Computer Science & Engineering (Data Science)

Vision

To emerge as a Centre of Excellence in Data Science, nurturing expertise in Analytics and Machine Learning for national development

Mission

To build a strong foundation in Data Science by fostering professionalism, integrity, and accountability.

To create advanced learning ecosystems and resources that prepare students for industry and societal challenges in the digital era.

To encourage impactful research, innovation, and entrepreneurial ventures with emphasis on Data Analytics and Artificial Intelligence.

To promote the overall growth of students and faculty by integrating knowledge, values, and lifelong learning into practice.

PEO 1: Apply Data Science, Analytics, and ML knowledge to solve problems with ethical and accountable practices

PEO 2: Develop solutions, adapt to new technologies, and contribute to industry and society.

PEO 3: Engage in research, design innovative solutions, and pursue entrepreneurship in Data Science

PEO 4: Demonstrate lifelong learning, professional ethics, and socio-disciplinary values for overall growth.

PSO 1- Data Analytics Proficiency: Apply statistical methods, data mining, and machine learning techniques to analyze and interpret complex data for meaningful insights.

PSO 2 - Solution Design & Development: Design, develop, and implement data-driven solutions and predictive models to address real-world industry and societal challenges.

PSO 3 – Research, Innovation & Ethics: Conduct socially responsive research, innovate in data-driven applications, and demonstrate professional ethics with lifelong learning orientation.

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

IV SEM Autonomous Scheme

V SEM Autonomous Scheme & Syllabus

VI SEM Autonomous Scheme & Syllabus

VII SEM Autonomous Scheme & Syllabus

VIII SEM Autonomous Scheme & Syllabus

III Semester NEP 2020

IV Semester NEP 2020

V Semester NEP 2020

VI Semester NEP 2020