BA / B.Sc. - Dual Specialization - Economics with Data Science (3+1 years)

DETAILS

The School of Liberal Studies (SoLS) offers one-of-a-kind transdisciplinary learning and field-based training in disciplines across the humanities, social sciences, and mathematics. 

SoLS offers the following Four-year undergraduate programmes (FYUP) as options for dual majors leading to a BA/BSc research honours degree in Liberal Studies:

  1. Applied Mathematics 
  2. Applied Statistics
  3. Economics with Data Science
  4. History 
  5. Literature
  6. Political Science
  7. Psychology and Behaviour
  8. Sociology

Example: A BSc in Liberal Studies with a double major in Psychology and Behaviour, and Economics with Data Science, could be beneficial not just for those keen on pursuing an MBA in HR or Finance, but also for those interested in financial markets and human behaviour. A BSc. in Liberal Studies, with a major in Economics Data Science, and History, could become a joint major programme geared towards understanding the evolving nature of societies and economic systems and applying their knowledge and training in policy paradigms. Similarly, B.Sc. in Liberal Studies, with a major in Psychology and Behaviour, and Political Science, could help unravel demographic and social changes influencing individual behaviour. The possibilities are endless.

 

Economics with Data Science

The main philosophy behind the program is to meet the emerging need of the students to enable them to better adapt to the changing socio-political-economic environment for a ‘just and sustainable future’. The courses offered in the syllabus essentially take a quantitative approach that will equip the students with the tools and techniques for a holistic understanding of Economics with Data Science and its application in various fields. This course is designed to develop analytical and critical skills that facilitate learners to solve economic problems using logical arguments in addition to mathematical and statistical techniques. This ability will help students of Economics to flourish in different fields of academics, business, finance and consultancy among others. The teaching is provided in an interactive environment through a combination of lectures and laboratory works. While the course in the initial years shall equip the learners with economic theories and statistical tools, the advanced courses will enable them to know about different subjects of applied economics.

In alignment with the principle of the School of Liberal Studies, the course of B.Sc in Economics with Data Science takes an inter-disciplinary approach (students being required to undertake subjects from allied fields such as Mathematics, Political Science and History) to offer students hands-on training as future researchers, academics, administrators, and policymakers. Research seminars by faculty, lecture series and master classes by globally renowned academicians, workshops and conferences are directed towards that very purpose.

Duration

Duration of Program

3+1 Years (6/8 Semesters) Optional

Seats

Seats

*

Details

1

Pursue a BSc in Economics with Data Science with a comprehensive understanding and development of analytical and critical skills that facilitate learners to solve economic problems using logical arguments in addition to mathematical and statistical techniques

2

Focus on quantitative and empirics-based practice where students are encouraged to apply theoretical knowledge in real life in sync with our motto ‘Imagining a world beyond classrooms’

3

Select a specialized degree in Environmental Economics and Financial Economics

4

The program encompasses a range of courses, that follow diverse pedagogic means and evaluation methods

5

Learn from globally renowned academicians, researchers, and thinkers

6

Develop applied skills through fellowships, research seminars and other forms of hands-on learning.

The program is designed to help students:

1

Develop analytical and critical skills that facilitate learners to solve economic problems using logical arguments in addition to mathematical and statistical techniques

2

Reflect critically on real-life economic problems and related policies.

Graduates of B.Sc in Economics with Data Science program is expected to be able to:

PO1

Take up a problem-solving approach towards emergent and future economic issues in the world through original thinking and informed by an interdisciplinary and holistic perspective.

PO2

Seek employment and perform in various professional sectors including academia, corporate and financial sectors with their originality and problem-solving ability.

The career prospect of Graduates with BSc in Economics with a Data Science degree would include but not be limited to the:

 

  • Academics
  • Corporate sector jobs
  • Financial sector jobs
  • Administrative Services
  • Consultancy

Minimum 50% marks in class X and XII (any Stream)

  1. Math/Eco/ Political Sc. in 12th will be preferred.
  2. Non-Mathematics background students will undergo Remedial Mathematics module in Semester 1.

