BSc Hons in Artificial Intelligence
Sri Lanka's first honours degree in Artificial Intelligence
Overview
The BSc Hons in Artificial Intelligence, introduced with the 2021/2022 intake, is Sri Lanka's first Bachelor of Science Honours Degree in Artificial Intelligence, offered by the Department of Computational Mathematics alongside the country's first postgraduate AI programme, introduced in 2007. The degree builds on the Department's strong foundation in mathematics, statistics and computational principles that underpin modern AI systems.
The curriculum spans machine learning, deep learning, cognitive systems, multi-agent systems, data analytics and the theory of computing, preparing students to design, train and deploy intelligent systems responsibly. Teaching combines rigorous mathematical grounding with hands-on project work, and academic staff are actively engaged in AI research and innovation in collaboration with industry, government and international research communities.
Graduates leave equipped with the analytical capability, creativity and ethical awareness to develop innovative AI solutions for real-world challenges across healthcare, environment, industry and finance, and to pursue further study or careers in one of the fastest-growing fields in technology.
PROGRAMME AT A GLANCE
Graduate Profile
AI Engineering
Design, train and deploy machine learning and deep learning models using sound engineering practice.
Mathematical Foundation
Apply rigorous mathematical, statistical and computational modelling to real AI problems.
Responsible Innovation
Develop AI solutions with ethical awareness, accounting for fairness, bias and societal impact.
Research & Innovation
Contribute to advancing AI, data science and intelligent systems through applied research and industry collaboration.
Programme Milestones
The Department introduces the Master of Science in Artificial Intelligence, the first postgraduate programme in AI in Sri Lanka.
The Department introduces the BSc Hons in Artificial Intelligence, the country's first undergraduate AI honours degree.
Research & Specialisation Areas
Programme Learning Outcomes
Design and train machine learning and deep learning models suited to a given problem domain.
Apply mathematical, statistical and computational modelling techniques to intelligent systems and data analytics problems.
Evaluate multi-agent systems, cognitive systems and ontological modelling approaches for a given AI application.
Apply research methods to investigate a substantial AI problem and communicate findings to technical and non-technical audiences.
Deploy AI systems with ethical awareness, accounting for fairness, bias and societal impact.