Undergraduate Program
Artificial Intelligence and Data Science
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Encouraging the Upcoming Generation of Astute Innovators

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Best Artificial Intelligence and Data Science Engineering college in Coimbatore

Infotech for AI and Data-Core Domains

B.Tech in Artificial Intelligence & Data Science in KiTE is an industrial engineering course which strives to create qualified artificial intelligence and data science professionals/engineers. At one of the best artificial intelligence and data science engineering colleges in Coimbatore, KiTE offers a challenging engineering course with the main objective of establishing sound fundamentals in mathematics, statistics, algorithms, computer programming languages, and basics of computer science. The course will enable students to gain insights into the future technologies which will make the digital world.

Program Overview

Program Type
Undergraduate
Duration
4 Years (8 Semesters)
Department
Department of Artificial Intelligence and Data Science
Program Status
Autonomous (Affiliated to Anna University)
Credits Required
167 (Choice-Based Credit System)
Core Courses:
14 Professional Core Papers
Elective Courses
7 Elective Papers

Why Study B.Tech. in Artificial Intelligence and Data Science in KGiSL Institute of Technology?

KGiSL Institute of Technology ranks as one of the Best Artificial Intelligence and Data Science Colleges in Coimbatore since they impart high-quality engineering education that will keep them ahead of the curve in the future. The program is carefully crafted in such a way that it prepares students technically and enables them to solve real-life problems. Hence, KiTE emerges as an excellent destination for aspirants looking forward to joining the Best Artificial Intelligence and Data Science Colleges in Coimbatore.

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Industry-Aligned AI and Data Science Engineering Courses in Coimbatore

At KiTE Institute of Technology, we provide AI and Data Science engineering education courses that are industry-centric and geared towards equipping our students with knowledge and skills needed to thrive in the intelligent era. We offer opportunities for industry-academic collaboration, mentoring, and innovation training to our students. Through future-focused education, KiTE prepares our students for their future careers in AI, automation, analytics, and more.
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Autonomous Curriculum in Line with Industrial Needs

As regards the curriculum, it is autonomously crafted by academicians as well as professionals in order to ensure that it conforms to international norms of technology. Students get a detailed introduction to Artificial Intelligence, Machine Learning, Deep Learning, Data Analytics, Neural Networks, Natural Language Processing, Cloud Computing, and Intelligent Automation. As far as a blend of technical skills as well as personal attributes is concerned, KiTE can be regarded as one of the Top 10 AI and Data Science Colleges in Coimbatore.
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Integrated Flipped Classrooms & Labs

The flipped classroom design of KiTE involves an active learning experience where the students are engaged in their learning process, are self-sufficient learners, and explore things on their own. The flipped classrooms at KiTE are further reinforced by advanced labs from the School of Innovation such as Cloud Computing Lab, AI Lab, Data Analytics Lab, Blockchain Lab, Web 3.0 Lab, Full Stack Development Lab, and Cybersecurity Lab.
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Exposure through Live Projects & Case Studies

Learning through live projects and case studies is part and parcel of the curriculum of KiTE. In addition to this, students solve societal and business problems through AI-driven solutions.
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Industry Internships and Projects

Being among the Best Artificial Intelligence and Data Science Colleges in Coimbatore, KiTE provides students a lot of opportunities to work hand-in-hand with industry professionals in the form of internships, workshops, guest lectures, bootcamps, and real-time projects.
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KGiSL Campus Placement Program

With a robust placement cell, KiTE, one of the top 10 AI & Data Science colleges in Coimbatore, ensures that all its students are career ready right from day one at college. The placement cell provides students with career counseling, aptitude classes, mock interviews, technical interviews, certification programs, resume writing workshops, and other recruiter-related programs. All students benefit from getting interviews with top recruiters in the industry through the KGiSL campus placement program.
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Future Ready Innovators

Being among the Best Artificial Intelligence and Data Science Colleges in Coimbatore, KiTE trains its students to think like innovators, researchers, and entrepreneurs through hackathons, coding events, product development courses, and innovation-related initiatives. Students leave college as future-ready innovators who can drive the next wave of AI technologies in various industries.

