EDS study plan

  • 3 full-time years (6 semesters)
  • Classes are usually held on working days – Monday to Friday – and on weekly basis; regular attendance is expected from students
  • Total workload (credits) – 180 ECTS
  • Class format – lectures and seminars
  • A usual class duration is 90 minutes (ie two teaching hours; one teaching hour lasts 45 minutes)

Compulsory courses for 27 ECTS

Mathematics for economists (6 ECTS) – 4MM151
R and SQL for Data Analysis (6 ECTS) – 4ST607
Description and Comparison of Economic Data (3 ECTS) – 4ES103
Principles of Economics: Theory and Data I. (6 ECTS) – 4ES104
Philosophy of Science (6 ECTS) – 4SA369

 

 

 

Compulsory courses for 27 ECTS

Real Data Analysis (6 ECTS) – 4ST606
Probability and Mathematical Statistics I (6 ECTS) – 4ST621
Principles of Economics: Theory and Data II. (6 ECTS) – 4ES105
Economic Statistics (6 ECTS) – 4ES611
Banking and Financial Institutions (3 ECTS) – 1BP260

Elective courses for 6 ECTS

 

 

Compulsory courses for 27 ECTS

External Data and Information Sources (3 ECTS)- 4IT349
Business Intelligence Fundamentals (3 ECTS) – 4IT335
Data Analytics Fundamentals (3 ECTS) – 4IT338
Regression Modelling (6 ECTS) – 4EK621
Development Economics (6 ECTS) – 4ES201
Data Analysis in Python (6 ECTS) – 4ST642

Elective courses for 3 ECTS

Compulsory courses for 23 ECTS

Exploratory Data Analysis (3 ECTS) – 4ST626
World Economy (9 ECTS) – 2SE252
Managerial Economics (5 ECTS) – 3MI807
Econometric Modelling (6 ECTS) – 4EK631

Elective courses for 7 ECTS

Compulsory courses for 25 ECTS

Statistical Learning (6 ECTS)- 4ST641
Empirical Macroenonomics (6 ECTS) – 4ES301
Data-Driven Policy Analysis (4 ECTS) – 4ES613
Quantitative Methods in Economics (6 ECTS) – 4ES615
Bachelor’s Thesis Seminar (3 ECTS) – 4ES303

Elective courses for 5 ECTS

Compulsory courses for 12 ECTS + State exam (9 ECTS)

Case Studies in Data Science (6 ECTS) – 4EK616
Storytelling, presentation and media trends (6 ECTS) – 4ME356
State exam and Thesis defence (9 ECTS) – EDS

Elective courses for 9 ECTS

Behavioural Economics (3 ECTS) – 3MI604
Bond Theory and Praxis (3 ECTS) – 1BP464
Cloud Data Mining (3 ECTS) – 4IZ176
Computation for Data Science and Analytics (6 ECTS) – 4MM102
Corporate Finance (6 ECTS) – 1FP251
Currency Trading (3 ECTS) – 1MT364
Demography I (4 ECTS) – 4DM251
Entrepreneurship (6 ECTS) – 3BE314
Experiments in Economics and Management (4 ECTS) – 3MI606
Financial regulation and risk management (3 ECTS) – 1MT363
Financial theory, policy and institutions (5 ECTS) – 11F252
Fiscal Policy (Modern Trends and Case Studies)  (3 ECTS) – 1VF466
Game theory (6 ECTS) – 3MI711
Games and Decisions (3 ECTS) – 4EK602
International Economics (6 ECTS) – 2SE222
International Financial Management (6 ECTS) – 1MT357
Introduction to Financial and Insurance Mathematics (6 ECTS) – 4ST608
Machine Learning 1 (6 ECTS) – 4IZ171
Machine Learning 2 (6 ECTS) – 4IT344
Mathematical Informatics (6 ECTS) – 4EK615
Mathematical Statistics (6 ECTS) – 4ST623
Modern Trends in Banking and Financial sector (3 ECTS) – 1BP333
MS Excel Skills for Business: Fundamentals (3 ECTS) – 4IT523
Multiple Criteria Decision Making (6 ECTS) – 4EK606
Operations Research (3 ECTS) – 4EK601
Optimization Modelling (6 ECTS) – 4EK632
Probability and Random Processes (6 ECTS) – 4ST612
Project Management (3 ECTS) – 4EK603
Public Finance (3 ECTS) – 1VF203
Success in Statistics (3 ECTS) – 4ST318
Survey Methodology (3 ECTS) – 4ES610
Text Analytics 1 (6 ECTS) – 4IZ172
Text Analytics 2 (3 ECTS) – 4IT347
Use MS Excel in business practice (3 ECTS) – 4IT522

BACK to the EDS programme

  • Author: FIS Masters
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