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UG programme in

Computer Science (AI & ML)

A practical undergraduate programme where students learn AI, build networks, and develop AI skills to work in the industry.

UG programme in Computer Science (AI & ML) at a glance

Duration
4 Years
Seats
120
Format
Full-time
Location
On campus

Bengaluru · Mangaluru · Patna

Real world tech. Real world execution.

100X your chance of success. Build skills. Belong to networks. Become successful.

Learn directly from practitioners and engineers working across some of the world’s largest technology companies.

Code to create

Transform ideas into real products

Put your learning into practice from day one — through projects that involve building, testing and deploying real applications.

  • Full-stack projects from semester one
  • AI / ML applications using real-world data
  • Experience with deployment and production environments
Winners & competitions

Taking on IIT B hackathons & beyond

From campus competitions to national hackathons, students get opportunities to test their skills beyond the classroom.

  • 28+ national tech fests, including IIT B
  • Smart India Hackathon (SIH)
  • Google, Microsoft and Amazon challenges
Special events

Closer to the developer community

Students get access to the GDG communities through workshops, developer conferences and meetups across the year.

  • Masterclasses held by Google leaders
  • GDG DevFests — participation and speaking opportunities
  • Interaction with Google engineers and developers
Open source

Take your code to open source

Move beyond tutorials and assignments. Work with a real codebase, contribute to open-source projects and build your profile as a developer.

  • GSoC preparation and mentorship
  • A GitHub profile built through real contributions
  • Contributions to React, TensorFlow & Kubernetes
Industry mentorship

Learn from tech leaders and CTOs

Get direct mentorship from engineers at Google, Microsoft, Amazon and top startups who guide your career.

  • 1-on-1 mentorship with industry experts
  • Resume reviews by hiring managers
  • Mock interviews with MAANG engineers

Learn by doing

More than just academics.

  1. 01 / 07

    Future-first curriculum

    The programme is built around the technologies shaping tomorrow — artificial intelligence, data science, cloud computing, cybersecurity and full-stack development.

  2. 02 / 07

    Learn by building, not memorizing

    From day one, students work on live projects, real-world case studies, hackathons and product-based assignments.

  3. 03 / 07

    Mentorship from industry leaders

    Classes are led and mentored by engineers, founders and domain experts actively working in the tech ecosystem.

  4. 04 / 07

    Career acceleration ecosystem

    Structured internships, placement training, interview preparation and personal branding support ensure students graduate confident, job-ready and industry-aligned.

  5. 05 / 07

    Learn from world-class faculty

    Practitioners, CXOs, founders and industry leaders on campus every week.

  6. 06 / 07

    Career launchpad

    A new-age curriculum built for the real world — hands-on, outcome-driven and industry-led.

  7. 07 / 07

    Live a vibrant 360° campus experience

    Built like a boardroom, not a classroom — because you're here to build, not just learn.

The syllabus

Industry first, advanced curriculum.

Hands-on learning, curated year by year.

Year 1

Build

Learn by building from day 1, strengthening your foundations in core CS concepts.

What you’ll learn

  • Python Basics
  • ReactJS
  • Data Structures & Algorithms (DSA)
  • File Handling
  • Responsive Web Design
  • Arrays
  • Dictionary
  • Searching
  • API
  • UI/UX
  • Javascript
  • Maths for CS

In classroom

Data Structures and Algorithms

Unlock the building blocks of any form of programming.

Web Development

Learn to build modern, fully functional websites from scratch.

Core Maths

Explore the math behind computers and how 1s and 0s come to life.

Projects you’ll work on

  • 01Open Source for an Open World
  • 02Competitive Programming
  • 03Build a GenAI-powered CRM platform
  • 04Social media analyser with Python
  • 05Create your own portfolio website

The people teaching

Quad is run by industry professionals.Not boring professors.

Learn from people who are still building, leading and solving in the industry. 100+ mentors from Google, Amazon, Microsoft, CRED and Apple bring real-world context into student work — reviewing, challenging and guiding it every week.

26%

Industry practitioners

Leaders and builders who still do the job, reviewing student work every week.

  • Abhishek M N

    BIT Mesra

    YouTube
  • Prashant Verma

    IIT Roorkee

    CRED
  • Utsav Patel

    DA-IICT

    Cisco
  • Gaurav Goyal

    IIT Kharagpur

    Google
  • Pulkit Goyal

    SMVDU

    Meta

53%

Full-time faculty

Resident educators who own the core curriculum end to end.

  • Cheeradeep Chatterjee

    Christ University, Bangalore

  • Dharmesh Kumar

    North East Christian University

  • Kashish Ameena

    Crestata School of Management, Science and Arts

  • Nikita Mate

    Hong Kong Metropolitan University

  • Rajat Kharbanda

    National Forensic Sciences University (NFSU)

  • Shreyasvi Bajpai

    Dr. B. R. Ambedkar University Delhi (AUD)

  • Akanksha Rai

    Symbiosis

  • Damodar Tiwari

    Makhanlal Chaturvedi National University of Journalism and Communication (MCNUJC), Bhopal

  • Nashit Humam

    Savitribai Phule Pune University

  • Nitish Kumar

    AlmaBetter (IIT Guwahati)

21%

Visiting faculty

Professors who join for a module and leave a mark on the whole cohort.

