Admissions open for 2026-2027
Counselling Code : 1503
Background

B Tech Artificial Intelligence and Data Science

B Tech Artificial Intelligence and Data Science

B.Tech Artificial Intelligence and Data Science is an advanced and future-focused engineering program designed to equip students with cutting-edge skills in Artificial Intelligence, Machine Learning, Deep Learning, Big Data Analytics, and Data-Driven Technologies. Established in 2023 with an intake of 60 students, the Department of Artificial Intelligence and Data Science is committed to fostering innovation, academic excellence, and industry-oriented learning in emerging technologies.

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2023
Department Established
4 Years
B.Tech Program Duration
300+
Computer Systems
AICTE
Approved · Anna University
Department Overview

B Tech Artificial Intelligence and Data Science

The B.Tech Artificial Intelligence and Data Science program combines strong theoretical foundations with practical applications to prepare students for successful careers in the rapidly evolving AI and Data Science industry. The curriculum is carefully designed to integrate Artificial Intelligence, Data Analytics, Deep Learning, Big Data Technologies, and Computational Intelligence, enabling students to solve real-world challenges using modern technology solutions.

The department provides a dynamic learning environment supported by experienced faculty members, state-of-the-art laboratories, advanced computing facilities, and industry collaborations. Students gain hands-on experience through AI-driven projects, hackathons, internships, research activities, industrial visits, workshops, guest lectures, certification programs, and value-added courses that keep them updated with the latest technological advancements and industry trends.

The B.Tech Artificial Intelligence and Data Science department strongly encourages innovation, entrepreneurship, and research-oriented learning by supporting startup initiatives and industry-integrated projects. Students are trained to develop analytical thinking, problem-solving abilities, programming expertise, and data-driven decision-making skills required in modern technology industries.

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.
Academic Framework

Programme Outcomes (POs)

Graduate Attribute

Engineering knowledge: Apply the knowledge of mathematics, science, engineering fundamentals, and an engineering specialization to the solution of complex engineering problems.
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.
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.
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.
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.
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.
Environment and sustainability: Understand the impact of the professional engineering.
Ethics: Apply ethical principles and commit to professional ethics and responsibilities and norms of the engineering practice.
Individual and team work: Function effectively as an individual, and as a member or leader in diverse teams, and in multidisciplinary settings.
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.
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.
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.
Infrastructure

Facilities

NAME OF THE LAB: AIDS LABORATORY

AREA OF THE LABORATORY: 118 Sq.m

STAFF INCHARGE: Mrs. ANBARASI R

IT Department Computer Lab at AMACE Kanchipuram

Major Equipment’s:

  • Personal Computers

Operating System’s:

  • Windows10
  • Ubuntu

64 BIT Software’s:

  • Android studio
  • Visual studio Code
  • Cordova
  • Wire-shark
Learning Approach

Activities

Coming Soon

Programme Educational Objectives (PEOs)

Graduate can

PEO 1

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.

PEO 2

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.

PEO 3

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

PEO 4

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

PEO 5

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

Programme Outcomes(PSOs)

Graduate can

  • Evlove AI based efficient domain specific processes for effective decision making in several domains such as business and governance domains.
  • Arrive at actionable Foresight, Insight, hindsight from data for solving business and engineering problems.
  • 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.
  • 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.
  • Carry out fundamental research to cater the critical needs of the society through cutting edge technologies of AI.

Programme 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.

Our Team

Faculty Members

S.No Name Designation FIN AICTE ID
1 JANARTHANAN RAMAMOORTHY Assistant Professor 2644911983
2 KRITHIGA RAJABATHAR Assistant Professor 2669651991 1-44748695180
3 PRABAVATHI G Assistant Professor 2691241991 1-44924030012
Common Questions

Frequently Asked Questions – B Tech Artificial Intelligence and Data Science

B.Tech Artificial Intelligence and Data Science is a four-year undergraduate engineering program that focuses on Artificial Intelligence, Machine Learning, Data Analytics, Deep Learning, and Big Data Technologies to prepare students for future technology careers.

The department offers industry-oriented learning, experienced faculty members, advanced laboratories, practical training, internships, hackathons, workshops, industrial visits, and AI-driven projects that help students gain real-world experience in emerging technologies.

Students can pursue careers as:

Data Scientist Artificial Intelligence Engineer Machine Learning Engineer Data Analyst Big Data Engineer Data Architect Business Intelligence Analyst AI Research Associate Data engineer

Yes, the department supports internships, placement training, industry interaction programs, and skill development activities to help students secure jobs in leading IT and AI companies.

Admissions Open

B Tech Artificial Intelligence and Data Science 2026–27
Counselling Code: 1503

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Program Details
Duration
4 Years (8 Semesters)
Affiliation
Anna University
Approval
AICTE Approved
Location
Vadamavandal, near Kanchipuram
Established
2023
Systems
300+ Computers
🎓 Admissions Open 2026–27
Counselling Code: 1503  |  AICTE Approved
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