

M.Tech. in Artificial Intelligence & Machine Learning
- Private University
- Estd. 2017
M.Tech. in Artificial Intelligence & Machine Learning at SSIU Overview
A 2 years M.Tech. in Artificial Intelligence and Machine Learning programme is provided at SSIU at the PG level. SSIU M.Tech. in Artificial Intelligence and Machine Learning course has a seat intake of 6 for the students from diverse backgrounds. Check out other programmes of SSIU M.E./M.Tech.
Duration | 2 years |
Course Level | PG Degree |
Mode of Course | Full Time |
Average package | ₹ 5.18 Lakh |
Official Website | Go to Website |
Seat breakup | 6 |
Type of University | Private |
M.Tech. in Artificial Intelligence & Machine Learning at SSIU Frequently Asked Questions
M.Tech. in Artificial Intelligence & Machine Learning at SSIU Placements
| Particulars | Statistics (2025) |
|---|---|
| Average Salary | INR 5.18 Lakh |
| Highest Salary | INR 84.00 Lakh |
| Highest International Salary | INR 48.00 Lakh |
M.Tech. in Artificial Intelligence & Machine Learning at SSIU Entry Requirements
M.Tech. in Artificial Intelligence & Machine Learning at SSIU Admission Process
Important Dates
M.Tech. in Artificial Intelligence & Machine Learning at SSIU Cutoffs
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Offered by Institute of Technology, Nirma UniversityM.Tech. in Artificial Intelligence & Machine Learning at SSIU Students also asked
Approximately 150–200 students can pursue a B.Tech degree at SSIU each year. Since new batches of students are admitted each year, the number of B.Tech students may vary depending on the year of study (freshers, second year, etc.). Try getting in touch with the SSIU administration directly to find out the most precise and current information regarding the overall number of B.Tech students or the intake capacity for particular programmes.
For details on class sizes and student intake, visit the SSIU website's individual programme sections. It is important to get in touch with the institution for up-to-date information as the seat intake for each course may vary based on the policies of the university.
The training process conducted during the Swarrnim Startup and Innovation University placements is elaborated below:
Source: Official Report
Placement records maintained by the training and placement cell here at Swarrnim Startup and Innovation University show that almost 100% of the graduating students receive placement offers from numerous distinguished companies such as TCS, Wipro, IBM, Accenture and more. SSIU placement prospects are primarily generated during the course of campus recruitment events conducted within the university. The highest package and average package offered were INR 10 LPA and INR 3.30 LPA, respectively. This cell not only organises various job fairs but also trains the students and maintains placement records for every batch. The policy followed by the training and placement cell here at Swarrnim Startup and Innovation University is to reduce the skill gap as much as possible by providing the students with ample resources and opportunities and thereby improve their placement prospects.
The institute has had a strong record when it comes to placements. Check out the table for more information on Swarrnim Startup and Innovation University placements 2023-2024:
Particulars | Placement Statistics (2023) | Placement Statistics (2024) |
|---|---|---|
The highest package | INR 30 LPA (domestic) INR 48 LPA (international) | INR 84 LPA (domestic) INR 48 LPA (international) |
Average package | INR 5.18 LPA | NA |
No. of companies | 400 | 400+ |
Total offers | 2,600+ | 2,600+ |
No. of students placed | 900+ | NA |
Mechanical Engineering, Computer Engieering, information Technological Engineering, Chemical Engineering, Automobile Engineering, Civil Enginnering, Environmental Engineering, Electronics Communication Engineering, are few of the BSc specialisations offered at Swarrnim University.
Admission to the BSc course is subject to valid scores in the last qualifying exams. Therefore, candidates must have valid BSc eligibility criteria before applying for the course. The common SSIU BSc eligibility criteria for all the specialisations are as follows:
Eligibility Criteria: Class 12 with 45% aggregate from a recognised board.
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M.Tech. in Artificial Intelligence & Machine Learning at SSIU Contact Information
Bhoyan Rathod, Opposite IFFCO, Near ONGC WSS, Adalaj Kalol Highway, Gandhinagar
Ahmedabad ( Gujarat)
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