B. Tech in

Artificial Intelligence & Data Science

B.Tech in Artificial Intelligence & Data Science is a 4 year undergraduate engineering degree

B.Tech in Artificial Intelligence and Data Science Program Overview

The B.Tech program in Artificial Intelligence & Data Science is meticulously crafted to prepare individuals for the dynamic landscape of technology. This comprehensive curriculum delves into various facets of AI, machine learning, and data science, covering topics such as algorithms, data analysis, and predictive modeling. Through hands-on projects, students acquire practical skills and gain insights into real-world applications of AI and data science. Graduates emerge equipped to embark on fulfilling careers as AI engineers, data scientists, machine learning specialists, and more, shaping the future of technology across diverse industries.

Affiliation

Sigma University

Approvals

AICTE, New Delhi & UGC, New Delhi

Duration

04 Years

Eligibility for Admission

• Candidate shall have passed Higher Secondary Examination (Grade 12) or equivalent stage of education
• Diploma Engineering holder will be eligible for admission in Semester-III of B.Tech Program will be considered as D2D admission

Admission Schedule

As per the directives of Admission Committee. Usually from May to October every year.

How to Apply?

Visit: https://admissions.sigmauniversity.ac.in/
Call: +91 7567176000

Start Date

July 2025

College / Campus

Faculty of Engineering & Technology (Sigma Institute of Engineering), Sigma University Vadodara.

Shifts (Working hours)

10: 00 am to 05:00 pm

Curriculum

Sem Course Code Course Name Theory (T) Tutorial (T) Practical (P) Hrs Credit Detail Syllabus
I
1BCU01
Calculus
3
0
0
3
3
I
1BAI01
Basic Computer Engineering
3
0
2
5
4
I
2BEE01
Fundamentals of Electrical Engineering
3
0
2
5
4
I
2BEP01
Engineering Physics
3
0
2
5
4
I
2BCO01
Computer Programming
2
0
2
4
3
I
1BAI02
Advance Excel
0
0
4
4
2
I
1BCS01
Basic Communication Skills
2
0
0
2
2
I
1NCC01/1NSS01/1SPO01
NCC/NSS/Sports
0
0
2
2
0
16
0
14
30
22
Sem Course Code Course Name Theory (T) Tutorial (T) Practical (P) Hrs Credit Detail Syllabus
II
2BHE01
Higher Engineering Mathematics
3
0
0
3
3
II
1BCH01
Engineering Chemistry
3
0
2
5
4
II
2BAI01
Web Technology
2
0
2
4
3
II
1BCL01
Fundamentals of Civil Engineering
3
0
2
5
4
II
2BAI02
Python Programming
2
0
2
4
3
II
2BAC01
Advance Communication Skills
2
0
0
2
2
II
1BES01
Environmental Science & Sustainable Development
3
0
0
3
3
II
2NCC01/2NSS01/2SPO01
NCC/NSS/Sports (II)
0
0
2
2
0
18
0
10
28
22

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Leading companies hire our graduates for their industry-ready skills, strong academics, and hands-on experience.

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