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

 

Computer Science College in India

COURSE OFFERED

DURATION (IN YEARS)

ELIGIBILITY CRITERIA

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.

 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 acquired widespread acceptance and adoption among Enterprise business applications and research community. The curriculum structure is designed by the academicians from the 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 the least software tools that provide students with practical skills. Internships and Research Projects in various private and government organizations are part of the curriculum. Students will have the opportunities to be engaged in full-time projects with real-life applications, in various research institutes 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 practice of the students of these programs. 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 learned during the program. Frequent Workshops, Technical Events, Guest Lectures enable students to upgrade their knowledge and skills.

Specialization in Cyber Security

The technological growth, the internet, and availability and sharing of information have tremendously increased information threats to organizations and individuals making it a challenge for users and system administrators to preserve security. Cyber Security is attracting many organizations and professionals due to the need for monitoring and maintaining data and networks from cyber threats. Due to the requirement of sophisticated knowledge and tools to keep systems secure, there is a big need in India and around the world for security professionals who are well educated about the various aspects of security. The main objective of this program is to train students to become information security professionals for high-end jobs in the security industry. The program is strategically designed to provide hands-on experience on prevention, detection, and recovery tools to safeguard confidential information. The students experience and learn the most recent tools and techniques that are being used by professionals. Plans to have some modules taught by experts from the industry.

Specialization in Data Science

Data Science is one of the emerging fields in India, and the scope for securing employment in diverse fields is high. Data Science is gaining prominence in academia and industry. Data science witnessing applications in diverse research disciplines. Introduction to this program opens up several new opportunities in science and engineering research. The current curriculum covers areas that prepare a student for the most lucrative careers in the space of Data Science, Data Engineering, and Advanced Analytics. The program provides extensive knowledge of the most popular data science techniques.

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.

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 - Cyber Security 

Semester I (1st Year) Curriculum

Sl. No

Type of Course

Course Title

Hours per Week

Credit Units

Lecture

Tutorial

Practical

1

Professional Core

Fundamentals of Cyber Security

3

0

0

3

2

Professional Core

Advanced Data Structure and Algorithms

3

0

4

5

3

Professional Core

Cybercrime Investigation and Forensics

3

0

4

5

4

Professional Core

Systems and Network Security

3

0

4

5

5

Engineering Science

Software Auditing and Secure Coding

3

0

4

5

 

 

 

 

 

 

 

 

 

Number of Hours

15

0

16

 

 

Total Number of Hours:31

Total Credits:

23

Semester II (1st Year) Curriculum

Sl. No

Type of Course

Course Title

Hours per Week

Credit Units

Lecture

Tutorial

Practical

1

Professional Core

Cryptography and Steganography

3

0

4

5

2

Professional Elective

Malware Analysis & Threat Modeling

3

0

4

5

3

Professional Elective

ISMS and Risk Management

3

0

4

5

4

Engineering Science

Research Methodology and IPR

2

0

0

2

5

Project

Mini Project with Seminar

0

0

4

2

 

 

Number of Hours

11

0

16

 

 

Total Number of Hours:27

Total Credits:

19

Semester III (2nd Year) Curriculum

Sl. No

Type of Course

Course Title

Hours per Week

Credit Units

Lecture

Tutorial

Practical

1

Professional Core

Data Privacy and Biometric Security

3

0

4

5

2

Professional Elective

Cyber Law

3

0

0

3

3

Project

Dissertation-I

0

0

20

10

 

 

Number of Hours

6

0

24

 

 

Total Number of Hours:30

Total Credits:

18

Semester IV (2nd Year) Curriculum

Sl. No

Type of Course

Course Title

Hours per Week

Credit Units

Lecture

Tutorial

Practical

1

Project

Dissertation-II

0

0

32

16

 

 

Number of Hours

0

0

32

 

 

Total Number of Hours:32

Total Credits:

16

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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. Susanta Mitra

Pro-Vice-Chancellor and Director - School of Science & Technology

Prof. (Dr.) Susanta Mitra has a total experience of more than 34 years covering Academics and IT industries including few renowned multinationals. He did his Ph.D. in the Computer Science domain from Jadavpur University, Kolkata. He has active research interests in emerging areas of technologies and innovative projects. His research interests include Data Science & Analytics, Machine LearningE-learning, IoT, and online social networking. He has published several papers and book chapters in International Journals and Conferences. He has prepared a Research Monograph for an International Publisher. He has worked on several International and National IT projects in India and abroad.

Dr. Partha Mukherjee, HoD

Dr. Mukherjee has been teaching for the last four years and has an overall industry experience of twenty-four years. He has a research experience of about fifteen years and has done his Ph.D. in Multimedia Database Management System and Data Streaming for Data Analytics. He holds various certifications such as PMP, Lead Auditor Certificate on BS 7799, Certificate on Requirements Management with Rational Requisite Pro, etc. Currently, he has 7 National and 3 International publications to his name. He has been to 9 International Conferences organized by various forums.

