Canara Engineering College Courses

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New answer posted

6 months ago

0 Follower 4 Views

N
Nishtha Panda

Contributor-Level 8

Canara Engineering College BE in Computer Science and Engineering is a UG level course offered in full-time mode. The college offers BE in Computer Science and Engineering for an annual intake of 180 students with total tuition fee as INR 3.86 Lakh.

Admission to BE in Computer Science and Engineering is based on merit and valid entrance scores. Therefore, candidates must secure a minimum aggregate of 45% in Class 12 with Physics and Mathematics as mandatory subjects along with Chemistry / Bio-Technology / Biology / Electronics / Computer Science as optional subjects with English.

Furthermore, candidates must appear for counselling based

...more

New answer posted

6 months ago

0 Follower 1 View

A
Aashi Rastogi

Contributor-Level 10

Canara Engineering College BE in Mechanical Engineering is a UG level course provided in affiliation with Visveswaraya Technological University (VTU). The college offers the respective course for the duration of 4 years with an annual intake of 30 students. Furthermore, the total tuition fee of BE in Mechanical Engineering ranges from INR 3.9 Lacs to INR 12 Lakh. Admission to the respective course is based on merit and valid entrance scores. 

New answer posted

10 months ago

0 Follower 2 Views

K
KUMKUM BASWAL

Contributor-Level 8

B.E./B.Tech is the most popular course at Canara Engineering College because of its excellent academic reputation, industry-oriented curriculum, and strong placement records. The college offers a wide range of engineering disciplines, attracting students interested in pursuing careers in technology and innovation.

New answer posted

a year ago

0 Follower 3 Views

J
Jagriti Shukla

Contributor-Level 10

Canara Engineering College offers BE specialisation in 6 fields. The college offers a BE programme for four years. Canara Engineering College's specialisation consists of Information Science & Engineering, Electronics & Communication Engineering, Computer Science & Design, Computer Science & Business Systems, Computer Science & Engineering, and Artificial Intelligence & Machine Learning.

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