Admission 2026

Computer Science with AI & ML

Home Computer Science with AI & ML

About the
Department

Welcome to the Department of Computer Science and Engineering (Artificial Intelligence & Machine Learning) and Computer Applications. The department is dedicated to preparing the next generation of computing professionals, AI engineers, and software architects equipped to address complex engineering and societal challenges.

As intelligent computing and data-driven systems transform modern industries, the department provides an academic ecosystem combining strong computer science foundations with specialized competencies in deep learning, intelligent algorithms, enterprise application development, and cloud computing architectures. Through an outcome-based curriculum, hands-on lab sessions, and research mentorship, we empower students to architect robust and ethical technology solutions.

The department offers:

B.E. Computer Science and Engineering (AI & ML): A 4-year undergraduate programme blending foundational computing systems with machine learning, computer vision, natural language processing, and deep neural architectures.

Master of Computer Applications (MCA): A 2-year postgraduate programme focused on full-stack application development, enterprise database architecture, cloud infrastructure, and software project management.

Vision

To be a premier centre of excellence in education, applied research, and innovation in Artificial Intelligence, Machine Learning, and Computer Applications, producing technically proficient, socially responsible, and industry-ready professionals.

Mission

To deliver rigorous foundational and specialized education in computer science, intelligent algorithms, and modern software engineering paradigms.

To foster hands-on technical competence through modern computing laboratories, industry-aligned frameworks, and applied research projects.

To establish active collaborations with industry, academia, and research organizations to solve complex technological challenges and promote innovation.

To cultivate ethical principles, professional leadership, lifelong learning, and awareness of societal well-being in designing intelligent and secure software systems.

Programme
Educational
Objectives

B.E. CSE (AI & ML)

PEO 1:

Apply core principles of computer engineering and machine learning to analyze, design, and deploy intelligent computational systems.

PEO 2:

Pursue successful careers as AI engineers, software developers, data practitioners, researchers, or entrepreneurs across global tech sectors.

PEO 3:

Adapt to rapidly evolving AI architectures, generative technologies, and computational paradigms through continuous professional learning.

PEO 4:

Demonstrate professional integrity, ethical responsibility, effective communication, and collaborative leadership in multidisciplinary engineering teams.

Master of Computer
Applications (MCA)

PEO 1:

Apply computer science principles and software engineering practices to design and develop scalable enterprise applications.

PEO 2:

Excel in IT and software consulting roles by leveraging modern development frameworks, databases, and cloud platforms.

PEO 3:

Exhibit effective communication, project management acumen, and ethical leadership in multidisciplinary team environments.

Programme
Outcomes

The B.E. programme adheres to the 12 graduate attributes mandated by the National Board of Accreditation (NBA) and Anna University:

PO 1:

Engineering Knowledge: Apply the knowledge of mathematics, science, engineering fundamentals, and computing specialization to the solution of complex engineering problems.

PO 2:

Problem Analysis: Identify, formulate, review research literature, and analyze complex engineering problems reaching substantiated conclusions using first principles.

PO 3:

Design/Development of Solutions: Design solutions for complex engineering problems and design system components or processes that meet the specified needs with appropriate consideration for public health and safety.

PO 4:

Conduct Investigations of Complex Problems: Use research-based knowledge and research methods including design of experiments, analysis and interpretation of data, and synthesis of information to provide valid conclusions.

PO 5:

Modern Tool Usage: Create, select, and apply appropriate techniques, resources, and modern engineering and IT tools including prediction and modeling to complex engineering activities.

PO 6:

The Engineer and Society: Apply reasoning informed by contextual knowledge to assess societal, health, safety, legal, and cultural issues relevant to professional engineering practice.

PO 7:

Environment and Sustainability: Understand the impact of professional engineering solutions in societal and environmental contexts, and demonstrate knowledge of sustainable development.

PO 8:

Ethics: Apply ethical principles and commit to professional ethics, responsibilities, and norms of engineering practice.

PO 9:

Individual and Team Work: Function effectively as an individual, and as a member or leader in diverse teams, and in multidisciplinary settings.

PO 10:

Communication: Communicate effectively on complex engineering activities with the engineering community and with society at large.

PO 11:

Project Management and Finance: Demonstrate knowledge and understanding of engineering and management principles and apply these to manage projects in multidisciplinary environments.

PO 12:

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.

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Program
Specific Outcomes

B.E. CSE (AI & ML)

PSO1:

Apply knowledge of mathematical models, algorithmic theory, and core computing systems to formulate and solve complex artificial intelligence and machine learning problems.

PSO2:

Demonstrate hands-on proficiency in designing, training, and deploying deep learning, computer vision, and NLP models using industry-standard tools (Python, PyTorch, TensorFlow, Scikit-Learn, and MLOps platforms).

PSO3:

Exhibit ethical responsibility, explainability (XAI), and sound judgment in engineering data-driven and automated software solutions for business and societal needs.

Master of Computer
Applications (MCA)

PSO1:

Apply advanced programming techniques, data management, and system architecture to develop full-stack enterprise software solutions.

PSO2:

Utilize modern software development methodologies, version control, cloud computing environments, and testing tools to deliver secure applications.

PSO3:

Demonstrate professional ethics, data privacy compliance, and systematic problem-solving in delivering IT-enabled business solutions.

Hear it from
our Engineers

Abbeer Wani,

2019-2023 CSE

I am a CSE undergraduate student from Kashmir . The department of CSE and its faculty members are what makes a student’s college life worth it . The department is well equipped with the facilities of current need as well as the teaching being well tailored. There is never a dull day in the department as there is one or the other student activity happening , which indeed boosts a student’s confidence.My college journey at KCG might have ended but the push it gave me in my life to thrive for a better being is what I belief is the most important aspect.

Prithiyanga,

2021-2025 batch, Co President, INNOCOM

Finding one’s innate talent and nurturing it is helpful in building a solid future. The department does it right by supporting students in their co-curricular, extra-curricular as well as academic pursuits. But for the support of the HOD and faculty, I would not have been able to launch INNOCOM- an innovative club or stage a number of events. Being a student at KCG has been a wonderful experience, and I am rest assured that ‘KCG has built roads towards success, and I just had to take a few steps and walk through it.

Mahesh Shedge,

2019 CSE

“I am Mahesh Shedge, 2019 CSE pass out from KCG College of Technology. 4 years of college experience in KCG was very smooth. The college has a well-established infrastructure with a huge campus and is located by a lake that adds to its aesthetic value. College offers a lot of opportunities in terms of both curricular and extracurricular. There are different active cells and clubs to be a part of. Faculties are always ready to help the students by offering their support and guidance. ”

Shyamily R,

2020-2024 Batch, Student Advisory Council Member

“The Computer Science and Engineering (CSE) department at my college is known for its excellence in education and research in the field of computer science. The faculty members and the HOD in the department are very approachable, helpful, highly qualified, and experienced. They provide a supportive environment for students to learn and grow. I have had several positive interactions with them. They are also involved in research collaborations with other academic institutions and industries, providing students with valuable exposure to real-world applications of computer science.