PSG Institute of Technology and Applied Research, or PSG iTech, is a private engineering college in Neelambur, Coimbatore. It was started in 2014 under the PSG group, which is well-known in Tamil Nadu for its strong educational institutions. The college is affiliated with Anna University and approved by AICTE. Its campus is spread near Coimbatore–Avinashi Road, making it easy for students to reach the city while still studying in a calm academic environment.
PSG iTech offers undergraduate and postgraduate programs in engineering, including Computer Science, Artificial Intelligence & Data Science, Civil, Mechanical, Electronics & Communication, and Electrical Engineering. The college has modern classrooms, advanced labs, and industry-linked centres that help students learn practical skills. It also has strong placement support, with companies like Infosys, TCS, Accenture, L&T, Wipro, and Cognizant hiring students regularly.
PSG iTech Highlights 2027
| Particulars | Details |
|---|---|
| Institute Name | PSG iTech |
| Established Year | 2014 |
| Institute Type | Private |
| Location | Coimbatore, Tamil Nadu |
| Recognitions | AICTE |
| Top Courses Offered | B.E |
| Admission Criteria | Entrance and Merit-Based |
| Entrance Exams Accepted | TANCET |
| Top Recruiters | Infosys, TCS, Accenture, L&T, Wipro, and Cognizant |
| Alumni | 2,000+ |
| Official Website | https://psgitech.ac.in/ |
PSG iTech Courses 2027
PSG Institute of Technology and Applied Research, Coimbatore, offers B.E and B.Tech courses. Also, candidates with an aggregate of 45% in 10+2 can apply for admission.
| Course | Specialisation | Eligibility | Duration | Selection Criteria |
|---|---|---|---|---|
| B.E | Computer Science and Engineering, Mechanical Engineering, Civil Engineering | 10+2 in PCM | 4 Years | TNEA |
| B.Tech | AI & Data Science | 12th pass in PCM | 4 Years | TNEA |
| M.E | Structural Engineering, Engineering Design | Bachelor’s degree | 2 Years | TANCET/GATE |
PSG iTech Admissions 2027
Admission to PSG Institute of Technology and Applied Research (PSG iTech) is mainly through Anna University’s counselling process (TNEA). Students who finish 12th grade with Physics, Chemistry, and Mathematics can apply for B.E./B.Tech programs. The selection is done based on 12th marks, and students are allotted seats through counselling. For postgraduate courses like M.E., admission happens through TANCET or GATE scores, followed by the university’s admission procedure.
The application process is fully online, where students need to register, fill in their details, upload documents, and pay the required fee.
Application Process for PSG Institute of Technology and Applied Research, Coimbatore Admission 2027
- Visit the official website of the institute.
- Press the ‘Apply Now’ button at https://psgitech.ac.in/admission-details.
- Fill in the required details, such as name, mobile number, and secured marks, and select the course.
- Submit the application form.
PSG iTech Placement 2026
PSG Institute of Technology and Applied Research, Coimbatore’s 2025 placements are still underway. It offers good placements for students each year. It achieved 200+ offers in 2023-24. Some of its major recruiters include Infosys, TCS, Accenture, L&T, Wipro, and Cognizant.
| Academic Year | Total Offers | Top Recruiters |
|---|---|---|
| 2023-24 | 200+ | Infosys, TCS, Accenture, L&T, Wipro, and Cognizant |
PSG iTech Ranking 2026
PSG Institute of Technology and Applied Research, Coimbatore, was ranked 110th under the ‘B.Tech’ category by the Outlook Rankings 2025.
| Year | Ranking Body | Category | Rank |
|---|---|---|---|
| 2025 | Outlook | B.Tech | #110 |
| 2024 | Outlook | B.Tech | #106 |
PSG iTech Scholarship 2026
PSG Institute of Technology and Applied Research, Coimbatore, offers institute-level and government scholarships, such as the Merit Scholarships.
| Scholarship Name | Eligibility Criteria | Benefits |
|---|---|---|
| PSG Merit Scholarship | • 95%+ in Class 12 (for UG) • 90%+ in Diploma (for Lateral Entry) | 25-50% tuition fee waiver |
| Tamil Nadu Government Scholarship | • TN domicile (SC/ST/OBC) • Family income < INR 2.5 lakh | Full tuition fee |
PSG iTech Facilities
PSG Institute of Technology and Applied Research, Coimbatore, offers various campus facilities, such as classrooms, a library, canteens, labs and a medical care centre.
- Classrooms & Labs – Modern digital classrooms, smart boards, and fully equipped engineering labs for all departments.
- Central Library – A large library with technical books, journals, e-resources, and a digital learning zone.
- Hostels – Comfortable hostels with Wi-Fi, clean rooms, indoor games, study halls, and mess facilities.
- Sports & Recreation – Grounds for cricket, football, volleyball, basketball, indoor shuttle courts, and gym facilities.
- Transport – College buses connect major parts of Coimbatore and nearby towns.
- Cafeteria – Hygienic food options with South Indian and North Indian meals available.
- Innovation & Research Centres – Special labs for AI, robotics, and other modern technologies to promote student projects and start-ups.
- Medical Care – On-campus health centre with doctors and tie-ups with nearby hospitals for emergency support.
PSG iTech Faculty
PSG Institute of Technology and Applied Research, Coimbatore, has the best faculty. Candidates have to check the detailed faculty of the PSG iTech, as mentioned below:
| Name | Designation | Specialization |
|---|---|---|
| Dr. B. Gomathy | Professor & HOD (i/c) | Data Analytics |
| Dr. R. Manimegalai | Professor | Distributed Computing, VLSI Algorithms, IoT and Security |
| Dr. S. Kalarani | Professor | Cloud Computing, Deep Learning |
| Dr. I. Kala | Associate Professor | Mobile AdHoc Network, Database Management System |
| Dr. M. N. Kavitha | Assistant Professor (Selection Grade) | Machine Learning, Deep Learning, Operating System |
| Dr. A. Sunitha Nandhini | Assistant Professor (Selection Grade) | Artificial Intelligence, Internet of Things |
| Ms. M. Kirubadevi | Assistant Professor (Selection Grade) | Software Engineering |
| Dr. M. Sangeetha | Assistant Professor (Selection Grade) | Deep Learning, Graph Neural Networks |
| Ms. P. Jeevitha | Assistant Professor (Selection Grade) | Machine Learning |
| Ms. P. Shanmugapriya | Assistant Professor (Selection Grade) | DBMS, Machine Learning, Deep Learning |
| Lt. V. Vilasini | Assistant Professor (Selection Grade) | Data Science and Data Analytics |
| Mr. C. P. Shabariram | Assistant Professor (Selection Grade) | Cloud and Edge Computing |
| Dr. S. Vaishnavi | Assistant Professor (Senior Grade) | Data Science, Machine Learning |