Dr. Pranam Paul, Assistant Professor

Mr. Paul has 15 years of teaching and research experience. He did his Ph.D. 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 titled “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 in his name. He has been to 7 National and 4 International conferences organized by various groups.

Dr. Kalyanashis De, Assistant Professor

Dr. De has been 8 years of teaching and an overall research experience of 9 years in the field of Condensed Matter Physics. He did his Ph.D. in Physics and is currently involved in a project regarding the effect of A-site sophisticated disorder on the Electromagnetic Properties of ‘A-site ordered RBaMn2O6 (R= rare earth)’ perovskite. He has received several rewards and recognition, some of which are Dr. D. S. Kothari Postdoctoral Fellowship by UGC, Postdoctoral Fellowship by FCT, Portugal, and Senior Research Fellowship by Indian Association from the Cultivation of Science, Kolkata. He has 10 International Publications in his name. Dr. De has been the PI of a project granted by UGC-DAE in the CRS scheme for 3 years (2017-19).

Dr. Ayan Chatterjee, Assistant Professor

Dr. Chatterjee has 2 years of teaching experience. He did his Ph.D. in Mathematics and he has overall 5 years of research experience in the areas of Mathematical Modelling of Contaminant Flow in Groundwater, Mathematical Modelling of Surface Water flow, Geo-Mathematical Modelling, and Transport in Porous Media. He has published 8 Research Articles in International Journals (5 SCI and 3 Scopus) and presented 2 articles at International Conference.

Dr. Mostaid Ahmed, Assistant Professor

Dr. Ahmed has 2 years of teaching experience. He did his Ph.D. in Applied Mathematics and his research areas were Solid Mechanics, Theory of Elastic Waves, Geodynamics, and Mathematical Modeling. He has had 11 International Publications to his name and has attended 3 International Conferences as well.

Dr. Manashi Chakraborty, Assistant Professor

Dr. Chakraborty has 13 years of teaching experience and has an overall research experience of 11 years. Currently, she has been working on projects involving Dependence of Exchange Bias on Interparticle Interaction and Improving multiferroicity with RGO/GO/Graphene-based Nanocomposites.  She did her Ph.D. in Chemistry and her areas of research have been Synthetic Inorganic Chemistry, Coordination Chemistry, and Nanomaterials Synthesis, Characterization, and Magnetic Properties Study. She has a National and 5 International Publications in her name.

Dr. Debasis Das, Assistant Professor

Dr. Das has 15 years of teaching experience and an overall research experience of 5 years. He holds a Ph.D. in Engineering with research expertise in material selection in mechanical design, decision making, and soft computing in engineering design, Design optimization. He has 3 research publications in Peer-Reviewed International Journal and 3 National and International Conference Papers to his credit.

Dr. Mushtaq Ahmad, Assistant Professor

Dr. Ahmad has 4 years of teaching experience. He holds a Doctorate in Commerce and his research area was Marketing. He has 12 National and International Publication. He has attended 3 National and 5 International Conferences organized by various groups. 

Dr. Abhishek Ghosh, Assistant Professor

Dr. Ghosh has 6 years of research experience in the adoption & diffusion of innovation and nutrition-sensitive agriculture. He did his Ph.D. in Agricultural Extension and has 4 International Publications. He has attended a National and an International Conference.

Dr. Santanu Ray Chaudhuri, Assistant Professor

Dr. Chaudhuri has 19 years of teaching experience. He has done his Ph.D. in Economics where he specialized in Economic Inequality and Human Capital & Growth. He has 12 years of research experience in Economic Growth, Human Capital & Inequality, Labour Economics, and Environmental Economics as well as 2 years of industry experience. He has had various awards and accolades bestowed upon him like a State Funded Scholarship, selected as a team member in the Capacity Building Project organized by Indian Statistical Institute, Kolkata, Resource Person on ‘Macroeconomics and Public Policy’ at South State Gujarat University, Surat and Resource Person on ‘Illicit Fund Transfer’, Gokhale Institute of Politics and Economics, Pune. He has 7 National and 6 International Publications. He has attended 2 National Conferences.

Dr. Amit Sarkar, Assistant Professor

Dr. Sarkar has 5 years of teaching experience and an overall research experience of 20 years. He did his Ph.D. in Microbiology and his research area was Molecular Genetics of Pathogenic Bacteria. He has 9 International Publications in his name. He has attended 2 International Conferences.

