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Computer Science & Artificial Intelligence

Build the systems that think

Computer Science teaches how software and hardware work; AI is the branch that makes machines learn, see, speak and decide.

B.Tech (4 yr) or B.Sc. (Hons)PCM for B.Tech; liberal-arts routes are more openStrong maths needed
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What is this course?

About Computer Science & Artificial Intelligence

Computer Science teaches how software and hardware work; AI is the branch that makes machines learn, see, speak and decide. You learn programming, algorithms and mathematics first, then machine learning, deep learning and how to build AI products responsibly.

What you will study

Curriculum, year by year

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

Year 1
  • Programming (Python / C)
  • Discrete Maths
  • Calculus & Linear Algebra
  • Digital Logic
Year 2
  • Data Structures & Algorithms
  • Probability & Statistics
  • Databases
  • Operating Systems
Year 3
  • Machine Learning
  • Deep Learning
  • Computer Networks
  • AI Ethics
Year 4
  • NLP / Computer Vision
  • Generative AI
  • Major project / internship

Specialisation areas

Machine learningGenerative AIComputer visionNLPRoboticsCybersecurity
Career options

Where this can take you

Software EngineerProduct companies, start-ups
ML / AI EngineerTech, fintech, health-tech
Data ScientistEvery industry
AI ResearcherLabs, universities
AI Product ManagerTech companies
FounderYour own AI start-up
Universities offering this course

Where you can study it

UPES Dehradun

ProgrammeB.Tech CSE with tracks in AI, Data Science, Cybersecurity, Cloud

EntranceUPESEAT / JEE Main

Ashoka University

ProgrammeComputer Science major; CS and Entrepreneurial Leadership (B.Sc.)

EntranceAshoka Aptitude Assessment + interview

FLAME University

ProgrammeComputer Science major; Computer Science and Design

EntranceFEAT / SAT / ACT

Nayanta University

ProgrammeB.Sc. (Hons) Computer Science major

EntranceNayanta Aptitude Test + interview

UDIT, Gurugram

ProgrammeSchool of Technology focusing on computer science, AI and design (newly set up — check current intake)

EntranceUniversity admission process

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 Computer Science & Artificial Intelligence 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
Ashoka AAAFEATNAT (Nayanta)CUET
01

Entrance test preparation

  • Quant and logical reasoning for the liberal-arts CS routes (Ashoka, FLAME, Nayanta)
  • Problem-solving under time pressure
  • Interview prep: talking about projects and why CS
  • Profile building: coding projects, olympiads, portfolio
  • Note: B.Tech via JEE Main needs separate JEE preparation
  • 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

Book a free counselling session: 7065609060 · prathamonline.com

Ready to start your Computer Science & Artificial Intelligence journey?

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