What are the subjects related to lab that are covered in BTech AI and Machine Learning at Faculty of Engineering and Technology, MSRUAS?
There are lab/practical subjects included in the Faculty of Engineering and Technology, MSRUAS BTech AI and ML course syllabus. The lab subjects allow students to learn practicalities about the theory subjects. Some of the lab subjects included in the course curriculum are:
- Engineering Chemistry Lab
- C
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There are a no. of specialisations offered for M.Tech course at the Faculty of Engineering and Technology, MSRUAS. Students can choose any of the specialisations, whichever suits to their career goals. However, the Data Science and Engineering is widely famous among students.
Yes, Faculty of Engineering and Technology conducts the RUAT Admission Test/ RUASAT for admission to the Masters in engineering course. The M.Tech course aspirants can take this exam to secure a seat. To apply for this test, aspirants can visit the MSRUAS official website. Moreover, the university a
Faculty of Engineering and Technology, MSRUAS M.Tech course is available in multiple specialisations. Thus, students can compare the colleges and institutions that offer similar specialisations. Also, there are a lot of other factors that can be considered for comparing the institutes/ colleges and
The faculty has a total of 96 seats for the M.Tech courses. In addition, the seat count can vary from one course specialisation to another. The university allot seats through a counselling process. Additionally, the seat allotment is done based on applicants scores in the accepted exams. The se
The Faculty of Engineering and Technology, MSRUAS almost offers around 7 specialisations in M.Tech courses. Also, the number of seats provided to different specialisations is on the similar pattern. Check out the name of those specialisations which have the highest number of seats:
| Courses | Seats |
|---|---|
| M.Tech. in Construction Engineering and Management | 18 |
| M.Tech. in Data Science and Engineering | 18 |
| M.Tech. in Artificial Intelligence and Machine Learning | 18 |
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