Dr. Poulomi Chakraborty, Assistant Professor

Dr. Chakraborty has been teaching for more than a year now and has an overall research experience of three years in “Exploration of Natural and Synthetic Molecule for the Inhibition of Microbial Biofilm”. She did her Ph.D. in Biotechnology and has ten international publications to her name, to date. Apart from this, she has attended five national and three international seminars organized by various groups.

Prof. Suman Haldar, Associate Professor

Prof. Haldar has been teaching for fifteen years now. He has research experience of six years in Electric vehicles, IoT and Wireless communication. He is currently pursuing his Ph.D. in ECE and has earlier completed his MTech., B.Tech. and Diploma on the same. To date, he has five national and four international publications to his name.

Mr. Subrata Routh, Faculty

Mr. Routh has 20 years of global experience in academics and industry. He did his MBA in Hotel Management. He has experience working with many international hotels such as Hotel Intercontinental, Ritz Carlton, Bahrain, and more. 

Dr. Debobani Biswas, Assistant Professor

Dr. Biswas has been teaching for twenty years and has a collective research experience of eight years. She did her Ph.D. in English Literature and her research area was “African American Drama”. To date, she has had two international and 1 National Publication to her name. Apart from this, she has attended 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 Ph.D. in CSE. She has had 10 International Publications and has attended 10 International conferences.

Mr. Jaydeb Mondal, Teaching Associate

Mr. Mondal has been teaching for the last two years and has an overall research experience of seven years. He did his MTech. in CSE and his area of research was “Image and Video Processing” and “Machine Learning”. Also, he was awarded the TCS Research Scholarship. To date, he has had two international publications and has attended an international conference as well.

Dr. Srijani Banerjee, Faculty (Visiting)

Dr. Banerjee has 3 years of teaching and an overall 5 years of industry experience. She did her Post-Graduation (MPT) with a specialization in Cardiothoracic Disorders and ICU Management. She is also a member of the Indian Association of Physiotherapy. Her interest areas are Geriatric Care, Dementia, and Mental Health.

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 Chaudhuri

Former Associate Director-CDAC, Kolkata


EXPERT COMMITTEE: DATA SCIENCE AND AI&ML

Prof. Utpal Garain (Honorary Member)

Professor, ISI Calcutta

Prof. Aditya Bagchi

Professor, Ramkrishna Vivekananda University, Belur

Mr. Kushal Banerjee

Former Head, University Relationship, TCS

 

LABORATORY

Computer Science Lab

 

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

Specialization in Cyber Security

On completion of this program successfully, the graduates can easily apply for the high-pay job roles in various organizations working on Systems Security, the Computer Systems Design field, Network Security, and more.  The students can avail themselves of plenty of prospective job opportunities such as - Cyber Security Architect, Security Application Programmer, Security Analyst, Chief Information Security Officer (CISO), Penetration Tester, Network Security Engineer, Security Researcher, and more. Postgraduates shall find opportunities in renowned MNCs and public sectors like DRDO, CDAC, ISRO. The candidates can pursue Ph.D. or move into the field of research in India or abroad. The scope of research is much higher. Students can also apply for the job of Assistant Professor in IITs, NITs, IIITs, government / private Universities, and engineering institutes.

Specialization in Data Science

Data Scientist positions are new roles where the industry is looking for trained resources. There is a perceivable large gap between the number of opportunities and the trained resources. For a professional who's already doing a job, then it may be a bit tricky to switch to a job as a Data Scientist. A better option is that they can leave their job to pursue a Master's professionally. This will give students more time to understand Data Science in-depth and then apply for jobs when they are ready. The power of a Master's degree in Data Science is the setting pathways for students to be a leader in that field. Govt. of India and Private sectors are providing lots of endorsements and thrust in the areas of Data Science. The Postgraduates in M.Tech will find themselves identifying cutting-edge research opportunities at various Research Laboratories as well as several industries which are currently involved in this field. The candidates can find many job opportunities in abroad as well. The candidates can pursue Ph.D. or move into the field of research in India or abroad. The scope of research is much higher. Students can also apply for the job of Assistant Professor in IITs, NITs, IIITs, government / private Universities, and engineering institutes.

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

On completion of this program, students can opt for jobs in numerous sectors and can easily get jobs as an AI Engineer, Game Programmer, Software Developer, Robotics Engineer, Machine Learning Researchers, Machine Learning Engineer, Software Engineer (Machine Learning). Research opportunities also exist in 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 of research is much higher. Students can also apply for a job as 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 cutting edge 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.

Get In Touch

  • Head Office:
  • Mon - Fri: 11:00 AM - 6:00 PM
  • Saturday (1st and 3rd): 11:00 AM - 6:00 PM
  • Phone No.: +91 7044446999
  • The Campus:
  • Mon - Fri: 10:00 AM - 4:00 PM
  • Phone No.: +91 7044446888
  • Email: contact@tnu.in

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