Bachelor of Engineering Technology (Artificial Intelligence)

The Bachelor of Engineering Technology (Artificial Intelligence) is a specialized undergraduate degree designed to prepare students for emerging roles in the rapidly expanding field of Artificial Intelligence and intelligent digital systems. The growing adoption of AI across government, industry, healthcare, agriculture, finance, education, manufacturing, and smart technologies has created a strong demand for skilled AI technologists who can design, develop, and deploy practical AI-based solutions. This program is developed to equip students with a strong combination of theoretical knowledge, hands-on technical skills, analytical thinking, and ethical understanding required to address modern technological challenges. Students in this program will develop competency in key areas such as programming for Artificial Intelligence, machine learning, deep learning, computer vision, natural language processing, big data analytics, data visualization, AI governance, and intelligent system development. The curriculum follows a project-based and practical learning approach, enabling students to solve real-world problems through AI models, data-driven applications, automation tools, and industry-relevant technologies. A distinctive feature of this program is the inclusion of two semesters of supervised industrial training, which provides students with direct exposure to professional environments and real-time AI applications. These internships help students understand industry needs, work on practical AI projects, and develop professional confidence before graduation. The curriculum is aligned with the requirements of the Fourth Industrial Revolution (4IR), where Artificial Intelligence, Big Data, IoT, automation, cloud computing, and cyber-physical systems are transforming modern industries. Emphasis is placed on cognitive, affective, and psychomotor learning domains to ensure the holistic development of students. As a result, graduates of this program will be prepared as industry-ready AI technologists, capable of developing responsible, ethical, and innovative AI solutions for society, industry, and national development.

PLO 1 – Engineering Technology Knowledge (SA1): An ability to apply knowledge of mathematics, natural science, Engineering Technology fundamentals, and Engineering Technology specialization to define and apply Engineering Technology procedures, processes, systems, or methodologies.

PLO 2 – Problem Analysis (SA2): An ability to identify, formulate, research literature, and analyze broadly defined Engineering Technology problems, reaching substantiated conclusions using analytical tools appropriate to the discipline or area of specialization.

PLO 3 – Design/Development of Solutions (SA3): An ability to design solutions for broadly defined Engineering Technology problems and contribute to the design of systems, components, or processes to meet specified needs with appropriate consideration for public health and safety, cultural, societal, and environmental considerations.

PLO 4 – Investigation (SA4): An ability to conduct investigations of broadly defined problems; locate, search, and select relevant data from codes, databases, and literature; design and conduct experiments to provide valid conclusions.

PLO 5 – Modern Tool Usage (SA5): An ability to select and apply appropriate techniques, resources, and modern technology and IT tools, including prediction and modelling, to broadly defined Engineering Technology problems, with an understanding of their limitations.

PLO 6 – The Engineering Technologist and Society (SA6): An ability to demonstrate understanding of societal, health, safety, legal, and cultural issues and the consequent responsibilities relevant to Engineering Technology practice and solutions to broadly defined Engineering Technology problems.

PLO 7 – Environment and Sustainability (SA7): An ability to understand and evaluate the sustainability and impact of Engineering Technology work in solving broadly defined Engineering Technology problems within societal and environmental contexts.

PLO 8 – Ethics (SA8): Understand and commit to professional ethics, responsibilities, and norms of Engineering Technology practice.

PLO 9 – Individual and Team Work (SA9): An ability to function effectively as an individual and as a member or leader in diverse teams.

PLO 10 – Communication (SA10): An ability to communicate effectively on broadly defined Engineering Technology activities with the Engineering Technologist community and society at large by comprehending and writing effective reports and design documentation, making effective presentations, and giving and receiving clear instructions.

PLO 11 – Project Management (SA11): An ability to demonstrate knowledge and understanding of Engineering Technology management principles and apply these to one's own work, as a member or leader in a team, and to manage projects in multidisciplinary environments.

PLO 12 – Lifelong Learning (SA12): An ability to recognize the need for and have the ability to engage in independent and lifelong learning in specialist Engineering Technologies.