B.Tech. in CSE (Artificial Intelligence and Machine Learning) (Collaboration With Xebia)
at SPSU, Udaipur

Private University
Estd. 2008

Hani Ayman Mohammad

B.Tech. in CSE (Artificial Intelligence and Machine Learning) (Collaboration With Xebia) - Batch of 2026

4.2

The campus has good environment and I am having a satisfying experience.

Placements: Placement support is nice. There are expert sessions to better understand the campus to corporate shift and skills enhancement sessions to be interview-ready. Recruiting companies like Xebia, TCS, L&T, Jammu & Kashmir Cements, Berger, Asian Paints, Kadel Labs, etc. (including tech and non-tech).

Infrastructure: There is good food. Rooms have enough space, and are shared. Wi-Fi occasionally goes off. Sports equipment available like cricket, football, basketball, Volleyball, tennis, badminton, table tennis, chess, carrom, and many more. Medical facilities are available almost every day.

Faculty: Teachers are helpful. The course curriculum is relevant. Semester exams are tough including questions from small points mentioned in the lectures. Students are made industry-ready. You have to do self-learning. There is support from the university for participating in and arranging hackathons and tech fests.

Reviewed on 30 May 2026Read More

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B.Tech. in CSE (Artificial Intelligence and Machine Learning) (Collaboration With Xebia)

Table of contents

Overview
Fees
Student Reviews
Placements
Entry Requirements
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B.Tech. in CSE (Artificial Intelligence and Machine Learning) (Collaboration With Xebia)
at
SPSU
Overview

SPSU offers a 4 years B.Tech. in CSE (Artificial Intelligence and Machine Learning) (Collaboration With Xebia) course at the UG level. To get admitted to SPSU B.Tech. in CSE (Artificial Intelligence and Machine Learning) (Collaboration With Xebia) course, applicants must meet the entry requirements - 50.0% in 12th. SPSU The total tuition fee for this course is INR 800000 for the entire duration of the course. Apart from the tuition fee, students are also required to pay a one-time admission fee of INR 16200, and a hostel fee of INR 440000. To learn more about other courses offered under B.E. / B.Tech at SPSU, please visit.

Total Tuition Fees	₹8.00 Lakh Get Fees details
Duration	4 years
Course Level	UG Degree
Mode of Course	Full Time
Official Website	Go to Website
Type of University	Private

B.Tech. in CSE (Artificial Intelligence and Machine Learning) (Collaboration With Xebia)
at
SPSU
Fees

Fee components	Amount (4 years)
Tuition Fees The fees might include components other than tuition fees.	₹ 8.00 Lakh
Hostel Fees The hostel fee mentioned above is the cheapest option available. Fee for AC Room- INR 600000. Meal Plan is not included in mentioned fee. Escalation of up to 10% per annum will be applicable for new a Read more The hostel fee mentioned above is the cheapest option available. Fee for AC Room- INR 600000. Meal Plan is not included in mentioned fee. Escalation of up to 10% per annum will be applicable for new admissions.	₹ 4.40 Lakh
One-time Payment One-time payment includes Application Fee and Registration Fee.	₹ 16,200
Total fee	₹ 12.56 Lakh

These are based on information available on various sources. Latest values may differ.

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B.Tech. in CSE (Artificial Intelligence and Machine Learning) (Collaboration With Xebia)
at
SPSU

Frequently Asked Questions

B.Tech. in CSE (Artificial Intelligence and Machine Learning) (Collaboration With Xebia)
at
SPSU

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B.Tech. in CSE (Artificial Intelligence and Machine Learning) (Collaboration With Xebia)
at
SPSU
Placements

Top Recruiters for SPSU

Bajaj Finserv

CapGemini

Decathlon

Deloitte

Jaro Education

JKCement

L&T Infotech

TCS

Tech Mahindra

Wipro

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B.Tech. in CSE (Artificial Intelligence and Machine Learning) (Collaboration With Xebia)
at
SPSU
Entry Requirements

General

Requirements for 12th grade Up Arrow Icon

50%
Passed XII std or its equivalent examination with Physics and Mathematics as compulsory subjects along with one of the Chemistry or Biotechnology or Biology or Technical Vocational subject or Computer Science or Information Technology or Informatics Practices or Agriculture or Engineering Graphics or Business Studies. Obtained at least 40% marks in case of Backward Class categories, Economically Weaker Section and Persons with Disability in the above subjects taken together.
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