The B.B.A. (Artificial Intelligence) - Honours/ Honours with Research program at Symbiosis Artificial Intelligence Institute (SAII साई) is designed to bridge the gap between business strategy and cutting-edge AI technologies. This interdisciplinary program equips students with a solid foundation in business management while introducing them to the core concepts of artificial intelligence, machine learning, data analytics, and digital transformation. With a practical, industry- oriented curriculum, students learn to harness AI tools to solve business problems, optimize operations, and make data-driven decisions.
Graduates of this program are prepared for future-ready roles such as AI Business Analyst, Product Manager (AI platforms), Digital Strategy Consultant, or Business Intelligence Specialist across sectors like IT, finance, retail, e-commerce, and healthcare. The BBA-AI degree also enables students to pursue advanced studies in AI, business analytics, or technology management. By combining managerial skills with technical fluency, the program nurtures versatile professionals who can lead AI-driven innovation in modern enterprises.
The B.B.A. (Artificial Intelligence) Honours/ Honours with Research at SAII is structured in alignment with the National Education Policy (NEP) 2020, offering a flexible exit framework that empowers students to earn progressive academic qualifications. Learners can exit with a Certificate, Diploma, or full B.B.A degree, with an option to advance to a fourth year for an Honours or Honours with Research degree. This ensures each academic milestone offers value—whether students enter the workforce early or pursue deeper specialization in AI-powered business innovation.
| Year | Credits Earned | Award / Qualification | Additional Requirement |
|---|---|---|---|
| Year 1 (End of Sem 2) |
43 Credits | Certificate in Artificial Intelligence | Completion of 4-credit vocational course during summer term |
| Year 2 (End of Sem 4) |
92 Credits | Diploma in Artificial Intelligence | Completion of 4-credit vocational course during summer term |
| Year 3 (End of Sem 6) |
128 Credits | B.B.A. (Artificial Intelligence) - Honours/ Honours with Research | - |
| Year 4 (End of Sem 8) |
166 Credits | B.B.A. (Artificial Intelligence) - Honours/ Honours with Research | Based on chosen track: Capstone Project (Honours) or Research Project (Honours with Research) |
| Sr. No. | Specialization | Focus Area | Value Delivered |
|---|---|---|---|
| 1. | Financial Technologies | Applying AI in financial services, including fraud detection, robo-advisory, and algorithmic trading. | Equips students to work in fintech roles, banking innovation, and AI-powered investment platforms. |
| 2. | Marketing Technologies | Using AI to personalize marketing strategies, optimize campaigns, and analyze consumer behavior. | Prepares graduates for careers in digital marketing, market research, and customer intelligence. |
| 3. | Technologies for Global Supply Chain | Leveraging AI for process automation, supply chain analytics, and operational efficiency. | Trains professionals in AI-enabled logistics, service delivery, and operational systems. |
| 4. | Human Resource Technologies | Utilizing AI for talent analytics, recruitment automation, and employee engagement tools. | Builds capabilities for HR tech leadership roles focusing on workforce intelligence and people analytics. |
| 5. | Media and Creative Industries | Applying AI in digital content creation, design, animation, and audience engagement. | Prepares students for roles in creative media, advertising, digital entertainment, and UX design. |
| Sr. No. | Specialization | Focus Area | Value Delivered |
|---|---|---|---|
| 1. | Health Sciences | Utilizing AI for diagnostics, patient monitoring, and healthcare decision support systems. | Equips graduates to contribute to AI-enabled healthcare solutions & medical innovation. |
| 2. | Sports Sciences | Leveraging AI to enhance athletic performance, injury prediction, and sports analytics. | Develops professionals who can apply AI in coaching, fitness technology, and sports management. |
| 3. | Agriculture | Integrating AI for precision farming, crop monitoring, and sustainable agricultural practices. | Trains students in agri-tech innovation, supporting food security and environmental sustainability. |
| 4. | Data Science | Harnessing AI for data interpretation, visualization, & predictive modeling across sectors. | Builds core competencies in data-driven decision-making & AI analytics for diverse domains. |
| 5. | Cybersecurity | Securing AI systems and data through advanced cyber defense techniques | Equips graduates to design secure AI applications and mitigate emerging cyber threats. |
To prepare future-ready business leaders equipped with AI-powered decision-making and digital transformation skills. The program blends business knowledge with emerging technologies across finance, marketing, HR, supply chain, and media. It nurtures innovation, critical thinking, and entrepreneurial spirit to drive responsible tech-enabled business practices in a global context.
