Universal College Patiala Answered Questions

For reserved category students, the admission criteria for B.Tech in AI & ML at Universal College of Engineering include:
- Appearing in JEE / PERA / MHT CET
- Physics, Mathematics & English as compulsory subjects with Chemistry or Technical Vocational courses in 10+2/Class 12th or equivalent examination
- Minimum 70% aggregate score in PCM (mathematics with any Technical vocational subjects)
Note: Specific relaxation in percentage or other criteria for reserved category students is not mentioned in the provided output.

B.Tech in AI & ML graduates from Universal College of Engineering can work in various job profiles such as:
* Business Intelligence Developer
* Computer Vision Engineers
* Research Scientists
* Machine Learning Engineers
* Algorithm Specialist
* Data Scientists
These professionals can be employed in industries like:
* Cyber Security
* Manufacturing
* Healthcare
* Education
* Supply Chain Management
* Fashion
* Construction
* Cloud Hosting

Check eligibility: Ensure the candidate has completed or is completing Class XII in the same year, with Physics, Mathematics, & English as compulsory subjects, along with Chemistry or Technical Vocational courses.
Meet the minimum score requirement: The candidate should have a minimum 70% aggregate score in PCM (Physics, Chemistry, Mathematics) with any Technical vocational subjects.
Appear for entrance exams: All B.Tech applicants should have appeared in JEE / PERA / MHT CET.
Apply to Universal College of Engineering: Submit the application form with required documents & fees.
Selection process: The college will select candidates based on their entrance exam scores & other criteria.
Admission: Once selected, candidates can complete the admission process by paying the required fees & submitting any additional documents.

The Universal College of Engineering offers admission to the B.Tech in AI & ML course based on the following criteria:
Indian Board:
All B.Tech applicants should have appeared in JEE / PERA / MHT CET
Physics, Mathematics & English is compulsory with Chemistry or Technical Vocational courses in 10+2/Class 12th or equivalent examination
Minimum 70% aggregate score in PCM mathematics with any Technical vocational subjects
IB Board: Diploma Holder & Certificate Holder (Min 20 Points & based on overall candidature)
Cambridge Board: Minimum of 2 Subjects
Criteria:
Academics: 20%
SOP: 10%
Extra Curriculum Activities: 20%
Universal Ai Entrance Test or Any other National Level Test: 25%
PI: 25%

Admission criteria for B.Tech in Artificial Intelligence and Machine Learning at Universal College of Engineering:
- The candidate must have completed Class XII or be completing it in the same year.
- All B.Tech applicants should have appeared in JEE / PERA / MHT CET.
- Physics, Mathematics & English is compulsory with Chemistry or Technical Vocational courses in 10+2/Class 12th or equivalent examination.
- Minimum 70% aggregate score in PCM mathematics with any Technical vocational subjects.

To get admission to Bachelor of Education (B.Ed.) at The Lord's Universal College of Education, the admission procedure is based on government and management norms. The college offers a 2-year BEd programme with a credit-based grading system comprising of four semesters. Minimum 50% marks have to be scored to pass each subject in each year.

Yes, private companies hire from B.Tech in Artificial Intelligence and Machine Learning at Universal College of Engineering. Some of the job profiles include Business Intelligence Developer, Computer Vision Engineers, Research Scientists, Machine Learning Engineers, Algorithm Specialist, and Data Scientists. Prominent industries that apply AIML include Cyber Security, Manufacturing, Healthcare, Education, Supply Chain Management, Fashion, Construction, and Cloud Hosting.

At Universal College of Engineering, B.Tech in Artificial Intelligence and Machine Learning offers several advantages, including:
* Lucrative career opportunities
* Technological advancements and innovation
* Cross-disciplinary learning
* Solving real-world problems
The programme provides a comprehensive curriculum with subjects from 5 disciplines, including 2 internships, 2 CMAPS, 1 SMART project, and more. It also offers a unique partnership with LTIMindtree for content creation, delivery, internships, and final placements.