ARTIFICIAL INTELLIGENCE & DATA SCIENCE

The Department of ARTIFICIAL INTELLIGENCE & DATA SCIENCE (AI&DS) was established in the year 2023 with the aim of providing inclusive technology education to students from all over India and the world and thereby creating responsible citizens who would contribute to the betterment of their families, society and nation.

The Department aims at providing high quality training to students through the latest in Artificial Intelligence & Data Science technology. In order to maintain the standard of education, the Department constantly upgrades the academic syllabi so as to keep the students well trained to deal with changing trends in the field of Artificial Intelligence & Data Science.

DEPARTMENT VISION

To lead in AI and Data Science through innovation and transformative education.

B.TECH – ARTIFICIAL INTELLIGENCE & DATA SCIENCE

The Department is Offering an Undergraduate degree program in Artificial Intelligence & Data Science,It is a Four year degree program.

Artificial Intelligence (AI) and Data Sciences (DS) are redefining the technological world of the human beings. It is the ability of the computing machines to think and take decisions on their own. Today, AI is all pervasive technology that is rapidly transforming every aspect of day-to-day life including communications, transportation, finance, medicine, agriculture, computing, commerce, trade etc. Data Science is the basis for developing and testing machine learning algorithms that provide basis for implementing AI tools.

A recent Price Waterhouse Coopers (PWC) AI 2023 report predicts 15.7 trillion dollar contribution by AI to the global economy by 2030. It is imperative that most of the career prospects for the students would be in the world of AI and Data Sciences.

B. Tech –  AI & DS Curriculum

The Bachelor of Technology (B. Tech) in AI & DS offered as per the Pondicherry University Syllabus.

Curriculum focus:

Career Pathways:

While the program will lay the foundation of your transformation into global leader of the future, the immediate roles you will be able to take on after the program are

ELIGIBILITY

Candidates should have passed the +2 (H.Sc.) (Academic) examination conducted by the Board of Higher Secondary Examination of Tamil Nadu, or any other equivalent examination thereto, with a minimum of 45% marks (40% marks for OBC / BCM / MBC / EBC / BT / SC / ST – candidates) in aggregate, in the prescribed subjects, namely, Mathematics, Physics and any one of the following optional subjects : Chemistry / Bio-Technology / Computer Science / Information Technology / Informatics Practices/ Technical Vocational Subject / Agriculture / Engineering Graphics / Business Studies/ Biology / (Botany & Zoology).
OR
Passed min. 3 years Diploma examination with at least
45% marks (40% marks in case of candidates belonging to reserved category) subject to vacancies in the First Year, in case the vacancies at lateral entry are exhausted.
(The Universities will offer suitable bridge courses such as Mathematics, Physics, Engineering drawing, etc., for the students coming from diverse backgrounds to achieve desired learning outcomes of the programme).

PROGRAM EDUCATIONAL OBJECTIVES (PEO)

• Technical Proficiency: Achieve proficiency in AI and data science principles and practices.
• Career Readiness: Prepare graduates for successful careers in AI and data science.
• Ethical Practices: Demonstrate ethical values and professional responsibilities.
• Lifelong Learning: Promote lifelong learning and adaptation to emerging AI and data science technologies.

PROGRAM OUTCOMES

PO1 – ENGINEERING KNOWLEDGE:
Apply the knowledge of mathematics, science, engineering fundamentals, and an engineering specialization to solve complex problems in artificial intelligence and data science.

PO2 – PROBLEM ANALYSIS:
Identify, formulate, review research literature, and analyze complex AI and data science problems to reach substantiated conclusions using first principles of mathematics, natural sciences, and engineering sciences.

PO3 – DESIGN/DEVELOPMENT OF SOLUTIONS:
Design solutions for complex AI and data science problems and design system components or processes to meet specified needs with appropriate consideration for public health and safety, and cultural, societal, and environmental considerations.

PO4 – CONDUCT INVESTIGATIONS OF COMPLEX PROBLEMS:
Use research-based knowledge and methods, including the design of experiments, analysis and interpretation of data, and synthesis of information to provide valid conclusions in AI and data science.

PO5 – MODERN TOOL USAGE:
Create, select, and apply appropriate techniques, resources, and modern engineering and IT tools, including prediction and modelling, to complex engineering activities in AI and data science with an understanding of the limitations.

PO6 – THE ENGINEER AND SOCIETY:
Apply reasoning informed by contextual knowledge to assess societal, health, safety, legal, and cultural issues and the consequent responsibilities relevant to the professional engineering practice in AI and data science.

PO7 – ENVIRONMENT AND SUSTAINABILITY:
Understand the impact of professional engineering solutions in societal and environmental contexts and demonstrate knowledge of, and need for, sustainable development in AI and data science.

PO8 – ETHICS:
Apply ethical principles and commit to professional ethics and responsibilities and norms of the engineering practice in AI and data science.

PO9 – INDIVIDUAL AND TEAM WORK:
Function effectively as an individual and as a member or leader in diverse teams and in multidisciplinary settings in AI and data science.

PO10 – COMMUNICATION:
Communicate effectively on complex engineering activities with the engineering community and with society at large, including the ability 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 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 in AI and data science.

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 in AI and data science.

PROGRAM SPECIFIC OUTCOMES (PSO)

• System Design: Design and develop AI systems and data-driven solutions.
• Advanced Technologies: Apply knowledge in machine learning, data analytics, and big data technologies.
• Research and Innovation: Identify research gaps and develop innovative AI and data science solutions.

FACULTY DETAILS