The Bachelor of Technology (B.Tech) in Computer Science and Engineering (CSE) with a specialization in Data Science is a cutting-edge program that equips students with the knowledge and skills needed for intelligent data analysis, a critical component in various real-world applications. The program covers subjects such as Artificial Intelligence, Data Mining, Data Modeling, Machine Learning, and Big Data Analytics, providing students with a comprehensive understanding of these key areas.

Program Outcomes (PO)

1. Engineering Knowledge: Apply mathematics, science, and engineering fundamentals to solve complex engineering problems.
2. Problem Analysis: Identify and analyze complex engineering problems, drawing conclusions using first principles.
3. Design/Development of Solutions: Design solutions and system components that meet specified needs with consideration for public health, safety, and environmental factors.
4. Conduct Investigations: Use research-based knowledge and methods to provide valid conclusions.
5. Modern Tool Usage: Apply appropriate techniques and modern engineering tools, including prediction and modeling, with an understanding of their limitations.
6. Engineer and Society: Assess societal, health, safety, legal, and cultural issues relevant to engineering practice.
7. Environment and Sustainability: Understand the impact of engineering solutions in societal and environmental contexts and demonstrate knowledge of sustainable development.
8. Ethics: Apply ethical principles and commit to professional ethics and responsibilities.
9. Individual and Team Work: Function effectively as an individual and as a member or leader in diverse teams and settings.
10. Communication: Communicate effectively on complex engineering activities with the engineering community and society.
11. Project Management and Finance: Apply engineering and management principles to manage projects in multidisciplinary environments.
12. Life-long Learning: Recognize the need for and engage in independent and life-long learning in technological change contexts.

Career Opportunities

• Internships: Mandatory internships in reputed MNCs and major projects in renowned NITs and IITs provide exposure to technology in practice and industrial environments.
• Seminars: Included in the curriculum to promote self-learning and develop communication and interpersonal skills.
• Research Activity: Encourages innovation and lifelong learning.
• Workshops & Conferences: Provide relevant exposure at the department and institution levels.
• Technical Clubs: Opportunities for technical activities through clubs such as the IEEE student branch.
• Industry Relevance: The AI & DS Department prepares students for careers in Data Analytics & Artificial Intelligence across diverse industry segments such as IT, Ecommerce, Communication, Retail, Medicine, Banking & Finance, Media, Entertainment, Transportation, Construction, Governance, Automobile, Manufacturing, and more.

Students are expected to utilize their technical knowledge and skills in core AI & Data Science using cutting-edge technology in business domains relevant to the Industry/Organization.