infomatics institute of technology

“Become a part of a data-driven Society”

The comprehensive curriculum of this course emphasizes an appropriate understanding and application of integral AI and Data Science concepts, and their application to solve real-world problems. In addition one year of industrial placement to complement the curriculum through practical exposure. Upon successful completion of this course, graduates should be able to efficiently function in diverse fields accompanied by AI and Data Science.

infomatics institute of technology

Awarding University & Course Recognition

infomatics institute of technology

Awarded by the Robert Gordon University, UK

infomatics institute of technology

Recognized by the University Grants Commission of Sri Lanka

Next Intake

September, 2025
Intakes

January/September

infomatics institute of technology

Duration

4 Years

(Full Time)

infomatics institute of technology

Associated Careers

The associated career opportunities will be across a broad range of sectors and an array of specialist positions including the following:

  • Data/Enterprise Architect
  • Data Scientists
  • Application Architect
  • Machine Learning
  • Scientist/Engineer
  • Data Analyst
  • Data Science
  • Analyst/Special
  • Data Science Consultant
  • Business Intelligence Engineer
  • Software Engineer
  • Big Data Engineer/Application Developer

Course Outline

The BSc (Hons) Artificial Intelligence and Data Science course is awarded by Robert Gordon University (RGU) in the UK in collaboration with the Informatics Institute of Technology (IIT) in Sri Lanka. This course is designed to address the shortage of the rising demand for a workforce with skills in artificial intelligence and data science (AI and DS), as well as to provide the opportunity for students aspiring to a career in AI and DS. Students will be able to gain a practical understanding of contemporary AI and DS trends and technologies in developing cutting-edge solutions. Specifically, the course adopts a general to specific organization of modules; whereby initially a range of modules organized under key streams, Systems, Mathematics, Programming and AI and DS, is gradually specialized into AI and DS modules, as students progress through Stages 1 to 4. This will include modules such as Programming, Database, Web, IoT, Algorithms, Deep Learning, Machine Learning, Machine Vision, Mathematics and Statistics; where students are exposed to both theoretical principles and state-of-the-art technological advances. This will enable students to unlock the power of automation, analytics and AI, paving the way for innovation while following the course and after graduation.

Core Modules
  • Programming Fundamentals
  • Computational Mathematics
  • Database Systems
  • Computer Systems Fundamentals
  • English Communication Skills
  • Data Structures And Algorithms For Artificial Intelligence
  • Web Technology
Core Modules
  • Object Oriented Development
  • Machine Learning
  • Advanced Mathematics for Data Science
  • Data Science Group Project
  • Artificial Intelligence
  • Simulation and Modelling Techniques
  • Data Engineering
Core Modules
  • Deep Learning

Optional Modules
  • Internet of Things and Wearables
  • Edge Artificial Intelligence
Students gain practical experience through a compulsory one-year industrial placement, providing them with valuable real-world skills that enhance their employability. This hands-on experience is a key component of the program, bridging the gap between academic learning and professional practice. Upon completing the three-year program, students have the option to exit with a Bachelor of Science (BSc) in Artificial Intelligence and Data Science, well-prepared for careers in the rapidly evolving tech industry. ‘During their industrial placement, students are required to complete "Deep Learning," a core module offered in the first semester.Additionally, students must select one elective from the options.
Core Modules
  • Research Trends
  • Computational Intelligence
  • Individual Research Project

Optional Modules
  • Natural Language Processing
  • Machine Vision

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