infomatics institute of technology

Engineer Intelligent Systems. Build the Future with AI & Data.

The BEng (Hons) Artificial Intelligence and Data Engineering programme prepares students to design, develop, deploy, and manage intelligent systems and scalable data infrastructures for modern industries.

Students gain hands-on experience in machine learning, data engineering, cloud computing, distributed systems, and MLOps, enabling them to build real-world AI applications. Through industry-focused projects, practical coursework, and research-driven learning, students develop strong technical expertise and problem-solving capabilities.

The programme provides a solid foundation in programming, computational mathematics, data structures, algorithms, and computer systems while covering advanced topics such as deep learning, machine vision, intelligent systems, edge AI, and data engineering.

Graduates are equipped with the technical and professional skills required to pursue careers in artificial intelligence, machine learning, data engineering, intelligent systems development, and emerging AI-driven industries.

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 Commision in Sri Lanka (UGC)

Next Intake

September, 2026
Intakes

January/September

infomatics institute of technology

Duration

4 Years

(Full Time)

infomatics institute of technology

Entry Requirements

O/L Requirements

  • Local O/L: Minimum 6 passes including 3 credits with Mathematics and English.
  • Cambridge/Edexcel O/L: Minimum 5 passes including 3 credits with Mathematics and English.

Applicants must also achieve the required A/L entry points and pass the AI & Data Engineering entrance examination.

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Associated Careers

  • Data Engineer
  • Machine Learning Engineer
  • AI Engineer
  • Software Engineer (AI-focused)
  • Cloud / Platform Engineer (Data & AI Systems)
  • MLOps Engineer
  • AI Systems Developer
  • Edge AI / IoT Engineer

Course Outline

The BEng (Hons) Artificial Intelligence and Data Engineering programme is designed to develop industry-ready AI engineers equipped to meet the growing global demand for intelligent systems and data-driven technologies.

The programme combines strong foundations in computing, mathematics, and engineering with practical experience in developing end-to-end AI solutions. Students gain hands-on experience in machine learning, data engineering, cloud computing, distributed systems, and MLOps, enabling them to design, deploy, and manage scalable AI applications in real-world environments.

Through industry-focused projects, applied coursework, independent research, and industrial training, students develop strong technical expertise and professional problem-solving skills. The programme prepares graduates to design, implement, and manage intelligent systems and data infrastructures that are scalable, reliable, and ethically responsible.

Graduates are well-prepared for careers in Artificial Intelligence, Data Engineering, Machine Learning, Intelligent Systems Development, and other emerging technology-driven industries.

Core Modules
  • Database Systems Design and Implementation
  • Computational Mathematics (Year-long)
  • Programming Fundamentals (Year-long)
  • Computer Systems Fundamentals
  • English Communication Skills
  • Web Technology
Year 01 establishes a strong foundation in computing, mathematics, communication, and programming principles required for Artificial Intelligence and Data Engineering.
Core Modules
  • Machine Learning
  • Object-Oriented Development
  • Artificial Intelligence
  • Data Structures & Algorithms for AI
  • Advanced Mathematics
  • Data Engineering
  • AI Systems Integration and Deployment
  • Simulation and Modeling Techniques
Optional Modules
  • Agentic AI
Year 02 focuses on Artificial Intelligence foundations, data engineering, intelligent systems, and advanced computational techniques, preparing students for real-world AI applications.
Core Modules
  • Industrial Training (Year-long)
  • Data Engineering Group Project (Year-long)
  • Natural Language Processing
  • Computational Intelligence
  • Deep Learning
Optional Modules
  • Machine Vision
  • Edge AI
  • AI Robotics
  • IoT and Wearables
Year 03 emphasizes practical implementation, industrial exposure, advanced AI specialization, and collaborative project development.
Core Modules
  • Individual Research Project (Year-long)
  • AI Entrepreneurship
  • Research Trends (Year-long)
Year 04 focuses on research, innovation, entrepreneurship, and independent problem solving through advanced AI and Data Engineering projects.

Learning Outcomes

Learning Outcomes

Skills You Will Build

Strong programming and computational mathematics foundation
Machine learning and deep learning expertise
Data engineering and distributed systems knowledge
AI deployment and MLOps capability
Ethical and scalable AI system design

To Whom?

To Whom

Designed for Future AI & Data Innovators

This programme is ideal for students passionate about Artificial Intelligence,
machine learning, software development, data engineering, cloud technologies,
and intelligent systems.

AI Enthusiasts
Data Thinkers
Problem Solvers
Future Engineers

Method Of Delivery

Method of Delivery

Practical, Blended & Project-Based Learning

The programme is delivered through lectures, laboratory sessions, workshops,
practical assignments, industry-focused projects, and independent research.

Lectures
Labs
Projects
Research

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