The Bachelor of Engineering Technology in Artificial Intelligence is a practical, application-driven degree focused on the deployment and maintenance of AI systems. It covers robotics, machine learning, IoT, and AI integration in real-world industries.
Duration: 4 year (8 Semesters)
Foundational Knowledge
Equip students with foundational expertise in artificial intelligence, robotics, programming, and computational theory within an engineering context.
Technical Skills
Develop hands-on skills in building intelligent applications, embedded systems, sensor integration, and real-time data processing.
Collaboration and Communication
Encourage teamwork and communication through interdisciplinary engineering projects, workshops, and technical seminars.
Elective Courses
Offer electives in AIoT, industrial automation, computer vision, and deep learning to bridge the gap between AI theory and engineering practice.
Problem-Solving Abilities
Empower students to design intelligent engineering solutions by integrating analytical reasoning with technical implementation strategies.
Core courses
Covering fundamental topics in computer science, including programming languages, data structures, algorithms, computer networks, database systems, and software engineering
Elective courses
Elective courses allowing students to explore specialized areas of interest such as artificial intelligence, machine learning, cybersecurity, computer graphics, and game development.
Hands-on learning experiences
Hands-on learning experiences through programming labs, projects, internships, and industry collaborations to apply theoretical concepts to real-world problems and gain practical experience.
Capstone project or thesis work
Capstone project or thesis work requiring students to undertake a substantial independent research or software development project under the guidance of faculty mentors.
Graduates of the B.E. Tech in Artificial Intelligence program are skilled in designing intelligent systems, integrating AI solutions into engineering workflows, and advancing automation. Some potential career paths include:
AI Engineer
Develop AI models and integrate them into real-world systems for automation, predictive analytics, and smart services.
Embedded Systems Engineer
Design intelligent embedded systems for industries such as automotive, healthcare, and consumer electronics.
Computer Vision Specialist
Build AI-powered vision systems for applications in surveillance, medical imaging, and augmented reality.
Data Analyst
Interpret and visualize complex data sets to support strategic planning and decision-making.
AI Solutions Consultant
Provide tailored AI strategies to businesses aiming to improve efficiency and customer experience.
