Overview
M.Sc. Computer Science(Data science specialization) is an interdisciplinary field that uses scientific methods, processes, algorithms, and systems to extract knowledge and insights from structured and unstructured data. It involves the use of techniques from statistics, data analysis, machine learning, and computer science. Data science can be applied in a wide range of fields, including business, healthcare, finance, and government, among others. The program emphasizes the development of critical thinking, problem-solving, and collaboration skills, which are essential for success in the professional world. The program is designed to produce graduates who can apply their knowledge to real-world situations and advance technology to solve complex computational problems and contribute to the society.
M.Sc. Computer Science (Data Science Specialization) Course Matrix (for the Batch 2024-25)
III Semester
Course Code |
Name of the Course |
LTP |
Cerdits |
CIA Marks |
ESE |
Total Marks |
MCS3SDSEC-01 |
Statistics for Data Science |
4:2:0 |
5 |
30+15(T) |
70+35 |
150 |
MCS3MLEC-02 |
Machine Learning |
3:0:4 |
5 |
30+15 |
70+35 |
150 |
MCS3DVTAC-03 |
Cloud Computing for Data Science |
4:0:2 |
5 |
30+15 |
70+35 |
150 |
MCS3BDAEC-04 |
Big Data Analytics |
4:2:0 |
5 |
30 |
70 |
100 |
MCS3DVTAC-05 |
Data Visualization |
2:0:2 |
2 |
15 |
35 |
50 |
OE |
Open Elective |
2:0:2 |
2 |
15 |
35 |
50 |
|
Internship Report |
|
2 |
|
50 |
50 |
|
Total |
|
26 |
|
|
750 |
IV Semester
Course Code |
Name of the Course |
LTP |
Cerdits |
CIA Marks |
ESE |
Total Marks |
MCS4AMLEC-05 |
Advanced Machine Learning |
3:0:4 |
5 |
30+15 |
70+35 |
150 |
MCS40TEC-06 |
Optimization Techniques |
4:2:0 |
5 |
30+50(T) |
70+35 |
150 |
MCS4IOTEC – 07 |
Internet of Things |
4:0:0 |
4 |
30 |
70 |
100 |
PR – 01 |
Project / Viva Voce |
12 |
8 |
50 |
150 |
200 |
Total |
|
|
22 |
|
|
600 |
M.Sc. Computer Science (Data Science Specialization) Course Matrix (for the Batch 2025-26)
I Semester
Course Code |
Name of the Course |
LTP |
Cerdits |
CIA Marks |
ESE |
Total Marks |
CC-01 |
Advanced File Structures |
3:0:4 |
5 |
30+15 |
70+35 |
150 |
CC-02 |
Advanced Database Management Systems |
3:0:4 |
5 |
30+15 |
70+35 |
150 |
CC-03 |
Programming in Python for Data Science |
3:0:4 |
5 |
30+15 |
70+35 |
150 |
CC-04 |
Mathematics for Data Science |
4:2:0 |
5 |
30+15 |
70+35 |
150 |
AC-01 |
Professional Communication |
2:0:0 |
2 |
15 |
35 |
50 |
AC-02 |
Advanced Excel for Data Analytics |
2:0:0 |
2 |
15 |
35 |
50 |
|
Total |
|
24 |
|
|
700 |
II Semester
Course Code |
Name of the Course |
LTP |
Cerdits |
CIA Marks |
ESE |
Total Marks |
CC-0 |
Advanced Java Programming |
3:0:4 |
5 |
30+15 |
70+35 |
150 |
CC-06 |
Advanced Java Programming |
3:0:4 |
5 |
30+15 |
70+35 |
150 |
CC-07 |
Full Stack Web Development |
3:0:4 |
5 |
30+15 |
70+35 |
150 |
CC-08 |
Natural Language Processing |
4:2:0 |
5 |
30+15 |
70+35 |
150 |
AC-03 |
Cyber Security and Cyber Law |
2:0:0 |
2 |
15 |
35 |
50 |
AC-04 |
Design Thinking |
2:0:0 |
2 |
15 |
35 |
50 |
|
Communtiy Development Programme |
|
1 |
|
50 |
50 |
|
Total |
|
24 |
|
|
750 |
III Semester
Course Code |
Name of the Course |
LTP |
Cerdits |
CIA Marks |
ESE |
Total Marks |
CC-09 |
Deep Learning |
3:0:4 |
5 |
30+15 |
70+35 |
150 |
CC-10 |
IOT Analysis |
3:0:4 |
5 |
30+15 |
70+35 |
150 |
CC-011 |
Cloud Computing for Data Science |
3:0:4 |
5 |
30+15 |
70+35 |
150 |
EC-01 |
Statistics for Data Science |
4:2:0 |
5 |
30+15 |
70+35 |
150 |
AC-05 |
Data Visualization |
2:0:0 |
2 |
15 |
35 |
50 |
OE |
Open Elective |
2:0:0 |
2 |
15 |
35 |
50 |
IR |
Internship Report |
|
2 |
|
50 |
50 |
|
Total |
|
26 |
|
|
750 |
IV Semester
Course Code |
Name of the Course |
LTP |
Cerdits |
CIA Marks |
ESE |
Total Marks |
CC-12 |
Generative AI |
3:0:4 |
5 |
30+15 |
70+35 |
150 |
CC-13 |
Block Chain Technology |
3:0:4 |
5 |
30+15 |
70+35 |
150 |
EC-02 |
Big Data Analytics |
4:2:0 |
5 |
30 |
70 |
100 |
PR-01 |
Project / Viva Voice |
12 |
8 |
50 |
150 |
200 |
|
Total |
|
22 |
|
|
600 |
Career Prospects
Upon the successful completion of M.Sc. Computer Science program, one can find lucrative career opportunities in Software and Computer Hardware related industry. An M.Sc. Computer Science degree mostly helps in acquiring a job position in the IT sector. The IT and ITeS sector has been one of the top employment sectors in India in the past and continues to do so. Current trends show that the sector will increase to grow at a good rate annually. With an expansion in the sector, the employment opportunities are also expected to increase. This estimates a good career prospect for M.Sc. Computer Science graduate.
The college has an active placement cell which:
- Provides Campus Recruitment Training to hone their skills of both aptitude tests and interview
- Arranges prominent companies in the city to conduct interviews in the college
Highlights
- Guest Lectures on various technical and non-technical topics are conducted every week to upgrade their Technical, Social and interpersonal skills
- Orientation Programme is conducted for freshers enumerating all the rules and regulations of the college and thus educating them about the Campus culture