Semester 1
(18 credits)
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Compulsory
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Macroeconomics
(2 credits)
|
|
Compulsory
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Foreign Language
(4 credits)
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|
Compulsory
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Research Methods
(3 credits)
|
|
Compulsory
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Philosophy
(4 credits)
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|
Compulsory
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Statistics for machine learning
(3 credits)
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|
Compulsory
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Development Economics
(2 credits)
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Semester 2
(17 credits)
|
Compulsory
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Big data and applications
(3 credits)
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|
Compulsory
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Advanced Data Mining
(3 credits)
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Compulsory
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Advanced Econometrics I
(3 credits)
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|
Compulsory
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Social Network Data Analytics
(3 credits)
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Compulsory
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Sampling Methods
(2 credits)
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|
Compulsory
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(EN) Multivariate Data analysis
(3 credits)
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Semester 3
(12 credits)
|
Elective
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(EN) Bayesian Statistics
(3 credits)
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|
Elective
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(EN) Advanced Econometrics II
(2 credits)
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|
Elective
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(EN) National Accounts
(2 credits)
|
|
Elective
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(EN) Population statistics
(2 credits)
|
|
Elective
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(EN) Quantitative analysis in economics and business
(2 credits)
|
|
Elective
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(EN) Social Statistics
(2 credits)
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|
Elective
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(EN) Forecasting in economics and business
(2 credits)
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|
Elective
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(EN) Nonparametric statistics
(2 credits)
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|
Elective
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(EN) Applied Numerical Analysis in Economics
(2 credits)
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Semester 4
(13 credits)
|
Compulsory
|
Assignment
(3 credits)
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|
Compulsory
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Extra-Curriculum Report
(3 credits)
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|
Compulsory
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Graduation Project
(7 credits)
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