B.Tech in Computer Science and Engineering (Artificial intelligence and Machine Learning)
3.9 /5- Private Institute
- Estd. 2004
B.Tech in Computer Science and Engineering (Artificial intelligence and Machine Learning) at Gandhi Institute for Technological Advancement Overview
B.Tech in Computer Science and Engineering (Artificial intelligence and Machine Learning)
at Gandhi Institute for Technological Advancement
B.Tech in Computer Science and Engineering (Artificial intelligence and Machine Learning) is a key specialization offered at GITA - Gandhi Institute for Technological Advancement. The B.Tech in Computer Science and Engineering (Artificial intelligence and Machine Learning) is offered for a period of 4 years. The B.Tech in Computer Science and Engineering (Artificial intelligence and Machine Learning) is offered in a Full Time mode and has a total of 120 seats for the academic year 2025. Tabulated below is a brief overview of B.Tech in Computer Science and Engineering (Artificial intelligence and Machine Learning) at GITA - Gandhi Institute for Technological Advancement:
Duration | 4 years |
Course Level | UG Degree |
Mode of Course | Full Time |
Official Website | Go to Website  |
Seat breakup | 360 |
Type of University | Private |
B.Tech in Computer Science and Engineering (Artificial intelligence and Machine Learning)
Table of contents
- Overview
- Student Reviews
- Placements
- Entry Requirements
- Admission Process
- + 1 more item
Video stories
- Courses & Fees
D
Devleena Debgoswami 
B.Tech in Computer Science and Engineering (Artificial intelligence and Machine Learning) - Batch of 2026
5
5Placements5Infrastructure5Faculty5Crowd & Campus Life5Value for Money
It is a good college with good faculty members and proper guidance.
Placements: 90% of students get placed in my course. The highest package is 10 LPA, and the lowest package is 5 LPA. Best companies like Infosys, Capgemini, Cognizant, and Wipro visit the college for placements. 90% of students got internships in TCS. Machine learning and artificial intelligence roles are offered, and we can do many things like research.
Infrastructure: Wi-Fi, labs, AC classrooms, well-proper libraries, and canteens are provided. There is proper hygiene in washrooms and bedrooms. Good quality food is provided. It has good medical facilities. All sports and games are played on our campus. Tennis coach and training are also provided.
Faculty: Teachers are qualified. The teaching quality of faculty members is good. Semester exams are not so difficult. 75% is the pass percentage in our semester. A proper course curriculum is there. Good semester exams are conducted. They provide proper notes, which help students to prepare for exams properly.
Other: I prefer AI ML because, in today's known days, it is demandable. I wish to do some more projects to learn about these courses better way. All events and extracurricular activities are well done. Scholarships are available, and I got my scholarship.
Reviewed on 9 Apr 2025Read More
M
Manabendra Palei
B.Tech in Computer Science and Engineering (Artificial intelligence and Machine Learning) - Batch of 2028
3.6
4Placements4Infrastructure3Faculty4Crowd & Campus Life3Value for Money
GITA- Autonomous college Bhubaneswar.
Placements: Around 50-60% of students from computer science branch are getting placed by college placements. This college is bringing mostly service-based companies like TCS, Infosys, and Wipro. Students are also getting internship opportunities at this college.
Infrastructure: Hostels are good. The food in the hostel mess is average. Total campus including hostels has 5G Wi-Fi. Sports activities are good. Many clubs are available. Multigym is available with a good trainer. Courses are very much industry-relevant as AI is booming. My branch is AIML and career growth in this is good.
Faculty: Teachers are good and they teach in a very good teaching style. They care about every student. Exams are very strict here. The questions are moderate and most are from the class notes even in competitive exams. The questions are from teachers' class notes and are overall good.
Reviewed on 2 Jan 2025Read More
N
Nirmalya Pradhan
B.Tech in Computer Science and Engineering (Artificial intelligence and Machine Learning) - Batch of 2028
3.2
3Placements3Infrastructure3Faculty3Crowd & Campus Life4Value for Money
Review of GITA Autonomous College by 2024 students.
Placements: Around 50%-60% of students are getting placements on campus. The highest salary package offered around 12 LPA-15 LPA, and the average salary package offered was 4 LPA. Many service-based companies are coming, like TCS, Infosys, Wipro, HP, HCL Tech, IBM, and Accenture.
Infrastructure: Academic and course curriculum is very good. All classrooms are air-conditioned with digital boards. Faculty are very friendly and treat students like their own children. Library is excellent, completely air-conditioned, with a good reading atmosphere. Hostel is average.
Faculty: Faculty members are very good, and their teaching style is unique. Exams are strict in terms of invigilation, but the question paper is well-structured and based on the syllabus. Semester exams consist of moderate-level questions. Curriculum is excellent and aligned with industry standards.