PO1: To Demonstrate an understanding of core principles and theories in management and artificial intelligence.
PO2: To apply core principles of artificial intelligence in business domains such as Finance, Marketing, HR, Media & Creative Industries that enhance organizational decision-making and innovation.
PO3: To evaluate the ethical, legal implications of AI systems in business contexts ensuring compliance with national, organizational and sustainability principles.
PO4: To demonstrate effective leadership, collaboration and communication skills in multicultural and multidisciplinary environments to address global business challenges through AI-enabled solutions.
PO5: To design AI based solutions to address complex real time challenges aligning with organizational goals.
PSO1: Implement AI technologies to optimize processes in specialized business areas such as financial analytics, digital marketing, supply chain automation, and HR analytics, driving efficiency and strategic growth.
PSO2: Lead and manage projects that embed ethical AI frameworks into business operations, ensuring alignment with global standards, regulatory compliance, and community welfare.
PSO3: Develop scalable AI based solutions that address sector-specific challenges (e.g., healthcare, education, governance) through collaboration with industry, academia, and policymakers.
48 (Full Time) With Multiple Entry and Multiple Exit Option
Personal Interaction (PI)
English
Semester
The courses will have 60% Continuous Assessment and 40% Term End [University] examination however, some courses (not more than 30% of the total programme credits) may have 100% Continuous Assessment..
The assessment of the student for each examination is done based on relative performance. Maximum Grade Point (GP) is 10 corresponding to O (outstanding). For all courses, a student is required to pass both Continuous Assessment and Term End examinations separately with a minimum Grade Point of 4 corresponding to Grade P. Students securing less than 40% marks in any head of passing will be declared FAIL. The University awards a Certificate/Diploma/ Degree to the student who has achieved a minimum CGPA of 4 out of a maximum of 10 CGPA for the Programme.
| Catalog Course Code | Course Code | Course Title | Major/ Minor | Teaching Scheme (Hours Per Week) | Credits | Examination Scheme (Marks) | Total Marks | ||||
|---|---|---|---|---|---|---|---|---|---|---|---|
| Lectures | Lab | Practical | Theory | ||||||||
| CA | ESE | CA | ESE | ||||||||
| Semester: I | |||||||||||
| Discipline-Specific Course/s / Major Course/s | |||||||||||
| T3851 | 0304220101 | Foundational Mathematics for AI | 4 | 0 | 4 | 0 | 0 | 60 | 40 | 100 | |
| T2113 | 0304220102 | Fundamentals of Marketing | 2 | 0 | 2 | 0 | 0 | 30 | 20 | 50 | |
| T3846 | 0304220103 | Database Management System with SQL | 3 | 2 | 4 | 25 | 0 | 45 | 30 | 100 | |
| T3853 | 0304220104 | Introduction to AI and Data Processing | 0 | 4 | 2 | 30 | 20 | 0 | 0 | 50 | |
| T2560 | 0304220105 | Principles and Practices of Management | 2 | 0 | 2 | 0 | 0 | 30 | 20 | 50 | |
| Total | 14 | 55 | 20 | 165 | 110 | 350 | |||||
| Ability Enhancement Course/s | |||||||||||
