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, Head of 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
- Pass all Communication for Impact courses
- Pass all pass/fail courses (Math Review, R for Econometrics, 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, Ph.D.
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 Slavík, Ph.D.
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, Ph.D.
Project Seminar
The purpose of the project seminar is for students to use their data-analytical abilities to solve problems in a real world setting. Students will divide themselves into small teams, each team working for a real world client coming from business, public or NGO sphere. Our past clients included Cogvio (health care information startup), Moody’s Analytics, Nielsen A.G (marketing data company), Liftago, ČSOB bank or Platform for social housing Brno. Read more about the previous projects in out blog.
Over the course of one semester, students will cement their abilities to problem solve, analyze data, communicate with a client, coordinate projects, and work in a team setting. They will be mentored by both internal faculty and mentors appointed by the client. Their final output will be presented both to clients as well as during a public presentation held at the end of semester, and evaluated by a jury.
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
Students need to take 7 electives classes to complete their studies. Each year a list of offered electives is slightly different, in accordance with students' interest and professors' availability. The portfolio of the elective courses taught in the last three years includes the following courses:
- Corporate Finance and Valuation
- Development and Behavioral Economics
- Forecasting and Stress Testing Risk
- Human Resources Economics
- Introduction to Time Series Analysis
- Machine Learning Techniques
- Monetary Theory and Policy
- Policy Evaluation
- Strategic Thinking: Theory and Practice
- Time Series Applications in Finance
- Topics in Applied Finance
- Topics in Macroeconomics
Download short description of electives courses.
Downloads
- Program Leaflet
- Sample class schedule for Fall Semester, Spring Semester, and Summer Semester.
- Full MA in Applied Economics academic calendar for 2021-2022.
- Student Handbook