Placements and Achievements

The Department of Artificial Intelligence and Data Science maintains a strong track record of placements. Graduates are consistently recruited by multinational corporations and leading Indian IT services firms.

Top Placements - Campus Recruitment

CHITRESH R

Zoho Corporation

Technical Trainee

₹ 7 LPA

AI & DS 2026
View →

DHARANIPRIYA S V

AVASOFT

Graduate Engineer Trainee

₹ 6 LPA

AI & DS 2026
View →

Rishvanth K.K

AVASOFT

Trainee Business Efficiency Architect

₹ 6.00 LPA

AI & DS 2026
View →

Surajee Kumar S

AVASOFT

Graduate Engineer Trainee

₹ 6.00 LPA

AI & DS 2026
View →

Prajith R

Zoho Corporation

Site Reliability Engineer

₹ 5.6 LPA

AI & DS 2026
View →

Prithiv R

Zoho Corporation

Site Reliability Engineer

₹ 5.6 LPA

AI & DS 2026
View →

JAI SRINI VASAN J

topmate.io

Software Developer Intern

₹ 5.5 LPA

AI & DS 2026
View →

Bhavathariniya G

SPYYDA Tech Solutions

Software Developer Intern

₹ 5.4 LPA

AI & DS 2026
View →

Vision and Mission

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Vision

To develop technically competent and socially responsible computing professionals powered with the required skills in the field of Artificial Intelligence to contribute globally for the benefit of industry and society.

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Mission
To engage the students in a smart learning ambiance for developing competent AI professionals.
To enrich faculty members with required skill sets through envisioned academia and industry interaction.
To develop state-of-the-art infrastructure that supports digital education and skilling aligned with industry demands.
To nurture students' research skills through project-based learning and cultivate employability and entrepreneurial expertise.
To foster ethical values and address societal challenges through students' engagement in co-curricular and extra-curricular activities.

Objectives and Outcomes

Program Educational Objectives
PEO1

To enable graduates to pursue higher education and research, or have a successful career in industries associated with Computer Science and Engineering, or as entrepreneurs.

PEO2

To ensure that graduates will have the ability and attitude to adapt to emerging technological changes.

PEO3

To help graduates attain professional skills by ensuring life-long learning with a sense of social values.

Program Outcomes

PO1

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Engineering knowledge

Apply knowledge of mathematics, natural science, computing, engineering fundamentals, and an engineering specialization, as specified in WK1 to WK4 respectively, to develop solutions for complex engineering problems.

PO2

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Problem analysis

Identify, formulate, review research literature, and analyze complex engineering problems, reaching substantiated conclusions with consideration for sustainable development (WK1 to WK4).

PO3

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Design / development of solutions

Design creative solutions for complex engineering problems and design/develop systems, components, or processes to meet identified needs, considering public health and safety, whole-life cost, net zero carbon, culture, society, and environment as required (WK5).

PO4

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Conduct investigations of complex problems

Conduct investigations of complex engineering problems using research-based knowledge, including design of experiments, modelling, analysis, and interpretation of data, to provide valid conclusions (WK8).

PO5

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Engineering tool usage

Create, select, and apply appropriate techniques, resources, and modern engineering and IT tools, including prediction and modelling, recognizing their limitations to solve complex engineering problems (WK2 and WK6).

PO6

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The engineer and the world

Analyze and evaluate societal and environmental aspects while solving complex engineering problems, considering their impact on sustainability, economy, health, safety, legal framework, culture, and environment (WK1, WK5, and WK7).

PO7

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Ethics

Apply ethical principles and commit to professional ethics, human values, diversity, and inclusion; adhere to national and international laws (WK9).

PO8

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Individual and collaborative teamwork

Function effectively as an individual, and as a member or leader in diverse, multidisciplinary teams.

