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 program 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.
Duration
Schedule
Location
SLQF Level
Medium
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.
Important date
02
2025Open Day-2025
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 program 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 program 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 program 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 program 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
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First Year
Fundamentals of computing, mathematics, data structure, algorithms, programming, technical writing and software engineering.
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Second Year
Databases, statistics, AI and machine learning, industry project.
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Third Year
Intelligent agents, machine learning, deep learning, bio-inspired computing.
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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 Program 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 Program.
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 Program 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 Program.
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
The fee is presently Rs 350,000(till year 2 Sem: 1), 360,000 (from year 2 sem: 2). Fees for any subsequent semester should be paid prior to the commencement of each semester. This all inclusive fee is charged to cover lectures, tutorials and examinations and access to computer laboratory facilities and library.
The fees should be credited to, Account No 1630552 of the Bank of Ceylon in favour of Sri Lanka Institute of Information Technology, at the Bank of Ceylon Kollupitiya Branch located at the first floor of the BoC Merchant Tower Building or at any branch of the Bank of Ceylon; or to Account No 00 399 0000033 of the Sampath Bank at any branch of Sampath Bank. Normally, fees paid will not be refunded. However, requests for refund of fees may be considered if made before expiry of one week from the date of commencement of lectures for each semester. The date of commencement of lectures for the new applicants will be the date of commencement of lectures of the Orientation Programme. The refund, if made will be subject to a deduction of ten percent of the fee paid
SLIIT’s Bachelor of Science (Honors) in Information Technology specializing in Artificial Intelligence, is a rigorous four-year program 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 program 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.