BSc Economics (Interdisciplinary)

Recent developments in various disciplines indicate a tendency towards the convergence of disciplines as it is more productive in knowledge creation and innovation. Recognizing this, many universities across the world have already launched multidisciplinary programmes at the UG and PG levels. BSc Economics- Mathematics-Statistics (triple main), is a much sought-after combination as it equips the students with the foundation of Mathematics and Statistics for the study of Economics. BSc. Economics is a programme that enables students to make use of statistical and mathematical models to develop theories or test existing hypotheses in economics and to forecast future trends by extracting or extrapolating knowledge and insights from structured, unstructured and noisy data. Students who pursue the programme learn to use statistical methods to quantify and analyze economic theories by leveraging tools such as frequency distributions, probability, and probability distributions, statistical inference, correlation analysis, simple and multiple regression analysis, simultaneous equations models, and time series methods. The programme provides scope for specialisation in theoretical aspects or in the application of existing models.

Graduates in BSc. Economics have the opportunity to pursue higher studies in Economics, Statistics, Mathematics, Data Science, Analytics, MCA, MBA and other programmes for which the eligibility is an undergraduate degree. It also provides opportunities for a career in a wide range of different organizations: from financial institutions and large multinationals, to infrastructure companies, high tech startups,and different levels of government. It also offers scope for jobs with highest starting salaries in the field of Economics and Management. Job roles for graduates include:
  • Economist at Planning Boards
  • Validation Analyst at Banks
  • SAP Technology Consultant at financial institutions
  • Consultant Data Analytics at MNCs
  • Market Risk Analyst at Financial Institutions
  • Financial Consultant
  • Management Trainee
  • Risk Manager
  • Data scientists
  • Business Analyst

These are the DSCs/mandatory courses across semesters for Economics major:

This course offers a basic understanding of the discipline. Students will be equipped with the methodology and concepts of Economics along with an overview on Microeconomics, Macroeconomics, Mathematical Economics as well as Econometrics.

This course further strengthens the foundations of Economics by in-depth analysis of demand and supply forces along with concepts of inflation and trade cycle. Students are introduced to Public Finance and Indian Economy, which is crucial for development of a taste of the discipline.

The course covers concepts like consumer behaviour, production, costs, and pricing across different market structures—from perfect competition to oligopoly. The course equips students with analytical skills to understand and evaluate market dynamics effectively.

This course offers a deep understanding of macroeconomics, tracing the evolution of ideas from classical theories to Keynesian models. It helps students analyse real-world policies and economic scenarios with a strong focus on macroeconomic theories.

This course explores how economies grow and societies develop, going beyond income to include inequality, and sustainability. Apart from providing a base on environmental economics, it helps students to measure and analyse real-world issues like poverty and inequality. 

This course deals with how governments manage finances, from budgeting and taxation to public expenditure and debt. With a focus on fiscal federalism, the course helps students analyse the role of central, state, and local governments in shaping economic policy and development.

This course covers the Indian economy, tracing its evolution. It explores issues like liberalisation, demographic changes, growth challenges, and development concerns, teaching students to critically analyse India’s economic progress and future prospects.

This course provides a strong foundation in econometrics, equipping students with the tools to analyse economic data and test real-world economic relationships. It is ideal for developing analytical and research skills, this course is essential for understanding and applying data-driven economics.

This course explains how countries trade, interact, and compete in the global economy. The course equips students to analyse global economic trends and make sense of today’s interconnected world.

The course dives into deeper econometrics principles with advanced tools, to analyse complex real-world data. Ideal for developing strong analytical and research skills, this course enables students to build reliable models and make data-driven economic decisions.

The course helps to master the art of research with hands-on training in problem identification, data analysis, and report writing using tools like SPSS and Excel. This course helps in developing practical skills and scientific thinking essential for academic and professional success.

This course helps to build a strong foundation in microeconomics by mastering consumer behavior, and decision-making in real-world markets. It explains the usage of analytical tools to understand pricing strategies and market structures, making it ideal for careers in economics, business, and policy.

The present course explores advanced microeconomic theories like modern consumer behavior, decision-making under uncertainty, production analysis, and welfare economics. This is ideal for higher studies and research-oriented careers.

The course helps to master advanced econometric techniques while building strong analytical and critical thinking skills. It deals with modelling real-world economic problems with precision, making it ideal for research, data analysis, and policy careers.

It helps to gain practical insights into India’s financial system, money and capital markets, and derivatives with hands-on exposure to trading and market operations. This covers real-world financial skills, making it ideal for careers in banking, finance, and investment.

These are the DSCs/mandatory courses across semesters for Mathematics major:

This course provides the basic building blocks needed to understand economic systems using logic and numbers. It teaches you the mathematical language behind things like demand, supply, and growth rates so you can turn ideas into real-world data.

This course gives you a practical toolkit to measure how markets change, from calculating extra costs to finding the best way to make a profit. It uses special formulas to help you identify the most efficient and successful paths for any business.

This course provides a clear framework to calculate total figures, like total revenue or savings, by looking at small, individual changes. It uses integration to help you measure overall market health and predict how much a business will grow over time .

This course offers a structured way to solve large, complex problems that involve many different parts of the economy at once. It teaches you how to manage the huge amounts of data that move between different industries in a modern country.

This course provides the technical skills to handle very complex economic data using advanced shapes and patterns. It focuses on solving the high-level math problems found in deep economic research and data science.

This course gives you a strategic plan to solve problems where resources like time and money are limited. It provides the tools to improve business logistics and understand how companies compete against each other in the real world.

This course provides the expert command needed to make smart decisions in steps, like managing stock in a warehouse or finding the shortest delivery route. It combines math and logic to help you get the most value out of a business while working under strict rules.

This course provides predictive tools to model how economic variables like national income and prices evolve over time. It uses specialized formulas to study growth models and how markets shift between different states.

These are the DSCs/mandatory courses across semesters for Statistics major:

Introduces basic statistical concepts including data, variables, Descriptive Statistics. Emphasizes practical skills through data analysis and visualisation using R or Excel.

The courses focuses on foundational concepts of random variables, expectation, and discrete/continuous distributions, integrating numerical problem-solving with R programming

This course covers core inferential statistics  sampling distributions, parameter estimation, and hypothesis testing emphasizing practical problem-solving using R or Python.

The course focuses on statistical decision-making through sampling distributions, estimation, and hypothesis testing, with hands-on implementation using Excel, R.

The course focuses on statistical tools specifically designed for qualitative research, covering measurement scaling, reliability and validity, and non-parametric tests including Chi-square and other non-parametric methods.

The course covers the principles of sample survey methods including simple and stratified random sampling, alongside foundational concepts in design of experiments and various experimental designs.

The course introduces the fundamental concepts of time series analysis and stochastic processes, covering time series data, stationarity, stochastic processes, and the random walk model.

The course covers advanced multivariate techniques including multiple response analysis, multidimensional scaling, logistic and discriminant analysis for classification, cluster analysis for segmentation, conjoint analysis for product design, and factor analysis for data reduction.

The course covers analytical tools for multivariate analysis, focusing on real vectors, generalized inverse, quadratic forms, multivariate distributions, and the distribution of quadratic forms. It provides the mathematical foundation essential for understanding and applying multivariate statistical techniques.