B.Tech. in Computer Science & Engineering (Data Science)

A B.Tech. in Computer Science & Engineering with a specialization in Data Science equips students with essential skills in programming, statistical analysis, and machine learning. This program focuses on the collection, processing, and interpretation of large datasets, enabling graduates to uncover insights and drive decision-making across various industries. Students learn to use advanced tools and technologies, including Python, R, and big data frameworks, while also gaining a solid foundation in algorithms and database management. With the growing demand for data-driven solutions, this specialization prepares students for a dynamic career in fields like analytics, artificial intelligence, and business intelligence.

Program Educational Objectives (PEOs)

PEO 1. To demonstrate advanced knowledge and practical skills to solve complex real world problems using AI and data science techniques.

PEO 2. To exhibit leadership and professionalism in their work environment, practicing ethical decision-making, and social responsibility in the design and development of AI and data science solutions.

PEO 3. To engage in lifelong learning, both independantly and collaboratively to stay at the forefront of AI and data science advancements.

Program Specific Outcomes (PSOs)

PSO 1. Graduates will have the ability to apply data science techniques, including data collection, cleaning, processing, analysis and visualization to extract actionable insights from large, complex datasets across various domains such as business, healthcare, and technology.

PSO 2. Graduates will be proficient in designing, developing and deploying machine learning algorithms and predictive models, utilizing statistical, mathematical and computational techniques to solve real-world problems and enhance decision-making processes.

Programme Outcome (POs)

PO1. Engineering knowledge: Apply the knowledge of mathematics, science, engineering fundamentals, and an engineering specialization to the solution of complex engineering problems.

PO2. 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.

PO3. 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.

PO4. 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.

PO5. Modern tool usage: Create, select, and apply appropriate techniques, resources, and modern engineering and IT tools including prediction and modeling to complex engineering activities with an understanding of the limitations.

PO6. 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.

PO7. 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.

PO8. Ethics: Apply ethical principles and commit to professional ethics and responsibilities and norms of the engineering practice.

PO9. Individual and team work: Function effectively as an individual, and as a member or leader in diverse teams, and in multidisciplinary settings.

PO10. 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.

PO11. 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.

PO12. Life-long learning: Recognize the need for, and have the preparation and ability to engage in independent and life-long learning in the broadest context of technological change.

R2019 - Syllabus - CSE(DS) - S1-S8

R2024 - Syllabus - CSE(DS) - S1-S2