Bachelor of Engineering Technology (Artificial Intelligence)

Bachelor of Engineering Technology (Artificial Intelligence) is a comprehensive four-year degree program designed to prepare graduates with practical knowledge and skills in Artificial Intelligence (AI), intelligent computing, and emerging digital technologies. The curriculum integrates core engineering technology principles with advanced AI concepts, including programming, machine learning, deep learning, data science, computer vision, natural language processing, robotics, cloud computing, and intelligent automation. Through extensive laboratory work, industry-oriented projects, and hands-on practical training, students develop the ability to design, implement, test, and deploy AI-enabled systems to solve real-world engineering technology and societal challenges. Graduates are equipped to support multidisciplinary engineering technology teams, develop intelligent solutions, and contribute to innovation across diverse industrial and commercial sectors.                    Career opportunities include positions such as Artificial Intelligence Technologist, Machine Learning Technologist, Data Analytics Technologist, Computer Vision Technologist, Intelligent Systems Technologist, AI Application Developer, Robotics Technologist, and Automation Technologist. Graduates may find employment in software development companies, information technology firms, manufacturing industries, healthcare organizations, financial institutions, smart city initiatives, research and development organizations, engineering technology consultancies, and government or private sector enterprises adopting AI-driven solutions. 

Program Educational Objectives (PEOs)

PEO-1: Exhibit proficiency in the professional practice of Computer Engineering Technology with a focus on Artificial Intelligence applications. 

PEO-2: Address the technological needs of society through Artificial Intelligence-driven solutions while adhering to ethical, moral, and socially responsible practices.

PEO-3: Demonstrate the ability to function and communicate effectively as an individual or team member, while exhibiting leadership, management, and entrepreneurial potential.

PEO-4: Engage in lifelong learning to continuously enhance personal and professional competencies in Artificial Intelligence and emerging technologies.

Program Learning Outcomes (PLOs)

PLO-01 Engineering Technology Knowledge: An ability to apply knowledge of mathematics, natural science, Engineering Technology fundamentals and Engineering Technology specialization to defined and applied Engineering Technology procedures, processes, systems or methodologies.

PLO-02 Problem Analysis: An ability to identify, formulate, research literature and analyse broadly-defined Engineering Technology problems reaching substantiated conclusions using analytical tools appropriate to the discipline or area of specialization.

PLO-03 Design/Development of Solution: 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-04 Investigation: An ability to conduct investigations of broadly-defined problems; locate, search and select relevant data from codes, data bases and literature, design and conduct experiments to provide valid conclusions.

PLO-05 Modern Tool Usage: An ability to select and apply appropriate techniques, resources, and modern technology and IT tools, including prediction and modeling, to broadly-defined Engineering Technology problems, with an understanding of the limitations.

PLO-06 The Engineering Technologist and Society: An ability to demonstrate understanding of the 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-07 Environment and Sustainability: An ability to understand and evaluate the sustainability and impact of Engineering Technology work in the solution of broadly-defined Engineering Technology problems in societal and environmental contexts.

PLO-08 Ethics: Understand and commit to professional ethics and responsibilities and norms of Engineering Technology practice.

PLO-09 Individual and Team Work: An ability to function effectively as an individual, and as a member or leader in diverse teams.

PLO-10 Communication: An ability to communicate effectively on broadly-defined Engineering Technology activities with the Engineering Technologist community and with society at large, by being able to comprehend and write effective reports and design documentation, make effective presentations, and give and receive clear instructions.

PLO-11 Project Management: 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 Life-Long Learning: An ability to recognize the need for, and have the ability to engage in independent and life-long learning in specialist Engineering Technologies.