BSc (Hons) Artificial Intelligence

Key Facts

Awarded By

Duration

3 Years

Location

Colombo

Overview

Step into the exciting world of Artificial Intelligence and become a leader in this transformative field. Whether your passion is machine learning, data science, natural language processing, or computer vision, our BSc (Hons) Artificial Intelligence degree is designed to prepare you for a future at the forefront of AI innovation.

This program blends a strong theoretical foundation with hands-on learning and industry-relevant applications, empowering you to tackle real-world challenges with AI-driven solutions. Over three years, you’ll explore cutting-edge technologies, build essential skills, and specialize in the areas that align with your career ambitions.

Year 1: Building the Foundations of AI: Your first year introduces you to the core principles of Artificial Intelligence and related fields, giving you a strong foundation for success.

Year 2: Developing Advanced Skills: In your second year, you’ll deepen your expertise and tailor your learning to your interests and career goals.

Final Year: Specialization and Research: In your final year, you’ll focus on advanced topics and showcase your expertise through a dissertation project.

On successful completion of the BSc (Hons) in Artificial Intelligence, you’ll receive a globally recognized degree from Staffordshire University, ready to make a mark in one of the fastest growing and most impactful fields in technology.

Teaching & Learning

This degree program is designed to provide a dynamic learning experience through interactive lectures, practical tutorials, and hands-on workshops. You will engage with cutting-edge AI concepts through group discussions, video presentations, and activity-based learning, while tutorials and workshops focus on real-world applications to develop both technical and soft skills like teamwork and problem-solving.

Enrich your learning with field visits, guest lectures by industry experts, and exclusive access to the Experience Lab, where you can explore and apply AI innovations in a practical setting.

During your studies, you have access to many learning support platforms and e-resources. Additionally, in support of lifelong learning, we provide students the opportunity to use LinkedIn Learning for their continuous development and earn diverse certifications.

Modules

Year 1

Computer Architecture and Operating Systems Design

Fundamental structure and functionality of computer systems, including processors, memory, and storage.
Principles of operating system design, including process management, scheduling, and file systems.

Algorithms & Programming Concepts

Algorithm design, problem-solving strategies, and efficiency analysis.
Foundational programming concepts like data structures, recursion, and code optimization.

Networks & Communications

Fundamentals of computer networking, including protocols, topologies, and data transmission techniques.
Communication technologies, network security, and the principles of the Internet.

Applications of AI

Real-world applications of Artificial Intelligence across industries like healthcare, finance, and manufacturing.
Designing and implementing AI-driven solutions to solve practical problems.

Data and Distributed Systems

Database management systems and techniques for data storage, retrieval, and analysis.
The architecture and design of distributed systems and their applications.

Cloud & Cyber

Fundamentals of cloud computing, including deployment models, services, and virtualization.
Cybersecurity principles, focusing on securing cloud-based systems and networks.

Year 2

Professional Practice and Project Management

Project management techniques, including planning, risk management, and stakeholder communication.
Professional ethics, teamwork, and effective workplace practices.

Artificial Intelligence

Machine learning concepts and techniques, including supervised, unsupervised methods, reinforcement learning and evolutionary algorithms.
Performance evaluation and optimization through data dimensionality reduction, anomaly detection, prediction, classification, and regression to address real-world challenges effectively.

Data Structures and Algorithms

Explores essential data structures like arrays, linked lists, stacks, and trees, and their efficient implementation.
Algorithm design, optimization, and problem-solving techniques for computational tasks.

Data Analytics

Big Data Concepts and related technologies for storage, processing and visualization
Practical applications of Big Data in industries

Advanced Machine Learning

Foundations and Architectures of Neural Networks (CNNs, RNNs, LSTMs, GANs)
Transfer learning, optimization techniques and practical deep learning applications

Problem Solving using Object Oriented Programming

Problem-solving using principles of object-oriented programming, such as encapsulation, inheritance, and polymorphism.
Designing reusable and modular code for scalable software solutions.

Industry placement up to 1 year

Provides hands-on experience by working in an industry setting, applying academic knowledge to real-world challenges.
Enhances employability through the development of professional skills, networking, and practical problem-solving.

Year 3

Dissertation

Conducting an independent research project, demonstrating critical thinking and advanced problem-solving skills.
Applying theoretical knowledge to address a specific challenge or contribute to the field.

Negotiated studies

Allows students to design a personalized study module to explore topics of interest aligned with their career goals.
Encourages independent learning and research under faculty supervision, tailored to specific objectives.

Computer Vision

Image processing, object recognition, 3D-vision, face detection, and real-time embedded systems, including robotic vision and sensor/motor interfacing.
Graphical programming (LabVIEW), network protocols (TCP/UDP), and intellectual property considerations in computer vision.

Advanced Data Science

Data gathering, curation, quality assurance, statistical modelling, and machine learning, with practical tools and real-world business examples.
Advanced statistical analysis, visualization techniques, experiment design, and avoiding common pitfalls in data analytics.

Natural Language Processing

Text mining, data modelling, and applications like language models, translation, and parsing for text understanding.
Deep learning approaches, practical Python programming, and case studies to apply NLP techniques.

Admission Requirements

The minimum qualifications required for the direct admission to the Level 4 are:

GCE Advanced Level

Sri Lankan: 3 passes in either mathematics or bio-science streams

Cambridge or Edexcel: 3 D passes in mathematics, physics, or information technology related subjects as approved by the Head of School

and

GCE/GCSE Ordinary Level – Credit Passes (Grade 4) for English and Mathematics

Enrolment option for Level 4 Semester 2:

Students may enroll at the beginning of Level 4 (Semester 2), provided they meet the following performance criteria:

Achieving 70% or above marks in all three modules during the Level 4 (Semester 1) examination.

Career Opportunities

You will be well-prepared to begin your career in roles such as AI Engineer, Machine Learning Developer, Data Analyst, AI-Application Developer, or Software Engineer. These roles will allow you to apply AI techniques, develop intelligent systems, and solve real-world problems across various industries.

As you progress in your career, you can advance into positions such as AI Specialist, Data Scientist, Technical Lead, or AI Solutions Architect, where you will design and implement AI-driven technologies.

Special Remarks

Programme commencement is subject to management approval, for more Information please contact student admission counsellors.

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Campus

Areas of study

Important Links

APIIT Sri Lanka is a reputable higher education institution established in partnership with the University of Staffordshire in the UK. APIIT also has academic liaisons with prestigious universities from Australia, Malaysia and Thailand.