infomatics institute of technology

Students build strength in mathematics, coding, data handling, and creative problem-solving, while gaining the academic discipline expected at university level. With guidance from experienced faculty, the programme bridges the gap between secondary education and higher education, ensuring readiness for advanced study in the digital age.

Upon completion, graduates progress to specialised degrees in Software Engineering, Computer Science, or Artificial Intelligence & Data Science, either in Sri Lanka or directly in the UK. More than just an entry route, this qualification acts as a launchpad into one of the world’s fastest-growing industries, equipping students to thrive in both local and international technology careers.

Next Intake

January, 2026
Intakes

January/May/September

infomatics institute of technology

Duration

1 Year
infomatics institute of technology

Entry Requirements

Minimum of 6 passes in GCE O/L (Sri Lanka) or London O/Ls (Cambridge/Edexcel) with at least 3 credits, including English and Mathematics.

AI & Data Science Requirement
To qualify for the BSc in AI & Data Science, students must score at least 50% in:

  • Mathematics for Computing
  • Mathematics for Data Science
  • Introduction to Programming
  • Computer Programming

Alternative Options
Students who do not meet the above marks can still progress into Computer Science or Software Engineering after completing the Foundation Certificate.

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Course Outline

The programme consists of core and progression modules:

Core Modules
  • Essential Communication Skills (English)*
  • Academic Skills in Higher Education
  • Mathematics for Computing
  • Digital Skills for Higher Education
  • Working with Data
  • Designing Innovative Solutions
  • Introduction to Programming
  • Computer Programming

Students scoring 50%+ on the English Placement Test may skip this module with credits awarded.

For Computer Science & Software Engineering: Digital Circuits and Logic Design

For AI & Data Science: Mathematics for Data Science

Academic Progression

Upon successful completion of the programme students may enter year 1 of the following degree programmes

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