AI&ML

• Comprehensive Industry Oriented Curriculum: Well-designed curriculum covering the fundamentals and advanced topics in AI and ML (Generative AI, Deep Learning, Natural Language Processing, Computer Vision, etc.)
• Hands-On/ Skills: More emphasis on practical, skills hands-on approach with real-world projects.
• Expert Faculty: Highly qualified and experienced faculty members with expertise in AI and ML, with significant contribution in research and industry sectors.
• State-of-the-Art Labs: Well-equipped AI and ML laboratories with the latest hardware and software resources.
• Interdisciplinary Approach: Collaborations with other departments to promote interdisciplinary learning, such as combining AI/ML with business, healthcare, or engineering, etc.
• Industry Connections: Partnerships with leading tech companies to provide internships, workshops, and guest lectures from industry experts.
• Hackathons and Technical Event: Frequent conduction of technical activities like hackathons, data science competitions, and coding challenges to foster a competitive and collaborative learning environment.
• Networking Opportunities: Through various outreach programs such as Industry and International collaborative events, conferences, and seminars with professionals in AI and ML across the globe.
• Career Services: Dedicated career services to assist students in securing internships and job placements in AI and ML-related fields.
• Research Mentorship for Higher Education: Opportunities for students to engage in AI and ML research projects to cater their scope for pursing higher education.

The field of Artificial Intelligence (AI) and Machine Learning (ML) offers a diverse range of job roles across various industries. Here are some common job roles in this field:

• • Machine Learning Engineer
  • Data Scientist
  • AI Research Scientist
  • AI/ML Research Engineer
  • Computer Vision Engineer
  • Natural Language Processing (NLP) Engineer
  • Data Engineer
  • AI Product Manager
  • Robotics Engineer
  • AI Solutions Architect

These roles often require a combination of skills in and knowledge of artificial intelligence, machine learning frameworks and tools.

* – Only one domain elective will be opted by the students in each semester of the second and third year.

Eligibility Criteria for Indian Nationals:

Passed 10+2 examination with physics and mathematics and one of the subjects from the following

Chemistry /Computer Science / Electronics /Information Technology /Biology/Informatics Practices / Biotechnology / Technical Vocational subject/Agriculture/Engineering Graphics/ Business Studies/ Entrepreneurship and obtained at least 50% marks (at least 45% marks, in case of candidates belonging to reserved category, EWS & PWD candidates belonging to Maharashtra state only) in the above subjects taken together.

OR

2. Should have passed a minimum of 3 years Diploma in Engineering and Technology and obtained at least 50% marks (at least 45% marks, in case of reserved categories, EWS & PWD Students belonging to Maharashtra state only)

(The Universities will offer suitable bridge courses such as Mathematics, Physics, Engineering drawing, etc., for the students coming from diverse backgrounds to prepare a Level playing field and desired learning outcomes of the programme). 2^nd year, in case the vacancies at lateral entry are exhausted.

AND

3. Qualifying score in JEE OR MHT-CET OR any other State level Engineering Entrance Exam OR National-level Engineering Entrance Exam OR Common University Entrance Test (CUET) OR Symbiosis Engineering Entrance Test (SEET) conducted by SSPU OR Symbiosis International (Deemed) University’s SET Score and Candidate also need to appear for a counselling session.
4. Candidates will be selected based on their performance in the entrance test conducted by SSPU.

Eligibility Criteria for NRI / International Students  

1. Passed 10+2 examination with Physics and Mathematics as compulsory subjects along with one of the Chemistry or Biotechnology or Biology or Technical Vocational subject or Computer Science or Information Technology or Informatics Practices or Agriculture or Engineering Graphics or Business Studies or Electronics or Entrepreneurship. Student should have obtained at least 50% marks in the above subjects taken together and must obtain an equivalence certificate from the Association of Indian Universities (AIU).
2. The application format is available on the AIU website link: https://evaluation.aiu.ac.in/Student/EHome
3. All foreign qualifications need to be verified by the AIU by the candidate before seeking provisional admission.
4. To promote international understanding between Indian and Foreign candidates, SSPU has reserved seats for NRIs/International candidates in every division (Supernumerary Quota).
5. Qualifying score in JEE or Symbiosis Engineering Entrance Test (SEET) conducted by SSPU.
6. Candidates will be selected based on the entrance test conducted by SSPU.

Lateral Entry for Second Year

Passed Minimum THREE years / TWO years (Lateral Entry) Diploma examination with at least 50% marks (at least 45% marks, in case of reserved categories, EWS & PWD Students belonging to Maharashtra state only) (Respective Council) in ANY branch of Engineering and Technology.

OR

Passed B.Sc. Degree from a recognized University as defined by UGC, with at least 50% marks (at least 45% marks, in case of reserved categories, EWS & PWD Students belonging to Maharashtra state only) as per guidelines of UGC / AICTE / Respective Council) and passed 10+2 examination with Mathematics as a subject.

OR

Passed B. Voc./3 yrs, D. Voc. Stream in the same or allied sector. (The Universities will offer suitable bridge courses such as Mathematics, Physics, Engineering drawing, etc., for the students coming from diverse backgrounds to achieve desired learning outcomes of the programme) Refer to table 1.10 of Appendix – 1

Note: Lateral Entry admission will be subject to a minimum of 60%

course mapping and/or as per Annexure I.