Master of Technology (M.Tech.) Signal Processing Syllabus 2025: Subjects, Specializations, and Semester-wise Syllabus

The M.Tech in Signal Processing program is designed to provide students with an in-depth understanding of advanced concepts and applications in the field of signal processing. The comprehensive syllabus covers a wide range of topics, including digital signal processing (DSP), image and video processing, speech recognition, pattern recognition, and machine learning for signal analysis. Students will engage in hands-on learning through laboratory work, projects, and research, enabling them to apply theoretical knowledge to real-world signal processing challenges. The program also explores emerging trends in signal processing, such as deep learning and data-driven signal analysis. Additionally, students will develop expertise in signal modelling, algorithm development, and statistical analysis. Throughout the program, there is a strong emphasis on problem-solving, critical thinking, and collaborative teamwork, preparing graduates for careers in various industries, including telecommunications, biomedical engineering, multimedia technology, and more. By the end of this program, students will be well-prepared to contribute to advancements in the dynamic field of signal processing.