+94 11 754 4801
info@sliit.lk
BSc (Hons) in Information Technology Specialising in
Artificial Intelligence
With artificial intelligence transforming industries worldwide, the BSc. (Hons) in IT – Artificial Intelligence Specialisation at SLIIT is a transformative four year programme designed to cultivate the technical expertise, analytical thinking, and industry preparedness essential for success in AI driven careers. Grounded in a solid IT foundation, the curriculum transitions into AI and machine learning, supported by real-world applications, research opportunities, and professional engagement.
Awarding University
This recognized academic programme is awarded by SLIIT under the Faculty of Computing.
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..?
SLIIT’s BSc (Hons) in Information Technology Specialising in Artificial Intelligence is ideal for students aiming to thrive in the fast-evolving world of intelligent systems. As AI reshapes industries globally, this programme equips students with in-demand technical skills, problem-solving capabilities, and real-world exposure to advance their careers in AI-driven fields.
At SLIIT, students benefit from a comprehensive AI curriculum covering machine learning, deep learning, natural language processing (NLP), Edge AI, Responsible AI, and MLOps, ensuring a strong theoretical and practical foundation. The programme emphasizes hands-on learning through real-world software projects, collaborative development with leading tech companies, and research in emerging topics.
The curriculum is aligned with global computing trends and industry standards to ensure graduates are industry ready. Students undertake a six-month mandatory industry internship, attend sessions with visiting lecturers from the industry, participate in knowledge-sharing events, and pursue professional certifications. State-of-the-art labs provide access to high-performance computing resources, cloud computing platforms, and cutting-edge lab facilities with up-to-date software and equipment.
Graduates are prepared for diverse roles, including Machine Learning Engineer, Data Scientist, AI/ML Developer, AI Product Manager, NLP Specialist, Computer Vision Specialist, AI Solutions Architect, and Big Data Engineer. This specialization offers early career acceleration in AI, empowering students to thrive in intelligent automation and data-driven decision-making.
This programme covers various AI-focused topics, blending theoretical knowledge with practical applications. Students will:
Master Core IT Concepts – Foundations in programming and computing, data structures and algorithms, software development, and mathematics.
Master AI and Machine Learning Fundamentals – Learn machine learning, deep learning, reinforcement learning, edge AI, intelligent agents, bio-inspired computing and MLOps.
Develop Intelligent Systems – Learn to design and implement AI-powered applications, chatbots, and intelligent automation solutions.
Gain Expertise in NLP & Computer Vision – Work with speech recognition, language processing, and computer vision technologies.
Ethical AI and Responsible AI Practices – Understanding the impact of AI on society, data privacy, and ethical considerations in AI-driven decision-making.
The curriculum is designed to equip students with the necessary skills to innovate, solve complex problems, and lead in the field of AI.
Upon successful completion of the programme at SLIIT, graduates will have,
Develop Expertise in AI & ML – Gain hands-on experience in developing AI models, automation tools, and intelligent software solutions.
Master Modern computing Tools and Best Practices – Master industry-standard AI Frameworks such as TensorFlow, PyTorch, and cloud-based AI services.
Solve Real-World Problems – Apply AI-driven insights to business, healthcare, finance, robotics, and various industries.
Lead in AI Research & Innovation – Engage in cutting-edge AI research and contribute to advancing AI-driven solutions.
Industry-Ready Graduates – Secure job roles 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.
Programme Structure
-
First Year
Fundamentals of computing, mathematics, data structure, algorithms, programming, technical writing and software engineering.
-
Second Year
Databases, statistics, AI and machine learning, industry project.
-
Third Year
Intelligent agents, machine learning, deep learning, bio-inspired computing.
