
B.Tech. in Computer Science and Engineering (Artificial Intelligence and Machine Learning)
- Private Institute
- Estd. 1996
B.Tech. in Computer Science and Engineering (Artificial Intelligence and Machine Learning) at UCE Overview
At the UG level, University College of Engineering, Thodupuzha offers 4 years B.Tech. in Computer Science and Engineering (Artificial Intelligence and Machine Learning) course with a duration of 4 years. Moreover, the total tuition fee for B.Tech. in Computer Science and Engineering (Artificial Intelligence and Machine Learning) admission at University College of Engineering, Thodupuzha is INR 2,60,000, which is valid for the entire duration of the course. Students can also check the other University College of Engineering, Thodupuzha B.E. / B.Tech courses.
Total Tuition Fees | ₹2.60 Lakh Get Fees details |
Duration | 4 years |
Course Level | UG Degree |
Mode of Course | Full Time |
Official Website | Go to Website |
Seat breakup | 66 |
Type of University | Private |
B.Tech. in Computer Science and Engineering (Artificial Intelligence and Machine Learning) at UCE Fees
University College of Engineering, Thodupuzha B.Tech. in Computer Science and Engineering (Artificial Intelligence and Machine Learning) fee is inclusive of Tuition Fees, One-Time Fees, Registration Fees, Exam Fees & other components. While the aforementioned charges are specified below, there might be other charges that are specific to the institution. The breakup of the University College of Engineering, Thodupuzha B.Tech. in Computer Science and Engineering (Artificial Intelligence and Machine Learning) fee is given below:
| Fee components | Amount (4 years) |
|---|---|
Mentioned fee is of Merit- Full Fees under Government Cost- sharing Engineering Colleges Category.
The fees might include components other than tuition fees.
Mentioned fees is as per KEAM (Kerala Engi Mentioned fee is of Merit- Full Fees under Government Cost- sharing Engineering Colleges Category.
The fees might include components other than tuition fees.
Mentioned fees is as per KEAM (Kerala Engineering, Architecture and Medical Entrance Exam). | ₹ 2.60 Lakh |
₹ 2.60 Lakh |
B.Tech. in Computer Science and Engineering (Artificial Intelligence and Machine Learning) at UCE 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.
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B.Tech. in Computer Science and Engineering (Artificial Intelligence and Machine Learning) at UCE Entry Requirements
B.Tech. in Computer Science and Engineering (Artificial Intelligence and Machine Learning) at UCE Admission Process
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The BTech syllabus is not similar in all the Indian colleges. Talking about the first year of BTech, the general subjects taught are almost similar that include Physics, Mathematics, Chemistry and other engineering fundamentals to provide a basic foundation for the BTech course ahead. Further, the BTech syllabus will differ on the basis of the specialisation you have chosen and the college, different colleges follow their own set of guidelines regarding the course curriculum that includes both core and elective subjects along with practical lab work.
BTech courses do offer a variety of electives for you to opt for in the 5th and 6th semesters, where you get the chance to pick a specific subject that interests you more and is easy-going for you.
You can choose to pick a subject according to the specialised field within your broad BTech specialization, which you would like to enter into in the future, where you see yourself as a happy and well-established engineering professional. For example, in BTech Electrical Engineering, there are a variety of electives like Power Systems and Electronics, Signal Processing, Communication Systems Theory, VLSI Technology, etc.
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