M.Sc. Data Science

Master of Science (M.Sc)
Dr. G.Y. Pathrikar College of CS & IT

Program Outline

This is unique Two-year full-time Master of Science in Data Science and Analytics degree program enables students to develop interdisciplinary skills, and gain a deep understanding of technical and applied knowledge in data science and analytics. The Graduates are highly trained, qualified data scientists and Analysts who can go on to pursue careers in industry, government or research.

Now when Hadoop and other frameworks have successfully solved the problem of huge storage requirements, the focus has now shifted to the processing of this myriad of data. Data Science is the secret sauce here which helps in extracting meaningful insights from the complex and large sets of data all around us.

Students will also get the opportunity to work on live projects and explore their academic learning with practical and real-life industry experience.

Eligibility

Any Bachelor’s Degree in Science or graduate of Engineering and technology of this university or any other recognized university as equivalent with minimum 50% marks (45% for reserved category) can apply.

Fees Structure

M.Sc.(Data Science) Rs.100000/- Per Year + University Fees as Listed Below

Sr.No.

Details of Fees

Amount

Period

Remark

1

Application Form & CET

Rs.1500/-

One Time

For UG/PG

2

Caution Money Deposit

Rs.5000/-

One Time

For UG/PG

 

3

Eligibility Fees

Rs.5000/-

One Time

For UG/PG & Diploma only

4

Examination Fees UG/PG 

Rs.5000/-

Yearly 

For UG/PG

 

5

Examination Fees for Diploma 

Rs.2500/-

Semester Wise 

______

6

Examination Fees for Certificate 

Rs.500/-

Semester Wise 

______

7

Student Activities Fees 

Rs.1000/-

Yearly 

______

8

UMIS & Student Insurance 

Rs.3000/-

One Time

______

9

Supplementary Examination Fees upto 3 Subjects 

Rs.1500/-

Yearly

______

10

Supplementary Examination Fees more than 3 Subjects 

Rs.2500/-

Yearly

______

11

Alumni Association Membership Fees for UG/PG(To be paid in the final year) 

Rs.1000/-

One Time

______

Key Features

  • Prospective students are expected to demonstrate working knowledge of statistics, data structures and algorithms, Python and R software packages
  • Learn to make Data-driven decision
  • Focuses on developing your skills like problem-solving, communication, teamwork, creativity and business intelligence
  • Students get Campus Recruitment Training program to enhance and improve their skills required for getting placement
  • We provide students with Placement Assistance and Support for placement at highly reputed Multi-National Companies with good package

Program Structure

For M.Sc.in Data Science and Analytics Two years Program

Program structure includes basic and advanced skills on Current trends like Machine Learning Algorithms, Artificial intelligence, Big Data Analytics, Deep Learning, Statistical Analysis, Data mining and data warehousing techniques using Python and R Programming languages.

Semester-I

Sr. No Code /Name Type Weekly Workload Credits Assessment
Theory Practical Tutorial Theory Practical Internal External Total
1 CC-01 Introduction to Data Science CC 3 1 4 40 60 100
2 CC-02 Statistical Methods CC 3 1 4 40 60 100
3 DSE-01 Data Mining DSE 3 1 4 40 60 100
4 DSE-02 Programming for Data Science DSE 3 1 4 40 60 100
5 LAB-01 Based on CC-01 CC 4 2 40 60 100
6 LAB-02 Based on CC-02 CC 4 2 40 60 100
7 LAB-03 Based on DSE-01 DSE 4 2 40 60 100
8 LAB-04 (Project Work) DSE 4 2 40 60 100
12 16 4 16 08 320 480 800

Semester-II

Sr. No Code /Name Type Weekly Workload Credits Assessment
Theory Practical Tutorial Theory Practical Internal External Total
1 CC-01 Fundamentals of Analytics CC 3 1 4 40 60 100
2 CC-02 Time Series Analysis and Forecasting CC 3 1 4 40 60 100
3 DSE-01 Social Media and Web Analytics DSE 3 1 4 40 60 100
4 DSE-02 Research Methodology DSE 3 1 4 40 60 100
5 LAB-01 Based on CC-01 CC 4 2 40 60 100
6 LAB-02 Based on CC-02 CC 4 2 40 60 100
7 LAB-03 Based on DSE-01 DSE 4 2 40 60 100
8 LAB-04 (Project Work) DSE 4 2 40 60 100
12 16 4 16 08 320 480 800

 

Semester-III

Sr.No Code /Name Type Weekly Workload Credits Assessment
Theory Practical Tutorial Theory Practical Internal External Total
1 CC-01 Machine Learning CC 3 1 4 40 60 100
2 CC-02 Business Intelligence CC 3 1 4 40 60 100
3 DSE-01 Big Data Analytics DSE 3 1 4 40 60 100
4 DSE-02 Healthcare Analytics DSE 3 1 4 40 60 100
5 LAB-01 Based on CC-01 CC 4 2 40 60 100
6 LAB-02 Based on CC-02 CC 4 2 40 60 100
7 LAB-03 Based on DSE-01 DSE 4 2 40 60 100
8 LAB-04 (Project Work) DSE 4 2 40 60 100
12 16 4 16 08 320 480 800

 

 Semester-IV

Sr.No Code /Name Type Weekly Workload Credits Assessment
Theory Practical Tutorial Theory Practical Internal External Total
1 Ind. Training OEC/AEC 24 300 500 800

Job Opportunities

Data Scientist was the most promising career from 2019. As the size of cloud is keep on increasing, the demand for Data scientist will also be in huge demand in coming days.

You can work in the below roles:

Data Scientist, Data Analyst, Data Architect, Statistical Officer, Data Mining and Statistical Analysis, Cloud and Distributed Computing, Database Management and Architecture, Business Intelligence and Strategy

Machine Learning, Cognitive Computing Development, Data Visualization and Presentation, Operations-Related Data Analytics Market-Related Data Analytics.