
Program Eligibility
You must successfully complete BE/BTech in Electrical Engineering, Circuit Streams, Computer Science, or in any other discipline with a minimum of 60% marks.
If you are from other discipline, you must qualify a Programming Skills Test conducted by the Institute.
You must appear for the Manipal Entrance Test (MET) and secure the required cut off.
Industry- Recognized Program: Our program is aligned with the standards of AICTE, recognized by Edge Impulse and backed up through industry collaborations like VuNet Systems, enabling strong industry connections.
Strong Technical Foundations: You build strong foundational and core mathematical, computational, and coding skills, essential to understand and develop modern AI and ML algorithms.
Cutting-Edge Applications: Our program trains you to master algorithmic approaches, AI & ML principles with state-of-the art tools necessary in the industry, enhancing your skills with accordance to the industrial standards.
Ethical and Societal Impact: You develop teamwork, leadership, and ethical practices, through team projects and individual learning, enabling you to apply AI and ML skills into sustainable development and socially important problems.

Lab Work
Dedicated lab sessions and mini projects to bridge the gap between theoretical learning into practical applications.
Lab Work
Dedicated lab sessions and mini projects to bridge the gap between theoretical learning into practical applications.
Program Details
Acquire solid mathematical and computational skills essential for understanding, applying, developing, and deploying modern artificial intelligence and machine learning algorithms.
Display skills through practical experience in structuring artificial intelligence and machine learning projects using state-of-the-art software.
Address multi-disciplinary challenges through coursework and projects by adapting to the rapidly advancing developments in artificial intelligence and machine learning approaches.

Our meaningful collaborations with industry leaders and global universities enhance your career opportunities and higher education pathways
















Admissions Path
Curriculum and Fees
You can build on strong fundamentals and core concepts in Applied learning algebra, deep learning, advanced ML techniques, applied probability and statistics, data visualization, and algorithms and data structures for Big Data, along with electives in graph theory, mathematics for ML, IT project management, architecture for Big Data Systems, and entrepreneurship, enhancing your overall development in the field of AI & ML.
Program Duration
Total Program Fee
General:
Total Program Fee
NRI/Foreign:
Scholarships


Related Courses
FAQs