Reviewed on 18 Nov 2024Read More
A
Ansh Rajkumar
B.Tech in Computer Science and Engineering (Artificial intelligence and Machine Learning) - Batch of 2027
3.8
3Placements4Infrastructure4Faculty4Crowd & Campus Life4Value for Money
Satisfied with the academics but not with the mess food.
Placements: The average package of our college is about 3.6 LPA; last year the highest package was around 12 LPA and the lowest was 1.4 LPA. Companies like TCS, Infosys, etc. were allotted placements in our college. About 15 percent of students got placement from our college.
Infrastructure: Fully air-conditioned classrooms and labs with required equipment are present with skilled instructors and experienced teachers. Hostel rooms are quite good and well maintained with 24/7 unlimited Wi-Fi support. Hostel food is pretty average but hygienic. Meals are served 3 times a day. A medical room is available for any kind of emergency. Sports ground is there with dedicated basketball, cricket, and volleyball courts.
Faculty: Faculty members are well experienced and very helpful to the students and are always ready to engage with the students in any need. With an industry-ready course curriculum, students are trained here to make them capable of earning. The semester exams are pretty tough as it's an autonomous college and strictly the papers are evaluated.
Other: We all need jobs at the end of the day, and this particular course has a lot of scope as it's new and relevant.
Reviewed on 15 Sep 2024Read More
A
ADAPAKALA MANOJ
B.Tech in Computer Science and Engineering (Artificial intelligence and Machine Learning) - Batch of 2027
3
3Placements2Infrastructure4Faculty3Crowd & Campus Life3Value for Money
Absolutely dissatisfied because the sports facilities were too poor.
Placements: In the present situation, the placements at our college are too bad. The mass recruiter was not approaching the college; Infosys, TCS and Wipro used to come earlier but not now. Around 60% of students are placed on campus. The highest package is 12 LPA.
The average is 4 LPAs.
The top recruiters are Tech Mahindra, HCL, TCS, and Wipro.
There is no chance of getting an internship on campus; students who try off-campus may get one.
Infrastructure: There are AC classrooms and labs, there is no Wi-Fi available for 1st year students and the library is the best part of campus; it contains 10,000+ books, e-journals, a separate novel and magazine section, a college theater and a gym. The sports facility is not that good; there is no scope in sports; not every sport is available here; there is indoor badminton and table tennis. There is a basketball court available but it is full of repairs. When it comes to the rainy season, the ground turns into a pond due to a poor drainage system, which takes months to recover.
Faculty: The qualifications of teachers are most of them Ph.D. holders with 10+ years of experience. They are friendly and cooperative and used to have fun in classes. The classes that are conducted have no free period except the 20-minute break. The PC lab was not good having old modal computers; some of them may not be in working condition. The exam was not that difficult; the questions that were coming in were marked as important in the classes, which makes it easy for the student to prepare. The pass percentage was 33%.
Other: In today's world, artificial intelligence is rapidly growing; if we control it, we can make money easily with simple commands so I chose this. There must be more practical experiences than theoretical ones. There is an annual fest known as Akanksha that will continue for 3 days and the remaining events are small events in which 1st year students are not allowed, like DJ nights. There is a scholarship counter on campus that pushes the latest notifications of scholarships and eligibility. The college conducts many events, like hackathons, debates, coding competitions and many more.
Reviewed on 21 Dec 2023Read More
(1) 1 person found this helpfulView All 8 Reviews
B.Tech in Computer Science and Engineering (Artificial intelligence and Machine Learning) at Gandhi Institute for Technological Advancement Frequently Asked Questions
B.Tech in Computer Science and Engineering (Artificial intelligence and Machine Learning)
at Gandhi Institute for Technological Advancement
Q: What is the admission process at Gandhi Institute for Technological Advancement?
A:
The admission process for various courses offered at GITA differs . To be admitted to GITA, candidates must meet the eligibility criteria set by the college. The college offers over 12 courses (including specialisations) in various streams such as Business and Management Studies, Engineering and IT & Software etc. Candidates can detail detailed admission process below:
STEP 1: Gandhi Institute for Technological Advancement Application Process 2025
Candidates are required to apply online on the official website of the institute.
STEP 2: Selection Rounds
Students will be selected based on registration, entrance exam score and counselling as per respective courses.
STEP 2.1: GITA PhD Admission Selection Criteria
Admission shall be based on the marks secured in the entrance test and interview, subject to the fulfilment of the eligibility criteria and the rules of reservation. Once, the candidates proceed further need to submit the necessary documents. Aspirants are advised to keep ready the following documents for the selection procedure:
- Date of birth (SSC/ matriculation or equivalent certificates)
- Postgraduate Degree/MPhil degree or provisional certificates as applicable
- GATE/NET etc. valid scores, if applicable
Note: The above-listed certificates are to be submitted at the time of interview at GAC, Bhubaneswar
Documents need to be submitted (in original) at the time of admission for verification:
- Postgraduate Degree/MPhil degree or provisional certificates as applicable.
