Degree
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New answer posted
9 months agoContributor-Level 8
TSAP-Thakur School of Architecture and Planning admissions have commenced. Candidates can seek admission to TSAP Mumbai through merit and entrance based eligibility criteria. Furthermore, candidates must apply for the admission process through the official website of the Institute or through the offline mode by seeking the application form the Institute. For admission to BVoc, candidates must secure minimum aggregate in Class 12.
New answer posted
9 months agoContributor-Level 10
Yes, one can pursue a PhD without post-graduation with a minimum of 75% in a 4-year bachelor's course, but one can't appear for the NET exam.
New question posted
9 months agoNew answer posted
9 months agoContributor-Level 10
Admission to the College of Engineering and Technology (Degree), Abhinav Education Society is considered competitive. The college admits students through the MHT CETand JEE Main exams, followed by counseling through the Directorate of Technical Education (DTE), with the DTE also handling a management quota for direct admissions.
For B.E./B.Tech programs, candidates typically need a minimum of 50% in their 10+2 exams, with Physics, Chemistry, and Mathematics as core subjects.
New answer posted
9 months agoContributor-Level 10
Yes, there is a placement cell available at the College of Engineering and Technology (Degree), Abhinav Education Society. This cell is responsible for organizing campus interviews and helping students secure placements in reputed organizations.
They organize various training activities throughout the year to prepare students for placement programs and invite industries for campus recruitment.
New answer posted
9 months agoContributor-Level 10
Faculty at College of Engineering and Technology ( Degree), Abhinav Education society are good and knowledgable.
The faculty includes individuals with advanced degrees (M.Tech/Ph.D.) and industry experience, particularly in Computer Science and Electronics Engineering.
There teaching quality is good and satisfactory for core curriculum delivery.
The faculty have expertise with lectures and workshops.
New answer posted
9 months agoContributor-Level 10
New answer posted
9 months agoContributor-Level 10
Yes, students can compare the fees and placement salary at the top Architecture colleges in India accepting NATA, and determine the ROI, or the Return on Investment.
College Names | Total Tuition Fee | Average Salary Package |
|---|---|---|
| IIEST Shibpur Courses | INR 6.25 Lakh | INR 5.75 LPA |
| Jamia Millia Islamia Courses | INR 80,750 | INR 6.00 LPA |
| SPA Bhopal Courses | INR 2.50 Lakh | INR 6 LPA |
| SPA Vijayawada Courses | INR 2.13 Lakh | INR 5.5 LPA |
| Nirma University Courses | INR 1.38 Lakh | INR 3.60 LPA |
Disclaimer: This information is sourced from the official website and may vary.
New answer posted
9 months agoContributor-Level 8
Biyani Institute of Pharmaceutical Sciences application process begins from April 1 and ends by August 31. Candidates can apply for the admission process through the offline or online mode. In addition to this, for final admission, candidates must appear for document verification and submit the required fees to confirm the seat in the selected course. After receiving the admission offer or allotment letter, candidates must complete document verification and pay the admission or seat confirmation fee within the given deadline. Submission of original certificates, identity proof, CUET Score and photographs is typically required.
New answer posted
9 months agoContributor-Level 10
You can learn Deep Learning without a formal degree through various online courses available at Coursera, edX, NPTEL, Udemy, Udacity, etc., which are self paced lectures and are affordable. There are online Deep Learning courses with certificates for beginners, mid-level students, and advanced learners.
Having said that, a major degree in AI & ML or Data Science can act as a cherry on top as it will give you the basic knowledge of ML applications, including deep learning and neural networks. Plus, having internship experience, a strong portfolio, and project work can be a game changer for your Deep Learning career journey.
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