M.Tech in CSE (AI & ML)

Know More About M.Tech in CSE (AI & ML)

Course Offered Duration (in Years) Eligibility
M.Tech In Computer Science & Engineering With Specialization In Data Science / Cyber Security / AI & ML 2 B.Tech / B.E in Computer Science & Engineering (CSE), Information Technology (IT), Electronics & Communication Engineering (ECE), Electrical Engineering (EE) and Robotics Engineering with 60% marks or above.
MCA with 55% marks or above and preceded by BCA or B.Sc in Mathematics / Statistics (Hons.) with 50% marks or above.
M.Sc. in Computer Science / Information Technology/ Computer Technology/ Mathematics / Statistics with 55% marks or above preceded by B.Sc in the corresponding subject with 50% marks or above.

A Personal Interview will be conducted by the Competent Authority of the University

Disclaimer: TNU reserves the right for relaxation in admission criteria for the most deserving candidates.

M.Tech in Computer Science and Engineering is offered with choice based specialization in Cyber Security / Data Science / AI and ML that has acquire widespread acceptance and adoption among Enterprise business applications and research community. The curriculum structure is designed by the academicians from Indian Statistical Institute (ISI), Jadavpur University and industrial experts from Tata Consultancy Services (TCS), Centre for Development of Advanced Computing (CDAC). The state of the art Computer Labs are well equipped with least software tools that provide students with practical skills. Internships and Research Projects in various private and government organizations is part of the curriculum. Students will have the opportunities to be engaged in full time projects with real life applications, in various research institute like, ISRO, DRDO, CDAC, ISI, University of Calcutta, Jadavpur University, NITs or in companies inside and outside West Bengal. Publications in National and International Journals will be a regular practise of the students of these programmes. Benefit from Case Studies, Simulations, Virtual Labs & Remote Labs allow learners to apply concepts to simulated and real-world situations. The Dissertation enables students to apply concepts and techniques learnt during the programme. Frequent Workshops, Technical Events, Guest Lectures enable students to upgrade their knowledge and skills.

AI & ML are two of the very close and fastest growing fields in contemporary scenario. The major goals of AI & ML are to achieve success in knowledge reasoning planning, machine learning, and natural language processing and computer vision. The program focuses on training students to become critical thinkers and analytical experts in research and industry. It also aims in inculcating innovative learning exercises of data engineering, data visualization, feature engineering, model fitting and reasoning. The program is designed to mould and encourage students to reason with data and build models that predict the future outcomes. Expose students to the most recent developments in the area of Data Cleaning, Data Visualization, Machine Learning Models, Artificial Intelligence and their utilization in industry and research. This program will provide students advanced theoretical as well as practical knowledge of the fundamentals of Artificial Intelligence and Machine Learning and its applications in daily life.

Read More

Expert Committee

Career Prospects

On completion of this programme Students can opt for jobs in numerous sectors and can easily get jobs as a AI Engineer, Game Programmer, Software Developer, Robotics Engineer, Machine Learning Researchers, Machine Learning Engineer, Software Engineer (Machine Learning). Research opportunities also exist at various public and private industries including reputed MNCs

and various research institutes. The candidates can pursue Ph.D. or move into the field of research in India or abroad. The scope in research is much higher. Students can also apply for a job of Assistant Professor in IITs, NITs, IIITs, government / private Universities and engineering institutes.

M.Tech Programmes in Cyber Security, Data Science, Artificial Intelligence and Machine Learning will equip the students with the necessary skills to work with the innovative technologies in industries on one hand and pursue high-end researches in premium Universities / Institutes in India and abroad on the other. Research opportunities are growing day by day for these three emerging specialized fields and it will continue. The scope will be there also to pursue Ph.D. at Universities / Institutes to become eligible for a Professor Job in University / Institute or as a Scientist in Research organizations.

Read More

Specialization in Artificial Intelligence & Machine Learning (AI & ML)

AI & ML are two of the very close and fastest-growing fields in contemporary scenarios. The major goals of AI & ML are to achieve success in knowledge reasoning planning, machine learning, and natural language processing, and computer vision. The program focuses on training students to become critical thinkers and analytical experts in research and industry. It also aims in inculcating

innovative learning exercises of data engineering, data visualization, feature engineering, model fitting, and reasoning. The program is designed to mold and encourage students to reason with data and build models that predict future outcomes. Expose students to the most recent developments in the area of Data Cleaning, Data Visualization, Machine Learning Models, Artificial Intelligence and their utilization in industry and research. This program will provide students advanced theoretical as well as practical knowledge of the fundamentals of Artificial Intelligence and Machine Learning and its applications in daily life.

Read More

INTERNSHIP & ACHIEVEMENTS

  • Arindam Halder completes his Internship program from CRIS – Centre for Railway Information Systems
  • B.Tech CSE Student of TNU completes her Internship program from IIT, Kanpur
  • Students completes their Internship program from WABCO

OUR FACULTY

Course Structure

  • Semester 1
  • Semester 2
  • Semester 3
  • Semester 4

1st Semester

Sl. No

Course Title

Hours per Week

Credit Units

Lecture

Tutorial

Practical

1

Mathematical Foundation of Machine Learning

3

0

0

3

2

Advanced Data Structure and Algorithms

3

0

4

5

3

Fundamentals of Artificial Intelligence and Machine Learning

3

0

0

3

4

Supervised Learning I

3

0

4

5

5

Programming in Python

3

0

4

5

6

Audit Course

2

0

0

0

TOTAL

17

0

12

21

29

2nd Semester

Sl. No

Course Title

Hours per Week

Credit Units

Lecture

Tutorial

Practical

1

Supervised Learning II

3

0

4

5

2

Data Pre-processing and Visualization

3

0

4

5

3

Industrial Application of Machine Learning

3

0

4

5

4

Research Methodology and IPR

2

0

0

2

5

Mini Project with Seminar

2

0

0

2

TOTAL

13

0

12

9

25

3rd Semester

Sl. No

Course Title

Hours per Week

Credit Units

Lecture

Tutorial

Practical

1

Unsupervised Learning

3

0

4

5

2

Deep Learning and Reinforcement Learning

3

0

0

3

3

Dissertation-I

0

0

20

10

TOTAL

6

0

24

18

30

4th Semester

Sl. No

Course Title

Hours per Week

Credit Units

Lecture

Tutorial

Practical

1

Dissertation-II

0

0

32

16

TOTAL

0

0

32

16

32

Apply Now
DOWNLOAD BROCHURE