Department of Artificial Intelligence and Data Science

About the Department

B.Tech in Artificial Intelligence and Data Science is an undergraduate program designed to meet the demands of today’s digital era. It focuses on providing students with comprehensive training and deep knowledge of the latest technological advancements. The program aims to enable students to develop practical solutions to real-world societal challenges through Experiential-Learning Modules. Its curriculum, carefully structured by experts, aligns with current industry requirements. The course equips students with essential competencies in areas such as Artificial Intelligence, Machine Learning, Data Science, Advanced Analytics, and Mathematical Modeling.

The program, spanning 4 years and divided into 8 semesters, equips students with the skills and expertise needed for R&D positions in industry, academia, and research laboratories. It also emphasizes practical applications through elective courses in domains like robotics, medical signal processing, data mining, business analytics, and more.
Upon completion, graduates have opportunities for fully paid internships and placements at top companies like Intel, Cerner, Robert Bosch, DELL, etc. The program’s focus on AI and data science prepares students for high-paying careers in industries such as manufacturing, e-commerce, banking, finance, transport, and healthcare, where intelligent business solutions and big data solutions are in high demand.

NVIDIA Ambassador

The Department of Artificial Intelligence and Data Science’s ambassadorship with NVIDIA’s academic programs highlights its dedication to cutting-edge technology education. This partnership offers students and faculty access to advanced resources, industry projects, and networking opportunities, shaping them into future tech leaders.

  • Organized student participation in three Nvidia GTC Global Conferences through NVIDIA academic programs.
  • Secured NVIDIA sponsorship for AI Lab equipment, including the NVIDIA DGX Server and Jetson Kit.
  • Industrial collaboration session at the NVIDIA Bangalore campus to foster industry partnerships and knowledge exchange.

Startup

Name Of The Startup :

Insiflo AI Private Limited

Name Of The Students :

Dhanavishnu A, Paushigaa S

Funds Received For A Startup :

Microsoft Startup Fund

Name Of The Startup :

Inogar Private Limited

Name Of The Students :

Somanath T.G, Shaafiqe M, Dhyaneshwaran

Funds Received For A Startup :

Raw Materials Support From Royal University

MoU and Academic Partners

Qlik, Tableau, NVIDIA, Databricks, Datacamp, JetBrains, and YardStick Digital Solutions, Krypc Technologies Pvt Ltd.

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Collaboration

IIT Bombay Entrepreneurship cell, Royal Universys Webnet Private Limited, Analytics India Magazine.

E-Cell IIT Bombay
Universys
Analytics India Magazine

Professional Bodies Membership

IIT Bombay Entrepreneurship cell, Royal Universys Webnet Private Limited, Analytics India Magazine.

ACM
IEEE
ISTE

Department Achievements

Association Activites

Our Vision

Our Vision

To nurture technically competent and data-centric AI professionals through an advanced, innovative, and multidisciplinary learning ecosystem that promotes ethical AI practices, supports higher education and research, and enables graduates to solve present and emerging societal challenges.

Our Mission

Our Mission

  • To strengthen collaboration with industry partners and produce graduates equipped with real-world competencies and future-ready skills.
  • To promote a multidisciplinary, research-oriented, and innovation-driven learning environment.
  • To foster lifelong learning and uphold strong ethical values and professional standards.

Regulations

Programme Educational Objectives

Programme Educational Objectives

  • PEO1

    Graduates will be able to demonstrate technical skills, competency in Artificial Intelligence and Data Science, exhibit proficiency and team management capability with proper communication in the job environment.

  • PEO2

    Graduates will be able to work effectively in multidisciplinary engineering projects and support the growth of the economy of a nation by becoming entrepreneurs with a lifelong learning practice.

  • PEO3

    Graduates will be able to carry out the research in the contemporary areas of Artificial Intelligence, Data Science and address the basic needs of the society.

HOD Profile

Dr.G.Vijaya

Head of the Department – Artificial Intelligence and Data Science

Dr.G.Vijaya is now working as a Professor & Head in the Department of Artificial Intelligence and Data Science, Karpagam College of Engineering, Mayleripalayam, Coimbatore. She obtained her Ph.D., in Computer Science and Engineering from Annamalai University, Chidambaram and obtained her B.E (CSE) and M.E (CSE) from University of Madras & Anna University respectively. Dr. G.Vijayas' illustrious career spans over two decades of pioneering research and academic leadership. She has received Best Women Faculty Award 2025 from International Journal for Modern Trends in Science and Technology. She has published more than 35 International Journals which includes Elsevier, Springer and Web of Science. She also published 36+ International Conferences. She is a prestigious member of various professional bodies like: ISTE, CSI, IAENG, IEAE, and ISAC. She is acting as an editor for the book entitled “Futuristic Trends in Computing Technologies and Data Sciences” and also acts as an Advisory Committee Member and Programming Committee Member for various International Conferences. She has contributed extensively in the publication of utility Patents which includes: German, UK, South African and Indian Design Patents.

Faculty

The Department of Artificial Intelligence & Data Science at KCE has expert faculty specializing in intelligent systems and data-driven technologies. By integrating research and experiential learning, they empower students to innovate and lead in AI-driven industries.

View Faculty

Domain to Deliver

CoreAddition to Core
Data ScienceApache Spark
Data AnalyticsApache Kafka
R ProgramApache Hadoop
Foundation of AISqoop
Machine LearningFlume
Deep LearningData Visualization
RPA / Robotics
Data Visualization
Computer Vision
NLP

Lab Facilities

AI Tech Lab

Microsoft Lab

Data Centre

Computer Vision & IOT

Job Opportunities

  • Artificial Intelligence Engineer
  • Data Scientist
  • Business Intelligence Developer
  • Data Analyst
  • Product Analyst
  • Full stack developer
  • Machine Learning Engineer
  • Machine Learning Architect

Top companies Using AI and Data Science

IN GLOBALIN INDIA
AmazonTata Consultancy Services
GoogleAccenture
DatabricksTiger Analytics
DataRobotAmazon India
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PROGRAMS

PROGRAMS

B.Tech – Artificial Intelligence and Data Science

The program is designed to build strong foundations in Artificial Intelligence, Data Science, and intelligent computing to meet current and future industry demands.

  • Regular

    4 Years Duration Regular

  • Lateral Entry

    3 Years Duration Lateral Entry

  • Regular

    8 Semesters Regular

  • Lateral Entry

    6 Semesters Lateral Entry

  • Total Seats

    120 Total Seats

Eligibility

  • 10+2 system of Education
  • Must have secured a pass in Physics, Chemistry and Mathematics in the qualifying examination.

Scope for Higher Studies

  • M.E. / M. Tech. / MBA / M.S. / Researcher

Placement Offers