-
Fourth Year
MLOps, responsible AI, edge AI, big data and data analytics, natural language processing
| Semester 1 | ||
|---|---|---|
| Code | Module | Credit |
| IT1120 | Introduction to Programming | 4 |
| IE1030 | Data Communication Networks | 4 |
| IT1130 | Mathematics for Computing | 4 |
| IT1140 | Fundamentals of Computing | 4 |
| Semester 2 | ||
|---|---|---|
| Code | Module | Credit |
| IT1160 | Discrete Mathematics | 4 |
| IT1170 | Data Structures and Algorithms | 4 |
| SE1010 | Software Engineering | 4 |
| IT1150 | Technical Writing | 4 |
| Semester 1 | ||
|---|---|---|
| Code | Module | Credit |
| IT2120 | Probability and Statistics | 4 |
| SE2010 | Object Oriented Programming | 4 |
| IT2130 | Operating Systems & System Administration | 4 |
| IT2140 | Database Design and Development | 4 |
| Semester 2 | ||
|---|---|---|
| Code | Module | Credit |
| IT2011 | Artificial Intelligence & Machine Learning | 4 |
| IT2012 | AIML Project | 4 |
| SE2020 | Web and Mobile Technologies | 4 |
| IT2160 | Professional Skills | 4 |
| Semester 1 | ||
|---|---|---|
| Code | Module | Credit |
| SE3090 | Software Engineering Frameworks | 4 |
| IT3012 | Intelligent Agents | 4 |
| IT3091 | Machine Learning | 4 |
| IT3101 | Data Warehouse and Business Intelligence | 4 |
| Semester 2 | ||
|---|---|---|
| Code | Module | Credit |
| IT3190 | Industry Training | 4 |
| IT3160 | Research Methods | 4 |
| IT3111 | Deep Learning | 4 |
| IT3022 | Bio Inspired Computing | 4 |
| Semester 1 | ||
|---|---|---|
| Code | Module | Credit |
| IT4200 | Research Project - I | 4 |
| IT4012 | Current Trends in AI | 4 |
| IT4061 | Natural Language Processing | 4 |
| IT4022 | Edge AI | 4 |
| SE4070 | Secure Software Development | 4 |
| Semester 2 | ||
|---|---|---|
| Code | Module | Credit |
| IT4200 | Research Project - II | 8 |
| IT4032 | Responsible AI | 4 |
| IT4111 | MLOps for Data Analytics | 4 |
| SE4120 | Enterprise Application Development | 4 |
| SE4140 | Big data and Data Analytics | 4 |
More about the program
Local A/Ls : Minimum of 3 “S” passes in the Physical Sciences stream or Engineering Technology stream in one and the same sitting for A/Ls or an equivalent qualification. OR Minimum of 3 “S” passes in any stream (other than Physical Science/ Engineering Technology streams) in one and the same sitting at the GCE A/L Examination AND a “C” pass for O/L Mathematics AND completing the IT Bridging Programme conducted by SLIIT.
Applicants who have followed Information & Communication Technology as a main subject for A/Ls AND obtained a “C” pass for O/L Mathematics will be exempted from the IT Bridging Programme.
Cambridge/Edexcel A/Ls : Minimum of 3 “D” passes in subjects related to Mathematics in one and the same sitting for A/L’s. OR Minimum of 3 “D” passes in any other subjects (other than Mathematics related subjects) in one and the same sitting at the GCE A/L Examination AND a “C” pass for O/L Mathematics AND completing the IT Bridging Programme conducted by SLIIT.
Applicants who have followed Information Technology/Computer Science as a main subject for A/Ls AND obtained a "C" pass for O/L Mathematics will be exempted from the IT Bridging Programme.
To be eligible to follow Artificial Intelligence Specialization, students must meet the minimum GPA requirement specified by the faculty at the end of the 2nd Year 1st Semester. Applicants should also pass the Aptitude Test conducted by SLIIT.
- Machine Learning Engineer
- Data Scientist
- AI/ML Developer
- AI Product Manager
- Robotics Engineer
- Natural Language Processing (NLP) Engineer
- AI Ethics Specialist
- Computer Vision Engineer
- AI Solutions Architect
- Big Data Engineer
- AI Trainer
Fees per semester are LKR 350,000 for the first year, and the first semester of year 2. For each subsequent semester, the fee is LKR 360,000. The duration of this degree is 4 years. Each year consists of 2 semesters.
The course fee is all-inclusive, covering lectures, tutorials, examinations, and access to library and computer laboratory facilities.
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
SLIIT’s Bachelor of Science (Honors) in Information Technology specializing in Artificial Intelligence, is a rigorous four-year programme designed to equip students with in-depth expertise in areas such as machine learning, deep learning, natural language processing, computer vision, edge AI, MLOps, and responsible AI practices.
The curriculum seamlessly integrates classroom learning with hands-on experience through practical sessions, real-world projects, cloud and high-performance computing platforms, and a compulsory six-month industry internship, emphasizing analytical thinking, ethical problem-solving, and professional practices.
With a focus on cutting-edge research, sustainable AI innovation, and real-world problem-solving, the programme prepares graduates to excel in roles such as Machine Learning Engineer, AI Developer, NLP Specialist, Computer Vision Engineer, and AI Solutions Architect.
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.
Yes. The Program includes a mandatory six-month industry placement.