M. Tech in

Artificial Intelligence & Data Science

M.Tech in Artificial Intelligence & Data Science is a 2-year Post graduate engineering degree.

About the M.Tech in Artificial Intelligence & Data Science Program

The M.Tech program in Artificial Intelligence & Data Science at Sigma University is meticulously crafted to equip individuals with advanced knowledge and skills in cutting-edge technologies. Our comprehensive curriculum covers a wide range of topics, including machine learning algorithms, deep learning, natural language processing, and big data analytics. Through hands-on projects, research opportunities, and industry collaborations, students gain practical experience and insights into real-world applications of AI and data science. Post Graduates emerge as highly skilled professionals ready to tackle complex challenges and drive innovation in fields such as AI engineering, data science research, predictive analytics, and more.

Affiliation

Sigma University

Approvals

AICTE, New Delhi & UGC, New Delhi

Duration

02 Years

Eligibility for Admission

• BE/BTech in Computer Science or Artificial Intelligence with 50% aggregate
• MTech in AI entrance exam includes GATE, IPU CET, IIT JAM, and TANCET.

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
1MAI01
Applied Mathematics
3
2
0
5
4
I
1MAI02
Introduction to Machine Learning
3
0
2
5
4
I
1MAI03
Data Mining and Warehousing
3
0
2
5
4
I
1MAI04
Introduction to Cloud Fundamental
3
0
2
5
4
I
1MAI05
Advanced Python Programming
3
0
2
5
4
15
2
8
25
20
Sem Course Code Course Name Theory (T) Tutorial (T) Practical (P) Hrs Credit Detail Syllabus
II
2MAI01
Deep Learning
4
0
2
6
5
II
2MAI02
Natural Language Processing
3
0
0
3
3
II
2MCS03
Research Methodology
3
0
0
3
3
II
2MAI03
Advance Machine Learning
3
0
2
5
4
II
2MAI04
Statistical Foundation for Machine Learning
4
0
2
6
5
17
0
6
23
20

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