The four-year Bachelor of Computer Applications (Honours) program at Rajagiri College of Social sciences is meticulously crafted to cater to the evolving demands of the information technology sector. With a focus on providing students with a comprehensive understanding of computer science principles and practical skills, our BCA(Hons.) program prepares graduates for a wide range of roles in the IT industry. Affiliated with Mahatma Gandhi University, Kottayam, Kerala, India, our BCA curriculum encompasses a diverse array of Computer Science subjects with Certifications and Specializations. Through hands-on projects, practical labs, and industry-aligned coursework, students acquire proficiency in coding, software development, system analysis, and problem-solving.

Our program is designed to instil critical thinking, communication, and teamwork skills in students, ensuring they are well-equipped to tackle real-world challenges in the IT field. With a focus on emerging technologies and industry trends, our BCA graduates are prepared to adapt to the rapidly changing landscape of information technology and make meaningful contributions to organizations across various sectors.

Specializations Offered:

• Data Analytics
• Advanced Programming
• Computer Security

To enhance industry readiness and global competitiveness, the Department of Computer Science offers specialized Add-On Programmes in Advanced Cybersecurity and Artificial Intelligence & Machine Learning in association with Grant Thornton.

Students may opt for one add-on track alongside their regular degree programme. These industry-driven pathways complement the academic curriculum with structured certification mapping and intensive hands-on training.

Cybersecurity

Core Focus Areas:

• Ethical Hacking & VAPT
• Network Security
• Cyber Défense & Incident Response
• Advanced Threat Analysis & Red Teaming

Certification Mapping:

The programme is aligned with the following globally recognized certifications:

• Certified Ethical Hacker(CEH) by EC Council
• Google Cloud Cybersecurity Certificate

Artificial Intelligence & Machine Learning

Core Focus Areas:

• Machine Learning & Deep Learning
• Generative AI & Large Language Models (LLMs)
• Computer Vision & NLP
• AI Deployment & MLOps

Certification Mapping:

The programme is aligned with the following globally recognized certifications:

• Generative AI Leader (Google)
• Google AI Professional Certificate

Through labs, simulations, and capstone projects, students gain practical skills that significantly enhance employability and global career prospects.

Program Structure

1. The 4-year BCA programme has three options,
   1. 3-year UG Degree with major in Computer Applications
   2. 4-year UG Degree (Honours), and
   3. 4-year UG Degree (Honours with Research).
2. Students who choose to exit after 3 years shall be awarded UG Degree in Computer Applications after the successful completion of the required minimum of Courses of 133 credits.
3. A four-year UG Honours Degree in the Computer Applications shall be awarded to those who complete with a specific number of Courses of minimum 177 credits.
4. Honours students can take up a capstone project of 12 credits along with 1 MOOC course based on the specialization track they have opted for.

Honours with Research

If the student has achieved a minimum of 75% marks in all six semesters of the degree, they are eligible to apply for the honours programme with a research option. The department will publish a ranking of the students based on their academic performance and research aptitude, which will be evaluated using a suitable selection criterion. Out of the total number of students, only 5% are eligible to choose the research option. These students are selected from the previously indicated rank list. Students who aspire to pursue research as a career may opt for honours with research have to take Research courses along with a research project of total 12 credits and 2 MOOC Courses. Students who have chosen the honours with research stream shall do their entire fourth year under the mentorship of a faculty member who shall be a recognized research supervisor.