JNN Institute of Engineering, Tiruvallur Admission Process 2025

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
BE/B.Tech	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

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.

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Have a question related to JNN Institute of Engineering, Tiruvallur ?

I want to know about Artificial intelligence course

Hello aspirant,

Artificial Intelligence is the ability of machines to seemingly think for themselves. AI is demonstrated when a task, formerly performed by a human and thought of as requiring the ability to learn, reason and solve problems, can now be done by a machine. A prime example is an autonomous vehicle. The vehicle is able to perceive its surroundings and make decisions in order to safely reach its destination with no human intervention. Converging technologies along with Big Data and the Internet of Things (IoT) are driving the growth of AI. Machines communicate with one another and are now capable of advanced perception, capturing millions of data points in seconds, processing the information and making decisions, all in a matter of seconds. As AI evolves, machines will have more capability to physically act based on their intelligence, eventually leading to machines that can build better versions of themselves.

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.

Udit Narayan29 Jun'20

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