Panimalar Institute of Technology Poonamallee Chennai Answered Questions

To get a seat in Panimalar Institute of Technology for B.Tech. in Artificial Intelligence and Data Science, follow these steps:
1. Check the eligibility criteria: The candidate should have passed 10+2 with a minimum of 50% marks in Physics, Chemistry, and Mathematics.
2. Apply for admission: Fill the application form available on the official website of the institute.
3. Appear for the entrance exam: The institute considers scores of entrance exams like JEE Main, TNEA, etc.
4. Attend counseling: If selected, attend the counseling session to confirm the admission.
5. Pay the fees: Pay the tuition fees and other charges as per the institute's norms.

Yes, Panimalar Institute of Technology provides placements for B.Tech. in Artificial Intelligence and Data Science. The department has state-of-the-art computing facilities and provides opportunities such as in-plant training, internships, and workshops during the course of study.

The eligibility criteria to seek direct admission for the BTech in AI & Data Science course at Panimalar Institute of Technology are as follows:
- A pass with prescribed eligibility marks in any recognised 10+2 or equivalent with a minimum aggregate of 45% for General Category, 40% for BC including BCM, MBC & DNC, and just pass for SC/SCA/ST.
- Mathematics as one of the core subjects at the 10+2 level.
Note: The eligibility criteria may be subject to change, and it's recommended to check with the institution for the most up-to-date information.

B.Tech. in Artificial Intelligence and Data Science at Panimalar Institute of Technology is chosen for its:
1. Emerging areas in Data Science, Data Engineering, and Advanced Analytics.
2. Expertise in critical skills like Artificial Intelligence, Machine learning, and Mathematical modelling.
3. Insights in natural language processing, text mining, robotics, and problem-solving.
4. State-of-the-art computing facilities and opportunities like in-plant training, internships, and workshops.
5. Strong vision and mission to develop students with strong capabilities in Artificial Intelligence and Machine Learning.

The eligibility criteria for admission to Panimalar Institute of Technology for BTech in AI & Data Science are:
- Candidates should have a pass with prescribed eligibility marks in any recognised 10+2 or equivalent with Physics, Chemistry, and Mathematics as core subjects.
- The aggregate percentage required for different categories are:- General Category: 45%- BC including BCM: 40%- MBC & DNC: 40%- SC/SCA/ST: 40%

For BTech in AI & Data Science at Panimalar Institute of Technology, the admission criteria for reserved category students is as follows:
For SC/SCA/ST candidates, they should have just passed the qualifying examination.
For BC including BCM, MBC & DNC categories, the aggregate percentage is 40%.
Note: The information is based on the general admission criteria and may be subject to change. It's always best to check with the institution for the most up-to-date and accurate information.

To be eligible for admission to the BTech in AI & Data Science at Panimalar Institute of Technology, a candidate should pursue the Science stream with Mathematics as one of the core subjects at the degree level, with a minimum aggregate of 45% for the general category, 40% for BC, MBC, and DNC categories, and just a pass for SC/SCA/ST categories.

BTech in AI & Data Science graduates from Panimalar Institute of Technology can work in various sectors such as:
* Tech industry
* Finance organizations
* Data Science and machine learning
* Artificial Intelligence
* Data Engineering
* Advanced Analytics
* Product development
* Natural Language Processing (NLP)
* Robotics
* Reasoning and problem solving

BTech in AI & Data Science graduates from Panimalar Institute of Technology can work in various roles such as:
* Data Scientist
* Machine Learning Engineer
* Artificial Intelligence Engineer
* Data Analyst
* Business Intelligence Developer
* Data Engineer
* Natural Language Processing Specialist
* Robotics Engineer
* Product Developer
They can work in industries such as technology, finance, healthcare, and more, where they can apply their skills in data analysis, machine learning, and artificial intelligence to drive business decisions and solve complex problems.