

B.Tech. in Computer Science and Engineering (AI and Machine Learning)
- Private Institute
- Estd. 2010
B.Tech. in Computer Science and Engineering (AI and Machine Learning) at OASYS TI Overview
Oasys College Trichy B.Tech. in Computer Science and Engineering (AI and Machine Learning) is one of the popular courses offered by the institution. This course runs for a duration of 4 years. Students who wish to make a career in Engineering can opt for the course. Students aspiring to take admission must have a valid score in TNEA. Moreover, they must also fulfil the set eligibility requirements for admission. The institute also offers other courses under the Oasys College Trichy B.E. / B.Tech programme. Students are encouraged to explore them too. The below table showcases more information about Oasys College Trichy B.Tech. in Computer Science and Engineering (AI and Machine Learning):
Duration | 4 years |
Course Level | UG Degree |
Mode of Course | Full Time |
Official Website | Go to Website |
Type of University | Private |
B.Tech. in Computer Science and Engineering (AI and Machine Learning) at OASYS TI Frequently Asked Questions
The BTech CSE syllabus differs on the basis of the college offering the course. Every college follows a particular coursework pattern set by the college committee. Though the subjects might vary, the overall conceptual framework is more or less similar for students to get hold of the important concepts of the CSE field.
The syllabus includes core subjects, elective subject choices, practical lab work, workshops, and a final year research project.
The BTech Mechanical Engineering syllabus is not the same across all colleges, as every college committee sets a particular coursework pattern at the start of every academic year to be followed for the respective batch. The syllabus includes some core subjects, interesting electives, and lab work that gives detailed knowledge to the students about the workings of the field.
Helpful Link: Mechanical Engineering Subjects in Detail
The BTech Mechanical Engineering syllabus gives importance to both theory-based knowledge and practical training. You need to study the core subjects that are compulsory as they provide a strong base for the field, opt for interesting electives to explore new concepts, and attend laboratory classes and intriguing workshops to get hands-on training regarding the mechanical design aspects. So, you will get a mix of both aspects with a strong inclination towards practical application to prepare you for a fulfilling career journey ahead.
Useful Link for Reference: Mechanical Engineering Subjects
Courses | Eligibility |
---|---|
B.E. / B.Tech | Candidate must have passed Diploma in relevant stream from a recognised Institute. |
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B.Tech. in Computer Science and Engineering (AI and Machine Learning) at OASYS TI Entry Requirements
B.Tech. in Computer Science and Engineering (AI and Machine Learning) at OASYS TI Admission Process
Important Dates
B.Tech. in Computer Science and Engineering (AI and Machine Learning) at OASYS TI Cutoffs
TNEA round-wise cutoff Rank: (General-All India)
Round | 2025 |
---|---|
1 | - |
2 | 122512 |
3 | 182966 |
TNEA round-wise cutoff Rank: (OBC-All India)
Round | 2025 |
---|---|
1 | - |
2 | - |
3 | 228481 |
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B.Tech. in Computer Science and Engineering (AI and Machine Learning) at OASYS TI Contact Information
Thuraiyur main road Pullivalam village, Musiri TK.
Tiruchirappalli ( Tamil Nadu)
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