The M.Tech program in Image Processing is an advanced master's degree that delves into the intricate world of visual data analysis and manipulation. Spanning two years and four semesters, this program is designed to equip students with specialized knowledge and practical skills for processing and interpreting images in various applications. The curriculum encompasses a broad range of subjects, including digital image processing techniques, computer vision, pattern recognition, and machine learning applied to images. Students explore both the theoretical foundations and hands-on applications, gaining insights into the algorithms and methodologies used to enhance, analyze, and extract information from images. Specialized courses within the program may cover topics such as medical image processing, remote sensing, and image and video coding. These courses allow students to tailor their learning based on their interests and career goals, offering a versatile understanding of image processing in different domains. A key component of the program is hands-on experience. Students engage in practical projects, laboratory work, and possibly internships, applying their knowledge to real-world scenarios. The coursework often integrates the use of industry-standard software and tools commonly used in image processing applications. The M.Tech Image Processing program underscores the significance of research and development in this dynamic field. Students have opportunities to contribute to ongoing projects, explore innovative approaches, and stay updated on emerging trends and technologies in image processing through seminars, workshops, and interactions with industry professionals. Upon completion of the program, graduates are well-prepared for roles in various industries, including medical imaging, computer vision, multimedia, and remote sensing. The M.Tech Image Processing program serves as a comprehensive platform for students to become experts in extracting valuable information from images, contributing to advancements in technology and visual data analysis.