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
Faculty of Engineering and Technology, M.S. Ramaiah University of Applied Sciences offers a 2 years M.Tech. in Artificial Intelligence and Machine Learning course at the PG level. A total of 18 students can enrol in this course. The total tuition fee for the entire duration of this course is INR 4,26,000. Find out more about other courses under Faculty of Engineering and Technology, M.S. Ramaiah University of Applied Sciences M.E./M.Tech.
Total Tuition Fees | ₹4.26 Lakh Get Fees details |
Duration | 2 years |
Course Level | PG Degree |
Mode of Course | Full Time |
Average package | ₹ 6.12 Lakh |
Official Website | Go to Website  |
Seat breakup | 18 |
Type of University | Private |
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M.Tech. in Artificial Intelligence and Machine Learning at Faculty of Engineering and Technology Fees
Faculty of Engineering and Technology, M.S. Ramaiah University of Applied Sciences M.Tech. in Artificial Intelligence and Machine Learning fee includes multiple components, such as Tuition Fees, Hostel Fees, Security Deposits, One-Time Fees, Mess Charges, etc. Among all these components, the tuition fee and security deposit are the mandatory fees paid during Faculty of Engineering and Technology, M.S. Ramaiah University of Applied Sciences admission. Additionally, the hostel fee is applicable only for specific residential programmes offered by the Faculty of Engineering and Technology, M.S. Ramaiah University of Applied Sciences, which is entirely subjective. The total tuition fee for M.Tech. in Artificial Intelligence and Machine Learning at the institute is INR 4,26,000. Candidates can check out the following table to learn more details regarding Faculty of Engineering and Technology, M.S. Ramaiah University of Applied Sciences M.Tech. in Artificial Intelligence and Machine Learning fee breakup:
| Fee components | Amount (2 years) |
|---|---|
The fees might include components other than tuition fees. | ₹ 4.26 Lakh |
₹ 4.26 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 Frequently Asked Questions
Graduates with a BTech degree in CSE are in high demand across a plethora of work fields, as everything is ruled by computer technology these days and every industry needs strong software applications, network security, and database management systems for effective working. A few top industries recruiting BTech in CSE graduates are given here:
- IT & Software
- Product Development
- E-Commerce and Digital Commerce
- Cloud Computing & AI
- Data Science & Analytics
- Banking and FinTech
- Automotive
- Healthcare
Useful Link: BTech CSE Career Scope
Robotics Engineering graduates can look forward to a lot of earning opportunities with recruiters offering them handsome salary packages. Some of the popular Robotics Engg. job profiles are given here:
- Robotics Application Engineer
- Robotics Software Engineer
- Robotics Lead Technician
- Automation Engineer
- Mechatronics Engineer
- Robotics Research Scientist
- Electro-Mechanical Engineer
- Robotics Quality Engineer
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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 |
Top Recruiters for Faculty of Engineering and TechnologyM.Tech. in Artificial Intelligence and Machine Learning at Faculty of Engineering and Technology Entry Requirements
- N/A
- Read more
Candidates must have passed BE / B. Tech. or equivalent in Electronics and Communication Engineering, Computer Science and Engineering, Electrical and Electronics Engineering, Automobile / Automotive Engineering, Mechanical Engineering, Aerospace / Aeronautics Engineering, Civil Engineering,Bio-Medical, Mechatronics, Information Science. Power Electronics and Drives BE / B. Tech.. or equivalent in Electrical
M.Tech. in Artificial Intelligence and Machine Learning at Faculty of Engineering and Technology Admission Process
Important Dates
M.Tech. in Artificial Intelligence and Machine Learning at Faculty of Engineering and Technology Cutoffs
3Karnataka PGCET round-wise cutoff Rank: (General-All India)
| Round | 2023 | 2024 | 2025 |
|---|---|---|---|
| 1 | 1901 | 1778 | 2787 |
| 2 | 1587 | - | 3247 |
Karnataka PGCET round-wise cutoff Rank: (General-Home State)
| Round | 2024 |
|---|---|
| 1 | 2362 |
Karnataka PGCET round-wise cutoff Rank: (OBC-All India)
| Round | 2022 | 2023 | 2024 |
|---|---|---|---|
| 1 | 2156 | 1901 | 1778 |
| 2 | 2661 | 1587 | - |
Karnataka PGCET round-wise cutoff Rank: (OBC-Home State)
| Round | 2024 |
|---|---|
| 1 | 2362 |
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Major topics included in any Information Technology undergraduate degree course which are common across most of the colleges. These subjects are essential for introducing candidates to the nuances of Computer Applications and improving skills. The subjects are as follows.
- Computer Architecture and Organisation
- Database Systems
- Electronics
- Operating Systems
- Data Structures
- Engineering Mathematics.
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This depends on your interest and learning potential and everybody will have different viewpoints regarding the same. The syllabus that is tough for you might be very easy to understand for the other person, who has a lot of interest and passion for computer technology, hardware and software system applications. For example, you may find Computer Science Engineering applications and Data Structures taught in the first year of IT courses very tough because of the high mathematical aptitude and analytical approach that it deals with. But, for some other person, it might be easy to study, as it gives you an opportunity to brainstorm and learn something different.
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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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