PO9

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Communication

Communicate effectively and inclusively within the engineering community and society at large, including comprehending and writing effective reports and design documentation, and making presentations while considering cultural, language, and learning differences.

PO10

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Project management and finance

Apply knowledge and understanding of engineering management principles and economic decision-making to one’s own work, as a member and leader in a team, and to manage projects in multidisciplinary environments.

PO11

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Life-long learning

Life-long learning: Recognize the need for, and have the preparation and ability for:

independent and life-long learning,
adaptability to new and emerging technologies
critical thinking in the broadest context of technological change (WK8).
Program Specific Outcomes
PSO1

To analyze, design and develop computing solutions by applying foundational concepts of Computer Science and Engineering.

PSO2

To apply software engineering principles and practices for developing quality software for scientific and business applications.

PSO3

To adapt to emerging Information and Communication Technologies (ICT) to innovate ideas and solutions to existing/novel problems.

Curriculum Overview

The B.Tech. Artificial Intelligence and Data Science curriculum at KGISL Institute of Technology is guided by the Anna University regulations and uses a Choice-Based Credit System (CBCS). Spanning four years, the curriculum is designed to provide comprehensive technical depth as well as interdisciplinary flexibility.

Year I
Core Science and Mathematics
Basic Computing and Programming
Engineering Basics
Professional Skills
Year II
Data Structures and Algorithms
Artificial Intelligence and Machine Learning
Databases Management
Operating Systems and Computer Networks
Mathematics and Applied Computing
Year III
Deep Learning
Data Visualization and Big Data Analytics
AR and VR
Electives and Emerging Technologies
Project and Research Skills
Internships and Industry Exposure
Year IV
DevOps
Ethics
Capstone Projects
Advanced Electives and Centers of Excellence
Industry Internships and Live Projects
Professional Development

Admissions

Admission to B.Tech Artificial Intelligence and Data Science at KiTE – How to Apply?

As part of the admission process at KiTE Institute of Technology, recognized as one of the leading engineering colleges in Coimbatore, students aspiring to pursue B.Tech Artificial Intelligence and Data Science are encouraged to join this prestigious institution. Candidates seeking admission must have successfully completed their 10+2 (HSC) with Mathematics, Physics, and Chemistry as core subjects.

Admission to one of the best AI and Data Science engineering colleges in Coimbatore is offered through TNEA counseling and the management quota. Applicants are required to submit original certificates, including 10th and 12th mark sheets, transfer certificate, and community certificate during the admission process.

The admission procedure is simple, transparent, and accessible to all deserving students, ensuring opportunities for quality education and career-focused learning.

How to Apply?

Candidates seeking admission to the B.Tech. AI&DS degree course are required to submit the following certificates:

Transfer Certificate – original and 3 photocopies.
HSC / 12th Mark Statements – original and 3 attested photocopies.
SSLC / 10th Mark Statements – original and 3 attested photocopies.
TNEA Allotment Order and Counselling Call Letter – original and 3 attested photocopies.
Conduct Certificate – original and 3 attested photocopies.
Community Certificate – original and 3 attested photocopies.
Migration Certificate – original and 3 attested photocopies (for candidates from boards outside Tamil Nadu State).
Passport size Photograph – 6 Nos.

Frequently Asked Questions

KiTE Institute of Technology is one of the best colleges for B.Tech Artificial Intelligence and Data Science in Coimbatore, offering an autonomous curriculum, advanced labs, industry-focused learning, and excellent placement opportunities.

Students receive strong placement opportunities in Artificial Intelligence, Data Science, Machine Learning, Analytics, Software Development, and IT industries with leading recruiters.

The curriculum includes Artificial Intelligence, Machine Learning, Data Analytics, Deep Learning, Python Programming, Big Data, Cloud Computing, and Business Intelligence.

Yes. KiTE provides hands-on practical training through advanced AI and Data Science labs, live projects, industry collaborations, internships, hackathons, and workshops, ensuring students gain valuable real-time experience.

Students can apply through TNEA counselling or opt for direct admission through the management quota.