Amity University | M.Tech Admissions 2025
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Updated on Jan 21 2025, 12:23 PM IST by Deepanshi Pant
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- JNN Institute of Engineering, Tiruvallur Admission Process
- JNN Institute of Engineering, Tiruvallur UG Course Admissions
- JNN Institute of Engineering, Tiruvallur PG Course Admissions
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BE Computer Science and Engineering
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JNN Institute of Engineering, Tiruvallur Admission Process
The college offers courses at undergraduate and postgraduate level. JNN Institute of Engineering, Tiruvallur UG courses include BE Computer Science and Engineering, BE Electronics and Communication Engineering, BE Cyber Security, B.Tech Artificial Intelligence and Data Science and many more. All the courses are offered in full time mode only. The college offers one postgraduate course as well. JNN Institute of Engineering, Tiruvallur PG course includes MBA. JNN Institute of Engineering, Tiruvallur PG admissions are offered to candidates who must hold a BE Degree irrespective of the subject, from a recognised board and a valid score in TANCET examination.
JNN Institute of Engineering, Tiruvallur Process 2024
The candidates must visit the official website of the college.
Then the candidates must click on the admission tab and download the application form.
Fill in all the required details and upload the required documents.
Finally, the candidates must pay the JNN Institute of Engineering, Tiruvallur admission fees and submit the application form.
JNN Institute of Engineering, Tiruvallur UG Course Admissions
The details of the JNN Institute of Engineering, Tiruvallur courses and eligibility criteria are given in tabular format.
JNN Institute of Engineering, Tiruvallur courses and eligibility criteria
Courses | Seat intake | Eligibility criteria |
420 | Candidates must have passed class 12th from a recognised board. |
JNN Institute of Engineering, Tiruvallur UG Admission Process
Candidates have to fill out the online application form available on the JNN Institute of Engineering, Tiruvallur official website.
The JNN Institute of Engineering, Tiruvallur selection will be based on the candidate's performance in the class 12th examinations.
Candidates have to fill out the online application form on the JNN Institute of Engineering, Tiruvallur website.
Admission will be considered finalised after all the document verification and fee payment.
JNN Institute of Engineering, Tiruvallur PG Course Admissions
The details of the JNN Institute of Engineering, Tiruvallur courses and eligibility criteria are given in tabular format.
JNN Institute of Engineering, Tiruvallur courses and eligibility criteria
Courses | Seat intake | Eligibility criteria |
| MBA | 60 | Candidates must hold a BE Degree irrespective of the subject from a recognised board. + Valid score in TANCET examination. |
JNN Institute of Engineering, Tiruvallur PG Admission Process
Candidates have to fill out the online application form available on the JNN Institute of Engineering, Tiruvallur official website.
The JNN Institute of Engineering, Tiruvallur selection will be based on the candidate's performance in the BE/ B.Tech degree.
Candidates have to fill out the online application form on the JNN Institute of Engineering, Tiruvallur website along with their TANCET score details.
Candidates who will pass the eligibility criteria and the JNN Institute of Engineering, Tiruvallur Cut-off will be then considered for further admissions.
Admission will be considered finalised after all the document verification and fee payment.
Documents required
Admit Card and Scorecard
Secondary mark sheet and certificates
Caste and Domicile certificate
Migration Certificate
Allotment letter and Rank letter
4 passport size photographs
Transfer Certificate and Character Certificate
PH certificate (if applicable)
One self-attested photocopy of ID proof
Admissions will be finalised only after final documentation verification, candidates are required to submit original certificates and documents.
Student Reviews for JNN Institute of Engineering, Tiruvallur
4.2/5(4 Reviews)
Library is Well-stocked with All kind of Books
Verified ReviewPosted on 12 May'25 by Anonymous
Batch of 2026-01-01 | B.Tech Artificial Intelligence and Data Science
This user chose to post anonymously
Batch of 2026-01-01 | B.Tech Artificial Intelligence and Data Science
Academics
Maximum faculty members are very knowledgeable. They guide us to improve the student's study as well as the student's extra skills. In the first year, faculty members make students industry-ready. The semester exams are very easy to pass and to get a good CGPA because they conduct Internal Assessment 1, and Internal Assessment 2, as well as model for gaining more knowledge.
Labs are updated with modern Equipment
Verified ReviewPosted on 12 May'25 by Anonymous
Batch of 2027-01-01 | BE Computer Science and Engineering
This user chose to post anonymously
Batch of 2027-01-01 | BE Computer Science and Engineering
Academics
Maximum faculty members are PhD holders. Teaching quality is very good, and faculty is intelligent. The college prepares students ready for the industry. It is not difficult to pass in this college, with a pass percentage of 78.4%.
Campus always Clean and Maintained properly
Verified ReviewPosted on 12 May'25 by Anonymous
Batch of 2026-01-01 | BE Electronics and Communication Engineering
This user chose to post anonymously
Batch of 2026-01-01 | BE Electronics and Communication Engineering
Academics
Faculty taught us in a friendly way. They explained the lessons with real-life examples, which made students understand it easier. They did not just teach for the B.E., they taught us to become future software developers. The semester exams were easy to write because the teachers had already taught those concepts easily so we could write. The pass percentage was 70%.
Have a question related to JNN Institute of Engineering, Tiruvallur ?
Hello aspirant,
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The field of Artificial Intelligence (ai systems) and machine learning algorithms encompasses computer science, natural language processing, python code, math, psychology, neuroscience, data science, machine learning and many other disciplines. An introductory course in AI is a good place to start as it will give you an overview of the components bring you up to speed on the AI research and developments to date. You can also get hands-on experience with the AI programming of intelligent agents such as search algorithms, games and logic problems. Learn about examples of AI in use today such as self-driving cars, facial recognition systems, military drones and natural language processors.
Go further with courses in Data Science, Robotics and Machine Intelligence. Learn the fundamentals of how robots operate, including how to represent 2D and 3D spatial relationships, how to manipulate robotic arms and plan end to end AI robot systems. In Machine learning, explore unsupervised learning techniques for data modeling and analysis including data clustering, computer vision, reinforcement learning, problem solving, machine learning algorithms, image recognition, data mining, speech recognition matrix factorization and sequential models for order-dependent data.
Start with Artificial Technology and get an overview of this exciting field. If you are unfamiliar with basic computer science and programming, it will be helpful to take and introductory class to learn Python, R or another programming language commonly used in data analysis.
I hope it helps.
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