Artificial Intelligence and Data Science


The Department of Artificial Intelligence and Data Science offers a 4 Year B.Tech Artificial Intelligence and Data Science programme.. Artificial Intelligence is the Emerging Technology that is transforming every activities of the life by enabling people to rethink how we can integrate information, analyze the data and use the resulted findings to improve the decision making. . In the rapidly changing world, there is a massive data generation which demands the experts to successfully handle and manage the data through Data Science. The B.Tech programme in Artificial Intelligence and Data Science is designed to balance the learning in Computing, Statistics and Algorithms to perform autonomous actions of any intelligent system in various fields of Engineering and others.


To become a multidisciplinary department through creativity and innovation developing systems with Artificial Intelligence and Data Science


Engage collaborative activities with the industry to produce industry-ready and future-ready talent.

Foster the spirit of lifelong learning in students through practical and social exposure beyond the classroom.

Practice and instill the highest standards of professional ethics, transparency and accountability at all levels.

Provide multi-disciplinary research and innovation driven academic environment.


1. Graduates will have progressive learning to design and harness the power of AI in broad application fields from vision to advanced autonomous systems.

2. Graduates will expertise to turn actionable insights and cutting-edge technology into innovative products towards solving real-world problems.

3. Graduates will examine large amounts of data to uncover hidden patterns, correlations, insights, and help organizations harness their data to identify new opportunities.


1. Engineering Knowledge: Apply the knowledge of mathematics, science, engineering fundamentals and an engineering specialization to the IT enabled solution of complex engineering problems.
2. Problem Analysis: Identify, formulate, research literature, and analyze complex engineering problems reaching substantiated IT enabled 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 Investigation 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 modeling 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 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 life-long learning in the broadest context of technological change.


1. Technical Skills: Apply the fundamental knowledge to develop intelligent systems using computational principles, methods and systems for extracting knowledge from data and modern computational systems
2. Leadership Skills: Demonstrate professionalism and ethics in managing academic/ non-academic activities as a team and an individual.
3. Social Responsibility: Develop an attitude to understand the societal issues and apply the acquired professional skills to provide feasible IT-based solutions


4 years (Regular) / 3 years (Lateral Entry)

No. of Semesters:

8 (Regular) / 6 (Lateral Entry)


Students for admission of this course shall have passed +2 examinations with Maths, Physics and Chemistry, Vocational courses with Mathematics.

Curriculum & Syllabus:

2016 Regulation

Career Opportunities :


Short-Term &
Value-Added Courses Organized
Seminars, Conferences
Workshops Organized