SJCC is Ranked 65th in the National Institutional Ranking Framework (NIRF – India Rankings - 2023) by the Ministry of Education, Government of India.   |   Accredited with A++ Grade (4th Cycle) CGPA Score of 3.57 on 4.0 Scale by NAAC.   |   Recognised by UGC as 'College with Potential for Excellence’.   |   College Recognised under Section 2 (f) & 12 (B) of the UGC Act, 1956   |  

Department of B.Sc Economics, Mathematics and Data Analytics

About the programme

B.Sc Economics, Mathematics and Data Analytics - with deep specialisation in the third year

The programme has been designed to provide a cutting-edge expertise in mainstream economics, mathematics and data analytics. This programme aims to develop analytical, creative and critical thinking skills for problem solving and decision making. It aims at better understanding of social, economic and political issues and explores the full spectrum of the programme. The transferable skills attained through the deep specialisation in Economics are highly sought after by employers and increase the employability quotient of students in various dynamic fields. A student could be an economist, a government advisor, financial consultant, econometrician, banker, data analyst, mathematician and also look forward to different government positions after successful completion of the programme. The programme integrates different fields like Finance, Operations Research, History, Politics, Environmental Studies and Model Building with an inbuilt local as well as global perspective. New elements such as internship, case studies, seminars and research projects enhance deeper understanding of the practical applications of the programme.

The Bachelor’s degree programme in Economics, Mathematics and Data Analytics is a full-time undergraduate programme. Data Analytics has been designed to provide individuals with the essential skills to extract valuable insights from extensive datasets, empowering them to make informed decisions across various industries. Students delve into statistical techniques and advanced tools, honing their abilities to analyse and interpret complex data sets. The curriculum typically covers crucial aspects such as data cleaning, exploratory data analysis, and the application of machine learning algorithms to address real-world problems. Hands-on experience with popular data analysis tools like Python, R, and SQL is a focal point, enhancing students’ proficiency in data manipulation and visualization.

Mathematics major equips students with essential analytical and problem-solving skills, making them highly versatile in the job market. Graduates can pursue careers in finance, where they model and manage risk, and in data analysis, where they interpret complex datasets. In actuarial science, they assess financial risks for insurance companies, while in software development, they create algorithms to enhance technology. Additionally, there is high demand for mathematicians in medicine and engineering to solve complex design and optimization problems. The growing demand for mathematical expertise ensures robust job opportunities for graduates.

Practical case studies and projects challenge students to apply their acquired skills to authentic data challenges encountered in industries such as finance, healthcare, and marketing. As the demand for data-driven decision-making continues to rise, completing this programme becomes a valuable asset for professionals seeking to advance their careers in areas like business intelligence, data science, and analytics.


WHY ECONOMICS & DATA ANALTYTICS?

1. A wide array of job opportunities, including: accounting, banking, data analyst, data scientist, and consulting in the government, private sector, or public sector.
2. A rigorous foundation in data analysis with the ability to apply the knowledge in practical settings.
3. An understanding of microeconomics and macroeconomics.
4. Learning what is practical and applicable to real-life choices and decision making.
5. The ability to solve problems.
6. Knowledge about for how to make wise financial decisions.
7. Understanding of statistical and mathematical techniques.
8. Expertise in the use of technology and computers for data analysis for drawing insight & decision making.