Universal AI University Universal AI University Placement

What are the placement stats recorded during Universal AI University placement drive?

16 Views|Posted 3 years ago

Asked by Indrani Choudhury

1 Answer

Sort by:

Answered by

Indrani Choudhury | Contributor-Level 10

3 years ago

As per placement report 2022, the median package offered during Universal AI University placements stood at INR 10 LPA. To know the other placement statistics for flagship programme, students can see the points mentioned below 2022:

Total no. of interviews-80
Average no. of interviews- 10
Students earn

Upvote

Similar Questions for you

What is the fee structure for the BTech programme at Universal AI University?

Al Kashaf

Universal Al University BTech course fee ranges from INR 14. 94 lakh to INR 17.12 lakh. Where the most expensive specialisation is BTech in Sound Engineering and the most affordable specialsation is BTech in CS (Data Science)- Lateral Entry.

Which entrance exams are accepted for BTech admission at Universal AI University?

Al Kashaf

Universal AI University accepts scores from JEE Main, MHT-CET, CUET-UG, or PERA CET for its BTech course admission. If candidates haven't taken these then they can appear for the university's entrance test (UAIAT).

Al Kashaf

Universal Al University offers various specialisations in its BTech course like Computer Science (AI and ML), Sound Engineering, Computer Science (Data Science), Computer Science (Data Science)- Lateral Entry, etc.

What career opportunities are available after completing B.Tech in AI & ML or Data Science from Universal AI University?

Abhishek Gaurav

BTech in AI & ML or Data Science graduates from Universal AI University are eligible for positions like Data Scientist, AI Engineer, Machine Learning Specialist, and Business Analyst. Through hands-on project work and 2 internships, students are placed in the global tech-enabled industries. Problem-

Abhishek Gaurav

Universal AI University's BTech in Data Science educates students in programming tools such as Python, R, and SQL for practical use. The syllabus emphasizes predictive modeling, classification, and data visualization for industries such as finance, healthcare, and marketing. Students go through inte