B.E. AI and Data Sciences College In Chennai

About the Department

The Department of "Artificial Intelligence and Data Science" was established in the year 2023 with the intake of 60 students dedicated to fostering innovation and excellence in cutting-edge technologies. Our curriculum blends AI, machine learning, deep learning, and big data analytics, equipping students with the skills to solve real-world challenges and gain hands-on experience through industry collaborations, research projects, and hackathons.

Our expert faculty and state-of-the-art labs provide a dynamic learning environment. The department encourages innovation through AI-driven projects, startups, and internships. Through workshops, guest lectures, Industrial visit ,value added courses and certifications, students stay updated with emerging trends.

Our department foresees indulging academic excellence with a broad range of employment opportunities as Data Scientists, Data Engineers, Data Analysts, Machine learning engineers, and Data Architects in the future with high salary packages and enable them to become entrepreneurs.Join us to shape the future of AI and Data Science!

PROGRAM HIGHLIGHTS

Industry-Aligned Curriculum

Designed to meet the latest advancements in AI, Machine Learning, and Data Science, ensuring students are industry-ready.

Hands-on Learning

Emphasis on practical learning through real-world projects, case studies, and internships with reputed companies.

State-of-the-Art Labs

Equipped with high-performance computing facilities, AI/ML tools, and data analytics platforms to support cutting-edge research.

Interdisciplinary Approach

Integration of AI with diverse fields like healthcare, finance, robotics, and cybersecurity to encourage innovative solutions.

Capstone Projects & Hackathons

Encouraging students to solve real-world challenges through innovative projects, hackathons, and coding competitions.

Placement Assistance & Career Guidance

Dedicated placement cell ensuring top-tier opportunities in AI, data science, and software development industries.

Vision & Mission

VISION

To nurture innovative minds for academic excellence with emphasis on in-depth technical knowledge for creating a value-based sustainable society.

MISSION

Developing practically trained skilled professionals to meet the demands of the corporate world.
Creating an ecosystem of academic excellence through the best possible teaching learning methodology.
Grooming professionals with high ethical values and ability to solve real-life problems.
Foster research aptitude among the students through project-based learning.

PEOs, POs, PSOs

PROGRAMME EDUCATIONAL OBJECTIVES (PEOs)

Graduate can

PEO1: Utilize their proficiencies in the fundamental knowledge of basic sciences, mathematics, Artificial Intelligence, data science and statistics to build systems that require management and analysis of large volumes of data.

PEO2: Advance their technical skills to pursue pioneering research in the field of AI and Data Science and create disruptive and sustainable solutions for the welfare of ecosystems.

PEO3: Think logically, pursue lifelong learning and collaborate with an ethical attitude in a multidisciplinary team.

PEO4: Design and model AI based solutions to critical problem domains in the real world.

PEO5: Exhibit innovative thoughts and creative ideas for effective contribution towards economy building.

PPROGRAMME OUTCOMES (POs)

Graduate Attribute

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: ApIdentify, 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

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.

P10: 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 raidsive 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.

PROGRAMME SPECIFIC OUTCOMES (PSOs)

Graduate can

PSO1: Evlove AI based efficient domain specific processes for effective decision making in several domains such as business and governance domains.

PSO2: Arrive at actionable Foresight, Insight, hindsight from data for solving business and engineering problems.

PSO3: Create, select and apply the theoretical knowledge of AI and Data Analytics along with practical industrial tools and techniques to manage and solve wicked societal problems.

PSO4: Develop data analytics and data visualization skills, skills pertaining to knowledge acquisition, knowledge representation and knowledge engineering, and hence be capable of coordinating complex projects.

PSO5: Carry out fundamental research to cater the critical needs of the society through cutting edge technologies of AI.

Course Outcomes

Regulation - 2021

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Faculty

FACULTY MEMBERS

S.NO	NAME OF THE FACULTY	QUALIFICATION	DESIGNATION
1.	Mrs. S. Vennila	B.E., M.Tech	ASSISTANT PROFESSOR AND HEAD OF THE DEPARTMENT
2.	Mrs. M. Divya	B.E., M.E., (Ph.D)	ASSISTANT PROFESSOR
3.	Mrs. E. Bhavani	B.E., M.E.	ASSISTANT PROFESSOR
4.	Mr. T. K. Ramesh	B.E., M.E.	ASSISTANT PROFESSOR
5.	Mrs. Thendral	B.E., M.E., Ph.D.	ASSISTANT PROFESSOR
6.	Ms. S. Priyanka	B.E., M.E.	ASSISTANT PROFESSOR
7.	Ms. D. Shanmathy	B.E., M.E.	ASSISTANT PROFESSOR
8.	Ms. M. Priyanka	B.E., M.E.	ASSISTANT PROFESSOR