Artificial Intelligence

Artificial Intelligence (AI) and Machine Learning (ML) have become breakthrough technologies and play a key role in solving real-world challenges. In our technology-driven society, where digital data is omnipresent, machine learning has become indispensable for current and future applications. The demand for engineers skilled in AI is increasing rapidly in various fields including healthcare, industry 4.0, finance, agriculture, security, legal and environmental management. In light of this need, the Department of Artificial Intelligence and Machine Learning at SIT Pune was established in 2021 with the task of supporting globally competent engineers with knowledge and experience in Artificial Intelligence in the successful implementation of complex projects. Through a partnership with the renowned Symbiosis Center for Applied AI (SCAAI), the department offers B.Tech (AI&ML) and M.Tech (AI&ML) programs designed to provide students with industry-relevant skills, effective communication and a valuable Diploma equip. Extension : In today's ever-changing technology landscape, artificial intelligence and machine learning have become disruptive forces driving innovation and shaping the future. As our society increasingly relies on digital data, mastering machine learning becomes critical to solving complex problems and unlocking new possibilities.The importance of AI expertise spans a wide variety of fields, including healthcare, Industry 4.0, finance, agriculture, security, law, and environmental governance. In view of the growing demand for qualified professionals in these fields, the Department of Artificial Intelligence and Machine Learning was established at SIT Pune in 2021. This visionary faculty is proud to partner with the renowned Symbiosis Center for Applied AI (SCAAI) to offer comprehensive programs designed to equip students with the knowledge and skills to thrive in an AI-driven world. BWith a capacity of 120 students, the Tech (AI&ML) programme provides a solid foundation in concepts, methods and applications in AI and ML. In addition, the M.Tech (AI&ML) program, attended by 30 students each year, offers advanced knowledge and specialised industry training. A degree in Artificial Intelligence and Machine Learning from this prestigious institution is of great value as it prepares students to become relevant industry professionals capable of meeting the changing demands of the AI? environment. In addition to learning technical skills, students also develop essential interpersonal and communication skills that enable them to collaborate effectively and communicate their ideas in a professional context.

At the forefront of academic excellence, Symbiosis International University offers an exceptional four-year, full-time journey into the fields of artificial intelligence and machine learning through its prestigious Bachelor of Technology program. This unique course is the result of a visionary partnership between the dynamic AI and ML department and the revolutionary Symbiosis Center for Applied AI (SCAAI). Aimed at a limited number of 60 aspiring minds, this programme serves as a gateway to exploring the endless possibilities of artificial intelligence and machine learning. Driven by an unwavering commitment to pioneering advancement and inspiring groundbreaking discoveries, the university also offers a distinguished M.Tech programme in artificial intelligence and machine learning.With selective admission of 24 students, this programme embodies a strong commitment to advancing cutting-edge research and education in the amazing field of artificial intelligence. At the heart of this academic oasis is an outstanding faculty made up of brilliant minds and subject matter experts. With their unwavering passion and extensive experience, they offer specialised courses exploring cutting-edge AI technologies. The curriculum includes a fascinating range of electives such as Explainable AI, Generative Adversarial Networks, Multimodal AI and a range of exciting topics that will broaden students' horizons. In addition, the department is proud to collaborate with visionary Tech Mahindra (Makers Lab) and form a cross-border alliance.This alliance not only enriches the academic landscape, but also provides a platform for specialised modules in natural language processing and computer vision. It also opens the door to exciting research projects and internships and allows students to immerse themselves in the exciting field of AI innovation. Embark on this extraordinary academic odyssey, where genius meets opportunity and the pursuit of knowledge meets the frontiers of artificial intelligence and machine learning.

The fee structure for the B.Tech. in Computer Engineering (Artificial Intelligence and Data Science) programme at Poornima University is as follows:

1. Annual Tuition Fees: Rs. 1,55,000
2. Registration Fees (one-time): Rs. 1,500
3. Administrative Fees (annual): Rs. 15,500
4. Caution Money/Security Deposit: Rs. 5,000

It's important to note that these fees are subject to change, and it's recommended to visit the official website of Poornima University or contact the university's admission department for the most up-to-date and accurate information regarding the fee structure for the B.Tech. in Computer Engineering (Artificial Intelligence and Data Science) program.

Yes, for admission into the B.Tech. in Computer Engineering (Artificial Intelligence and Data Science) programme at Poornima University, the minimum eligibility criteria are as follows:

1. The candidate must have completed 10+2 (Intermediate) or its equivalent examination.
2. The candidate should have studied in the Science stream during their 10+2 education.
3. For General category students, the aggregate marks in the qualifying examination should be at least 50%.
4. For SC/ST/OBC/SBC category students, the aggregate marks in the qualifying examination should be above 45%.
5. The qualifying examination must be from a recognised board such as CBSE or its equivalent.

It's important to note that meeting the minimum eligibility criteria is a requirement for applying to the program. However, admission to the B.Tech. in Computer Engineering (Artificial Intelligence and Data Science) programme at Poornima University may also depend on other factors such as the university's selection process, which may include entrance exams, interviews, or merit-based selection.

Prospective students are advised to visit the official website of Poornima University or contact the university's admission department for detailed and up-to-date information on the admission process, eligibility criteria, and any specific requirements for the B.Tech. in Computer Engineering (Artificial Intelligence and Data Science) program.

Yes, Poornima University offers a B.Tech. in Computer Engineering with a specialisation in Artificial Intelligence and Data Science. This programme focuses on providing students with knowledge and skills related to AI, machine learning, programming, and data science.

The collaboration with SAS, a well-known analytics software provider, indicates that the programme may incorporate SAS tools and techniques for data analysis and visualization. This collaboration can provide students with practical exposure to industry-standard tools and enhance their understanding of AI and data Science concepts.

The specialisation in Artificial Intelligence and Data Science prepares students to work with advanced technologies and develop solutions using AI and machine learning algorithms. It covers topics such as data mining, predictive analytics, natural language processing, deep learning, and big data analytics.

By offering this specialization, Poornima University aims to equip students with the necessary knowledge and skills to excel in the field of AI and data science. The programme may also provide opportunities for internships, industry projects, and collaborations with companies to gain practical experience in the field.

It is recommended to visit the official website of Poornima University or contact the university directly for more detailed information about the B.Tech. in Computer Engineering (Artificial Intelligence and Data Science) program, including the specific curriculum, admission requirements, and any additional collaborations or initiatives related to AI and data science.