| TM2314 | 0304220106 | Business Communication | 3 | 0 | 3 | 0 | 0 | 45 | 30 | 75 | |
| Total | 3 | 0 | 0 | 45 | 30 | 75 | |||||
| Skill Enhancement Course/s | |||||||||||
| T3856 | 0304220107 | Python Programming | 1 | 4 | 3 | 50 | 0 | 25 | 0 | 75 | |
| Total | 3 | 50 | 0 | 25 | 0 | 75 | |||||
| Common Value-Added Course/s | |||||||||||
| THM6144 | 0304220108 | Indian Knowledge Systems | 2 | 0 | 2 | 0 | 0 | 50 | 0 | 50 | |
| Total | 2 | 0 | 0 | 50 | 0 | 50 | |||||
| Grand Total | 22 | 105 | 20 | 285 | 140 | 550 | |||||
| Catalog Course Code | Course Code | Course Title | Major/ Minor | Teaching Scheme (Hours Per Week) | Credits | Examination Scheme (Marks) | Total Marks | ||||
|---|---|---|---|---|---|---|---|---|---|---|---|
| Lectures | Lab | Practical | Theory | ||||||||
| CA | ESE | CA | ESE | ||||||||
| Semester: II | |||||||||||
| Discipline-Specific Course/s / Major Course/s | |||||||||||
| T3858 | 0304220201 | Statistics for Data Science | 2 | 0 | 2 | 0 | 0 | 30 | 20 | 50 | |
| T2003 | 0304220202 | Financial Accounting | 2 | 0 | 2 | 0 | 0 | 30 | 20 | 50 | |
| T3850 | 0304220203 | Data Visualization | 0 | 4 | 2 | 30 | 20 | 0 | 0 | 50 | |
| T3855 | 0304220204 | Machine Learning and Deep Learning | 3 | 2 | 4 | 15 | 10 | 45 | 30 | 100 | |
| Total | 10 | 45 | 30 | 105 | 70 | 250 | |||||
| Ability Enhancement Course/s | |||||||||||
| T6755 | 0304220205 | English (Communication Skills) | 3 | 0 | 3 | 0 | 0 | 75 | 0 | 75 | |
| Total | 3 | 0 | 0 | 75 | 0 | 75 | |||||
| Skill Enhancement Course/s | |||||||||||
| T3848 | 0304220206 | Data Analytics using MS-Excel | 1 | 4 | 3 | 30 | 20 | 25 | 0 | 75 | |
| Total | 3 | 30 | 20 | 25 | 0 | 75 | |||||
| Common Value-Added Course/s | |||||||||||
| THM6208 | 0304220207 | Creative and Critical Thinking | 2 | 0 | 2 | 0 | 0 | 50 | 0 | 50 | |
| Total | 2 | 0 | 0 | 50 | 0 | 50 | |||||
| Mandatory Non-Credit Course/s | |||||||||||
| TH4788 | Health and Wellness Module I # | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | ||
| Total | 0 | 0 | 0 | 0 | 0 | 0 | |||||
|
Multi-disciplinary Course/s (Choose Any One Course from the University Basket of Multidisciplinary Courses) |
|||||||||||
|
The list of Multidisciplinary courses offered will be updated every semester.
The list will be shared on the MDC Registration Portal before the commencement
of each semester, and students may choose a course of their choice. You can download the list on eduwiz portal. |
|||||||||||
| - | - | MD1 | 0 | 0 | 3 | 0 | 0 | 75 | 0 | 75 | |
| Total | 3 | 0 | 0 | 75 | 0 | 75 | |||||
|
Vocational Course/s (Only for students who wish to exit after the First Year with a Certificate) |
|||||||||||
| T3847 | 0304220208 | Applied Natural Language Processing | 4 | 0 | 4 | 0 | 0 | 100 | 0 | 100 | |
| Grand Total | 21 | 75 | 50 | 330 | 70 | 525 | |||||
| Note: Students exiting at the end of the second semester and earning 43 credits will be awarded a "Certificate in Business Administration (Artificial Intelligence)," provided they successfully complete the additional 4 credits of vocational course offered during the summer term. | |||||||||||
| Catalog Course Code | Course Code | Course Title | Major/ Minor | Teaching Scheme (Hours Per Week) | Credits | Examination Scheme (Marks) | Total Marks | ||||
