Bachelor of Science (Hons) (Data Science, Artificial Intelligence and Machine Learning) with TCS and IBM at Yenepoya University: Introduction, Admission, Registration, Eligibility, Duration, Fees, Syllabus 2024

Posted by Admin on 01-05-2024 in Shiksha hub

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

The Bachelor of Science (Hons) in Data Science, Artificial Intelligence, and Machine Learning at Yenepoya University is a pioneering program designed in collaboration with industry giants TCS and IBM. This program aims to equip students with cutting-edge skills in the fields of data analysis, machine learning algorithms, and artificial intelligence technologies. Emphasizing practical, hands-on learning, it integrates real-world projects and virtual labs to prepare graduates for the dynamic demands of the tech industry.

Admission Process

Submit an online application through the university's official website.

Attach required documents, such as academic transcripts and identification proofs.

Participate in the mandatory entrance examination if applicable.

Attend a personal interview or counseling session.

Receive admission confirmation and enroll by paying the tuition fees.

Eligibility Criteria

Successful completion of 10+2 or equivalent with a minimum of 50% marks.

Mathematics and English as compulsory subjects at the higher secondary level.

Qualifying marks in the entrance examination conducted by the university (if applicable).

Duration

4 years (Full-time)

Syllabus

Introduction to Data Science and Statistics

Programming Languages (Python, R)

Machine Learning Techniques

Deep Learning and Neural Networks

Artificial Intelligence Applications

Big Data Technologies

Project Work and Internship

Career Opportunities

Data Scientist

Machine Learning Engineer

AI Research Scientist

Big Data Analyst

Business Intelligence Analyst

Scholarship

Merit-based scholarships for top entrance exam scorers.

Need-based scholarships for economically weaker sections.

Special scholarships for women in tech.

FAQs

What is the B.Sc. (Hons) program in Data Science, AI, and ML at Yenepoya University? 

It’s an undergraduate degree program designed to equip students with skills and knowledge in data science, artificial intelligence, and machine learning. The program includes hands-on training in various tools and technologies used in the field.

What are the eligibility criteria for this program? 

Candidates must have completed two years of Pre-University Examination conducted by the Pre-University Education Board in Karnataka or an equivalent examination recognized by the university.

What is the duration of the program? 

The program is a 3+1 years (Hons) course, providing an extensive scope in the fields of data science, AI, and ML.

What are the career outcomes after completing this program? 

Graduates can work as data analysts, data scientists, machine learning engineers, data engineers, and business intelligence analysts in various industries.

Does the program offer any industry collaboration? 

Yes, the program is offered in collaboration with industry giants TCS and IBM, ensuring the curriculum is relevant to industry needs.

What is the unique selling point (USP) of the program? 

The program takes an interdisciplinary approach, combining computer science, mathematics, and statistics, and provides hands-on training in tools and technologies relevant to the industry.

Can I pursue further studies after this program? 

Absolutely, graduates can pursue further studies in data science, AI, and ML, leading to careers in research and development.

What kind of hands-on training does the program provide? 

The program offers training in programming languages, data visualization tools, and machine learning libraries.

Is there a possibility to start my own business after this program? 

Yes, the program equips students with the skills and knowledge to create innovative solutions and potentially start their own businesses.

How does this program prepare me for the future? 

The program prepares students to analyze and interpret large data sets, develop machine learning models, and design and implement AI systems, which are crucial skills for the future.