Artificial Intelligence and Data Science

About Department

Artificial Intelligence and Data Science Programme enables students to get ready with the skills to perform intelligent decisions based on data analysis which is an important component in various real-world applications. By this course, the students will gain cross-disciplinary skills across fields such as statistics, computer science, machine learning, and logic, data scientists and may have career opportunities in healthcare, business, eCommerce, social networking companies, climatology, biotechnology, genetics, and other important areas.

Program Educational Objectives (PEOs)

The graduates of B.Tech Artificial Intelligence and Data Science programme will be able to:

• ▸Develop intelligent systems by utilizing foundations of artificial intelligence, data science and statistics.
• ▸Perform pioneering research in the field of artificial intelligence and data science to create disruptive and sustainable solutions.
• ▸Engage in lifelong learning for their professional development to cater the adaptive needs of the society.

Engineering Graduates will be able to

• ▸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, 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 in 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.

After the successful completion of B.Tech programme in Artificial Intelligence and Data Science, the students will be able to:

• ▸Design appropriate solutions to real world challenges in an inter-disciplinary domain using state of art tools and techniques of artificial intelligence and data science.
• ▸Succeed in their career as team or individual in the field of artificial intelligence and data science with social responsibility as professionals or entrepreneurs.

The department has well equipped and spacious laboratories with modern computer equipments. Computer Laboratories equipped with LINUX & Windows platforms are available to develop the programming skills. Industry supported centers such as Oracle academy, ICTACT-EM2, Red Hat Academy, AOSTA Incubation center, National Cyber Defence Research Centre (NCDRC) on Artificial Intelligence center and Cyber Security center enhance the practical knowledge in the area of Artificial Intelligence and Data Science.

The department has a perfect understanding of how the corporate world works, this helps in organizing events and programs that will provide avenues to the students to get exposed to the real world of work. The department have signed MoUs with IT companies like ORACLE Academy, CISCO Network Academy, ASOTA software, Lakshya Cyber Security Labs, National Cyber safety and Security Standards to conduct Guest lectures, Value added course and to undergo internship. Guest lectures are organized in regularly and the students get ample opportunities to closely interact with professionals from different industries.