Department of Computer and Data Science

The Department of Computer and Data Science (CDS) was established under the Faculty of Computing on the day of 15th December 2020. The department is focused to be the leader in the discipline of Data Science in Sri Lanka which include knowledge contribution from the key areas of Artificial Intelligence, Machine Learning, Deep Learning, Natural Language processing, Data Mining, Statistical Modeling, Simulation, Optimization and Visualization. CDS is preparing to conduct seminars, workshops, and an annual conference in Data Science as its future activities. The department is aiming to disseminate knowledge and spread the global opportunities and business transformation trends with this highly sort after discipline of data science.


Department Head's Message

Mr. Naji Saravanabavan

Greetings from the Department of Data Science and Computers. In almost every industry, business function, and IT discipline, data and analytics are becoming more and more important components. It is more powerful than ever and is now the main force behind information goods and corporate strategy. It is a component of all organizational activities. Data and analytics leaders are needed as firms move towards being data-driven. Globally, there is a clear deficiency of data science experts, despite an increasing need for these specialists. Your ambition of starting a career in the lucrative and in-demand field of data science can come true with the help of an NSBM degree.

Mr. Naji Saravanabavan
HOD / Senior Lecturer 

Academic Staff

Student Life

Being a student at Department of Computer and Data Science you will enjoy by engaging with interdisciplinary, real world enigmas and gain extensive experience. Life of a Data Science undergrad is really fun filling since they are engaged in understanding the world and discover new things.

Department Head
Mr. Naji Saravanabavan

New Enrollments
Tell: +94 (11) 544 5000
WhatsApp: +94 71 244 5000

Department Secretary
Ms.Gayathmi Kariyapperuma
011 544 6004 (Ext: 1204)