Data Science (DS) is an interdisciplinary programme where it requires a variety of skills in the fields of Computer Science, statistics, and mathematics. This degree is focusing on applying the concepts required from each of these fields in the context of data. Data Science specialization aims at teaching individuals about data science principles and how to apply them to real world problems. This curriculum also pays significant attention to data analytics, statistical methods, mathematics, and Computer Science fundamentals.
Students who follow this degree programme will learn how to interact with data at all stages of an investigation and will be able to work within a team environment. Key competencies of such students are; Computational and statistical thinking, Mathematical foundations, Model building and assessment, algorithms and software foundation, data curation, and knowledge transference – communication and responsibility.
Data Science graduates have a variety of career opportunities, both nationally and internationally and upon completion of the degree, they will be qualified to work in Data Science roles that range from general to specialized. Possible career opportunities include but not limited to Data Scientist, Data Analyst, Data Science Consultant, Big Data Engineer, and Machine learning engineer. The depth and breadth of knowledge in this area of study are increasingly attractive to employers and would lead to careers not only as Data Scientist professionals but also in wider areas of the ICT industry.
Facilities
This department is located within the Faculty of Computer Science and Engineering where students will have access to:
· State-of-the-art computer laboratories equipped with the latest hardware and software
· a dedicated Networking and Cybersecurity lab for practical training
· smart classrooms and seminar rooms with modern teaching technologies
· the University Library and the departmental resource center with access to digital databases
· collaborative project spaces, research facilities and incubation area for innovation and final-year projects
Course Costs
LKR 2,175,000/- + Registration fee (LKR 25,000/-)
Teaching
Teaching is provided through lectures, practical, tutorials, seminars and small-group supervisions.
Assessment
Students will be assessed through written exams, practical tests and continuous assessments.
· At least three (3) simple passes (S) in Physical Sciences stream or Engineering Technology stream in one and the same sitting at the G.C.E (Advanced Level) Examination conducted by the Department of Examinations of Sri Lanka or equivalent qualification. Or
· At least three (3) simple passes (S) in any stream in one and the same sitting at the G.C.E (Advanced Level) Examination conducted by the Department of Examinations of Sri Lanka or equivalent qualification with a Credit pass (C) in Mathematics at the G.C.E (Ordinary Level) Examination conducted by the Department of Examination of Sri Lanka or equivalent qualification with a bridging programme approved by the Specified Authority. Or
· At least three (3) simple passes (S) in any stream in one and the same sitting with a simple pass (S) for Information & Communication Technology, in any attempt at the G.C.E. (Advanced Level) Examination conducted by the Department of Examinations of Sri Lanka or equivalent qualification and a Credit pass(C) in Mathematics at the G.C.E. (Ordinary Level) Examination conducted by the Department of Examinations of Sri Lanka or equivalent qualification.
This challenging and highly demanding degree will enhance student’s ability to think analytically and solve complex problems using data. Some transferable skills you’ll develop on the course include:
· critical thinking and evaluation
· Statistical analysis and data interpretation
· communicating effectively and presenting findings clearly
· organization and time management
· working creatively and effectively with others
· research and independent problem-solving skills
The course equips students for a wide range of careers where analytical, computational, and data-driven skills are highly valued.
Some of our graduates take advantage of the specialist opportunities open to them. They secure employments in areas such as:
· data analysis and business intelligence
· Machine Learning and artificial intelligence research
· big data engineering and cloud-based analytics
· research and teaching in universities (following further study)
Other graduates choose careers in areas such as :
· finance, banking, and insurance
· government and civil service roles in data policy and analytics
· healthcare and biomedical data analysis
· industry and business decision support
· software and technology development
· consulting and project management
