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M.Tech in Computer Science and Engineering With Specialization in Data Science/ Cyber Security/ Artificial Intelligence & Machine Learning (AI&ML)

 

Computer Science College in India

COURSE OFFERED

DURATION (IN YEARS)

ELIGIBILITY CRITERIA

M.Tech in Computer Science & Engineering With Specialization In Cyber Security/ Data Science/ 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.

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

M.Tech in Computer Science & Engineering with choice based specialization in Data Science/ Artificial Intelligence & Machine Learning (AI&ML)/ Cyber Security is a specialized program aimed at providing the student with in depth knowledge of two key domains in Computer Science and Engineering. Data Science, AI & ML and Cyber Security, has acquired widespread acceptance and adoption among enterprise business applications and research community. Cyber world is facing new challenges every day from hackers and malicious programmers across the globe. Data Science is actively used for information processing and management by industry practitioners and scientific community who are interested in creating a commercial product for conceptual data science or developing content management applications. Cyber Security is a broad aspect and has got its application in all forms of data related operations. 

COURSE STRUCTURE - Data Science

1st Semester

Sl. No

Course Title

Hours per Week

Credit Units

Lecture

Tutorial

Practical

1

Mathematical Foundation of Data Science

3

0

0

3

2

Advanced Data Structure and Algorithms

3

0

4

5

3

Data Science

3

0

4

5

4

Fundamentals of Machine Learning and Artificial Intelligence

3

0

0

3

5

Programming for Data Science

3

0

4

5

6

Audit Course

2

0

0

0

 

Number of Hours

17

0

12

 

Total Number of Hours:29

Total Credits:

21

2nd Semester

Sl. No

Course Title

Hours per Week

Credit Units

Lecture

Tutorial

Practical

1

Big Data Analytics

3

0

4

5

2

Data Pre-processing and Visualization

3

0

4

5

3

Data Warehousing and Data Mining

3

0

4

5

4

Research Methodology and IPR

2

0

0

2

5

Mini Project with Seminar

0

0

4

2

 

Number of Hours

11

0

16

 

Total Number of Hours:27

Total Credits:

19

3rd Semester

Sl. No

Course Title

Hours per Week

Credit Units

Lecture

Tutorial

Practical

1

Scalable Data Science for Industrial Applications

3

0

4

5

2

Natural Language Processing

3

0

0

3

3

Dissertation-I

0

0

20

10

 

Number of Hours

6

0

24

 

Total Number of Hours:30

Total Credits:

18

4th Semester

Sl. No

Course Title

Hours per Week

Credit Units

Lecture

Tutorial

Practical

1

Dissertation-II

0

0

32

16

 

Number of Hours

0

0

32

 

Total Number of Hours:32

Total Credits:

16

COURSE STRUCTURE - AI&ML

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

 

Number of Hours

17

0

12

 

Total Number of Hours:29

Total Credits:

21

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

 

Number of Hours

13

0

12

 

Total Number of Hours:25

Total Credits:

19

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

 

Number of Hours

6

0

24

 

Total Number of Hours:30

Total Credits:

18

4th Semester

Sl. No

Course Title

Hours per Week

Credit Units

Lecture

Tutorial

Practical

1

Dissertation-II

0

0

32

16

 

Number of Hours

0

0

32

 

Total Number of Hours:32

Total Credits:

16

FACULTY MEMBERS

Dr. Pranam Paul, Assistant Professor

Mr. Paul has 15 years of teaching and research experience. He did his PhD in Engineering where he specialized in Cryptography and his research areas were primarily Cryptography, Data Security, DBMS, Computer Graphics, Image Processing, LTP, etc. His current research project titles “A Solution towards Big Data Storage and Data management for Efficient Data Handling in Secured File System Based Cloud Environment through Services” is under the process of review in WOS – B, Department of Science and Technology (DST), Govt. of India. He had featured in the “Top 100 Engineers, 2011” and “Outstanding 2000 Intellectuals of the 21st Century, 2012” lists selected by International Biographical Centre, Cambridge, England. He has 11 National and 79 International Publications on his name. He has been to 7 National and 4 International cCnferences organized by various groups.

Dr. Poulami Das, Assistant Professor

Dr. Das has 5 years of teaching and research experience. She did her PhD in CSE and her area of research was Soft Computing. She has had 3 International Publications on her name. Apart from this, she attended 1 National and 5 International Conferences.

Ms. Ruchi Sharma, Teaching Associate

Ms. Sharma has 4 Years of teaching and 6 years of research experience in the area of Software Testing and Software Security & Reliability. She is currently pursuing her PhD in CSE. She has had 10 International Publications and has attended 10 International conferences.

Mr. Bilas Haldar, Teaching Assistant (Lab. Technician)

Mr. Haldar has more than 7 years of teaching and a year of research experience in the fields of Algorithms, Cryptography, AI and Machine Learning. He did his M.Tech. in Software Engineering.

 

EXPERT COMMITTEE: CYBER SECURITY

Dr. Amit Chowdhury

Ex Associate Director-CDAC, Kolkata


EXPERT COMMITTEE: DATA SCIENCE AND AI&ML

 Prof. Utpal Garain

Professor, ISI Calcutta

 Prof. Aditya Bagchi

Professor, Ramkrishna Vivekananda University, Belur

Mr. Kushal Banerjee

Ex Head, University Relationship, TCS

 

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

CAREER PROSPECTS

Cyber world is facing new challenges every day from hackers and malicious programmers across the globe. Banking, E-commerce, Confidential Industrial Data, Forensic Industries and Defence related data and Employee data of big and small enterprises needs security implementations in place. This specialization remained in demand by government and nongovernment organizations for long time. Some of the top companies are Mu Sigma, Fractal Analytics, Crayon Data, Latent View, Absolutdata, Global Analytics, IBM, Convergytics. Data Analytics is creating new jobs and changing existing ones. Data Analytics discipline has got wide acceptance in forecasting, planning and e-commerce enterprises. Data analytics has played a big role in big establishments dealing with huge amounts of information such as hospitals, banks and insurances, prediction of customer behaviour, detect trends, cross-selling, customer relationship management analytics, demand prediction and failure prediction. All the specializations offered through this program have got wide acceptance in industries and enterprises and prepares student for best of practices in respective specialization. Some of the top companies are Aspirant Infotech Private Limited, CAT CyberLabs, CYBER COPS India, Cyber Octet Pvt. Ltd., Cyberoam Technologies, Delta, Delta Protective Services, etc.

 

Get In Touch

  • City Office: Monday - Friday: 11:00 AM - 6:00 PM
  • Saturday (1st, 3rd, 5th) - 11:00 AM - 6:00 PM
  • Campus: Monday - Friday 10AM - 4PM
  • Phone: +91 7605081710 / +91 9163610909 
  • Email: contact@tnu.in

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