Master of Science
Artificial Intelligence
The M.Sc. in Artificial Intelligence at SLIIT empowers graduates to lead AI innovation across diverse industries. The program blends academic rigor with real-world applications in machine learning, deep learning, robotics, and responsible AI. Designed with input from industry and academic experts, this degree develops both technical and ethical competencies, preparing students for high-demand careers or further global education.
Awarding University
This recognized academic programme is awarded by SLIIT under the Faculty of Graduate Studies.
Ensures globally accepted academic standards, preparing students with practical skills aligned to current industry needs and expectations.
Why & What..?
The SLIIT’s M.Sc. in Artificial Intelligence is designed to prepare the next generation of AI leaders. As industries continue to integrate AI into operations—from healthcare and finance to cloud computing and robotics—this program stands out by offering both technical mastery and real-world application. Developed in collaboration with industry experts and academic leaders, the curriculum offers advanced training in areas such as machine learning, deep learning, generative AI, natural language processing, computer vision, and responsible AI.
Students benefit from state-of-the-art learning environments and hands-on exposure to the latest AI technologies and tools. The program fosters critical thinking, innovation, and ethical awareness—skills essential for navigating today’s complex AI landscape. With a strong emphasis on research, students also complete a comprehensive research project, contributing to the field’s ongoing evolution.
Graduates are well-equipped for high-demand roles such as AI Engineer, Data Scientist, Robotics Engineer, and AI Consultant. Additionally, the M.Sc. paves the way for further doctoral studies or global career opportunities. Whether you're aiming to advance in your current role or pivot into the world of AI, this program provides the skills, knowledge, and network to help you succeed.
Throughout the M.Sc. in Artificial Intelligence program at SLIIT, students engage in a dynamic and interdisciplinary curriculum spanning four semesters. The first year focuses on foundational knowledge including mathematics for AI, programming, agent-based systems, and core AI principles. Key modules such as machine learning, deep learning, and natural language processing provide the technical base necessary for advanced AI applications.
In the second semester, students dive deeper into optimization methods, neuroscience, and research methodologies—building both computational and scientific research skills. Year 2 is heavily focused on practical and research components, with students undertaking a significant research project across two semesters. This allows for exploration of real-world challenges and contributes meaningful insights to the field.
Additionally, students explore computer vision, robotics, and responsible AI, gaining the ability to develop and evaluate intelligent systems. Electives such as advanced machine learning, cloud computing, and big data management provide flexibility to tailor the program to specific interests or career goals.
The combination of compulsory and elective modules ensures students acquire both breadth and depth in AI, preparing them for diverse opportunities in industry or academia. The program culminates with insights into modern trends and industry practices, ensuring graduates stay ahead of the curve in this fast-evolving domain.
Upon successful completion of the program at SLIIT, graduates will have,
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In-depth knowledge of AI concepts, tools, and technologies
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Expertise in machine learning, deep learning, and robotics
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Skills in ethical AI development and deployment
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Research experience in solving real-world AI challenges
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Readiness for careers in AI, data science, or further study
Programme Structure
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First Year
Core modules in mathematics, machine learning, programming, agent-based systems, deep learning, NLP, optimization, neuroscience, and research methods. -
Second Year
Research project, computer vision, robotics, responsible AI, modern trends, and electives in areas like advanced ML, cloud computing, or big data.
| Semester 1 | ||
|---|---|---|
| Code | Module | Credit |
| IT5012 | Mathematics for Artificial Intelligence | 3 |
| IT5022 | Fundamentals of Machine Learning | 4 |
| IT5032 | Agent-Based Systems | 3 |
| IT5042 | Programming for Artificial Intelligence | 3 |
| IT5052 | Fundamentals of Artificial Intelligence | 3 |
| Semester 2 | ||
|---|---|---|
| Code | Module | Credit |
| IT5062 | Deep Learning | 4 |
| IT5090 | Research Methods | 3 |
| IT5072 | Natural Language Processing | 3 |
| IT5082 | Optimization Methods | 3 |
| IT5092 | Neuroscience & Neurocomputing | 3 |
| Semester 1 | ||
|---|---|---|
| Code | Module | Credit |
| IT6010 | Research Project | 6 |
| IT6012 | Computer Vision | 4 |
| IT6022 | Robotics | 3 |
| Elective(2) | ||
| IT6052 | Visual Analytics & User Experience | 3 |
| IT6062 | Advanced Machine Learning | 3 |
| Semester 2 | ||
|---|---|---|
| Code | Module | Credit |
| IT6010 | Research Project | 9 |
| IT6032 | Responsible AI | 2 |
| IT6042 | Modern Trends & Industry Practices | 2 |
| IT6072 | Big Data Management | 3 |
| IT6082 | Cloud Computing | 3 |
More about the program
Master of Science in Artificial Intelligence with a minimum of 60 Credits (SLQF Level 10), adhere to the minimum
(i) A Bachelor of Science Degree in Computer Science, Computer Engineering or Data Science from a University or institute recognized by the University Grants Commission or Ministry in charge of the subject of Higher Education.
Or
(ii) A Bachelor’s Degree in a relevant field from a University or institute recognized by the University Grants Commission or Ministry in charge of the subject of Higher Education with one year experience in a related field.
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Total Payment : Rs. 600,000
Application processing fees Rs. 2,000/= has to be paid in the beginning of the registrations for Master of Science Degrees at SLIIT. Fees can be paid to the bank accounts of SLIIT at any branch.
All inclusive fee to cover lectures, tutorials, examinations, access to computer laboratory facilities and the library and is payable prior to the commencement of the programme.
The fee should be credited to Account No 1630552 of the Bank of Ceylon in favor of Sri Lanka Institute of Information Technology, at the bank of Ceylon Colpetty branch located at first floor of BOC Merchant Tower building or at any branch of BOC. Or Sampath bank account number 003990000033 of the Sampath bank at any branch of Sampath bank. Course fees are subjected to change.
As AI continues to transform industries from healthcare and finance to robotics and cloud computing, being professionally qualified in this field is more vital than ever. The MSc in Artificial Intelligence at SLIIT is uniquely designed to equip graduates with cutting-edge expertise in machine learning, deep learning, generative AI, robotics, and responsible AI.
What sets this program apart is its blend of academic rigor, practical application, and strong industry alignment, shaped by leading academics and industry experts. Graduates gain not only technical skills but also the critical thinking and ethical awareness required to lead in AI innovation.
Completion of this degree opens doors to high-demand roles such as AI Engineer, Data Scientist, Robotics Engineer, and AI Consultant, and also paves the way for global higher education. Join us to be part of the next wave of AI professionals leading the digital future.