What is this course?

About Economics with Data Science

Economics explains how people, firms and governments make choices. Data science gives you the tools to test those explanations with real numbers. Together they train you to ask a sharp question, collect the data, model it and turn the answer into a decision.

What you will study

Curriculum, year by year

Typical curriculum, year by year. Each university sets its own course list.

Year 1

Principles of Micro & Macro
Calculus & Linear Algebra
Intro to Programming (Python)
Statistics I

Year 2

Intermediate Micro & Macro
Econometrics
Data Structures & Databases
Probability

Year 3

Machine Learning for Economists
Development / Behavioural Economics
Data Visualisation
Applied Project

Year 4 (Hons)

Causal Inference
Big-data methods
Research thesis / Capstone

Specialisation areas

EconometricsBehavioural economicsPolicy analyticsFinancial dataMarket & consumer analyticsDevelopment economics

Career options

Where this can take you

Data / Business AnalystConsulting, e-commerce, banks

Economic Research AnalystThink tanks, RBI-style bodies, research firms

Policy AnalystGovernment, NITI-type bodies, NGOs

Quant / Risk AnalystBanks, fintech, insurance

Product AnalystTech start-ups

Higher studiesMSc/MA Economics, Data Science, PhD

Universities offering this course

Where you can study it

FLAME University

ProgrammeData Science and Economics major (B.Sc. Hons, interdisciplinary)

EntranceFEAT / SAT / ACT

Ashoka University

ProgrammeEconomics major with Computer Science or Mathematics as minor

EntranceAshoka Aptitude Assessment + interview

Nayanta University

ProgrammeB.A. (Hons) Economics major; B.Sc. Computer Science / Mathematics majors

EntranceNayanta Aptitude Test + interview

O.P. Jindal Global University

ProgrammeBBA (Hons) Business Analytics; Economics programmes

EntranceJSAT / CUET / SAT

Programme names, eligibility and entrance tests change every admission cycle. Please confirm details on each university's official admissions page before applying.

How PRATHAM helps you prepare

Your route in, planned with PRATHAM

Getting into Economics with Data Science starts with the right entrance test. PRATHAM prepares you for every test on this route, with expert faculty, updated study material and full-length mocks.

Entrance tests covered

FEATAshoka AAANAT (Nayanta)JSATCUET

01

Entrance test preparation

Quantitative aptitude up to Class 12 level: algebra, data interpretation, graphs and tables
Logical reasoning and puzzle sets of the kind these aptitude tests use
Essay and SOP writing on an economics or data theme
Interview practice: explaining a data story in plain words
Full-length mocks with analysis of your weak areas
Concept-building classes in quantitative aptitude, critical reasoning, writing and problem-solving
University-specific modules for Ashoka, FLAME and other liberal-arts tests
Mock tests that simulate the real exam, with performance analytics showing strengths and weak areas
Doubt-solving and mentorship in small groups and one-on-one

02

Choosing the right course and college

Psychometric test and report: your aptitude, strengths and personality fit, mapped to courses
Guidance that builds decision-making confidence for students and parents
College shortlisting and application strategy based on your marks, interests, eligibility and career goals

03

Application and interview preparation

Four-session Essay Writing Bootcamp: structuring ideas, grammar, style and timed practice
Past essay topics, a practice library and the SPEEL method (Statement, Point, Example, Explanation, Link), with feedback on mock essays
Statement of Purpose support: brainstorming, mentor-assisted drafting, an SOP bank from past admits, and final proofreading
SOPs tailored to each university, for example academic curiosity for Ashoka and a passion-driven story for FLAME
Letter of recommendation guidance: choosing recommenders, inputs for teachers and a quality checklist
Personal interview training plus three mock interviews (general, SOP-based and university-specific), recorded with feedback

04

Profile building

Profile audit to find gaps
Building achievements in academics, leadership, volunteering, internships and research
Guidance on MUNs, debates, competitions, summer programmes and online certifications
Professional resume and LinkedIn profile, aligned with your SOP and interview

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