Economics & Data Analytics

Bachelor of Arts (Honours / Honours with Research)

Economics & Data Analytics


Eligibility

Applicants must have successfully completed the 10+2 examination in any stream (Science, Commerce, or Arts) from PUC/ISC/CBSE or any other board recognised by the State or Central Government. Students from diverse academic backgrounds are encouraged to apply.
 
Duration: 4 Years (8 Semesters)
No. Of Credits: 173 Credits

Overview

The Bachelor of Arts (Honours / Honours with Research) in Economics & Data Analytics with the Chartered Economist (Ch.E) Programme from AAFM, USA, offered by JAIN (Deemed-to-be University), is a future-focused undergraduate programme that blends academic excellence with professional global certification. Designed in alignment with the National Education Policy (NEP), the programme equips learners with a strong foundation in economic theory, advanced analytical competencies, and internationally recognised professional credentials awarded by the American Academy of Financial Management (AAFM), USA, an organisation with a presence in over 151 countries.

The curriculum is structured to offer both breadth and depth through a comprehensive 173-credit framework delivered across eight semesters. It integrates the internationally recognised Chartered Economist (Ch.E) programme and includes:

  • 27 Major Courses (Economics & Analytics)
  • 11 Minor Courses (Data Analytics or allied domains)
  • 4 Skill Enhancement Courses (SEC)
  • 4 Value-Added Courses (VAC)
  • 3 General Electives (GE)
  • 4 Ability Enhancement Courses (AEC), including Additional English and language options

Upon completion of four years, students will earn either:

  • Bachelor of Arts (Honours) in Economics & Data Analytics with Chartered Economist (Ch.E) Programme from AAFM, USA, or

  • Bachelor of Arts (Honours with Research) in Economics & Data Analytics with Chartered Economist (Ch.E) Programme from AAFM, USA,
    depending on their academic pathway and successful completion of the research requirements.

The programme emphasises conceptual clarity, quantitative rigour, and applied learning through data-driven coursework, internships, lab-based training, industry exposure, and research engagements. Students gain practical proficiency in tools such as Excel, Python, R, SPSS, and contemporary analytical platforms, enabling them to interpret, model, and analyse complex economic and financial datasets.

Graduates emerge prepared for diverse and high-impact careers in economic research, data analytics, finance, consulting, policymaking, public sector analysis, and international development, as well as for advanced academic pursuits in Economics, Data Science, Public Policy, and related fields

Program code: 001A

Curriculum Structure

  • English I
  • Kannada I / Sanskrit I / Hindi I / Additional English I
  • Microeconomic Theory I
  • Mathematical Methods for Economics I
  • Statistical Methods for Economics I
  • Basic Excel for Data Analysis
  • Mind Management & Human Values I
  • Transdisciplinary Project Centric Learning (TD-PCL)

  • Kannada / Sanskrit / Hindi / Additional English
  • English II
  • Macroeconomic Theory I
  • Mathematical Methods for Economics II
  • Statistical Methods for Economics II
  • Advanced Excel for Data Analysis
  • Mind Management & Human Values II
  • Transdisciplinary Project Centric Learning (TD-PCL)

  • Microeconomic Theory II
  • Macroeconomic Theory II
  • History of Economic Thought
  • Database Management Systems
  • Fundamentals of Programming
  • General Elective – I
  • Environmental Studies
  • Internship – I
  • Transdisciplinary Project Centric Learning (TD-PCL)

  • Financial Institutions and Markets
  • International Economics
  • Basic Econometrics
  • Business Intelligence and Big Data Analytics
  • General Elective – II
  • Indian Constitution
  • Transdisciplinary Project Centric Learning (TD-PCL)

  • Operations Research
  • Time Series Econometrics
  • Development Economics
  • Indian Economy
  • Machine Learning Algorithms
  • Internship – II
  • Databases in Economics
  • General Elective – III
  • Transdisciplinary Project Centric Learning (TD-PCL)

  • Security Analysis and Portfolio Management
  • Panel Data Econometrics
  • Research Methodology
  • Public Economics
  • AI for Economics – I / Text Analysis
  • Spatial & Geo-Economic Data Analytics
  • Transdisciplinary Project Centric Learning (TD-PCL)

  • Environmental and Energy Economics
  • Financial Economics
  • Behavioural Economics
  • Tourism Economics
  • AI for Economics – II
  • Critical Review of Literature
  • Research Proposal Submission & Seminar Presentation

  • Introduction to Qualitative Response and Limited Dependent Variable
  • Industrial and Labour Economics
  • Health Economics
  • Machine Learning in Python
  • Introduction to Statistical Software for Economic Analysis (EViews, SPSS, STATA, R, Excel)
  • Research Paper Writing
  • Dissertation

