About the Department
The M.Sc. Computer Science degree programme was started in 2006 with the objective of imparting technical skills in the field of programming, software development, and research. The M.Sc. Software Systems, a five-year integrated postgraduate programme, was introduced in 2007 to admit the first batch of students and to meet the growing demand for developing solutions in global IT environments. The department has marked 18 years of excellence in the field of higher education.
Established
Student Intake
Faculty Strength
M.Sc. Software Systems
The M.Sc. Software Systems programme aims to develop proficient software professionals with a strong foundation in theory and advanced practical expertise. The curriculum is periodically updated to keep pace with emerging technologies and industry demands. Emphasizing outcome-based education, the programme integrates academic rigor with real-world relevance. Students acquire hands-on experience in designing, developing, and deploying scalable software solutions through laboratory sessions, live projects, internships, and workshops,. The programme aspires to be a center of excellence in Software Systems education and research, nurturing globally competent professionals with strong technical skills, innovative thinking, ethical values, and leadership qualities to effectively address real-world challenges and contribute to societal and industrial growth.
M.Sc. Computer Science
The M.Sc. Computer Science programme is dedicated to delivering advanced knowledge and technical proficiency in the ever-evolving domain of computing. It is thoughtfully designed to provide a strong foundation in core subjects while also covering emerging areas such as Advanced Programming, Artificial Intelligence and Machine Learning, Network Security, Cybersecurity, and Cloud Computing. The programme follows an outcome-based learning approach that effectively integrates theoretical concepts with extensive laboratory work, research activities, Projects, internships, and industry interaction. This approach helps students develop strong analytical abilities, problem-solving skills, and the competence to design innovative solutions for real-world computing challenges. The programme envisions becoming a center of excellence in Computer Science education and research, producing globally competent professionals equipped with strong technical expertise, creative thinking, ethical values, and leadership qualities to address emerging technological challenges and contribute to societal progress.
Dr. R.Sarala
Head, Department of Software Systems
Overall activities of the Department, Cyber Cell Co-convenor
Dr. R Sarala brings 14 years of distinguished experience in teaching, research, and academic administration.She has presented research papers at various national and international conferences. Published research articles in various scopus indexed journals and web of science journals.
To generate competent professionals to become part of the industry and research organizations at the national and international levels.
Providing a strong theoretical and practical background across the computer science discipline with an emphasis on software development. Imparting the skills necessary to continue education to grow professionally. Empowering the youth in rural communities with computer education. Inculcating professional behavior, strong ethical values, innovative research capabilities and leadership abilities.
The Department offers a postgraduate Science programme designed to build professional competence in Software, equipping students with the knowledge and skills required to perform effectively in Information Technology and Data Scientist roles.
From raw data to real insight. Engineer the future of information.
Industry Academia Domain: Data Science & Engineering Lab
About the Industry Partner — KGM
KGM is a specialised industry training organisation with expertise in software development and data-focused education. Their data engineering trainers bring active field experience in pipeline design, Hadoop/Spark ecosystems, ETL workflows, and cloud data infrastructure — delivering this directly into the M.Sc. Software Systems lab at KGCAS across four active semesters, followed by internship facilitation and placement support.
About the Data Science & Engineering Lab
A postgraduate-level, industry-integrated lab at KGCAS, exclusively for M.Sc. Software Systems students, run entirely by KGM industry professionals. Students progress through Python, SQL, big data technologies, data warehousing, and ETL pipeline engineering — completing a production-grade capstone project, an industry internship, and receiving dedicated placement support via KGM's employer network.
The Faculty and Research division of the Department brings together experienced academicians and dedicated researchers committed to academic excellence and continuous knowledge advancement. Through research activities, publications, and academic collaborations, the department actively promotes a culture of inquiry, critical thinking, and professional growth.
Dr.R.Sarala
Assistant Professor and Head
Dr.P.Kalaikannan
Assistant Professor
Dr.M.Kavitha
Assistant Professor
Dr.A.Arul Selvan
Assistant Professor
Dr.S.Kanagalakshmi
Assistant Professor
Dr.V.V.Gomathi
Assistant Professor
Dr.N.Sriram
Assistant Professor
Dr.C.Dhanusha
Assistant Professor
Recent research publications from the faculty at theDepartment into Software Systems.
The Department boasts dedicated infrastructure designed to support both theoretical and hands-on practical learning.
| S.No. | Specification | Details |
|---|---|---|
| 1 | Model | HP Pro Tower 280 G9 |
| 2 | Processor (CPU) | Intel Core i5 – 12500 (6 Cores, up to 3.0 GHz) |
| 3 | Chip-Set | H670 |
| 4 | Memory (RAM) | 8 GB DDR4 |
| 5 | Storage | 512 GB NVMe M.2 SSD |
| 6 | Operating System | Windows 11 Pro |
| 7 | Monitor | 18” LED Display |
C Programming Lab
Python and Big Data Fundamentals Lab
C++ Programming Lab
Big Data Analytics Lab
Java Programming Lab
Data Structures Lab
Relational Database Management Systems Lab
Visual Programming Lab
Arduino Programming Essentials Lab
Python Programming Lab
Web Designing Lab
Data Mining Lab
PHP Programming Lab
Advanced Java Programming Lab
Software Testing Lab
Cloud Computing Lab
Artificial Intelligence and Machine Learning Lab
