Artificial Intelligence (AI) and Data Science (DS)
Established in the year 2021, the Department of Artificial Intelligence (AI) and Data Science (DS) has been set up with a goal of training students and conducting research in the fields of Artificial Intelligence & Data Science. The Department consists of highly qualified faculty with Doctoral degrees from the reputed institutes of India. The Department aims to train the student as leaders in AI & DS with world class infrastructure, curriculum and comprehensive hands-on experience through industry connect programs. The goal of the department is to ensure the academic excellence in students with wide exposure of research and career opportunities. The ultimate goal is to nurture the academic excellence, industry exposure and outstanding career opportunities to our students.
AI & DS
Living in the age of information, technological advancements like Graphical Processing Units, Sensors, and Cloud storage have enabled us to capture information efficiently, process quickly and store it in large amounts. These advancements enhanced the applications of Machine learning and Neural Networks to a wide number of fields like Speech Technology, Computer Vision, Natural Language Processing, Robotics etc. The advancements in all these domains together created a transition from information systems into intelligent systems.
Data/ information is a crucial aspect in AI systems, but the applications of data science is not confined to AI systems alone. It is widely used in Business analytics, Sports, and Health care sector. Since Artificial Intelligence and Data Science are interdisciplinary sciences, we at Aditya College of Engineering have set up an exclusive Department for AI & DS in pursuit of research, training and promotion of academic excellence in students.
Vision
To become a Centre of Excellence in the domain of Artificial Intelligence and Data Science for addressing local and global challenges.
Mission
- To impart quality education in the areas of existing and evolving AI & DS techniques.
- To groom students to become technologically superior and ethically stronger.
- To equip students with interdisciplinary skills to solve real-world problems and make them life-long learners.