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Master of Science
Artificial Intelligence
The MSc. in Artificial Intelligence at SLIIT empowers graduates to lead AI innovation across diverse industries. The programme 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.
Accreditation
Approved by MOE | UGC
Approved by the Ministry of Education, Sri Lanka, and the University Grants Commission.
Member of ACU
Member of the Association of Commonwealth Universities (ACU)
Member of IAU
Member of the International Association of Universities (IAU)
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 programme 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 programme 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 programme 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.
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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 |
| Elective(2) | ||
| IT6072 | Big Data Management | 3 |
| IT6082 | Cloud Computing | 3 |
More about the program
Candidates applying for this programme shall have one of the following qualifications:
- A Bachelor of Science honours degree (4 years) in Computer Science/ Computer Engineering/ Data Science/ Artificial Intelligence by a recognised institution;
- A Bachelor of Science degree (3 years) in Computing / Engineering/ Physical Science/ Technology with a minimum of one year of post-qualifying professional experience in a relevant field, as acceptable to the Institute;
- A Bachelor’s honours degree (4 years) covering an adequate number of modules related to computing, along with a minimum of one year of post-qualifying professional experience in a relevant field, as acceptable to the Institute;
- A recognised qualification equivalent to an honours degree (4 years) and/or membership obtained through an academic route from a professional body in computing, with a minimum of two years of professional experience in a relevant field, as acceptable to the Institute.
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The full fee of this 2-year course is LKR 600,000. An application processing fee of LKR 2,000 will be charged at registration. The course fee is all-inclusive, covering lectures, tutorials, examinations, and access to library and computer laboratory facilities.
Installments:
- 01st Installment: LKR 200,000
- 02nd Installment: LKR 200,000
- 03rd Installment: LKR 200,000
Course fees are subject to change.
Fees can be paid to the bank accounts of SLIIT at any branch. For further details on payment options and bank information, please visit:
https://www.sliit.lk/study/fees-and-scholarships/fees-and-costs?#payment-to-sliit
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 programme 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.
FAQs
Students with an interest in AI, machine learning, and data-driven technologies, and those looking to build a career in AI development and innovation.
Graduates can work as Machine Learning Engineer, Data Scientist, AI/ML Developer, AI Product Manager, Natural Language Processing (NLP) Specialist, Computer Vision Specialist, AI Solutions Architect, Big Data Engineer.
Students will gain hands-on experience in Python, R, Java, and AI-specific frameworks like TensorFlow and PyTorch.