MSc in Economics and Data Science Course Catalogue
Programme description
UCA’s Master of Science in Economics and Data Science is an innovative, interdisciplinary two-year, 120-ECTS programme that brings together rigorous economic analysis, modern data science, and applied policy research to address complex economic and development challenges.
Designed for a rapidly changing, data-driven world, the programme equips students with the theoretical foundations, technical skills, and analytical judgement needed to understand economic challenges and translate evidence into informed decisions.
Through a combination of economic theory, statistics, econometrics, programming, machine learning, and policy analysis, students will learn to work with complex data, evaluate economic and policy questions, and develop evidence-based solutions to real-world challenges.
With a strong focus on Central Asia and its evolving economic landscape, the programme connects international academic perspectives with regional development priorities. Applied coursework, research projects, and an independent master’s dissertation provide opportunities to explore contemporary economic questions and develop practical research and analytical skills.
Graduates will be prepared for careers in economic analysis, data science, policy research, and consulting across government, international organisations, development agencies, research institutions, and the private sector. The programme also provides a strong foundation for further academic study and research.
List of courses
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MSc in Economics and Data Science |
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Subject Area |
Course Code |
Title |
Core/ Elective |
Actual Credits |
|
Semester 1 |
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MEDS |
5103 |
core |
6 |
|
|
MEDS |
5124 |
core |
6 |
|
|
MEDS |
5111 |
core |
6 |
|
|
MEDS |
5136 |
core |
6 |
|
|
MEDS |
5101 |
core |
6 |
|
|
MSc in Economics and Data Science |
||||
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Subject Area |
Course Code |
Title |
Core/ Elective |
Actual Credits |
|
Semester 2 |
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|
MEDS |
5202 |
Applied Econometrics |
core |
6 |
|
MEDS |
5238 |
Applied Data Systems |
core |
6 |
|
MEDS |
5213 |
Economic Policy II: Macroeconomics |
core |
6 |
|
MEDS |
5224 |
Machine Learning for Policy Analysis |
core |
6 |
|
MEDS |
5247 |
Elective I: Public Finance |
elective |
6 |
|
MEDS |
5249 |
Elective I: Natural Resource and Environmental Economics |
elective |
6 |
|
MSc in Economics and Data Science |
||||
|
Subject Area |
Course Code |
Title |
Core/ Elective |
Actual Credits |
|
Semester 3 |
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|
MEDS |
Programme Evaluation |
core |
6 |
|
|
MEDS |
Data Ethics and AI Governance |
core |
2 |
|
|
MEDS |
Master’s Thesis Research Practice I |
core |
10 |
|
|
MEDS |
Elective II |
elective |
6 |
|
|
MEDS |
|
Elective III |
elective |
6 |
|
MSc in Economics and Data Science |
||||
|
Subject Area |
Course Code |
Title |
Core/ Elective |
Actual Credits |
|
Semester 4 |
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|
MEDS |
Master Thesis Research Practice II |
core |
7 |
|
|
MEDS |
Teaching Practicum |
core |
3 |
|
|
MEDS |
Master Thesis Defense |
core |
20 |
|