MIT Academy of Engineering (MITAOE), Alandi, Pune, was established in 1999 under MAEER by the honorable Prof. Dr. Vishwanath D. Karad, Founder and Executive President of MIT Group. The institute offers Seven UG programs (B.Tech & B.Des) and two PG programs (M.Tech). Recently, the UGC has honored the institute with ‘Academic Autonomy’ considering the quality of pedagogical practices, research, faculty and the state-of-the-art infrastructure that meets global standards.
The Savitribai Phule Pune University (SPPU) has honored the institute with the ‘Best Engineering College (Professional Courses) award. The institute has made its mark by excelling in academics and research and it continues to grow as a ‘Centre of Excellence’ in engineering education and research. The NBA Accreditation to all branches, ‘A’ Grade by NAAC and the 2(F) & 12(B) status from the UGC, are the testimony to our pursuit of excellence.

School of Computer Engineering is accredited by NBA and NAAC. Global Excellence in research, teaching, and technology development is the vision of the School. The sustained effort is to produce computing graduates with the potential to design and develop innovative approaches to programming and problem-solving to meet the needs of the knowledge era. School runs Two UG programs (Computer Engineering) and One PG Program, to meet the demand for well-qualified software professionals.
The curriculum of the school is framed by considering the requirements of the industry which will not only inculcate various skills within the learners but impinge related concepts which are necessary in day-to-day life. The learners will learn the latest technology which will develop them industry compatible. School of Computer Engineering & Technology is equipped with modern Laboratories and Software costing more than Rs. 2.5 crore. School is always emphasized to organize seminars, and workshops in emerging technological areas to meet challenges of the knowledge era.

• To provide a platform for the dissemination of original research, innovative contributions, and findings related to the theories, practices, and concepts of machine learning, data science, and Internet of Things (IoT).
• To encourage the presentation of innovative ideas, approaches, developments, and research projects within the scope of emerging technologies and their applicability in various sectors.
• To foster collaboration and networking opportunities among academics, researchers, professionals, and industry practitioners from around the world, facilitating the exchange of knowledge and expertise in the fields of machine learning, data science, and IoT.
• To bridge the gap between diverse fields such as computer science, engineering, data analytics, and more, enabling participants to gain insights into interdisciplinary approaches and techniques.
• To identify and discuss future trends and challenges in emerging technologies, preparing participants to address and adapt to upcoming changes in their respective fields.
• To showcase practical applications and solutions that leverage machine learning, data science, and IoT technologies, demonstrating their impact on solving real-world problems.
• To provide an educational platform for students, researchers, and practitioners to learn about the latest research developments, tools, and technologies in these rapidly evolving fields.