Artificial Intelligence and Data Science
Encouraging the Upcoming Generation of Astute Innovators
B.Tech. Artificial Intelligence and Data Science
Infotech for AI and Data-Core Domains
KiTE’s B.Tech program in Artificial Intelligence and Data Science is an industry-aligned degree designed to develop future-ready AI engineers and data professionals capable of building intelligent, data-driven systems. Rooted in strong foundations of mathematics, statistics, algorithms, and computer science, the program equips students with the theoretical depth and applied skills required to design, develop, and deploy machine learning models, analytical frameworks, and intelligent software solutions.
Through a rigorous combination of core academics, hands-on laboratories, real-world datasets, and industry-integrated learning experiences, students are prepared for high-impact careers in artificial intelligence, data science, analytics, and automation.
Program Overview
Program Type
Duration
Department
Program Status
Credits Required
Core Courses:
Elective Courses
Why B.Tech. Artificial Intelligence and Data Science at KGiSL Institute of Technology?
Industry-aligned autonomous curriculum
Flipped classrooms with integrated labs
Active industry internships and projects
KGiSL campus placement program
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
Vision and Mission
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.
Mission
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
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
Problem analysis
Identify, formulate, review research literature, and analyze complex engineering problems, reaching substantiated conclusions with consideration for sustainable development (WK1 to WK4).
PO3
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
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
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
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
Ethics
Apply ethical principles and commit to professional ethics, human values, diversity, and inclusion; adhere to national and international laws (WK9).
PO8
Individual and collaborative teamwork
Function effectively as an individual, and as a member or leader in diverse, multidisciplinary teams.
PO9
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
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
Life-long learning
Life-long learning: Recognize the need for, and have the preparation and ability for:
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
How to Apply?
Candidates seeking admission to the B.Tech. AI&DS degree course are required to submit the following certificates: