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NDRK Institute of Technology, Hassan, was started in the year 2009 and is an affiliated college situated in Thimmanahalli Industrial Area, Hassan District of Karnataka, India. It is one of the AICTE approved college which has a large variety of engineering courses in many fields. Occupying a vast area of 12 acres of land, NDRKIT offers education to 455 learners staffed by 44 dedicated members of staff. With regards to the status of undergraduate programs offered by the institute, six of them are undergraduate Engineering programs, which are all full time Bachelor of Engineering (BE) Degrees. Some of the available courses are in Artificial Intelligence, Data Science, Machine Learning besides the conventional engineering courses offered by NDRKIT.
The institute is endowed with a host of contingencies that are intended to enrich the learning process of students. One of the most important components of the NDRKIT’s academic offering is its large and well-stocked library on the fourth floor of the main building. Departments also have large stocks of books containing over 14,000 volumes on science and technology; It will be capable of seating 250 students at a time in the reference section and reading hall.
The college also gives emphasis on skillfulness as it provides efficiently designed laboratories for its respective departments. For the purpose of development NDRKIT has provided sports facilities for students and staff, conference hall for events seminer and cafeteria for students and staff. The institute also provides proper accommodation to out of station students by providing separate hostels for boys and girls. Also, NDRKIT offers transport service in providing means of transport to enhance commuter’s convenience for both students and staff.
There are in total six full time on campus BE programs offered at NDRK Institute of Technology. These courses have sections of Civil, Mechanical, Electronics and Communication, computer science engineering and the interdisciplinary fields of Artificial Intelligence and Data Science and Artificial Intelligence and Machine Learning. All programmes are four year fulltime courses. The institute currently has a total of 455 student intake over all its programs with the BE in Artificial Intelligence and Data Science programs having a total of 60 intake.
The admission process in Nit is majorly centralized with the Karnataka Common Entrance Test also known as kcet. This examination conducts at the state level, and the eligible undeserving students’ first approach to get an admission in the institute’s different engineering courses. Even the dates that have been discussed above might differ each year, but the general outline of the process largely follows the key dates of KCET. Another evidential proof that instigate is determined to offer quality knowledge is hues by the All India Council for Technical Education (AICTE) that checks on eligibility of the institute with reference to the national criteria in offering technical education.
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Parameter | Description |
---|---|
Established | 2009 |
Exam | KCET |
Courses | 1 Degrees and 6 Courses |
Institute Type | Affiliated College |
Approvals | AICTE |
Student Count | 455 |
Faculty Count | 44 |
Campus Size | 12 acres |
NDRK Institute of Technology (NDRKIT), Hassan, this AICTE approved, reputed institution is a provider of engineering courses. The centralized admission process of the institute is done through the Karnataka Common Entrance Test (KCET), which is a state-level examination and serves as the primary route for eligible candidates to get admission into the engineering programs of NDRKIT. Generally, the admission cycle is in tune with the dates of the KCET; however, this may vary from year to year. Candidates should keep track of the dates for KCET, which would happen approximately in the first half of the year.
Admission through KCET will involve counseling for seat allotment.
Eligibility norms for undergraduate programs state a minimum requirement as clearing 10+2 or equivalent with Physics, Chemistry, and Mathematics as the compulsory subjects. It has never been mentioned explicitly about cutoff marks; however, students are generally expected to have a good academic background in these subjects. Another thing is that there are six full-time Bachelor of Engineering (BE) programs offered, which include the standard engineering programs along with the innovative fields of Artificial Intelligence and Data Science.
Application Process
The application process in NDRK Institute of Technology, Hassan, is mainly based on the Karnataka Common Entrance Test (KCET). Here is the stepwise process:
1. Register and appear for KCET conducted by Karnataka Examinations Authority (KEA).
2. Counselling will be conducted by KEA for all eligible candidates after the announcement of KCET results.
3. During counselling, students will have to choose their preferences for NDRKIT and engineering programs according to their KCET rank and availability of seats.
4. Candidates who have been assigned seats in NDRKIT will have to report there and get their documents verified in order to secure admission.
5. Paying the prescribed fees and completing admission formalities in NDRKIT.
Documents needed in general are:
Degree wise Admission Process
BE Civil Engineering: Admission is based on KCET performance. The program itself is geared towards structural design, construction management, and environmental engineering.
BE Mechanical Engineering: Admission is done on the basis of KCET scores. This field of study deals with thermodynamics, manufacturing processes, and machine design.
BE Electronics and Communication Engineering: The course, which admits students through KCET, specializes in digital electronics, communication systems, along with signal processing.
BE Computer Science and Engineering: KCET results form the basis for admission. Subjects taught range from programming through data structures and algorithms to software engineering.
BE Artificial Intelligence and Data Science: This program allows admissions for 60 students each year based on KCET scores. The course includes Computer Science with major topics on AI and Data Science.
BE Artificial Intelligence and Machine Learning: Admissions shall be based on KCET results. This course includes studies of machine learning algorithms, neural networks, and AI applications.
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