Computer Science & Engineering (Data Science)

Vision

The revolution in data has produced both new opportunities and fresh problems. The Department of CSE Data Science's mission is to establish a world-class academic institution that will educate the next generation of students to become data scientists who will seize these possibilities by creating via first-rate research to address these important issues.

Mission

The goal is to encourage collaborative research and high-quality data science education.

To develop future data scientists by equipping students with data science with computer science and engineering abilities.

PEO1: Apply data science to create and resolve challenging statistical and multidisciplinary issues to meet the changing needs of the global industrial sector.

PEO2: Engage in advanced research, development, and other innovative initiatives in the field of emerging trends.

PEO3: Increase stakeholder satisfaction by employing their expertise in a morally and professionally responsible manner.

PSO 1- Provide graduates with the abilities they need to develop and apply knowledge of Data Science in a range of settings, from complex autonomous systems to vision.

PSO 2 - Analyze enormous amounts of data to uncover previously unknown patterns, relationships, and insights; help businesses use their data to uncover novel opportunities.

PSO 3 – Develop the skills necessary to produce innovative products that use cutting-edge technology and practical knowledge to solve real-world problems.

Engineering Graduates will be able to:

1. Engineering knowledge: Apply the knowledge of mathematics, science, engineering fundamentals, and an engineering specialization to the solution of complex engineering problems.
2. Problem analysis: Identify, formulate, review research literature, and analyze complex engineering problems reaching substantiated conclusions using first principles of mathematics, natural sciences, and engineering sciences.
3. 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.
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.
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.
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.
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.
8. Ethics: Apply ethical principles and commit to professional ethics and responsibilities and norms of the engineering practice.
9. Individual and team work: Function effectively as an individual, and as a member or leader in diverse teams, and in multidisciplinary settings.
10. Communication: Communicate effectively on complex engineering activities with the engineering community and with society at large, such as, being able to comprehend and write effective reports and design documentation, make effective presentations, and give and receive clear instructions.
11. Project management and finance: 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.
12. Life-long learning: Recognize the need for, and have the preparation and ability to engage in independent and lifelong learning in the broadest context of technological change.

RTMNU 3^rd to 8^th Scheme Syllabus

III SEM Autonomous Scheme