- Marks Statement of the qualifying examination.
- Transfer and Conduct certificate from the Institute where the candidate last studied.
GATE/NET etc. valid scores, if applicable. - Migration certificate.
Date of Birth (SSC/Matriculation or equivalent Certificates). - Integrated community certificate issued by the competent authority in case of SC/ST candidates.
- Medical Certificate from not below the rank of a Civil Surgeon in case of PHC.
- Physical Fitness certificate.
- Service certificate and “No Objection” certificate from the present employer (for part-time candidates only.)
- Deposit of Admission and registration fee for research scholars registration fee (one time): INR 20,000.
- Tuition fee (Annual): INR 30,000.
- Thesis evaluation fee: to be notified at the time of submission of the thesis.
STEP 3: Merit List and Admission Confirmation
Once selection rounds are over, the institute releases a merit list. To allot and confirm the seat candidates are required to pay the application fee at the admission receipt centre.
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Q: What is the fees range for courses offerred by the GITA - Gandhi Institute for Technological Advancement?
A:
The fees range for courses offerred by the GITA - Gandhi Institute for Technological Advancement is around INR 155000 - INR 428000.
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Q: What facilities are there at GITA - Gandhi Institute for Technological Advancement in terms of infrastructure?
A:
GITA - Gandhi Institute for Technological Advancement has been rated 4 on Infrastructure parameter.
GITA - Gandhi Institute for Technological Advancement provide good facilities all around the campus such as Auditorium, Boys Hostel, Cafeteria, Girls Hostel, Gym, Hospital / Medical Facilities, Hostel, Labs, Library, Shuttle Service, Sports Complex, Wi-Fi Campus. GITA - Gandhi Institute for Technological Advancement has also been rated 4.1 for Campuslife.
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Q: Which courses does GITA - Gandhi Institute for Technological Advancement offer?
A:
GITA - Gandhi Institute for Technological Advancement provides programmes including B.E. / B.Tech, MBA/PGDM, MCA, M.E./M.Tech in streams such as Engineering, Business & Management Studies, IT & Software, and are excellent for students to build their careers. The institute has specializations in Chemical Engineering, Computer Science Engineering, Mechanical Engineering, Electrical Engineering, Electronics & Communication Engineering, Civil Engineering, Artificial Intelligence & Machine Learning, Power Engineering, Production Engineering.
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B.Tech in Computer Science and Engineering (Artificial intelligence and Machine Learning) at Gandhi Institute for Technological Advancement Placements
B.Tech in Computer Science and Engineering (Artificial intelligence and Machine Learning)
at Gandhi Institute for Technological Advancement
| Particulars | Statistics (2023) |
|---|---|
| Median Salary | INR 5.75 Lakh |
Top Recruiters for Gandhi Institute for Technological AdvancementCapGemini
Concentrix
Hexaware Technologies
IBM
Infosys
Mind Tree
Quinnox
TCS
Tech Mahindra
Wipro
B.Tech in Computer Science and Engineering (Artificial intelligence and Machine Learning) at Gandhi Institute for Technological Advancement Entry Requirements
B.Tech in Computer Science and Engineering (Artificial intelligence and Machine Learning)
at Gandhi Institute for Technological Advancement
Requirements for 12th grade
- N/A
- Read moreCandidate must have passed 10+2 examination with Physics/ Mathematics / Chemistry/ Computer Science/ Electronics/ Information Technology/ Biology/ Informatics Practices/ Biotechnology/ Technical Vocational subject/ Agriculture/ Engineering Graphics/ Business Studies/ Entrepreneurship from a recognized Institute/ board. To take admission under Odisha State Category (S- Category), Candidates should satisfy either eligibility mentioned below or mentioned in other Eligibility Criteria: Candidate should have passed/ appeared 10+2 examination from any of the recognized institutions in the State of Odisha.
JEE Main
OJEE
Other eligibility criteria
Additionally, Candidate who have passed with minimum 3 years Diploma examination with at least 45% marks (40% marks in case of candidates belonging to reserved category), can also apply, subject to vacancies in the First Year, in case the vacancies at lateral entry are exhausted.
To take admission under Odisha State Category (S- Category), Candidates should satisfy either eligibility mentioned below or mentioned in Requirements for 12th grade Eligibility Criteria:
Parents of the candidate should be natives of Odisha.
OR
Sons/ daughters/ spouses of the employees of Government of Odisha/ Govt. of India / Govt. of Odisha Undertakings / Govt. of India undertakings, serving in the State of Odisha at the time of application.
