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Under Graduate

B.Sc. Economics (Data Science)

The study of “Economics and Data Science” blends two mutually relevant subjects into one, enabling students to develop a good understanding of the various core concepts of economics and data science that facilitates them in carrying out various responsibilities in the field of data-driven Economics. For instance, data science reasoning or principles were considered an essential foundational skill for corporate firms working in diverse areas. In addition, this emphasis on dual, yet related, fields through a single degree program provides students with the economic understanding and institutional knowledge to examine a given situation using data science tools like, R Programming Language, database management systems, Introduction to Artificial Intelligence (AI) and Machine Learning (ML), prompt engineering and topics related to Generative AI. This interdisciplinary program aims to help the learner become industry-ready by bridging the gap between industry expectations and classroom teaching.

Additionally, the key focus of this course would be on the compulsory requirement of ‘Apprenticeship in the identified industry.’ This will train and prepare the economics students for the diverse roles in the market/industry.

 

Why Economics and Data Science?

In a world driven by data and defined by decisions, pairing Economics with Data Science empowers students to not only understand the ‘why’ behind choices, but also predict the ‘what’s next’ with precision.

This unique combination cultivates critical thinkers who can quantify trends, model outcomes, and offer actionable insights in real time. It bridges the gap between economic theory and data-driven execution, a skillset increasingly sought after across industries. To nurture such future-ready professionals, Gokhale Institute of Politics and Economics launches its Apprenticeship-Embedded B.Sc. in Economics and Data Science, offering students the opportunity to learn as they apprentice with industry, gaining firsthand exposure to corporate demands before they graduate.

The details Apprenticeship Embedded Undergraduate Programme in B.Sc. Economics (Data Science) is as follows

Programme Overview

The four-year AEDP UG programme is designed to provide students with a combined understanding of Economics and Data Science with a key focus on embedded apprenticeships. This course is designed for a total of 160 credits, compliant with the NEP 2020 guidelines, which includes 2 semesters of apprenticeship, offering a total of 40 credits. This will focus on theoretical rigour, skill development, and industry experience. As per the UGC’s multiple exit-entry framework, the program offers multiple entry and exit options, catering to diverse academic and professional aspirations.

Additionally, this program is designed to provide students with a strong foundation in economics and data science while promoting flexibility, interdisciplinary learning, skill development and on-the-job learning through 1 year of apprenticeship in the industry. It also includes the right mix of courses on the Ability and Skill Enhancement Courses (ASECs) and Value-Added Courses (VACs), ensuring holistic skill development of the students.

 

Program Objectives:

  • To impart a strong theoretical grounding in Economics.
  • To develop practical skills in Data Science and analytics.
  • To offer industry experience through embedded apprenticeships.
  • Bridging gap between expectations by the industry and classroom teaching.
  • To prepare students for careers in policy-making, data-driven planning, and economic analysis.

Program Highlights

  • Integrates Economics with Data Science.
  • Covers tools/software like R, Python, AI, ML, and Prompt Engineering.
  • NEP aligned a 4-year undergraduate Degree with an Apprenticeship.
  • One-year compulsory industry apprenticeship in the final year (Semesters 7 & 8).
  • Multiple Entry/Exit Options.
  • Strong foundation in economic theory, quantitative reasoning, and policy analysis.

Program Outcomes:

Disciplinary knowledge: Capable of demonstrating comprehensive knowledge and understanding of one or more disciplines that form a part of an undergraduate /postgraduate program of study.

Communication Skills: Ability to express thoughts and ideas effectively in writing and orally; Communicate with others using appropriate media; confidently share one’s views and express herself/himself; demonstrate the ability to listen carefully, read and write analytically, and present complex information in a clear and concise manner to different groups.

Critical thinking, Problem solving and Analytical reasoning: Capability to apply analytic thought to a body of knowledge; analyses and evaluate evidence, arguments, claims, beliefs on the basis of empirical evidence; identify relevant assumptions or implications; formulate coherent arguments; critically evaluate practices, policies and theories, philosophies.

Acquiring research-related skills, scientific reasoning and reflective thinking: A sense of inquiry and capability for asking relevant/appropriate questions; ability to recognize cause-and-effect relationships, define problems, formulate and test hypotheses, analyses, interpret and draw conclusions from data; ability to plan, execute and report the results of an experiment or investigation.

Employability Options: All the courses along with mandatory apprenticeship aim to bridge the gap between classroom teaching and industry requirements thereby preparing them for roles in diverse financial management, market research, business planning, etc.