SAII, Pune

B.Sc. (Artificial Intelligence) Honours/ Honours with Research

Specialisation -

• Honours/ Honours with Research
• Health Sciences
• Sports Sciences
• Agriculture
• Data Science
• Cybersecurity

SAII introduces the four-year B.Sc. (Artificial Intelligence) programme under the NEP 2020 framework, crafted to build strong technical expertise, interdisciplinary competence, and real-world AI problem-solving abilities. The curriculum integrates advanced computing, machine learning, domain-specific applications, and research training.

Programme Highlights

• Choice-based framework offering a Major or Major with Specialisation, supplemented with multidisciplinary, ability-enhancement, and skill-enhancement courses.
• Hands-on exposure through AI labs, data engineering activities, domain-based simulations, and research incubators
• Strong focus on internships, innovation challenges, global academic linkages, and community-oriented AI solutions.
• NEP 2020 exit options:
• • Certificate – Year 1
  • Diploma – Year 2
  • UG Degree – Year 3
  • UG Degree with Honours/Research – Year 4
• Re-entry within 3 years and up to 7 years for programme completion.

B.B.A. (Artificial Intelligence) Honours/ Honours with Research

Specialisation -

• Honours/ Honours with Research
• Financial Technologies
• Sports Sciences
• Marketing Technologies
• Technologies for Global Supply Chain
• Human Resource Technologies
• Media and Creative Industries

The B.B.A. (Artificial Intelligence) programme blends management education with advanced AI applications, preparing future business leaders, strategists, analysts, and digital transformation professionals. The curriculum equips learners to interpret data, optimise business operations, and lead technology-driven enterprises.

Programme Highlights

• Strong managerial foundation enriched with AI-driven decision intelligence, analytics, automation, and digital enterprise solutions.

• Choice-based flexible curriculum with Majors, Majors with Specialisation, and multidisciplinary electives.

• Exposure to industry practices through simulations, live case studies, field projects, internships, and start-up incubators.

• NEP 2020 exit options:

  • Certificate – Year 1 (43 credits)
  • Diploma – Year 2 (92 credits)
  • UG Degree – Year 3 (128 credits)
  • UG Degree with Honours/Research – Year 4 (166 credits)

• Flexible re-entry and completion window (up to 7 years).

Learning Methodology

Live Learning

• 32+ hours of interactive, instructor-led sessions per course.
• Hands-on practice supported by real-time case studies, simulations, and problem-solving tasks.
• Live faculty feedback to sharpen understanding and performance.

World-class Learning with Pre-recorded Videos

• Access high-quality, pre-recorded lectures by expert faculty to learn at your own pace.
• Designed for flexible, self-paced advancement without disrupting academic or professional commitments.
• Ideal for revision, reinforcement, and balancing coursework with busy schedules.
• Ensures consistent, world-class learning experiences anytime, anywhere.

Experiential Learning

• Immersive AI learning centres with practical labs, demonstrations, and domain-specific simulations.
• Field visits, industry exposure, tech workshops, and application-driven tasks.
• Mentorship from industry professionals and innovators.

Project-Based Learning

• A semester-long capstone project addressing real-world industry or research challenges.
• Students conceptualise, design, implement, and analyse AI-driven or business-technology solutions.
• Develops critical thinking, creativity, analytical reasoning, and teamwork.

Self-Learning

• Full access to digital learning platforms with modules, videos, assessments, and reading materials.
• Library and e-library access to global journals, eBooks, AI databases, and research content.
• Encourages independent exploration and mastery of topics.

Flexible Learning

• Option for temporary academic breaks based on NEP guidelines.
• Seamless continuation of studies upon re-entry within approved timelines.
• Supports academic flexibility and personal well-being.

Placement Cell

The Placement Cell at SAII connects academic excellence with real-world career opportunities through structured training, technical and soft-skills development, interview preparation, personality enhancement, and networking with industry leaders. Strong linkages with organisations operating in AI, data science, fintech, health tech, cybersecurity, media technology, and allied sectors ensure quality placements and internships.

Profile of Students

SAII cultivates a diverse, inclusive, and multicultural environment with students from varied educational, regional, and professional backgrounds. This diversity enriches classroom discussions, encourages broader perspectives, and builds globally competent graduates.

Career Prospects

B.Sc. (AI) Career Opportunities

• AI Engineer
• Machine Learning Engineer
• Data Scientist / Analyst
• Robotics & IoT Engineer
• Cybersecurity Analyst
• Health Informatics & AI Specialist
• Agricultural AI Modeller
• Research Assistant / Junior Scientist

B.B.A. (AI) Career Opportunities

• Business Analyst
• FinTech Specialist
• HR Analytics Manager
• Supply Chain Analytics Consultant
• Marketing Intelligence Strategist
• Business Intelligence Associate
• Media & Digital Tech Consultant
• Digital Transformation Analyst

SAII additionally fosters entrepreneurship through incubation labs, innovation mentorship, and startup guidance.

General Eligibility (Applicable to All Programmes)

• Open to students from all academic streams – Science, Commerce, and Arts.
• Must have passed Class XII (10+2) or equivalent examination from any recognised Board with the required percentage criteria.
• Programme Nature: Non-residential.

B.Sc. (Artificial Intelligence) – Honours / Honours with Research

Eligibility:

• Passed Standard XII (10+2) or equivalent examination from any recognised Board with a minimum of 50% marks or equivalent grade.
• 45% marks or equivalent grade for Scheduled Caste / Scheduled Tribes candidates.

Honours with Research Requirement:

• Students choosing the Honours with Research track must achieve a minimum CGPA of 7.5 at the end of Semester VI.

Multiple Entry & Exit:

• Eligibility for multiple entries and exits will follow the University’s Lateral Entry Rules under FYUGP (NEP 2020).

Specializations Offered:

• Health Sciences
• Sports Sciences
• Agriculture
• Cybersecurity
• Data Science

B.B.A. (Artificial Intelligence) – Honours / Honours with Research

Eligibility:

• Passed Standard XII (10+2) or equivalent examination from any recognised Board with a minimum of 50% marks or equivalent grade.
• 45% marks or equivalent grade for Scheduled Caste / Scheduled Tribes candidates.

Honours with Research Requirement:

• Students opting for Honours with Research must secure a CGPA of 7.5 or above at the end of Semester VI.

Multiple Entry & Exit:

• Eligibility for multiple entries and exits will be as per the University’s Lateral Entry Rules for FYUG Programmes.

Specializations Offered:

• Financial Technologies
• Marketing Technologies
• Technologies for Global Supply Chain
• Human Resource Technologies
• Media and Creative Industries

International Students

Admissions for International Students are processed through the Symbiosis Centre for International Education (SCIE), Symbiosis International (Deemed University). For detailed eligibility and application procedure, visit https://saii.edu.in/