Faculty of Engineering and Technology
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B.Tech. in Artificial Intelligence and Machine Learning 

  • Private Institute
  • Estd. 2013

B.Tech. in Artificial Intelligence and Machine Learning
 at 
Faculty of Engineering and Technology 
Overview

Duration

4 years

Course Level

UG Degree

Mode of Course

Full Time

Total Tuition Fees

18.00 Lakh

Average package

6.12 Lakh

Application Link

Go to Website External Link Icon

Seat breakup

90

Type of University

Private

B.Tech. in Artificial Intelligence and Machine Learning
 at 
Faculty of Engineering and Technology 
Fees

Fee componentsAmount (4 years)
18.00 Lakh
50,000
18.50 Lakh
Info IconThese are based on information available on various sources. Latest values may differ.
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B.Tech. in Artificial Intelligence and Machine Learning
 at 
Faculty of Engineering and Technology 
Highlights

B.Tech. in Artificial Intelligence and Machine Learning
 at 
Faculty of Engineering and Technology 
Curriculum

Latest curriculum for B.Tech. in Artificial Intelligence and Machine Learning at Faculty of Engineering and Technology can be downloaded from the below link. The curriculum PDF has semester wise course structure, electives and detailed course content. You can also check course curriculum of other specializations offered in B.E. / B.Tech at Faculty of Engineering and Technology

Want to know more about Faculty of Engineering and Technology Scholarship details?
Read about Scholarship

B.Tech. in Artificial Intelligence and Machine Learning
 at 
Faculty of Engineering and Technology 
Placements

ParticularsStatistics (2024)
Average SalaryINR 6.12 Lakh
Highest SalaryINR 52.00 Lakh
Median SalaryINR 7.50 Lakh
% Batch placed80
Highest International SalaryINR 22.00 Lakh
Lock IconTop Recruiters for Faculty of Engineering and Technology
Amazon
Bata India
E&Y
Infosys
Make My Trip
Mphasis
TATA Consultancy Services
Tata Steel
Torry Harris
Wipro
View placement details

B.Tech. in Artificial Intelligence and Machine Learning
 at 
Faculty of Engineering and Technology 
 
Frequently Asked Questions

Q:   Is Faculty of Engineering and Technology good for B.E. / B.Tech?

A: 
{Source: B.E. / B.Tech students & alumni}

Faculty of Engineering and Technology

* Teaching Quality: The faculty members are well-qualified, knowledgeable, and experienced. They are helpful, friendly, and approachable. Most students agree that the teachers are good and cooperative.
* Infrastructure: The infrastructure is good, with modern classrooms, well-equipped labs, and a library with a wide collection of books. The hostels are comfortable, with good food and amenities.
* Placements: The placement record is good, with around 90% of students getting placed. The highest package offered is around 54 LPA, and the average package is around 5-6 LPA. Top companies like Infosys, Tata, and others recruit students from the college.
* Curriculum: The course curriculum is relevant and up-to-date, providing students with industry-ready skills. The exams are not too difficult, and the passing percentage is generally high (around 60%).
* Internships: Some students reported that internships are not provided by the college, but students can find them on their own.

Overall, the Faculty of Engineering and Technology seems to be a good choice for students looking for a strong engineering education. With good teaching quality, adequate infrastructure, and a decent placement record, it appears to be a suitable option for aspiring engineers.
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Q:   Question: How is the course curriculum for B.E. / B.Tech at Faculty of Engineering and Technology?

A: 
{Source: B.E. / B.Tech students & alumni}

Structure of the Course Curriculum for B.E./B.Tech

* Updated Syllabus: The syllabus is updated regularly to reflect current industry trends and demands.
* Relevant to Industry Needs: The curriculum is designed to make students industry-ready, providing them with the necessary skills and knowledge to succeed in the workplace.
* Assignments and Projects: Assignments and projects are an integral part of the course, allowing students to apply theoretical knowledge to real-world scenarios.
* Practical Exposure: Many departments offer industrial exposure, giving students hands-on experience in their respective fields.
* Mandatory Projects: Mandatory projects are undertaken in certain semesters, ensuring that students develop practical skills and understand complex concepts.
* Quality of Teaching: Teachers are well-qualified and knowledgeable, making efforts to explain complex concepts in an understandable manner.

Notable Points

* Aerospace Engineering students have a unique advantage with artificial intelligence labs in the 7th semester, unmatched by other colleges in Karnataka.
* Mechanical Engineering students appreciate the emphasis on practical application and hands-on training.
* Software Engineering students benefit from the focus on programming languages and coding techniques.

Placements and Internships

* Various companies visit the campus for recruitment, offering packages ranging from INR2.5 Lacs to INR21 Lacs per annum.
* About 35-70% of students secure placements, depending on the department and performance.
* Internships are available in renowned companies, providing students with valuable industry experience.

