About the Program:

AI is one of the most disruptive technologies impacting the future of every industry and mankind. AI driven technology has been instrumental in reinventing human lifestyle and demand for engineers trained in these technologies is rapidly growing. This graduate program, has a comprehensive coverage of applied and statistical methods used in Machine Learning and Artificial Intelligence while preparing students to experiment, analyze and design solutions to problems. The curriculum allows students to imbibe strong theoretical, technical and design skills which will provide an edge for them in developing competence needed to master strategies in Machine Learning applications and data management. In this way, it facilitates the creation of innovative strategies for solving challenging real world problems.  Overall, the comprehensive industry oriented curriculum along with project and application based learning pedagogy coupled with mentoring from highly experienced faculty will make the students industry ready.

Career Scope:

AI in Healthcare: Healthcare is one area where there is a lot of scope for AI applications. AI-powered healthcare will be available at a scale and on-demand for everyone. Hence, the requirement for AI-assisted healthcare technical jobs will see an upward surge.

AI in the Gaming Industry: The gaming industry is one area where AI applications are immense. Right from game design and development to In-Game operations and maintenance, AI plays an indispensable role that is reaping huge rewards for gaming companies. With virtual reality games becoming highly popular, companies are bound to invest a lot of money on AI-based systems. Thus, AI developer jobs in gaming will be in high demand.

AI in Automated Transportation: AI is already playing a major role in the automated transportation sector. Companies like Uber and Google are investing millions of dollars into AI-based self-driving cars and trucks. As this mode of transportation picks up in the future, it is going to create plenty of vacancies for AI and machine learning engineers.

AI in Financial Services: Financial Services companies such as banks require AI engineers to develop systems that can identify and mitigate fraud. They are also using Machine Learning based anomaly detection models to monitor transaction requests and identify suspicious activity.

AI in Education: The education industry is slowly shifting towards e-learning. Concepts such as smart content, personalized learning, and other data-driven operations depend heavily on AI.

AI and Digital Assistants: Digital assistants such as the Google Assistant, Siri, Alexa, and Bixby are getting smarter by the year. Global IT behemoths such as Google, Samsung, and Amazon are pouring billions of dollars into making digital assistants perform complex tasks. These tasks include learning about our daily routines, speech recognition, etc.

AIML: Employment Areas:

• Banking
• Businesses
• Data Analyst
• Data Scientist
• Computer Vision Engineer
• Applied ML Engineer 
• Machine Learning Engineer/ Scientist

Eligibility criteria:  

• Students who have passed PUC/10+2 examination with Physics and Mathematics as compulsory subjects along with one of the subjects Chemistry /Computer Science / Electronics/ Biotechnology / Biology, with at least 45% of marks (40% in case of candidate belonging to Reserved Category as per Government order) in the above subjects taken together.
• Lateral Entry to Second Year Bachelor of Engineering (B.E): Passed Diploma examination from an AICTE approved institution, with at least 50% marks (45% in case of candidates belonging to Reserved Category) in appropriate branch of Engineering / Technology.
• For admission under management quota, students should have compulsorily appeared in CET/COMEDK/JEE or any other entrance test for professional program.

Admission through: Karnataka CET, COMED-K, Management Quota

Program Specific Objectives (PSO’s):

PSO1: Insightful understanding of computer science concepts-DBMS, DMS, Object Oriented Programming and others which form the bedrock of AI & ML.

PSO2: To apply mathematical concepts from linear algebra and integral transform for effective problem analysis and solution formulation.

PSO3: To imbibe core concepts of AI & ML which involves Business Intelligence, Robotics soft computing and other allied areas.

PSO4: Effectively use the sound principles learnt along with project management, communication and ethical conduct to contribute towards societal needs.

Program Educational Objectives (PEO’s)

PEO1: The graduate acquires appropriate engineering, technical and analytical skills needed to function effectively as an engineer and facilitate in innovation of new technologies.

PEO2: The graduate develops thorough understanding of modern tools/technologies along with ability to work in a team, which enables them to pursue higher studies.

PEO3: The graduate incorporates principles of ethics, integrity and sustainable development which are essential traits for responsible professional practice.