 

 

Aptitude Test/ Valid JEE Score/ CUET Score

Major in Economics with Data Science

Semester

Core/Foundation subject (credit)

Economics with Data Science Singular Major Specific Electives (credit)

 

Semester 1

Introduction to Data Science

2

     

Semester 2

Microeconomics I

3

     

Macroeconomics I

3

Introduction to Political Economy (cross with Political Science grid)

3

 

Probability and Statistics I (cross with Mathematics grid)

3

     

Real Analysis I (cross with Mathematics grid)

3

     

Calculus I (cross with Mathematics grid)

3

     

Semester 3

Microeconomics II

3

History of Ideas: 1500 BC-1947 (cross with History grid)

3

 

Macroeconomics II

3

Introduction to Climate and Sustainability (cross with Political Science grid)

4

 

Econometrics I

3

     

Linear Algebra (cross with Mathematics grid)

3

     

Semester 4

Operations Research (cross with Mathematics grid)

3

Any 4 of the following: (Total 16 credits)

 

Welfare Economics

4

 

Econometrics II

3

Advanced Game Theory

4

 

Environment and Development

3

Experimental Economics

4

 

Financial Economics I

3

Development Economics I

4

 
 

Economics of Network

4

 

Semester 5

Introduction to Stochastic Process (cross with Mathematics grid)

3

Any 4 of the following: (Total 12 credits)

 

International Trade I

2

Health Economics

3

 

Environmental Economics

2

Industrial Organisation

3

 

Financial Economics II

2

Behavioural Economics

3

 

Development Economics II

3

 

Indian Economy since 1947

3

 

Semester 6

International Trade II

2

Any 2 of the following: (Total 8 credits)

 

Time Series Analysis

4

 

Public Economics

2

Public Finance

4

 
     

Politics of Climate Change (cross with Political Science grid)

4

 

Total credits for core courses

54

   

Semester 7

Research seminar

2

Any 2 of the following: (Total 8 credits)

 

History of Democracy and Democratic Institutions: 600 BC -1950 (cross with History grid)

4

 

Interim Reporting

2

International Finance and Risk Management

4

 

Histories of Environment (cross with History grid)

4

 

Semester 8

Dissertation

8

 

Total credits in Semester 7-8

12

Total credit for Economics specific elective course

54

 

Total credit for Honours (Singular Major) in Economics with Data Science

54+12+54=120

 
           

 

 

Essential Elective Subjects for Specialised Tracks

Environmental Economics

Credit

Financial Economics

Credit

Environment and Development (Semester 4)

3

Financial Economics I (Semester 4)

3

Environmental Economics (Semester 5)

2

Financial Economics II (Semester 5)

2

Politics of Climate Change (Semester 6)

4

Public Finance (Semester 6)

4

Histories of Environment (Semester 7)

4

International Finance and Risk Management (Semester 7)

4

Total credits

13

Total credits

13

 

Course Requirements

Semester

Subject (Foundation/Core/Elective)

Pre-requisites

Semester 1

Introduction to Data Science (Foundation)

 

Semester 2

Microeconomics I (Core)

 

Macroeconomics I (Core)

 

Probability and Statistics I (Core)

 

Real Analysis I (Core)

 

Calculus I (Core)

 

Introduction to political economy (Elective)

 

Semester 3

Microeconomics II (Core)

Micro-economics I

Macroeconomics II

Macro-economics I

Econometrics I

Probability and Statistics I

Linear Algebra

 

History of Ideas: 1500 BC-1947 (elective)

 

Introduction to Climate and Sustainability (elective)

 

Semester 4

Operations Research (Core)

Linear Algebra

Econometrics II (Core)

Econometrics I; Probability and Statistics I

Environment and Development (Core)

 

Financial Economics I (Core)

Micro-economics I; Macro-economics II

Welfare Economics (Elective)

Micro-economics II

Advanced Game Theory (Elective)

Micro-economics II

Experimental Economics (Elective)

Micro-economics II

Development Economics I (Elective)

Micro-economics I

Economics of Network (Elective)

 

Semester 5

Introduction to Stochastic Process (Core)

 

International Trade I (Core)

Micro-economics II

Environmental Economics (Core)

Environment and Development

Financial Economics II (Core)

Financial Economics I

Health Economics (Elective)

Development Economics I

Industrial Organisation (Elective)

Macro-economics I, Macro-economics II

Behavioural Economics (Elective)

Micro-economics I; Experimental Economics

 

Development Economics II (Elective)

Development Economics I

Indian Economy since 1947 (Elective)

 

Semester 6

International Trade II (Core)

Macro-economics I, International Trade I

Public Economics (Core)

Micro-economics II; Environment and Development

Time Series Analysis (Elective)

Probability and Statistics I; Calculus I

Public Finance (Elective)

Financial Economics I; Financial Economics II

Politics of Climate Change (Elective)

Environment and Development; Environmental Economics

Semester 7

Research seminar (Core)

 

Interim Reporting (Core)

 

History of Democracy and Democratic Institutions: 600 BC -1950 (Elective)

Introduction to Political Economy

Corporate Finance (Elective)

Financial Economics I; Financial Economics II

Histories of Environment (Elective)

Environment and Development

Semester 8

Dissertation (Core)

 

 

 

 

School of Liberal Studies: MinorMinor in Economics with Data Science (20 credits)

 

Prerequisites of 8 credits (of the following courses) to be completed. Remaining courses are all open courses available as Minor courses.

