What is this course?

About Data Science

Data Science combines statistics, programming and business sense to find patterns in data and make predictions. You learn to clean data, build models, visualise results and explain them to people who make decisions.

What you will study

Curriculum, year by year

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

Year 1

Python Programming
Statistics I
Calculus & Linear Algebra
Excel & SQL

Year 2

Probability
Data Wrangling
Databases
Data Visualisation

Year 3

Machine Learning
Big Data Tools
Business Analytics
Internship

Year 4

Deep Learning
MLOps
Capstone with industry data

Specialisation areas

Business analyticsMachine learningSports & health analyticsMarketing analyticsData engineering

Career options

Where this can take you

Data AnalystEvery industry

Data ScientistTech, fintech, retail

Business Intelligence AnalystCorporates

Data EngineerTech companies

ML EngineerAI teams

Analytics ConsultantConsulting firms

Universities offering this course

Where you can study it

FLAME University

ProgrammeData Science and Economics major; Business Analytics (BBA Hons)

EntranceFEAT / SAT / ACT

O.P. Jindal Global University

ProgrammeBBA (Hons) Business Analytics

EntranceJSAT / CUET / SAT

UPES Dehradun

ProgrammeB.Tech CSE with Data Science track

EntranceUPESEAT / JEE Main

Nayanta University

ProgrammeB.Sc. (Hons) Mathematics / Computer Science majors

EntranceNayanta Aptitude Test + interview

Ashoka University

ProgrammeComputer Science, Mathematics and Economics majors

EntranceAshoka Aptitude Assessment + interview

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 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

FEATJSATNAT (Nayanta)Ashoka AAACUETIPMAT

01

Entrance test preparation

Quantitative aptitude and data interpretation, the heaviest section for analytics routes
Logical reasoning sets
Interview prep: why data, with a small project to talk about
Sectional tests to build speed
Full mocks with performance analytics
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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