- Program Description
- Program Structure
- Program Enquiry
B.Tech. CSE - DATA SCIENCE (DS)
Program Educational Objectives (PEOs)
PEO 1: Pursue career in electrical and allied fi elds in private/ public sector (or) as an entrepreneur.
PEO 2: Design, invent and develop novel technology and fi nd creative, innovative solutions to engineering
problems through interdisciplinary approach.
and complex problem-solving skills.
PEO 3: Apply professional knowledge to solve technical and social problems in economical way by following
ethics.
Program Specific Outcomes (PSOs)
PSO 1 : Professional Competence: Ability to apply the core concepts of statistics, mathematics and data
science while accomplishing objectives of business organizations by leveraging various software
tools.
PSO 2: Research, Entrepreneurial and Social Competence: Ability to design and develop futuristic models
suitable for solving local and societal problems of varying complexities.
Program Outcomes (POs)
Program Outcomes (POs), are attributes acquired by the student at the time of graduation. The POs given in below, ensure that the POs are aligned to the Graduate Attributes (GAs) specifi ed by National Board of Accreditation (NBA). These attributes are measured at the time of Graduation.
PO 1: Engineering knowledge: Apply the knowledge of mathematics, science, engineering fundamentals, and an engineering specialization to the solution of complex engineering problems.PO 2: Problem analysis: Identify, formulate, review research literature, and analyze complex engineering problems reaching substantiated conclusions using fi rst principles of mathematics, natural sciences, and engineering sciences.
PO 3: Design/development of solutions:Design solutions for complex engineering problems and design system components or processes that meet the specifi ed needs with appropriate consideration for the public health and safety, and the cultural, societal, and environmental considerations.
PO 4: 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.
PO 5: Modern tool usage: Create, select, and apply appropriate techniques, resources, and modern engineering and IT tools including prediction and modelling to complex engineering activities with an understanding of the limitations.
PO 6: The engineer and society: Apply reasoning informed by the contextual knowledge to assess societal, health, safety, legal and cultural issues and the consequent responsibilities relevant to the professional engineering practice.
PO 7: 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.
PO 8: Ethics: Apply ethical principles and commit to professional ethics and responsibilities and norms of the engineering practice.
PO 9: Individual and team work: Function eff ectively as an individual, and as a member or leader in diverse teams, and in multidisciplinary settings.
PO 10: Communication: Communicate eff ectively on complex engineering activities with the engineering community and with society at large, such as, being able to comprehend and write eff ective reports and design documentation, make eff ective presentations, and give and receive clear instructions.
PO 11: Demonstrate knowledge and understanding of the engineering and management principles and apply these to one’s own work, as a member and leader in a team, to manage projects and in multidisciplinary environments.
Program Name | B.Tech CSE - Data Sciences | |
Level | Under Graduation | |
Program Specific Enquiries | 0863-2344731 | |
Admission Enrollment and General Enquiries | 0863-2344777, 1800-425-2529 |
|
HoD Contact Number | 9840850744 |