| Course | Fees | Duration |
|---|---|---|
| B.Tech | Rs 2,25,000 - 12,00,000 | 4 Years |
| B.Com | Rs 2,25,000 - 7,50,000 | 3 Years |
| BSc | Rs 7,50,000 | 3 Years |
| PhD | Rs 72,000 | 3 Years |
| Course | Entrance Exam Accepted |
|---|---|
| B.Tech | JEE Main |
| BSc | CBSE 12th, Tamilnadu 12th |
PG Fee Structure for 2026 – 2027 - The PG fee structure for 2026–27 is announced with a one-time, non-refundable application fee of Rs. 1,500. M.Tech programs in AI, Data Science, CSE, IT, Power Electronics, VLSI, and Wireless Communication cost Rs. 1,75,000 (Indian), Rs. 2,62,000 (NRI), and Rs. 3,50,000 (Foreign/OCI/PIO). Other M.Tech programs range from Rs. 1,50,000 to Rs. 3,00,000.
M. Tech. in Wireless Communication Technology Program Details - The M.Tech. in Wireless Communication Technology offered by SSN School of Engineering is a two-year postgraduate program designed to nurture engineers with expertise in next-generation communication systems. The program combines strong theoretical foundations with practical skills in wireless communication, signal processing, and intelligent network design. Students benefit from state-of-the-art laboratories, gaining hands-on exposure to real-world technologies and innovations in emerging areas such as 6G, IoT, and AI/ML in communications. The curriculum integrates advanced technical courses with training in critical thinking, communication, and professional development, preparing graduates for impactful careers in industry, academia, and research. Key areas of study include 5G Technologies, Integrated Wireless communications (6G and beyond), Machine learning & Deep learning for wireless communications, and more.
M. Tech. in Medical Electronics Program Overview - The M. Tech. program in Medical Electronics offered by SSN School of Engineering focuses on integrating advanced electronics with intelligent systems for medical applications. The program trains students to design sophisticated medical devices, embedded systems, and AI solutions, enhancing computer-assisted diagnostics and digital therapeutic interventions. It covers biosignal and medical image processing, IoT, machine learning (ML), artificial intelligence (AI), computer vision, and predictive analytics, enabling the development of smart, connected healthcare technologies. Students have access to cutting-edge facilities for medical device design, 3D medical simulation and modelling, and opportunities for collaborative research and publication. The curriculum is aligned with industry leaders and addresses the demand for expertise in IoT-enabled devices, automated diagnostics, and personalized treatments.
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