  • Semester 1: Introduction to data science (2 credits)
  • Semester 2/4/6: Microeconomics I (3 credits)
  • Semester 2/4/6: Macroeconomics I (3 credits)

 

  1. Minor in Environmental Science (20 credits)

 

This is a cross-disciplinary minor courses. There are no pre-requisites. Students will need to take the following courses as Minor courses:

  • Semester 2/4/6: Sociology – Environmental Sociology (3 credits)
  • Semester 2: Political Science - Introduction to Climate and Sustainability (3 credits)
  • Semester 3/7: History - Histories of Environment (4 Credits)
  • Semester 4: Economics - Environment and Development (3 credits)
  • Semester 5: Economics - Environmental Economics (3 credits)
  • Semester 6: Political Science - Politics of Climate Change (4 credits)

Details

Program Attribute

1

Pursue a BSc in Economics with Data Science with a comprehensive understanding and development of analytical and critical skills that facilitate learners to solve economic problems using logical arguments in addition to mathematical and statistical techniques

2

Focus on quantitative and empirics-based practice where students are encouraged to apply theoretical knowledge in real life in sync with our motto ‘Imagining a world beyond classrooms’

3

Select a specialized degree in Environmental Economics and Financial Economics

4

The program encompasses a range of courses, that follow diverse pedagogic means and evaluation methods

5

Learn from globally renowned academicians, researchers, and thinkers

6

Develop applied skills through fellowships, research seminars and other forms of hands-on learning.

Program Objective

The program is designed to help students:

1

Develop analytical and critical skills that facilitate learners to solve economic problems using logical arguments in addition to mathematical and statistical techniques

2

Reflect critically on real-life economic problems and related policies.

Programme Outcomes

Graduates of B.Sc in Economics with Data Science program is expected to be able to:

PO1

Take up a problem-solving approach towards emergent and future economic issues in the world through original thinking and informed by an interdisciplinary and holistic perspective.

PO2

Seek employment and perform in various professional sectors including academia, corporate and financial sectors with their originality and problem-solving ability.

Career Prospects

The career prospect of Graduates with BSc in Economics with a Data Science degree would include but not be limited to the:

 

  • Academics
  • Corporate sector jobs
  • Financial sector jobs
  • Administrative Services
  • Consultancy
Eligibility

Minimum 50% marks in class X and XII (any Stream)

  1. Math/Eco/ Political Sc. in 12th will be preferred.
  2. Non-Mathematics background students will undergo Remedial Mathematics module in Semester 1.

 

 

Selection Criteria

Aptitude Test/ Valid JEE Score/ CUET Score

Curriculum

Major in Economics with Data Science

Semester

Core/Foundation subject (credit)

Economics with Data Science Singular Major Specific Electives (credit)

 

Semester 1

Introduction to Data Science

2

     

Semester 2

Microeconomics I

3

     

Macroeconomics I

3

Introduction to Political Economy (cross with Political Science grid)

3

 

Probability and Statistics I (cross with Mathematics grid)

3

     

Real Analysis I (cross with Mathematics grid)

3

     

Calculus I (cross with Mathematics grid)

3

     

Semester 3

Microeconomics II

3

History of Ideas: 1500 BC-1947 (cross with History grid)

3

 

Macroeconomics II

3

Introduction to Climate and Sustainability (cross with Political Science grid)

4

 

Econometrics I

3

     

Linear Algebra (cross with Mathematics grid)

3

     

Semester 4

Operations Research (cross with Mathematics grid)

3

Any 4 of the following: (Total 16 credits)

 

Welfare Economics

4

 

Econometrics II

3

Advanced Game Theory

4

 

Environment and Development

3

Experimental Economics

4

 

Financial Economics I

3

Development Economics I

4

 
 

Economics of Network

4

 

Semester 5

Introduction to Stochastic Process (cross with Mathematics grid)

3

Any 4 of the following: (Total 12 credits)

 

International Trade I

2

Health Economics

3

 

Environmental Economics

2

Industrial Organisation

3

 

Financial Economics II

2

Behavioural Economics

3

 

Development Economics II

3

 

Indian Economy since 1947

3

 

Semester 6

International Trade II

2

Any 2 of the following: (Total 8 credits)

 

