B.Sc Economics -Mathematics-Statistics

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
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.

Career opportunities:

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