BIRLA INSTITUTE OF TECHNOLOGY- MESRA, RANCHI
COURSE STRUCTURE
Course Structure and Curriculum of the 5 -year Integrated M. Sc. in Quantitative Economics and Data
Science course (based on CBCS system and OBE model recommended scheme of study)
Semester I
Semester II
Introductory Analysis
Intermediate Analysis
Statistical Methods I
Statistical Methods II
Foundation of Economics with Necessary
Mathematics
Introductory Microeconomics
Probability I
Linear Algebra and Vectors and Matrices
Introduction to
Structure (GE-1)
Programming
and
English/MIL Communications (AECC)
Data Programming Language and Data Base
Management
System (GE-2)
Environmental Science (AECC)
Semester III
Semester IV
Differential Equations
Optimization Techniques
Intermediate Microeconomics
Intermediate Macroeconomics
Introductory Macroeconomics
Stochastic Processes
Probability II
Sampling Techniques and Design of Experiments
(SEC-2)
Linear Statistical Models (SEC-1)
Economic Development and Demography
Introduction to Sociology and Political Science Introduction to Psychology (GE-4)
(GE-3)
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BIRLA INSTITUTE OF TECHNOLOGY- MESRA, RANCHI
COURSE STRUCTURE
Semester V
Semester VI
Parametric Inference
Nonparametric Methods and Decision Theory
Multivariate Data Analysis
Applied Econometrics
International Trade
Statistical Machine Learning I
Basic Econometrics
Game Theory
Topics on Indian Economy/Behavioural Financial Economics/Money and Financial
Economics/Economics of Social Sector Institutions/Entrepreneurial Economics (DSE-3)
(DSE-1)
Public
Economics/Environmental Economics- Statistics
Comprehensive/Dissertation(DSE-4)
Economics I
/Open Economy Macroeconomy(DSE-2)
Semester VII
Semester VIII
Advance Analysis
Advance Optimization
Large Sample Theory
Categorical Data Analysis and Statistics in Bayesian
Paradigm
Time Series Econometrics
Algorithms for Big Data I
Statistical Machine Learning II
Resampling Techniques and Statistical
Computation
Regression Techniques
Developmental Economics
Advance Microeconomics
Advance Macroeconomics
Semester IX
Semester X
Design and Analysis of Algorithms
Project
Randomized Control Trials
Track Course- 3 (DSE-7)
Cross-section and Panel Econometrics
Track Course- 4 (DSE-8)
Track Course- 1 (DSE-5)
Track Course- 5 (DSE-9)
Track Course- 2 (DSE-6)
Track Course- 6 (DSE-10)
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BIRLA INSTITUTE OF TECHNOLOGY- MESRA, RANCHI
COURSE STRUCTURE
There would be three Tracks of Specialisations in the Final year.These Tracks are:
(i)
(ii)
(iii)
Economics
Finance
Data Analytics
The lists of courses under these three Tracks are the following.
Track I: Public Policy, Health Economics, Environmental Economics II, Agricultural Economics,
Industrial Economics, Growth Theory, Labour Economics, and International Macroeconomics
and Policies, and International Finance.
Track II: Quantitative Finance, Computational Finance, Corporate Finance, FinancialEconometrics,
International Finance, Developmental Finance, and Energy Derivatives.
Track III: Data Mining and Data Visualisation, Social Dynamics and Social Network, Business
Intelligence and Data Engineering, Algorithms for Big Data II, and Inferencefor High Dimensional
Data. (‘International Finance’ is listed in both Tracks I and II keeping in mind its relevance and
importance in both ‘Economics’ and ‘Finance’ specializations.)
The students of Final year are required to take a total of six courses from thesecourses in the last
two semesters. They have to choose first any two Tracks of Specializations from these three
Tracks, and then one course from each of the chosen two tracks in Semester IX and two courses
from each of the chosen twoTracks in Semester X.
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