M.Tech. in Artificial Intelligence and Machine Learning
- Private Institute
- Estd. 2013
M.Tech. in Artificial Intelligence and Machine Learning at Faculty of Engineering and Technology Overview
Duration | 2 years |
Course Level | PG Degree |
Mode of Course | Full Time |
Total Tuition Fees | ₹4.26 Lakh |
Average package | ₹ 6.12 Lakh |
Application Link | Go to Website |
Seat breakup | 18 |
Type of University | Private |
M.Tech. in Artificial Intelligence and Machine Learning at Faculty of Engineering and Technology Fees
Fee components | Amount (2 years) |
---|---|
The fees might include components other than tuition fees. | ₹ 4.26 Lakh |
₹ 50,000 | |
₹ 4.76 Lakh |
These are based on information available on various sources. Latest values may differ.
M.Tech. in Artificial Intelligence and Machine Learning at Faculty of Engineering and Technology Highlights
- Application Open | Apply www.bit.ly/MSRUAS-appl?open-reg
M.Tech. in Artificial Intelligence and Machine Learning at Faculty of Engineering and Technology Placements
Particulars | Statistics (2024) |
---|---|
Average Salary | INR 6.12 Lakh |
Highest Salary | INR 52.00 Lakh |
Median Salary | INR 6.00 Lakh |
% Batch placed | 80 |
Highest International Salary | INR 22.00 Lakh |
M.Tech. in Artificial Intelligence and Machine Learning at Faculty of Engineering and Technology Frequently Asked Questions
Q: Question: How is the course curriculum for B.E. / B.Tech at Faculty of Engineering and Technology?
Structure of the Course Curriculum for B.E./B.Tech
* Updated Syllabus: The syllabus is updated regularly to reflect current industry trends and demands.
* Relevant to Industry Needs: The curriculum is designed to make students industry-ready, providing them with the necessary skills and knowledge to succeed in the workplace.
* Assignments and Projects: Assignments and projects are an integral part of the course, allowing students to apply theoretical knowledge to real-world scenarios.
* Practical Exposure: Many departments offer industrial exposure, giving students hands-on experience in their respective fields.
* Mandatory Projects: Mandatory projects are undertaken in certain semesters, ensuring that students develop practical skills and understand complex concepts.
* Quality of Teaching: Teachers are well-qualified and knowledgeable, making efforts to explain complex concepts in an understandable manner.
Notable Points
* Aerospace Engineering students have a unique advantage with artificial intelligence labs in the 7th semester, unmatched by other colleges in Karnataka.
* Mechanical Engineering students appreciate the emphasis on practical application and hands-on training.
* Software Engineering students benefit from the focus on programming languages and coding techniques.
Placements and Internships
* Various companies visit the campus for recruitment, offering packages ranging from INR2.5 Lacs to INR21 Lacs per annum.
* About 35-70% of students secure placements, depending on the department and performance.
* Internships are available in renowned companies, providing students with valuable industry experience.
Note: These points are summarized from the students' and alumni's reviews provided. The answer focuses on the course curriculum, updates, relevance, and assessments, along with notable points and information on placements and internships.
Q: What is the effectiveness of the placement cell for B.E. / B.Tech programs at Faculty of Engineering and Technology?
Effectiveness of Placement Cell for BE/BTech Programs at Faculty of Engineering and Technology
Based on the reviews and comments provided by students and alumni, here's a summary of the effectiveness of the placement cell:
* Poor Placements: Many students reported that the placement cell did not perform well, with only 20-30% of students getting placed last year.
* Limited Job Opportunities: Most students felt that the companies visiting the campus were limited, and the job offers were not attractive.
* Low Salary Packages: The average salary package offered to students was around 2.50 LPA to 3 LPA, with the highest package reaching 3.20 LPA.
* Startups Dominant: Startups dominated the campus placements, with fewer MNCs participating.
* Placement Cell Not Helpful: Students complained that the placement cell was unhelpful in bringing companies to the campus and providing adequate support.
However, a few positive comments emerged:
* Improving Trend: One student mentioned that the placement trend was improving, with more companies visiting the campus recently.
* Higher Package Offers: Another student mentioned that the highest package offered was 7 LPA, although this may not be representative of the majority of students.
Overall, the feedback suggests that the placement cell at the Faculty of Engineering and Technology requires improvement to increase the number of job opportunities and attract higher salary packages for its students.
Q: Is Faculty of Engineering and Technology good for B.E. / B.Tech?
Faculty of Engineering and Technology
* Teaching Quality: The faculty members are well-qualified, knowledgeable, and experienced. They are helpful, friendly, and approachable. Most students agree that the teachers are good and cooperative.
* Infrastructure: The infrastructure is good, with modern classrooms, well-equipped labs, and a library with a wide collection of books. The hostels are comfortable, with good food and amenities.
* Placements: The placement record is good, with around 90% of students getting placed. The highest package offered is around 54 LPA, and the average package is around 5-6 LPA. Top companies like Infosys, Tata, and others recruit students from the college.
* Curriculum: The course curriculum is relevant and up-to-date, providing students with industry-ready skills. The exams are not too difficult, and the passing percentage is generally high (around 60%).
* Internships: Some students reported that internships are not provided by the college, but students can find them on their own.
Overall, the Faculty of Engineering and Technology seems to be a good choice for students looking for a strong engineering education. With good teaching quality, adequate infrastructure, and a decent placement record, it appears to be a suitable option for aspiring engineers.
M.Tech. in Artificial Intelligence and Machine Learning at Faculty of Engineering and Technology Entry Requirements
M.Tech. in Artificial Intelligence and Machine Learning at Faculty of Engineering and Technology Admission Process
Admissions Open! Apply Now
- Register and ApplyApplication Open | Apply www.bit.ly/MSRUAS-appl?open-reg
Important Dates
M.Tech. in Artificial Intelligence and Machine Learning at Faculty of Engineering and Technology Cutoffs
Karnataka PGCET round-wise cutoff Rank: (General-All India)
Round | 2022 | 2023 | 2024 |
---|---|---|---|
1 | 2156 | 1901 | 1778 |
2 | 2661 | 1587 | - |
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M.Tech. in Artificial Intelligence and Machine Learning at Faculty of Engineering and Technology News & Updates
M.Tech. in Artificial Intelligence and Machine Learning at Faculty of Engineering and Technology Contact Information
#470-P, Peenya Industrial Area, Peenya-IV Phase
Bangalore ( Karnataka)
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