Artificial Intelligence and Data Science

Course Overview

Unlocking potential through mastery in AI & Data Science.

Unlocking Tomorrow: Mastering AI & Data Science at Kangeyam Institute of Technology

Studying Artificial Intelligence & Data Science at Kangeyam Institute of Technology offers a dynamic blend of theory and practical application. Students delve into cutting-edge technologies, mastering algorithms and data analysis techniques. With industry-aligned curriculum and hands-on projects, they emerge as adept problem solvers and innovators in this rapidly evolving field.

The Program equips students with the skills and knowledge needed to excel in the rapidly evolving field of AI and Data Science.

  • Covers Machine Learning, Deep Learning, NLP, Computer Vision, Data Mining, and Big Data Analytics
  • Explores connections with Computer Science, Mathematics, and Engineering for holistic problem-solving.
  • At Kangeyam Institute of Technology, students gain expertise in AI & Data Science, mastering skills like Data Analytics, problem-solving, and AI technologies.
  • With comprehensive programs and value-added courses in Cybersecurity, Cloud Computing, and more, graduates are well-equipped for diverse career paths

Why study Artificial Intelligence and Data Science at Kangeyam Institute of Technology?

Leading-edge Syllabus

Delve into advanced AI & DS topics through a dynamic curriculum.

Expert Faculty

Learn from experienced professors dedicated to shaping future AI leaders.

Hands-On Experience

Gain practical skills through labs, projects, and internships for real-world application.

Advancing Skills in AI & Data Science at Kangeyam Institute of Technology

At Kangeyam Institute of Technology, students gain expertise in AI & Data Science, mastering skills like data analytics, problem-solving, and AI technologies. They learn to apply ethical principles and contribute to society through impactful research. With comprehensive programs and value-added courses in cybersecurity, cloud computing, and more, graduates are well-equipped for diverse career paths. Kangeyam Institute of Technology fosters a supportive learning environment, preparing students to excel in the rapidly evolving fields of AI and Data Science.

Details

Vision: To create and support technically sound professionals in the fields of Artificial Intelligence and Data Science that meet industry standards through academics and research.

Mission:

  • To nurture and enrich students, raising their standards and providing them with domain expertise for successful careers in Artificial Intelligence and Data Science.
  • To prepare students to make an effective contribution to society by conducting research activities and adhering to ethical norms.
  • To create a comprehensive learning environment that encourages students' transdisciplinary talents, support AI innovation that is aligned with industrial requirements.

  • PEO1 : Utilize their proficiencies in the fundamental knowledge of Basic Sciences, Mathematics, Artificial Intelligence, Data Science and Statistics, to build systems that require the management and analysis of large volumes of data.
  • PEO2 : Think logically, pursue lifelong learning and collaborate with an ethical attitude to design and model AI-based solutions for critical real-world problems, making a positive impact on society.
  • PEO3 : Advance their technical skills to pursue pioneering research in the field of Artificial Intelligence and Data Science and provide sustainable solutions for ecosystem’s welfare.

  • PO1 : Engineering Knowledge: Apply knowledge of mathematics, science, engineering fundamentals, and an engineering specialization to solve complex engineering problems.
  • PO2 : Problem Analysis: Identify, formulate, review research literature, and analyze complex engineering problems using 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 specified needs with appropriate consideration for public health and safety, cultural, societal, and environmental considerations.
  • PO4 : Investigation: Use research-based knowledge and methods, including design of experiments, analysis and interpretation of data, and synthesis of 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 their limitations.
  • PO6 : The Engineer and The World: Apply reasoning informed by contextual knowledge to assess societal, health, safety, legal, and cultural issues, and understand the responsibilities relevant to professional engineering practice, including environmental and sustainability concerns.
  • PO7 : Ethics: Apply ethical principles and commit to professional ethics, responsibilities, and norms of engineering practice.
  • PO8 : Individual and Team Work: Function effectively as an individual, and as a member or leader in diverse teams and in multidisciplinary settings.
  • PO9 : 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, make effective presentations, and give and receive clear instructions.
  • PO10 : 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.
  • PO11 : 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.

  • PSO1 : Interpret data for actionable insights, using industry-standard analytics and visualization to solve complex business and engineering problems.
  • PSO2 : Conduct fundamental research to cater to the critical needs of society through cutting-edge AI technologies.

60

Intake

4

Years of Study

Newsletter - Vol 1 - June 22 - Dec 22

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Newsletter - vol 2 - Jan 23 - May 23

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Newsletter - Vol 3 - June 23 - Dec 23

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Newsletter - Vol 4 - Jan 24 - May 24

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Newsletter - vol 5 - June 24 - Dec 24

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Newsletter - Vol 6 - Jan 25 - May 25

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  • Artificial Intelligence Laboratory
  • Data Science Laboratory
  • Datastructures and DBMS Laboratory
  • Networks and OS Laboratory
  • Redhat powered Cloud Laboratory
  • Mobile App Laboratory
  • Data Analytics Laboratory

S.No. Name Category Email ID Position Address
1 Dr.B.Kalaavathi Subject Experts from outside Parent University kalaavathi.b@vit.ac.in BoS Member Professor, School of Computer Science and Engineering, VIT University, Vellore – 632014
2 Dr.G.Revathy Subject Experts from outside Parent University revathy@it.sastra.ac.in BoS Member Asst. Professor (Sr.Gr.), School of Computing, SRC Sastra Deemed University, Kumbakonam - 612001
3 Dr.D.Karthika Renuka Anna University Nominee dkr.it@psgtech.ac.in BoS Member Professor, Department of Information Technology, PSG College of Technology, Peelamedu, Coimbatore - 641001
4 Ms.K.N.Vani Industry/Corporate Representative vani_kn@infosys.com BoS Member Principal, Education and Training, Infosys Limited, Mysore - 570027
5 Ms. S.Suguna Post graduate Alumnus ssugunass@gmail.com BoS Member Test Analyst, Infosys Limited, Mahindra City, Chennai - 603002

S.No. Name of the Staff Designation Profile
1 Dr. Selvi S Head of the Department View Profile
2 Mr.palani Nehru C Assistant Professor View Profile
3 Mr. Rajaram V Assistant Professor View Profile
4 Ms.brindha P Assistant Professor View Profile
5 Ms. Nivethini M Assistant Professor View Profile
6 Ms.raaji M Assistant Professor View Profile
7 N.revathi Assistant Professor View Profile

Partnerships for Progress: Bridging Academia and Industry

Kangeyam Institute of Technology has established MoUs with renowned organizations and industry leaders, facilitating exclusive access to internships, projects, and cutting-edge technologies for our students. These partnerships enhance educational outcomes and career prospects, embedding practical industry insights directly into our curriculum.

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Generative AI club

Kangeyam Institute of Technology's AI and Data Science Club builds dreams by immersing students in the latest AI technologies and data analytics through workshops, hackathons, and collaborative research projects, preparing them for future tech careers.

Enriching Expertise: Value-Added Courses in Artificial Intelligence and Data Science

Kangeyam Institute of Technology's B.Tech. in Artificial Intelligence and Data Science builds dreams by offering an advanced curriculum that combines AI technologies and data analytics, preparing students for cutting-edge careers in the tech industry.

Expanding Horizons: Connecting Students with Professional Bodies

To ensure our students stay at the forefront of industry and research developments, we actively encourage them to join highly reputed professional bodies. This engagement provides invaluable exposure to the latest advancements and networking opportunities in their fields.

CSI (Computer Society of India)
ICT Academy