Data Science
Sabaragamuwa University of Sri Lanka
Sabaragamuwa University of Sri Lanka
Official websitePhoto: Rehman Abubakr / Wikimedia Commons · CC BY-SA 4.0
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Entry requirements
From the UGC Student Handbook 2025/2026
Data Science (Course Code - 136)
Proposed Intake: 65Minimum eligibility requirements for admission
At least a ‘C’ grade in Combined Mathematics or Physics or Higher Mathematics;
At least ‘S’ grades for two of the following subjects at the G.C.E. (Advanced Level) Examination;
- Combined Mathematics
- Physics
- Higher Mathematics
- Chemistry
- Information & Communication Technology
In addition to that, the candidates should have obtained at least a Credit Pass (C) in English at the G.C.E. (Ordinary Level) Examination.
- Degree Programme
- Bachelor of Science Honours in Data Science
[BScHons (Dat Sc)]
- Available University
- Sabaragamuwa University of Sri Lanaka
- Duration
- 04 years
- Medium
- English
Candidates are required to submit the duly certified copy of the original G.C.E. (Ordinary Level) Examination certificate confirming the above grade along with the application for university admission. Failure to submit it will result in rejection of the application for the course of study in Data Science.
Degree content
47 modules, as listed in the Faculty of Computing Student Handbook 2023/2024
Year 1 · Semester 110 modules
- DS 1101Introduction to Data Science
- DS 1102Introduction to Data Science
- DS 1103Compulsory
- DS 1104Introduction to Statistics
- DS 1105Database Management Systems
- DS 1106Computer System Organization
- DS 1107Data and Society
- DS 1108Introduction to Statistics
- DS 1109Database Management Systems
- DS 1110Computer System Organization
Year 2 · Semester 19 modules
- DS 2101Operating Systems
- DS 2102Operating Systems
- DS 2103Linear Algebra
- DS 2104Object Oriented Programming
- DS 2105Capstone Project in Data Science I
- DS 2106Analysis of Algorithms
- DS 2107System Analysis and Design
- DS 2108Object Oriented Programming
- DS 2109Capstone Project in Data Science I
Year 3 · Semester 17 modules
- DS 3101Probability Theory
- DS 3102Regression Analysis
- DS 3103Multivariate Calculus
- DS 3104Real World Analytics
- DS 3105Computer Networking
- DS 3106Multivariate Calculus
- DS 3107Web Programming II
Year 4 · Semester 110 modules
- DS 4101Advanced Database Management Systems
- DS 4102Scientific Writing and Documentation
- DS 4103Software Engineering
- DS 4104Scientific Writing & Documentation
- DS 4105Capstone Project in Data Science II
- DS 4106Software Engineering
- DS 4107Social and Professional Issues in Computing
- DS 4108Capstone Project in Data Science II
- DS 4109Discrete Mathematics
- DS 4110Artificial Intelligence
Year 5 · Semester 111 modules
- DS 5101Semantic Web
- DS 5102Time Series Analysis and Forecasting
- DS 5103Information Security
- DS 5104Time Series Analysis and Forecasting
- DS 5105Linear Programming
- DS 5106Information Security
- DS 5107Image Processing
- DS 5108Mobile Computing
- DS 5109Data Science for Bioinformatics
- DS 5110Human Resource Management
- DS 5111Parallel and Distributed Computing
Read from Faculty of Computing Student Handbook 2023/2024 on 2026-10-07. Universities revise their curricula from time to time - check the official page for the latest.