Engineering

For Indian students applying for admission, the following admission criteria apply to SIT's B.Tech (AI & ML) program: Qualifications: Candidates must pass a 10+2 exam (or equivalent) in the compulsory subjects Physics and Mathematics. In addition, they had to study one of the following subjects: chemistry, biotechnology, biology or technical professions. At least points: The candidate must achieve a total of at least 45% of the points in the above subjects. However, a minimum of 40% is required for SC/ST candidates. Entrance Exam: To be eligible for admission, applicants must perform well on one of the following entrance exams: SIT Engineering Entrance Exam (SIT EEE), JEE (Major), or any entrance exam. State Government Engineering. foreign students (BIP/PIO/foreigners): International students applying for admission, including NRIs (Non-Resident Indians), PIOs (People of Indian Origin), and foreigners, must meet the following eligibility criteria: Academic Qualifications: Similar to Indian students, international students are required to pass a 10+2 exam (or equivalent) in the compulsory subjects Physics and You must also study one of the following subjects: chemistry, biotechnology, biology or technical professionals. Minimum score : International students must achieve at least a 45% total score in the subjects listed above.A minimum score of 40% is required for candidates in the SC/ST category. Entrance Exam: International students are exempt from taking entrance exams such as the SIT Engineering Entrance Exam (SIT EEE), the JEE (Major) or any government-organized Engineering Entrance Exam in India. Please note that the eligibility criteria listed above are specific to the SIT B.Tech (AI&ML) programme and may differ for other institutions or programs.

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.

Below are the requirments for Master's in Computer Science at Rutgers University

• 3 LOR: Some MS programs ask for a LOR, with particular exceptions. However, Rutger University strictly doesn’t accept Duplicate letters.
• Transcripts and degrees: the applicant must provide the university with transcripts of their academics with degree certificates. Similarly, applying for PhD or doctoral programme may require a master’s degree and transcripts from all graduate institutions of the applicant. 
• Statement of purpose ( an SOP): An SOP is essential for the application process for their application at Rutgers University for MS program. It helps the applicant to convey their talents, Academic excellence accomplishments and personal background of applicants. 
• Entrance exam: Graduate school entrance exams are most common, but the programs might require different exams from the applicants. The most common exam the university excepts from applicants is for MBA/MS.
• English Language Proficiency exams: The following table explains the minimum score of each English exam the university is excepting: