Introduction about Master of Science (Artificial Intelligence, Machine Learning and Data Science) with IBM at Yenepoya University

The Master of Science in Artificial Intelligence, Machine Learning, and Data Science with IBM at Yenepoya University is a comprehensive program designed to equip students with advanced knowledge and practical skills in the cutting-edge fields of AI, ML, and Data Science. This interdisciplinary program combines theoretical coursework with hands-on experience, preparing graduates for a variety of roles in industries such as healthcare, finance, retail, and transportation. The curriculum covers algorithms, statistical modeling, data mining, deep learning, and neural networks, along with software engineering principles for designing and deploying AI and ML applications.

Admission Process

Check eligibility criteria.

Submit the application form with required documents.

Appear for an entrance examination if required.

Participate in any subsequent selection rounds like group discussions or interviews.

Await the admission decision.

Eligibility Criteria

A minimum of 50% in BSc/B.Com/BCA/BE/BTech with Computers/Mathematics/Statistics/Business Mathematics.

Qualifying in the specified entrance exam.

Duration

The program is 2 years long.

Fees Structure

Syllabus

Machine learning algorithms

Deep learning

Natural language processing

Computer vision

Big data analytics.

Career Opportunities

Data Scientist

Machine Learning Engineer

AI Researcher

AI Product Manager

Data Engineer

Business Intelligence Analyst.

Scholarship

Scholarships may be available for candidates above 90% in 2nd PUC.

FAQs

What is the focus of the MSc AI, ML & Data Science program?

It focuses on AI, ML, and Data Science principles and applications.

Is there an entrance exam for admission?

Yes, an entrance exam may be required.

What is the duration of the program?

The program lasts for 2 years.

What is the total tuition fee for the program?

The total tuition fee is INR 3.00 Lakhs.

What kind of career opportunities can I expect after completing the program?

Careers in data science, machine learning, AI research, and more.

Are there any scholarships available?

Yes, for candidates with high academic performance.

What are the eligibility criteria?

A minimum of 50% in relevant undergraduate courses.

What is the application process?

Submit an application, documents, and follow the admission process.

Can I work while studying?

This depends on the program’s schedule and intensity.

Is the program accredited?

Accreditation details should be checked with the university.