Course Highlights

  • Student-Centred Learning Framework
    Delivered through an engaging and academically robust pedagogy that prioritises conceptual clarity, analytical reasoning, and practical application.
  • Expert Faculty and Distinguished Masterclasses
    Classes are facilitated by highly qualified faculty, complemented by masterclasses and special lectures delivered by eminent academicians and industry leaders.
  • Industry-Relevant and Future-Focused Curriculum
    The curriculum integrates contemporary economic theories, applied analytics, and sector-ready competencies, ensuring alignment with evolving industry needs.
  • Hands-on Learning and Employability Skills
    Students develop practical problem-solving abilities through case studies, simulations, data-driven assignments, and real-world applications.
  • Minor Specialisation in Data Analytics
    The programme offers a flexible minor in Data Analytics, enabling learners to complement economic theory with advanced analytical tools and computational techniques.
  • Strong Foundation in Empirical and Analytical Tools
    The syllabus blends empirical learning with analytical methodologies to enhance managerial decision-making, strategic thinking, and operational effectiveness.
  • Skill Development in Leadership and Entrepreneurship
    Coursework and co-curricular activities foster leadership qualities, entrepreneurial mindset, and managerial competence.
  • Industry-Integrated Internships
    Structured internships across multiple semesters ensure meaningful exposure to real-world operations, research environments, and analytical work cultures.
  • Exposure through Industrial Visits and Academic Forums
    Industrial visits, educational tours, and active participation in the Economics Forum support practical engagement and intellectual growth.

Career Enhancement Programs

The program offers students ample opportunities to undertake value-added courses, internships, and workshops to make them industry-ready. The Career Enhancement under the Bachelor of Arts (Honours / Honours with Research) in Economics & Data Analytics with Chartered Economist (Ch.E) Program from AAFM, USA program includes:
  1. Certifications in the following industry-relevant courses:
    • Certificate course on Statistics and Data Analysis
    • Certificate course on Financial Econometrics
    • Certificate Course on E-views/ STATA
    • Certification Course on R Programme /Python
    • Machine learning and Artificial Intelligence skill-building courses with industry-recognised Coursera/LinkedIn/SWAYAM certificates.
  2. Transdisciplinary project-centric learning (TD-PCL) throughout semesters leading to either patents/copyrights/research paper/business plan.
  3. Dedicated Mentorship for Professional Growth and Placement Preparation.

Career Outcomes

The BA (Honours / Honours with Research) in Economics & Data Analytics with the Chartered Economist (Ch.E) Program from AAFM, USA, equips graduates with the interdisciplinary expertise required for diverse, high-growth career pathways. Graduates are prepared for roles across economic analysis, policy research, financial services, consulting, data-driven industries, and international development.
 
Career opportunities include:
Economist, Academician / Higher Education Researcher, Data Analyst / Data Analytics Specialist, Financial and Economic Risk Analyst, Statistician / Quantitative Analyst, Management Consultant, Actuarial Analyst, Research Analyst (Economics / Financial Institutions), Business Intelligence Analyst, Economic and Financial Modelling Specialist, Data-Driven Policy Advisor, Policy Analyst / Economic Consultant (Government, Think Tanks, NGOs)
 
Graduates are also well positioned to pursue advanced studies, such as an MA/MSc in Economics, Data Science, or Public Policy, an MBA, or doctoral research in related fields.

FAQ's

What is the Bachelor of Arts (Honours/Honours with Research) in Economics & Data Analytics with Chartered Economist (Ch.E) Program?


This programme is an integrated academic–professional pathway that combines core Economics, advanced Data Analytics, and professional certification from AAFM-USA. Students graduate with both a degree and eligibility to qualify as a Chartered Economist (Ch.E), enhancing global employability.

What are the key advantages of pursuing the Ch.E certification along with the BA Honours degree?


The Ch.E credential offers international recognition, professional credibility, and industry-aligned skills. It strengthens career prospects in banking, finance, analytics, consulting, policy research, and global corporations by signalling advanced competency in applied economics and data-driven decision-making.

What career opportunities are available after completing this programme?


Graduates can pursue roles such as Economist, Data Analyst, Business Analyst, Financial Analyst, Policy Researcher, Market Research Analyst, Investment Analyst, and positions in government, think tanks, corporations, and international organisations. They may also progress to postgraduate studies, such as an MA/MSc in Economics or Public Policy, an MBA, or doctoral research.

Does the programme include hands-on training in Data Analytics tools?


Yes. The curriculum includes practical learning modules using Excel, R, Python, SPSS, Tableau, and other analytical tools. Students engage in labs, projects, internships, case studies, and real-world datasets to build strong analytical abilities.

What are the eligibility criteria for admission to this programme?


Students who have completed Class 12 (PUC/ISC/CBSE or equivalent) from any recognised board are eligible. A basic interest in Economics and quantitative skills is helpful, but the programme is designed to support learners from diverse academic backgrounds.