MSc (AIML and Data Science) at Yenepoya University: Introduction, Admission, Registration, Eligibility, Duration, Fees, Syllabus 2024

Posted by Admin on 29-04-2024 in Shiksha hub

Introduction about MSc in Artificial Intelligence, Machine Learning, and Data Science at Yenepoya University

Yenepoya University offers a dynamic MSc program focusing on Artificial Intelligence, Machine Learning, and Data Science, equipping students with cutting-edge skills in data analysis and AI technologies.

Admission Process

Fill out the online application form.

Submit required documents: academic transcripts, entrance exam scores, etc.

Attend a personal interview.

Admission based on merit.

Eligibility Criteria

Bachelor's degree in Computer Science or related field.

Minimum GPA of 3.0 on a 4.0 scale.

Qualifying scores in entrance exams (if applicable).

Duration

2 years

Fees Structure

Year

Tuition Fees (INR)

1st

75,000

2nd

75,000

Total

1,50,000

Syllabus

Machine Learning Algorithms

Deep Learning

Data Mining Techniques

Big Data Analytics

Natural Language Processing

Career Opportunities

Data Scientist

Machine Learning Engineer

AI Researcher

Business Intelligence Analyst

Data Analyst

Scholarship

Merit-based scholarships available.

Government-funded scholarships for eligible candidates.

FAQs

What is the duration of the MSc (AIML and Data Science) program? 

The program is a 2-year full-time postgraduate course.

What is the eligibility criteria for the MSc (AIML and Data Science) program?

Candidates should have a BSc/B.Com/BCA/BE/BTech with Computers/Mathematics/Statistics/Business Mathematics with a minimum of 50% marks.

What is the scope of the MSc (AIML and Data Science) program? 

The scope is vast, with growing demand in industries like healthcare, finance, retail, transportation, and more. Graduates can pursue careers as data scientists, machine learning engineers, AI researchers, and more.

What does the curriculum of the MSc (AIML and Data Science) program include? 

The curriculum covers machine learning algorithms, deep learning, natural language processing, computer vision, big data analytics, and more.

Does the program offer any hands-on practical experience? 

Yes, the program combines theoretical coursework with practical experience, including statistical modeling, data mining, and neural networks.

Are there any specializations or electives offered in the program? 

The program has an interdisciplinary curriculum that may include various electives, but specific specializations should be checked directly with the university.

What are the career outcomes after completing this program? 

Graduates can become data scientists, AI product managers, data engineers, business intelligence analysts, and AI ethicists, among other roles.

Is there any industry collaboration in the program? 

The program is offered with collaboration from IBM, indicating industry involvement.

What are the unique selling points of the program? 

The program’s USP includes its interdisciplinary curriculum and comprehensive education in AI, ML, and Data Science.

How can I apply for the MSc (AIML and Data Science) program? 

Application details are typically available on the university’s official website. Prospective students should check the latest admission procedures there.