New! ODL -DEB Proposal 2023-2024 New! Admission 2024-2025 Careers 2024 Chat with a Student

M.Sc. Data Science and Business Analytics

Programme Outcomes

PO1: Critical Thinking: Apply knowledge of Computer Science to identify, analyse problems and to provide effective solution in the area of Computing.
PO2: Computing Skills and Ethics: Analyse a problem, and identify and define the computing requirements appropriate to its solution.
PO3: Analytical skill: Ability to design, develop algorithms and provide software solutions to cater the industrial needs.
PO4: Modern Tool Usage: Use current techniques, skills, and tools necessary for computing practices
PO5: Employability Skills: Inculcate skills to excel in the fields of Information Technology and its Enabled services, Government and Private sectors, Teaching and Research.
PO6: Ethics: Insists ethical responsibilities, human and professional values and make their contribution to the society.
PO7: Self Directed and Life-long Learning: Engaged in lifelong learning to equip them to changing environment and be prepared to take-up mastering programmes.
PO8: Individual and team work: Function effectively as an individual, and as a member or a leader in diverse team and multidisciplinary settings.
PO9: Environment and sustainability: Understand the impact of the professional engineering solutions in societal and environmental contexts, and demonstrate the knowledge of, and need for sustainable development.
PO10: Project management and finance: Demonstrate knowledge and understanding of the problem and management principles and apply these to one’s own work, as a member and engineering and   management principles and apply these to one’s own work, as a member.
PO11: Conduct investigations of complex problems: Use research-based knowledge and research methods including design of experiments, analysis and interpretation of data, and synthesis of the information to provide valid conclusions.
PO12: Design/development of solutions: Design solutions for complex engineering problems and design system components or processes that meet the specified needs with appropriate consideration for the public health and safety, and the cultural, societal, and environmental considerations.

Curriculum & Syllabus


Code NoCourseHours/WeekMaximum Marks
CoreFundamentals of Data Science 40044060100
CoreJava & Data Structures40044060100
CoreAdvanced DBMS30034060100
Core – PracticalData Structures using Java Lab00424060100
Core – PracticalRDBMS Lab00424060100
DSEDSE 130034060100
DSEDSE 230034060100
SECSoft Skill 120024060100

View full course curriculum

Eligibility Criteria

ProgramYearsEligibilityCriteria for Merit
M.Sc. Data Science and Business Analytics2 Years (4 Semesters)Bachelor degree in Computer Applications/ Computer Science / BCA- Data Science / B.Sc - Data Science/ Information Technology/ Mathematics/ Statistics / Physics / Electronic Science / B.E Computer Science / B.Tech - ITMerit based on the percentage of marks secured in the qualifying examination

Career Prospects


  • Software Developer
  • Data Scientist
  • Machine Learning Engineer
  • Cloud Architect
  • Software Architect
  • IT Infra Manager
  • Software Testing Engineer
  • Data Analyst
  • Data Engineer
  • Database Engineer
  • Web Designer
  • Information Officer
  • Computer Programmer
  • Computer Scientist
  • Computer Systems Analyst
  • Database Administration
  • Information Systems Manager
  • Web Developer


Alumni Testimonials

Fee Structure

Tuition Fee 2024 - 2025 (Per Sem)Other Fee (Per Sem)
Total Fee 2024 - 2025 (Per Sem)