|---|---|---|---|---|---|---|---|---|---|---|---|
| Lectures | Lab | Practical | Theory | ||||||||
| CA | ESE | CA | ESE | ||||||||
| Semester : III | |||||||||||
| Discipline-Specific Course/s / Major Course/s | |||||||||||
| P5483 | 0304220301 | Natural Language Processing | 3 | 0 | 3 | 0 | 0 | 45 | 30 | 75 | |
| Total | 3 | 0 | 0 | 45 | 30 | 75 | |||||
| Major Course/s (Choose any one Group) | |||||||||||
| Group 1 (Financial Technologies) | |||||||||||
| P5484 | 0304220302 | Introduction to Financial Markets and Economics | Financial Technologies | 4 | 0 | 4 | 0 | 0 | 60 | 40 | 100 |
| P5486 | 0304220303 | Business Analysis and Modelling | Financial Technologies | 3 | 2 | 4 | 15 | 10 | 45 | 30 | 100 |
| Group 2 (Marketing Technologies) | |||||||||||
| P5487 | 0304220304 | Foundations of Marketing Technology | Marketing Technologies | 4 | 0 | 4 | 0 | 0 | 60 | 40 | 100 |
| P5489 | 0304220305 | Data-Driven Marketing Analytics | Marketing Technologies | 3 | 2 | 4 | 15 | 10 | 45 | 30 | 100 |
| Group 3 (Technologies for Global Supply Chain) | |||||||||||
| P5490 | 0304220306 | Operations Management | Technologies for Global Supply Chain | 4 | 0 | 4 | 0 | 0 | 60 | 40 | 100 |
| TM2329 | 0304220307 | Supply Chain Management | Technologies for Global Supply Chain | 3 | 2 | 4 | 15 | 10 | 45 | 30 | 100 |
| Group 4 (HR Technologies) | |||||||||||
| P5491 | 0304220308 | Organization Behavior and Human Resource Management | HR Technologies | 4 | 0 | 4 | 0 | 0 | 60 | 40 | 100 |
| P5492 | 0304220309 | HR Analytics & Balance Score Card | HR Technologies | 3 | 2 | 4 | 15 | 10 | 45 | 30 | 100 |
| Group 5 (Media & Creative Industries) | |||||||||||
| P5494 | 0304220310 | Introduction to Media and AI | Media and Creative Industries | 3 | 2 | 4 | 15 | 10 | 45 | 30 | 100 |
| P5495 | 0304220311 | Design Principles and AI | Media and Creative Industries | 4 | 0 | 4 | 0 | 0 | 60 | 40 | 100 |
| Total Required Credits | 8 | 15 | 10 | 105 | 70 | 200 | |||||
| Minor Course/s (Choose any one group other than the chosen Major) | |||||||||||
| Group 1 (Financial Technologies) | |||||||||||
| P5484 | 0304220302 | Introduction to Financial Markets and Economics | Financial Technologies | 4 | 0 | 4 | 0 | 0 | 60 | 40 | 100 |
| P5486 | 0304220303 | Business Analysis and Modelling | Financial Technologies | 3 | 2 | 4 | 15 | 10 | 45 | 30 | 100 |
| Group 2 (Marketing Technologies) | |||||||||||
| P5487 | 0304220304 | Foundations of Marketing Technology | Marketing Technologies | 4 | 0 | 4 | 0 | 0 | 60 | 40 | 100 |
| P5489 | 0304220305 | Data-Driven Marketing Analytics | Marketing Technologies | 3 | 2 | 4 | 15 | 10 | 45 | 30 | 100 |
| Group 3 (Technologies for Global Supply Chain) | |||||||||||
| P5490 | 0304220306 | Operations Management | Technologies for Global Supply Chain | 4 | 0 | 4 | 0 | 0 | 60 | 40 | 100 |
| TM2329 | 0304220307 | Supply Chain Management | Technologies for Global Supply Chain | 3 | 2 | 4 | 15 | 10 | 45 | 30 | 100 |
| Group 4 (HR Technologies) | |||||||||||
| P5491 | 0304220308 | Organization Behavior and Human Resource Management | HR Technologies | 4 | 0 | 4 | 0 | 0 | 60 | 40 | 100 |
