Program Objectives
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The broad goals and objectives of the B.Sc. (Honours) Artificial Intelligence programme are as follows: (i) To prepares students to developartificial intelligenceapplications. (ii) To develop strong analytical thinking skills and problem-solving abilities that benefit graduates personally and professionally. (iii) To open the door to new and exciting career paths. (iv) To develop purposeful competencies in Artificial Intelligence and Data Science.
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Pedagogy
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Course work delivered through class room teaching, assignments, DIY, group discussions, seminars, research initiatives and capstone projects Evaluations carried out in terms of assignments, topic presentations, tests and TEE, Industry Internship |
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Course Duration
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Four Academic Years |
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Specializations |
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Scope
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Artificial Intelligence is indispensable in this modern age, aptly termed as, "the age of analytics and digitalization”. Artificial Intelligence orAI career opportunitieshave escalated recently due to its surging demands in industries. · Acareer in AIlooks more promising than any other jobs available these days. Employers need AI talent to fulfil the company’s technological requirements. Thus, acareer in AIis not only attracting the job-seekers towards it but is witnessing immense growth. · AbundantAI career opportunitiesat various levels are present owing to wide applications in different fields. A few of these at the entry level are: AI Trainee, AI Researcher, Internee in ML, Business Intelligence Developer, AI Programmer.
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Intake
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Navi Mumbai – 40
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Highlights of program
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· Designed to reflect the aspirations of NEP 2020 · Core, Discipline Specific, Multi-Disciplinary Courses, Ability Enhancement, Skill Enhancement Courses, Practicals, Research and Internship, Core related Modular Electives courses well packaged into the curriculum consisting of 184 credits · A 6-credit early initiation of undergraduate students into the culture of research in Year 2 · A 4-credit capstone AI project in semester 6 and 7 · Optional choice based of modular electives in semester 7 · A 20-credit full semester Industry Internship in semester 8 · Multiple exit options within the programme with appropriate certifications |
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Selection Procedure
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Eligibility
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Candidate must have passed 10 + 2 or equivalent examination from recognized board with Mathematics/ Mathematics & Statistics as compulsory subject with minimum 50% aggregate marks in any stream (Science/Commerce/Arts with Mathematics/ Mathematics & Statistics).
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Admission Criteria: |
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Course Structure
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