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M.Sc. Data Science and Business Analytics

Vision

The Department of Information Technology aims to produce globally competent graduates, skilled intellectual professionals, and a successful entrepreneur in the field of computer science and Information Technology to meet the current challenges in the fast-growing IT industry.

Mission

  • Provide strong theoretical and practical knowledge to the students in the computer science discipline.
  • To equip our students to attain the skill set Imperative to harness the opportunities present in this dynamic Environment.
  • Provide technical & skill-based quality training to students in the field of Information technology
  • Empowering the Youth in rural communities with computer knowledge
  • Inculcate knowledge about Socio-economic duties & responsibilities and human & ethical values to become an optimistic global citizen and a life-long learner.
  • Provide environmental education to build knowledge on environmental issues and also to take necessary actions to keep our environment healthy and sustainable for the future.

Programme Educational Objectives (PEOs)

PROGRAM EDUCATIONAL OBJECTIVES (PEO)

PEO1: Possess knowledge and understanding of group dynamics, recognize opportunities, and contribute positively to collaborative-multidisciplinary scientific research.

PEO2: Critically analyze complex problems and apply independent judgment for fusing information to Conduct Research in a wider theoretical, practical, and policy context in Computer Science.

PEO3: Understand the relevance of the research to society by the ethical and economic connotations of research outcomes and an understanding of the responsibility to contribute to the community for sustainable development of society.

PEO4: Apply appropriate research methodologies, techniques, and tools, design, conduct experiments, analyze and interpret data, demonstrate higher order skill, and contribute individually or in groups to the development of technological knowledge in Computer Science.

PEO5: Demonstrate a capacity for self-management and teamwork, decision-making based on open-mindedness, objectivity, and rational analysis to achieve common goals.

Programme Outcomes (POs) & Programme Specific Outcomes(PSOs)

PROGRAM OUTCOME (PO)

PO1: Critical Thinking: Apply knowledge of Computer Science to identify, and analyze problems and provide effective solutions 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, and human and professional values, and makes their contribution to the society.

PO7: Self-Directed and Life-long Learning: Engaged in lifelong learning to equip them to a changing environment and be prepared to take up mastering programs.

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 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 work, as a member, and engineering and management principles and apply these to one’s 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 public health and safety, and cultural, societal, and environmental considerations.

PROGRAMME SPECIFIC OUTCOME (PSO)

PSO1: Be an expert as a System/Network Administrator with comprehensive knowledge in Network design & analysis, Network security, and Software-defined networks.

PSO2: Be a proficient Software Engineer by obtaining exhaustive knowledge in Software Requirement Analysis, Design, Coding, Testing, and Documentation.

PSO3: Inculcate students to communicate effectively and to improve their competency skills to solve real-time problems.

Curriculum & Syllabus 2024

CURRICULUM & SYLLABUS
MINIMUM CREDITS TO BE EARNED: 90

CategoryCodeCourseHours/WeekMaximum Marks
LTPOCCIASEETotal
DSC 124CMDS11Programming
Logic using
Python
400244060100
DSC 224CMDS12Advanced DBMS400244060100
DSC 324CMDS13Fundamentals of
Data Science
400244060100
DSC 1
(Lab)
24PMDS11Python
Programming
Lab
004124060100
DSC 2
(Lab)
24PMDS12Advanced DBMS
Lab
004124060100
DSE 124DMDS12DSE 1300234060100
RM 124RMDS11Research
Methodology
400244060100
19-8-23---

View full course curriculum

Curriculum & Syllabus

CURRICULUM & SYLLABUS
MINIMUM CREDITS TO BE EARNED: 90

Code NoCourseHours/WeekMaximum Marks
LectureTutorialPracticalCreditsCASEESEE
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
190823

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

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)
27,00018,00045,000