Computer Science and Engineering

Developing Competent Computing Professionals for an Intelligent and Connected World

B.E. Computer Science and Engineering
Engineering for Modern Computer Science Domains
KiTE’s B.E. program in Computer Science and Engineering is an industry-focused degree designed to cultivate the next generation of software architects, AI specialists, and digital leaders. Rooted in the strong foundation of mathematics, algorithms, and fundamental engineering principles, the program provides students with the theoretical depth and practical coding expertise required to design, develop, and manage complex computing systems.
Through the combination of rigorous academics, hands-on lab sessions, and value-added certifications, students are prepared not only for successful, long-term technical careers, but also entrepreneurial ventures in a rapidly evolving technological landscape.
Program Overview
Program Type
Duration
Department
Program Status
Credits Required
Core Courses
Elective Courses
Why B.E. Computer Science and Engineering at KGiSL Institute of Technology?

Industry-aligned autonomous curriculum

Flipped classrooms with integrated labs

Supported by CSE Research Centre

Active industry internships and projects

KGiSL campus placement program
Placements and Achievements
The Department of Computer Science and Engineering maintains a strong track record of placements in core IT, software product development, and analytics companies. Graduates are consistently recruited by major multinational corporations and leading Indian IT services firms.
Top Placements - Campus Recruitment
Vision and Mission

Vision
To evolve as a Prominent Department in producing Highly Competent Computer Science and Engineering Graduates contributing to the welfare of the Industry and Society at large.

Mission
Objectives and Outcomes
Program Educational Objectives
PEO1
Excel in the software, hardware, and networking professions with immense knowledge in the latest technologies of the computer science field.
PEO2
Develop innovative products and solutions through high precision of analysis, computing, and problem-solving skills.
PEO3
Exhibit as lifelong, socially responsible engineers possessing high ethical and moral values needed by society.
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
Recognize the need for, and have the preparation and ability for:
Program Specific Outcomes
PSO1
Apply the technical skills of Data Science, Artificial Intelligence, Cloud Computing and Networking to provide solutions for industrial and societal requirements.
PSO2
Use appropriate modern tools and IDEs for real-time software development.
PSO3
Apply and adopt contemporary software development methodologies and standards which suits the dynamism of Societal and Industrial nature.
A Transformative Learning Journey
The CSE program is designed for Core Competence, ensuring graduates possess a strong foundation in Mathematics, Science, and Engineering fundamentals necessary to analyze, design, and create computing solutions for real-world problems.
The learning journey goes beyond theoretical concepts, focusing on Career Advancement by combining intensive coding practice, algorithmic problem-solving, and practical application. Students engage in major and minor projects, participate in coding hackathons, and utilize specialized labs to translate classroom knowledge into functional, market-ready software solutions. This environment fosters lifelong learning and adaptability to emerging technologies.
What Makes Our B.E. CSE Program Sought After?

Forward Curriculum

Advanced Lab Ecosystem

Research & Innovation Focus

Value-added Courses

Industry Collaboration

Professionalism & Ethics
Curriculum Overview
The B.E. Computer Science and Engineering 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
Year II
Year III
Semester Highlights
Phase
Duration
Focus Areas
Key Activities
Foundation
Semester I & II
Engineering fundamentals, Basic Sciences, Introduction to Programming (C/C++, Python), and Digital Logic.
Extensive practical sessions in programming labs; Technical communication skills development.
Core CSE
Semester III & IV
Data Structures, Design and Analysis of Algorithms, Object-Oriented Programming, Computer Architecture, and Discrete Mathematics.
Implementation-focused projects; participation in departmental tech clubs and societies like CSI, ISTE.
Advanced & Elective
Semester V & VI
Operating Systems, Networks, Software Engineering, Professional Electives (AI/ML/Data Science), and Mandatory Internship (after Sem VI).
Choosing initial specialization track electives; Value-added certification courses in high-demand technologies; Industrial training/internship.
Project & Career
Semester VII & VIII
Advanced Professional Electives, Open Electives (inter-disciplinary subjects), and the Major Final Year Project (20+ credits).
Research paper publication encouragement; Placement training and mock interviews; Final Major Project defense and presentation.
Specializations Offered (Professional Elective Tracks)
Students have the flexibility to choose a concentrated stream of electives in high-demand domains like
Artificial Intelligence and Machine Learning
Data Science and Analytics
Cyber Security
Cloud Computing and DevOps
Software Development and Architecture
How to Apply?
For Registration, submit your
Candidates seeking admission to the B.E. CSE degree course are required to submit the following certificates:
📞 For Admission Contact Number
Placements and Achievements
The Department of Computer Science and Engineering maintains a strong track record of placements in core IT, software product development, and analytics companies. Our graduates are consistently recruited by major multinational corporations and leading Indian IT services firms.
Batch
Recruiter
Job Profile
Number of Offers
2023-2024
Tata Consultancy Services (TCS)
IT Analyst
18
2023-2024
Cognizant Technology Solutions (CTS)
Programmer Analyst Trainee
15
2023-2024
Wipro
Project Engineer
12
2023-2024
Capgemini
Software Engineer
10
2023-2024
HCLTech
Software Trainee
8
2023-2024
Infosys
Systems Engineer
7
2023-2024
Reditmus Communications India Pvt Ltd, Coimbatore
Software Developer
5
2023-2024
Corizo, Bengaluru
Data Analyst Intern
4
Department Achievements
Innovation & Research
Faculty Recognition
Code Performance
Placement Page
Achievements Page
Gallery Section