Note: These points are summarized from the students' and alumni's reviews provided. The answer focuses on the course curriculum, updates, relevance, and assessments, along with notable points and information on placements and internships.
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Q:   What is the effectiveness of the placement cell for B.E. / B.Tech programs at Faculty of Engineering and Technology?

A: 
{Source: B.E. / B.Tech students & alumni}

Effectiveness of Placement Cell for BE/BTech Programs at Faculty of Engineering and Technology

Based on the reviews and comments provided by students and alumni, here's a summary of the effectiveness of the placement cell:

* Poor Placements: Many students reported that the placement cell did not perform well, with only 20-30% of students getting placed last year.
* Limited Job Opportunities: Most students felt that the companies visiting the campus were limited, and the job offers were not attractive.
* Low Salary Packages: The average salary package offered to students was around 2.50 LPA to 3 LPA, with the highest package reaching 3.20 LPA.
* Startups Dominant: Startups dominated the campus placements, with fewer MNCs participating.
* Placement Cell Not Helpful: Students complained that the placement cell was unhelpful in bringing companies to the campus and providing adequate support.

However, a few positive comments emerged:

* Improving Trend: One student mentioned that the placement trend was improving, with more companies visiting the campus recently.
* Higher Package Offers: Another student mentioned that the highest package offered was 7 LPA, although this may not be representative of the majority of students.

Overall, the feedback suggests that the placement cell at the Faculty of Engineering and Technology requires improvement to increase the number of job opportunities and attract higher salary packages for its students.
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B.Tech. in Artificial Intelligence and Machine Learning
 at 
Faculty of Engineering and Technology 
Entry Requirements

General
OBC
SC
ST
Requirements for 12th gradeUp Arrow Icon
  • 45%
Uni-GAUGEUp Arrow Icon
  • N/A
COMEDK UGETUp Arrow Icon
  • N/A
KCETUp Arrow Icon
  • N/A
RUASATUp Arrow Icon
  • N/A
Other eligibility criteriaUp Arrow Icon

B.Tech. in Artificial Intelligence and Machine Learning
 at 
Faculty of Engineering and Technology 
Admission Process

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Admissions Open! Apply Now

  • Register and Apply

Important Dates

Jan 27 - Aug 30, 2025
Application Start DateOngoing

B.Tech. in Artificial Intelligence and Machine Learning
 at 
Faculty of Engineering and Technology 
Cutoffs

Filter Icon3
GenderDown Arrow Icon
QuotaDown Arrow Icon
CategoryDown Arrow Icon
KCET round-wise cutoff Rank: (General-All India)
Round20202024
130989-
2-19494
COMEDK UGET round-wise cutoff Rank: (General-All India)
Round2021
17286
2-
315272
View Cutoff Details

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Read B.E. / B.Tech reviews from Faculty of Engineering and Technology
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B.Tech. in Artificial Intelligence and Machine Learning
 at 
Faculty of Engineering and Technology 
Students Ratings & Reviews

3.8/5
Verified Icon1 Verified ReviewInfo Icon
Placement Review IconPlacements4
Infrastructure Review IconInfrastructure4
Faculty Review IconFaculty & Course4
Crowd Review IconCampus Life3
Money Review IconValue for Money4
A
Anish Suneja Verified Icon
B.Tech. in Artificial Intelligence and Machine Learning - Batch of 2026
Offered by Faculty of Engineering and Technology, M.S. Ramaiah University of Applied Sciences
3.8
4Placements4Infrastructure4Faculty3Crowd & Campus Life4Value for Money
I am satisfied with this college because it has good placements and good infrastructure.
Placements: Our placement cell is very good. They always try to provide better placements at the best companies. About 40% of students have been placed in campus interviews till now. The highest salary package offered is 8 LPA, the lowest is 3.5 LPA, and the average is 4 LPA to 5 LPA. Top recruiting companies are TCS, Infosys, Capgemini, IBM, Accenture, Ugam Solutions, Hexaware, and many more. Around 20% of students get internships in small companies. Roles offered in our course are data analyst and software engineer.
Infrastructure: We have Wi-Fi facilities with good internet speed. We have 6 labs, and each lab has Wi-Fi, printers, and scanners. There is a server room, which handles all machines present in the 6 labs. Our college also has a library. Our college has a projector facility for presentations, workshops, and seminars. Our college doesn't have a hostel. We have a great canteen.
Faculty: Our faculty members are caring and knowledgeable. They always try to provide us with the best knowledge. They are supportive. Teaching quality is also good. Our curriculum is quite better because we have the basic knowledge of industries, which is covered in our curriculum. Semester exams are also good. The pass percentage is 70% to 80%.
Reviewed on 10 Oct 2022Read More
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B.Tech. in Artificial Intelligence and Machine Learning
 at 
Faculty of Engineering and Technology 

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B.Tech. in Artificial Intelligence and Machine Learning
 at 
Faculty of Engineering and Technology 
Contact Information

Address

#470-P, Peenya Industrial Area, Peenya-IV Phase
Bangalore ( Karnataka)

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