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School of Business
School of Emerging Technologies
Executive Programme
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A Bachelors
Where You
Learn by Building
See how engineering is taught in our Bachelors in Data Science & AI Programme


Undergraduate
Programme in
Data Science & AI
Format
Full Time
Opt-in Residential
Cohort Starting
August ‘25
Round 2 Applications Closed
Eligibility
Class XIIth
(With Maths)
Duration
4 Years
3 Years at Masters' Union with 1 Year at Illinois Tech (US Track) or Year Long Internship (Regular Track)
Hands-on
Engineering
Education
Our course is taught by AI leaders in topmost
companies such as
PwC, Ola Krutrim, Microsoft, Google, American Express,
Paypal etc.

An applied low-theory curriculum
co-built by PwC & Ola Krutrim
Our curriculum takes students outside the classroom
and
inside the labs & industries that are creating
the future.
5000 Sq ft. maker lab to build prototypes
Visit 50+ factories and offices
Build 4 real products; once every year

Build products with 1:1
mentorship
from CTOs & Ivy League faculty
Rather than in large lecture halls, learn 1:1 or in
small candid
groups from people who
build cutting edge
products daily in
the industry.
30+ CTOs & product heads mentoring
1:5 mentor-to-student ratio
Mentors from Google, MIT, NASA

Internships start in year
1
and not in the final year only
Work at leading tech firms like Microsoft, Razorpay,
and
Krutrim and
gain real-world experience in product, data, and
engineering roles from 1st Year.
Internships in Microsoft, Razorpay, Krutrim
75% students intern within 9 months
Internships across India, UAE, Singapore

Build & ship one unique AI
product
in each term with real world impact
All assignments are
rooted in the real world and not
focussed
on memorization, hypothetical numericals
or dated case
studies.
40+ shipped products before graduation
10K+ real users on student-built apps
Products demoed to 100+ VCs & CXO




40+Empaneled
Industry
Experts
Learn from those who’ve been there, done
that. They are building products
in the morning and teaching how to do it in the evening

Prof. Nandini
Ph.D

Prithvi Dhingra
Director, Data & Innovation

Dr. Tathagata Dasgupta
Chief Data & Analytics Officer

Edward W Rogers
Former Chief Knowledge Officer

Mr. Nitin Gaur
Former Director, Financial Sciences

Ujjyaini Mitra
Former Chief Data Officer

Mr. Shubhranil Kundu
Former Associate Researcher

Mr. Subhonil Ghoshal
Former MD

Mr. Aquib Ajani
Chief Technology Officer

Mr. Vaibhav Gupta
Sr. Product Manager

Akshay Gurnani
Co-founder and CEO

Malthi Satish
Former Director of PM

Manoj Kohli
Former Country Head

Rajnish Virmani
Former India Head