Time Series Analysis

4

 

Public Economics

2

Public Finance

4

 
     

Politics of Climate Change (cross with Political Science grid)

4

 

Total credits for core courses

54

   

Semester 7

Research seminar

2

Any 2 of the following: (Total 8 credits)

 

History of Democracy and Democratic Institutions: 600 BC -1950 (cross with History grid)

4

 

Interim Reporting

2

International Finance and Risk Management

4

 

Histories of Environment (cross with History grid)

4

 

Semester 8

Dissertation

8

 

Total credits in Semester 7-8

12

Total credit for Economics specific elective course

54

 

Total credit for Honours (Singular Major) in Economics with Data Science

54+12+54=120

 
           

 

 

Essential Elective Subjects for Specialised Tracks

Environmental Economics

Credit

Financial Economics

Credit

Environment and Development (Semester 4)

3

Financial Economics I (Semester 4)

3

Environmental Economics (Semester 5)

2

Financial Economics II (Semester 5)

2

Politics of Climate Change (Semester 6)

4

Public Finance (Semester 6)

4

Histories of Environment (Semester 7)

4

International Finance and Risk Management (Semester 7)

4

Total credits

13

Total credits

13

 

Course Requirements

Semester

Subject (Foundation/Core/Elective)

Pre-requisites

Semester 1

Introduction to Data Science (Foundation)

 

Semester 2

Microeconomics I (Core)

 

Macroeconomics I (Core)

 

Probability and Statistics I (Core)

 

Real Analysis I (Core)

 

Calculus I (Core)

 

Introduction to political economy (Elective)

 

Semester 3

Microeconomics II (Core)

Micro-economics I

Macroeconomics II

Macro-economics I

Econometrics I

Probability and Statistics I

Linear Algebra

 

History of Ideas: 1500 BC-1947 (elective)

 

Introduction to Climate and Sustainability (elective)

 

Semester 4

Operations Research (Core)

Linear Algebra

Econometrics II (Core)

Econometrics I; Probability and Statistics I

Environment and Development (Core)

 

Financial Economics I (Core)

Micro-economics I; Macro-economics II

Welfare Economics (Elective)

Micro-economics II

Advanced Game Theory (Elective)

Micro-economics II

Experimental Economics (Elective)

Micro-economics II

Development Economics I (Elective)

Micro-economics I

Economics of Network (Elective)

 

Semester 5

Introduction to Stochastic Process (Core)

 

International Trade I (Core)

Micro-economics II

Environmental Economics (Core)

Environment and Development

Financial Economics II (Core)

Financial Economics I

Health Economics (Elective)

Development Economics I

Industrial Organisation (Elective)

Macro-economics I, Macro-economics II

Behavioural Economics (Elective)

Micro-economics I; Experimental Economics

 

Development Economics II (Elective)

Development Economics I

Indian Economy since 1947 (Elective)

 

Semester 6

International Trade II (Core)

Macro-economics I, International Trade I

Public Economics (Core)

Micro-economics II; Environment and Development

Time Series Analysis (Elective)

Probability and Statistics I; Calculus I

Public Finance (Elective)

Financial Economics I; Financial Economics II

Politics of Climate Change (Elective)

Environment and Development; Environmental Economics

Semester 7

Research seminar (Core)

 

Interim Reporting (Core)

 

History of Democracy and Democratic Institutions: 600 BC -1950 (Elective)

Introduction to Political Economy

Corporate Finance (Elective)

Financial Economics I; Financial Economics II

Histories of Environment (Elective)

Environment and Development

Semester 8

Dissertation (Core)

 

 

 

 

School of Liberal Studies: MinorMinor in Economics with Data Science (20 credits)

 

Prerequisites of 8 credits (of the following courses) to be completed. Remaining courses are all open courses available as Minor courses.

  • Semester 1: Introduction to data science (2 credits)
  • Semester 2/4/6: Microeconomics I (3 credits)
  • Semester 2/4/6: Macroeconomics I (3 credits)

 

  1. Minor in Environmental Science (20 credits)

 

This is a cross-disciplinary minor courses. There are no pre-requisites. Students will need to take the following courses as Minor courses:

  • Semester 2/4/6: Sociology – Environmental Sociology (3 credits)
  • Semester 2: Political Science - Introduction to Climate and Sustainability (3 credits)
  • Semester 3/7: History - Histories of Environment (4 Credits)
  • Semester 4: Economics - Environment and Development (3 credits)
  • Semester 5: Economics - Environmental Economics (3 credits)
  • Semester 6: Political Science - Politics of Climate Change (4 credits)
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