Duration
3-Year
Students need to pass XII with minimum 50 % of marks with Mathematics as one of the main subjects from a recognized Board/University.
An important feature of this programme is the rigorous grounding in mathematics and statistics in your first year, along with a good foundation in economics.
The Economics module prepares students in domains like accounts, retail, sales, finance, and tax in the public, business, or industrial sector. Students are trained to analyze the ups and downs of the financial market, pursue independent research, use complex statistical data, contribute to social issues, and specialize in qualitative and quantitative research methods.The Mathematics module focuses on the understanding and solving of numerical problems. Candidates are taught about the science of numbers, quantity, and space through algebra, calculus, geometry, differential equations, and real analysis.
The Statistics module focuses on collection, organization, calculation, and interpretation of data. Candidates are taught about the principles and applications of Statistics, Probability, Graphical Analysis and Representation, Permutations, and Combination.
Syllabus
Semester I
Principles of Microeconomics
English - I
French
Differential Calculus
Differential Calculus using Maxima
Descriptive Statistics and Probability theory
Descriptive Statistics and Probability practical
Semester - II
Principles of Macroeconomics
English - II
French
Differential equations
Differential equations using Maxima
Statistical methods
R programming
Statistical methods practical
Semester - III
Additional English
Fundamentals of Economic Growth and Development
English-III
French
Hindi
Kannada
Real Analysis
Introduction to Python Programming for Mathematics
Statistical Inference
Applied Excel
Statistical Inference Practical
Semester IV
Additional English
Advanced Micro and Macroeconomics
International Economics
English-IV
French
Kannada Algebra
Introduction to Mathematical modelling using python
Sampling techniques
Sampling techniques Practical
Semester V
Research Methodology for Economics
Public Finance
Linear Algebra
Integral Transforms
Mathematical modelling
Graph theory
Calculus of several variables
Operations research
Linear algebra using python
Integral transforms using python
Mathematical modelling using python
Graph theory using python
Calculus of several variables using python
Linear regression models
Statistical quality control
Design of experiments
Actuarial Statistics
Introduction to Spatial statistics
Linear regression models Practical
Design of experiments practical
Actuarial Statistics practical
Spatial statistics practical
Semester VI
Introduction to Econometrics
Environmental Economics
Financial Economics
Dissertation
Complex Analysis
Numerical methods
Discrete mathematics
Number theory
Financial mathematics
Complex analysis using python
Mechanics using python
Numerical methods using python
Discrete mathematics using python
Number theory using python
Financial mathematics using python
Project on mathematical models
Time Series analysis and forecasting techniques
Applied statistics
Elements of Stochastic process
Biostatistics
Statistical Genetics
Time Series analysis and forecasting techniques practical
Applied statistics practical
Elements of Stochastic process practical
Biostatistics practical
Statistical Genetics practical
Course Fee
INR 3.05 Lakh
Future Scope
Students can work as Mathematicians and Statisticians, professionals with these specializations are also commonly seen in the job roles of Economists, Financial Analysts, University Professors, Actuaries, Economic Examiners, Financial Forecasters and, Market Research Analysts in wide range of public and private sector departments such as banking, finance, accounting, management consultancy, broadcasting, business, journalism, teaching and communications. Students interested in pursuing higher studies can enroll for post
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