M.Sc. Data Science

The two-year postgraduate interdisciplinary program is to make data scientists/analyst by providing a depth knowledge in selected topics from statistics, mathematics & computer science. The program will equip students to apply analysis, machine learning and big data techniques to various business domains.

Course Details

  • The curriculum includes big data algorithms, techniques and platforms, strategic business analytics, big data analytics, optimization techniques and machine learning.
  • Focus on detailed domain knowledge with hands on training by knowledge experts.
  • In-depth training in Python, R, Java & various tools for data analysis and machine learning.
  • Top class faculty with industry-experience.
  • Students will be exposed to real-life business problems through industrial internship/in-house minor/major Projects.

Career Prospects

Business Intelligence Analyst, Data Mining Engineer, Data Architect, Data Scientist, software engineers (associate with AI domain), machine learning R&D

M.Sc. Data Science

02 Years full time

2019-21 Entry

30 Seats

B.Sc. (CS/IT/EC/PCM/Statistics and related subjects) / BCA/B.Tech.(CA/IT and related subjects) with at least 50% mark in aggregate or equivalent thereto.
Faculty of Physical Science

50,000

Tuition fee per semester**

Semester-I

Subject CodeSubjects Name
MDS101Computing for Data Science
MDS102Computer Fundamentals (Elective-for non-CS)
MDS102Mathematics Fundamental (Elective – for CS)
MDS103DBMS and Visualization
MDS104Linear Algebra and Matrix Theory
MDS105Statistical Methods and Probability Distributions
MDS106Computing for Data Science R/Python–LAB
MDS107DBMS and Visualization -LAB
MDS108Self-Study Paper
MDS109Seminar

Semester-II

Subject CodeSubjects Name
MDS201Foundation of Data Science
MDS202Machine Learning
MDS203Java Programming and ML packages
MDS204Optimization Techniques
MDS205Cloud Computing
MDS206Machine Learning – LAB
MDS207Java Programming- LAB
MDS208Self-Study Paper
MDS209Seminar