Department of Computer Science with Data Science

About

Our program in Computer Science with Data Science is committed to propelling the interdisciplinary domain of Data Science forward, where statistical analysis, machine learning, and specialized knowledge intersect to uncover invaluable insights from intricate datasets.

We take pride in cultivating an interactive learning atmosphere that empowers students with the competencies and understanding required to excel in the contemporary data-centric landscape. Our goal is to nurture the upcoming cohort of Data Scientists while conducting pioneering research aimed at tackling tangible real-world issues.

Our dedication extends to fostering excellence in both academic pursuits and industry endeavors, all while prioritizing ethical and conscientious data methodologies.

Program Highlights

Hands-On Learning: Acquire practical skills through hands-on projects, working with real-world datasets to solve complex problems.

Expert Faculty: Learn from seasoned professionals and esteemed faculty who bring a wealth of industry knowledge into the classroom.

Advanced Technologies: Access state-of-the-art labs and technology, gaining proficiency in the latest tools and techniques used in the field.

Industry Connections: Leverage our extensive network for internships, industry projects, and guest lectures, connecting theory to real-world applications.

Capstone Projects: Showcase your skills through impactful capstone projects, demonstrating your readiness for the dynamic field of data science.

Career Opportunities

B.Sc CS with DS Curriculum & Syllabus

I Year	II Year	III Year
Semester – I	Semester – III	Semester – V
Tamil/ Other languages -I	Tamil/ Other languages – III	CC- IX: Data Visualization
English – I	English – III	CC- X: Data Visualization Practical
CC- I: Python Programming	CC- V: Data Structures	CC- XI: R Programming
CC- II: Python Programming Practical	CC- VI: Data Structures Practical	CC- XII: R Programming Practical
Allied I: Mathematics I	Allied III: Statistics I	EC -V: Computer Networks
Basic Tamil/Advanced Tamil/ Non-Major Elective I	SEC- IV: (Entrepreneurial Based): Web Page Design Practical	EC -VI: Big Data Analytics
SEC- I: Office Automation FC: Fundamentals of Computers	SEC- V: Desktop Publishing Practical Environmental Science	Value Education Internship / Industrial Training (During summer vacation at the end of IV semester)
Semester – II	Semester – IV	Semester – VI
Tamil/ Other languages – II	Tamil/ Other languages – IV	CC – XIII: Data Analytics
English –II	English – IV	CC – XIV: Data Analytics Practical
CC- III: Java Programming	CC- VII: Data Science Essentials	CC – XV: Natural Language Processing
CC- IV: Java Programming Practical	CC-VIII: Data Science using Python Practical	EC -VII: Artificial Neural Networks
Allied II: Mathematics II	Allied IV: Statistics II	EC-VIII: Robotics and Its Applications
Basic Tamil/Advanced Tamil/ Non-Major Elective II	SEC-VI: Emotional Intelligence	Professional Competency Skill Course: Mini Project
SEC-II: Office Automation Practical SEC- III: Quantitative Aptitude	SEC-VII: Technical Writing Environmental Science	Extension Activity

Faculty Members

Dr. M. Shanthi

HOD / Associate Professor

Mr. M. Karthick

Assistant Professor

Mrs. AR. Sangeetha

Assistant Professor

🎉 Proud Achievement by Our Students!

We are proud to share the achievements of our students from I B.Sc Computer Science with Data Science. Ms. Dayana, Ms. Malini, and Mr. Logesh secured the Second Prize in the Cricket Puzzle Competition, showcasing their analytical and problem-solving skills.

In addition, Ms. Malini actively contributed to the academic event by presenting a paper on “AI in Actuarial Science”, highlighting the role of artificial intelligence in modern actuarial practices.

The event was conducted at Crescent College, providing a valuable platform for students to demonstrate their talents and academic excellence.

“Generative AI in Full Stack Development: How AI is Transforming the Way We Code”

The Department of Computer Science organized a Technical Seminar on “Generative AI in Full Stack Development: How AI is Transforming the Way We Code” on 09 January 2026, from 10.30 AM to 11.30 AM, at the college campus.

The seminar was delivered by Mr. M. Kishok Kumar, Full Stack Engineer – Java, Cognizant Technology Solutions, Chennai. The session aimed to familiarize students with the growing impact of Generative Artificial Intelligence in modern full stack development.

During the seminar, the resource person explained the role of Generative AI in frontend and backend development, highlighting the use of AI-powered coding assistants, automation in debugging, and improved development efficiency. He also shared real-time industry use cases, helping students understand how AI is transforming software development practices in the IT industry.

The session was interactive, and students from the Department of Computer Science actively participated. The seminar provided valuable insights into emerging technologies and career opportunities in AI-driven development. Overall, the program was informative and beneficial, successfully enhancing students’ technical knowledge and industry awareness.

Five Days International Virtual FDP Report

Organized by: Department of Computer Science and Computer Applications In Association with: IQAC
Theme: Leveraging AI for Faculty Development and Educational Impact

The Department of Computer Science and Computer Applications, in collaboration with the Internal Quality Assurance Cell (IQAC), successfully organized a Five Days International Virtual Faculty Development Programme (FDP) on “Leveraging AI for Faculty Development and Educational Impact.” The event brought together distinguished international experts who shared valuable insights into emerging AI tools, methodologies, and applications shaping modern education and research.

Day 1: Foundation of AI Tools

The FDP commenced with an enlightening session by Prof. Mary Immaculate Sheela Lourdusamy, Head, Department of Computing and Engineering, School of Engineering Technology and Applied Science (SETAS), Heritage Christian University, Accra, Ghana.

She provided a comprehensive introduction to artificial intelligence, highlighting foundational tools, basic concepts, and practical applications essential for faculty members to integrate AI into teaching and academic research.

Day 2: NLP and Vision Tools in AI

The second day featured an in-depth session by Dr. Vallikannu Ramanathan, Assistant Professor, Department of Data Science and Information Technology, College of Banking and Financial Studies, Muscat, Oman.

She explored cutting-edge Natural Language Processing (NLP) and Computer Vision tools, emphasizing their real-world applications, latest advancements, and relevance in automating academic and industry-related tasks.

Day 3: Deep Learning with TensorFlow and Keras

The third day was handled by Dr. Selvanayaki Kolandapalayam Shanmugam, Associate Professor of Computer Science, Ashland University, USA.

The session delivered a strong foundation in deep learning, covering neural networks, model building, and hands-on implementation using TensorFlow and Keras. The resource person offered practical demonstrations and explained concepts in a highly accessible manner.

Day 4: AI on the Cloud

Day 4 featured an impactful session by Mr. Suda Ponniah, Director and Senior Consultant with over 25 years of global IT expertise.

His session focused on cloud-based AI services, deployment strategies, and the importance of scalable cloud infrastructures. He highlighted real-world scenarios where cloud technologies enhance AI-driven applications and academic research ecosystems.

Day 5: AI Integration & Deployment Platforms

The final day was led by Mr. Swisstac Bravin P, A results-driven Technical Project Manager with expertise in AWS Cloud infrastructure, AI/ML integrations, cybersecurity, IoT automation, and full-stack development.

He delivered an insightful session on integrating AI into real-world systems and deploying models using various platforms. He also demonstrated practical implementation workflows and automation strategies relevant to modern institutions and industries.

Conclusion

The five-day FDP was a remarkable success, enriching faculty members with essential knowledge and practical skills in emerging AI technologies. The sessions fostered academic growth, interdisciplinary learning, and global collaboration. Participants expressed great appreciation for the expertise shared by the international resource persons, making this event a significant milestone for the institution.