I and II
The first part of this sequence series will provide students with knowledge of the elements of statistical inference, namely multivariate statistics and multivariate data analysis methods. Topics in the second part include non-linear regression functions, instrumental variables regression, regression with panel data, and regression with a limited dependent variable. Upon completion, students will understand and be able to perform standard descriptive and inferential data analysis, investigate and test the relationship between variables as well as specify, use and interpret multivariate models. These techniques are widely used in economic research carried out in governmental institutions, international organizations, central banks, as well as in the financial and business environment. Both courses will also emphasize empirical analysis and focus on the use of data in practice along with the use of available statistical software (R, Stata).
Instructor of QM I: Prof. RNDr. Jan Hanousek, CSc., DSc.
Instructor of QM II: Pavla Vozárová, PhD
Project Seminar
Instructor: Doc. RNDr. Filip Matějka, Ph.D.
Communication for Impact I, II and III
In the writing part, the course aims at the development of the core writing skills required to submit an effective and accurate academic and professional text. In the presentation skills part, students learn how to create a memorable message and engage with the audience. Finally, in the negotiation part students practice scenarios in which they have to defend a proposal, persuade a business partner and come up with a comprehensive solution.
Instructor: Paul Whitaker, M.A.
Elective Courses
The portfolio of the elective courses taught in the last three years includes the following courses with expert instructors:
- Corporate Finance and Valuation
Instructor: Richard Podpiera, PhD (Executive Director, Group Segment Management - Retail, CSOB)
- Development and Behavioral Economics
Instructor: Doc. Michal Bauer, PhD (CERGE-EI, Prague)
- Economics of Human Resources
Instructor: Doc. Ing. Mariola Pytlikova, PhD (CERGE-EI, Prague)
- Forecasting and Stress Testing Risk
Instructor: Olga Loiseau-Aslanidi, PhD (CERGE-EI, Prague)
- Introduction to Time Series Analysis
Instructor: Pavla Vozarova, PhD (CVUT, Prague)
- Machine Learning Techniques
Instructor: Michal Kubista (Senior Technological Officer, Nielsen A.G.)
- Monetary Theory and Policy
Instructor: Branislav Saxa, PhD (Principal Economist, Czech National Bank)
- Public Finance
Instructor: Radka Stikova, PhD (Principal Economist, Czech National Bank)
- Time Series Applications in Finance
Instructor: Iuliia Brushko, PhD (Risk Modeling and Analytics Specialist at UBS)
- Topics in Macroeconomics
Instructor: Jose Luis Luna Alpizar, PhD (CERGE-EI, Prague)
Downloads
- Program Leaflet
- Sample class schedule for Fall Semester, Spring Semester, and Summer Semester.
- Full MA in Applied Economics academic calendar for 2020-2021.