  • Nimit Agarwal

    DA-IICT

    Google
  • Shiladitya Saha

    IIT Kharagpur

    Microsoft
  • Ankit Kumar

    SMVDU

    Nykaa
  • Nalin Singla

    IIT Delhi

    Samsung
  • Abhishek M N, BIT Mesra, now at YouTube
  • Nimit Agarwal, DA-IICT, now at Google
  • Prashant Verma, IIT Roorkee, now at CRED
  • Shiladitya Saha, IIT Kharagpur, now at Microsoft
  • Utsav Patel, DA-IICT, now at Cisco
  • Ankit Kumar, SMVDU, now at Nykaa
  • Gaurav Goyal, IIT Kharagpur, now at Google
  • Nalin Singla, IIT Delhi, now at Samsung
  • Pulkit Goyal, SMVDU, now at Meta
  • Cheeradeep Chatterjee, Christ University, Bangalore, full-time faculty
  • Dharmesh Kumar, North East Christian University, full-time faculty
  • Kashish Ameena, Crestata School of Management, Science and Arts, full-time faculty
  • Nikita Mate, Hong Kong Metropolitan University, full-time faculty
  • Rajat Kharbanda, National Forensic Sciences University (NFSU), full-time faculty
  • Shreyasvi Bajpai, Dr. B. R. Ambedkar University Delhi (AUD), full-time faculty
  • Akanksha Rai, Symbiosis, full-time faculty
  • Damodar Tiwari, Makhanlal Chaturvedi National University of Journalism and Communication (MCNUJC), Bhopal, full-time faculty
  • Nashit Humam, Savitribai Phule Pune University, full-time faculty
  • Nitish Kumar, AlmaBetter (IIT Guwahati), full-time faculty

Your next chapter

Placementassistance.

Dedicated placement support with resume building, interview preparation and direct connections to recruiters.

  1. Resume building

  2. Interview preparation

  3. Recruiter connections

Recruiter network

Outcomes

Where does Quad take you?

Job placement
  • Secure a 6-month internship to gain hands-on experience
  • Dedicated 1:1 personalised career coach
  • Access to marquee recruiters
Entrepreneurship
  • One mandatory startup to be developed from inception
  • Student-led startup clubs and live projects
  • Idea-to-execution support from startup founders
Higher studies
  • Regular career counselling sessions
  • Specialise in future-ready specialisations
  • Dedicated tutoring for Masters preparation

How to get in

Admission criteria.

Four steps. Then you start.

01

Apply online

Six fields. No essay about your childhood dream.

02

QAT test & interview

Aptitude, then a real conversation. We listen for curiosity.

03

Selection & fee payment

Offer in seven days. Scholarships decided at the same time.

→
04

Start learning

Week one you are on a team, on a brief, on the clock.

What we assess.

  • Academic performance

    Submit your Class X and XII marks (either expected or final) from any recognised board, including CBSE, ISC or equivalent.

  • QAT test

    A 60-minute online aptitude test designed to evaluate your skills, strengths and potential.

  • Online interview assessment

    We evaluate qualities such as problem-solving and creativity through 1:1 interaction with the student.

What is the QAT test?

QAT is a 60-minute online aptitude test designed to assess your skills, strengths and potential. But it's not just about scores — it's about discovering if you're the right fit for Quad.

The test evaluates:

  • Logical reasoning
  • Data interpretation
  • Verbal & written communication
  • Quantitative ability

Fees

UG programme in Computer Science (AI & ML) fee structure.

SemesterBengaluruMangaluruPatna
Sem 1₹2,00,000₹1,50,000₹1,00,000
Sem 2₹2,00,000₹1,50,000₹1,00,000
Sem 3₹2,00,000₹1,25,000₹1,00,000
Sem 4₹2,00,000₹1,25,000₹1,00,000
Sem 5₹1,50,000₹1,00,000₹1,00,000
Sem 6₹1,50,000₹1,00,000₹1,00,000
Sem 7₹1,50,000₹1,00,000₹1,00,000
Sem 8₹1,50,000₹1,00,000₹1,00,000
Total₹14,00,000₹9,50,000₹8,00,000
  • One-time registration charge: ₹2,000 extra.
  • Fees include tuition, software development and experiential learning charges. All prices are in INR.

Investing in potential

Scholarshipsat Quad.

Quad is committed to supporting talented and deserving students through a comprehensive scholarship programme. Scholarships are awarded on academic performance.

  1. Quad Women in AI Scholarship

    Up to 50% scholarship for women.

  2. First Mover's AI Scholarship

    Up to 50% scholarship for early-bird entries.

  3. Udaan Scholarship

    For meritorious students — the top 10 percentile of Quad exam scorers.

  4. Future Leaders Scholarship

    For change makers, awarded on the basis of a 1-on-1 personal interview.

Education loan partners

FAQs

Frequently askedquestions.

What is the duration of the CS (AI & ML) programme?

Four years, full-time and on campus, including a mandatory six-month industry internship.

What are the eligibility criteria for admission?

Class XII from any recognised board, the QAT aptitude test, and a 1:1 online interview assessment.

Does the programme offer placement support?

Yes — a dedicated placement team, a 1:1 career coach, resume reviews and mock interviews with practising engineers.

Are there any scholarship opportunities?

Yes. Four scholarship tracks are offered, awarded on academic performance, the Quad entrance test and a personal interview.

Still have questions?