B.Tech in Computer Science and Engineering (Artificial intelligence and Machine Learning) at Gandhi Institute for Technological Advancement Admission Process
B.Tech in Computer Science and Engineering (Artificial intelligence and Machine Learning)
at Gandhi Institute for Technological Advancement
Important Dates
ALL
OJEE
JEE MAIN
Jan 1 - 8, 2026
JEE Main 2026 City Intimation Slip Session 1Tentative
Jan 7 - 8, 2026
JEE Main 2026 photo verification certificate upload last date (for non-aadhaar candidates)
Jan 20, 2026
JEE Main Admit Card 2026 Session 1Tentative
B.Tech in Computer Science and Engineering (Artificial intelligence and Machine Learning) at Gandhi Institute for Technological Advancement Cutoffs
B.Tech in Computer Science and Engineering (Artificial intelligence and Machine Learning)
at Gandhi Institute for Technological Advancement
3Gender
Quota
Category
OJEE round-wise cutoff Rank: (General-All India)
| Round | 2022 |
|---|---|
| 1 | 828791 |
OJEE round-wise cutoff Rank: (General-Home State)
| Round | 2022 |
|---|---|
| 1 | 1506476 |
OJEE round-wise cutoff Rank: (OBC-All India)
| Round | 2022 |
|---|---|
| 1 | 828791 |
OJEE round-wise cutoff Rank: (OBC-Home State)
| Round | 2022 |
|---|---|
| 1 | 1506476 |
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B.Tech in Computer Science and Engineering (Artificial intelligence and Machine Learning) at Gandhi Institute for Technological Advancement Students also asked
B.Tech in Computer Science and Engineering (Artificial intelligence and Machine Learning)
at Gandhi Institute for Technological Advancement
Q: Does Gandhi Institute for Technological Advancement offer scholarships?
A:
Yes, Gandhi Institute for Technological Advancement offers scholarships to deserving and meritorious students. The institute offers 56 types of scholarships. Students can avail of the scholarship on certain terms and conditions. For more details, students need to visit the official website.
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Q: What specializations do GITA - Gandhi Institute for Technological Advancement offer in their courses?
A:
GITA - Gandhi Institute for Technological Advancement is a good institution for B.E. / B.Tech, MBA/PGDM, MCA, M.E./M.Tech courses, and these programs are delivered by highly experienced faculty. Major specialisation at GITA - Gandhi Institute for Technological Advancement are Chemical Engineering, Computer Science Engineering, Mechanical Engineering, Electrical Engineering, Electronics & Communication Engineering, Civil Engineering, Artificial Intelligence & Machine Learning, Power Engineering, Production Engineering.
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Q: How can I get admission in Gandhi Institute for Technological Advancement?
A:
In order to apply for various courses at Gandhi Institute for Technological Advancement, candidates must meet the eligibility critria set by the institute. Check below the detailed course-wise selection and eligibility criteria set by GITA:
| Course Name | Eligibility | Selection Criteria |
|---|---|---|
| BTech | Class 12 with 45% aggregate or equivalent with Physics and Mathematics as compulsory subjects | JEE Main, OJEE+ Admission Counselling |
| MTech | Bachelor’s Degree (BTech)/MSc in the relevant field from any University of Odisha with 50% aggregate (45% aggregate for SC/ST category) | OJEE + Admission Counselling, CUET-PG, GATE |
| MBA | Bachelor’s Degree examination of a minimum three years duration from any University of Odisha | MAT, XAT, CAT, ATMA, OJEE |
| MCA | Bachelor’s Degree examination of a minimum of three years duration in any stream from any University of Odisha with a 50% aggregate (45% for SC/ST) | OJEE + Admission Counselling |
| PhD | Postgraduate Degree/ MPhil degree or Provisional Certificates as applicable | UGC-NET/UGC-CSIR NET (including JRF)/GATE/ Teacher Fellowship/ MPhil, Entrance Test and Interview |
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B.Tech in Computer Science and Engineering (Artificial intelligence and Machine Learning)
at Gandhi Institute for Technological Advancement
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B.Tech in Computer Science and Engineering (Artificial intelligence and Machine Learning) at Gandhi Institute for Technological Advancement Contact Information
B.Tech in Computer Science and Engineering (Artificial intelligence and Machine Learning)
at Gandhi Institute for Technological Advancement
Address
Gandhi Institute for Technological Advancement
Badaraghunathpur, Madanpur
Bhubaneswar ( Orissa)
Phone
9078083982
(For general query)
8260045010
(For admission query)
Email
gita@gita.edu.in
(For general query)
admission@gita.edu.in
(For admission query)
Go to College Website ->
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