| Course Offered | Duration (in Years) | Eligibility |
| M.Tech In Computer Science & Engineering With Specialization In Data Science | 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 |
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.
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 prepares a student for most lucrative careers in the space of Data Science, Data Engineering and Advanced Analytics. The programme provides extensive knowledge on most popular data science techniques.
Data Scientist positions are new roles where 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 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 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.
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.
|
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 |
|
TOTAL |
17 |
0 |
12 |
21 |
|
|
29 |
|||||
|
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 |
|||
|
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 |
|||
|
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 |
|||
