University of Mumbai, Fort, Mumbai-400 032 vc@fort.mu.ac.in22656789, 22650403
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director@giced.mu.ac.in022-69195601
shilpa.borkar@gmail.com
Education is our passport to the future for tomorrow belongs to the people who prepare for it today
The Garware Institute of Career Education and Development (GICED) was founded by the University of Mumbai in 1984 through joint efforts of Padmabhushan Shri Abasaheb Garware and Prof. Ram Joshi then Vice Chancellor of University of Mumbai with a vision of conducting various vocational and career oriented courses.
Teaching Staff Of Garware Institute Of Career Education And Development (GICED) Members
Dr. Aleem Ansari
MRS.KISHORI TELVEKAR
Mrs. Anita Chandrasekhar
SHEKHAR SARTANDEL
Mrs.Kanishka K. Goraksha
Dr. SYED MOHAMMED SALMAN
SHUBHRA NAYAK
Mr. Prakash Khatri
Dr. Nirmala P. Barse
Dr. Sunder Rajdeep
MANJUSHA SUNIL
Dr. Harshada Mulay
Mr. Shekhar V. Chandratre
Mrs. Avanti Desai
Mrs. Namrata Kadu
Mrs. Vasudha K. Surve
Dr. Santosh Rathod
Dr. Atul Rawal
Dr. Suresh Maind
Mr. Chandrashekhar Ramrao More
Mrs. Anuradha Bhotika
Ms. Soudaminee Gavankar
Mr. Mandar Vijay Joshi
Mr. Shashikant Prajapati
Mrs. Deepa Makkad
Advisory Committee Of Garware Institute Of Career Education And Development (GICED) Members
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Admission Procedure Of Garware Institute Of Career Education And Development (GICED)
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4 Years
60
Total Fee- Rs.300700 Semester I- Rs.47520 Semester II- Rs.52050 Semester III- Rs.47250 Semester IV- Rs.52050 Semester V- Rs.49780 Semester VI- Rs.52050
U.G. Certificate in Artificial Intelligence and Machine Learning
HSC in any stream or equivalence. 3 years’ government diploma holders can
take admission directly in 2nd year.
Admissions on the basis of Written Test & Interview. 50% passing marks in the Entrance assessment
U.G. Diploma in Artificial Intelligence and Machine Learning
1. Lateral Entry to be granted to the candidate who has successfully completed U.G. Certificate in Artificial Intelligence and Machine Learning.
2. Lateral Entry to be granted to the candidate who’s Under Graduate Certificate credits are 60% equivalent to U.G. Diploma in Artificial Intelligence and Machine Learning & he/she earns minimum 8 Credits from U.G. Certificate in Artificial Intelligence and Machine Learning.
3. As per NEP criteria on the basis of RPL- Recognition of Prior Learning, Candidate to be admitted to 2nd Year subject to He/she securing minimum 50% in the 1st Year assessment of U.G. Certificate in Artificial Intelligence and Machine Learning.
B.Sc. (Artificial Intelligence and Machine Learning)
1. Lateral Entry to be granted to the candidate who has successfully completed U.G. Diploma in Artificial Intelligence and Machine Learning.
2. Lateral Entry to be granted to the candidate who’s Under Graduate Diploma credits are 60% equivalent to B.Sc. Artificial Intelligence and Machine Learning & he/she earns minimum 8 Credits from U.G. Diploma in Artificial Intelligence and Machine Learning.
3. As per NEP criteria on the basis of RPL- Recognition of Prior Learning, Candidate to be admitted to 3rd Year subject to He/she securing minimum 50% in the 2nd Year assessment of U.G. Diploma in Artificial Intelligence and Machine Learning.
B.Sc.(Hons.) (Artificial Intelligence and Machine Learning)
1. Lateral Entry to be granted to the candidate who has successfully completed B.Sc. Artificial Intelligence and Machine Learning with distinction.
The Skill based training course in the field of B.Sc. program in (A.I. & M. L) with Artificial Intelligence and Machine Learning) for laying a strong foundation by using the principles and technologies that consist of many facets of Artificial Intelligence including logic, knowledge representation, probabilistic models, and Machine Learning.
Students shall be able to acquire the ability to design intelligent solutions for various business problems in a variety of domains and business applications and also Research and development activities in the core and emerging areas of computer science with special focus on Block Chain, IOT, Cloud Computing, Image Processing, natural language processing, IOT, deep learning, computer vision, reasoning and problem-solving. This program is best suited for students seeking to build world-class expertise in Artificial Intelligence and Machine Learning and emerging technologies which help to stand apart in the crowd and grow careers in the upcoming technological era.. This enables students to intelligently experiment and find creative solutions to a plethora of global problems with the cutting-edge combination of machine learning and visualization technologies. This programme develop the skills of creating fastest working apps or solutions integrated with analytical information ensuring 100% accuracy in the output.