| P5492 | 0304220309 | HR Analytics & Balance Score Card | HR Technologies | 3 | 2 | 4 | 15 | 10 | 45 | 30 | 100 |
| Group 5 (Media & Creative Industries) | |||||||||||
| P5494 | 0304220310 | Introduction to Media and AI | Media and Creative Industries | 3 | 2 | 4 | 15 | 10 | 45 | 30 | 100 |
| P5495 | 0304220311 | Design Principles and AI | Media and Creative Industries | 4 | 0 | 4 | 0 | 0 | 60 | 40 | 100 |
| Common Value-Added Courses | |||||||||||
| P5542 | 0304220312 | Introduction to Environment and Sustainability | 2 | 0 | 2 | 0 | 0 | 50 | 0 | 50 | |
| Total | 2 | 0 | 0 | 50 | 0 | 50 | |||||
| Mandatory Non credit course/s | |||||||||||
| TH4789 | Health and Wellness Module II | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | ||
| Grand Total | 21 | 30 | 20 | 305 | 170 | 525 | |||||
| Catalog Course Code | Course Code | Course Title | Major/ Minor | Teaching Scheme (Hours Per Week) | Credits | Examination Scheme (Marks) | Total Marks | ||||
|---|---|---|---|---|---|---|---|---|---|---|---|
| Lectures | Lab | Practical | Theory | ||||||||
| CA | ESE | CA | ESE | ||||||||
| Semester : IV | |||||||||||
| Major Course/s (Choose any one Group) | |||||||||||
| Group 1 (Financial Technologies) | |||||||||||
| P5497 | 0304220401 | Data Driven Banking Insurance and Finance | Financial Technologies | 3 | 2 | 4 | 15 | 10 | 45 | 30 | 100 |
| P5554 | 0304220402 | Digital Payment Systems | Financial Technologies | 4 | 0 | 4 | 0 | 0 | 60 | 40 | 100 |
| Group 2 (Marketing Technologies) | |||||||||||
| P5498 | 0304220403 | AI Applications in Marketing | Marketing Technologies | 3 | 2 | 4 | 15 | 10 | 45 | 30 | 100 |
| P5499 | 0304220404 | Digital Advertising & Programmatic Marketing | Marketing Technologies | 4 | 0 | 4 | 0 | 0 | 60 | 40 | 100 |
| Group 3 (Technologies for Global Supply Chain) | |||||||||||
| P5500 | 0304220405 | Supply Chain Analytics | Technologies for Global Supply Chain | 3 | 2 | 4 | 15 | 10 | 45 | 30 | 100 |
| P5501 | 0304220406 | International Trade and Logistics | Technologies for Global Supply Chain | 4 | 0 | 4 | 0 | 0 | 60 | 40 | 100 |
| Group 4 (HR Technologies) | |||||||||||
| P5502 | 0304220407 | People Analytics and Workforce Intelligence | HR Technologies | 3 | 2 | 4 | 15 | 10 | 45 | 30 | 100 |
| P5503 | 0304220408 | AI Driven Recruitment and Talent Acquisition | HR Technologies | 4 | 0 | 4 | 0 | 0 | 60 | 40 | 100 |
| Group 5 (Media & Creative Industries) | |||||||||||
| P5504 | 0304220409 | Scriptwriting and Storytelling with AI | Media and Creative Industries | 4 | 0 | 4 | 0 | 0 | 60 | 40 | 100 |
| P5505 | 0304220410 | AI & the Future of Advertising, Branding and Public Relations | Media and Creative Industries | 3 | 2 | 4 | 15 | 10 | 45 | 30 | 100 |
| Total Required Credits | 8 | 15 | 10 | 105 | 70 | 200 | |||||
| Discipline-Specific Course/s / Minor Course/s | |||||||||||
| TB000 | 0304220411 | Service Learning | 0 | 4 | 2 | 50 | 0 | 0 | 0 | 50 | |
| Total | 2 | 50 | 0 | 0 | 0 | 50 | |||||
| Minor Course/s (Choose any one group other than the chosen Major) | |||||||||||
| Group 1 (Financial Technologies) | |||||||||||
| P5497 | 0304220401 | Data Driven Banking Insurance and Finance | Financial Technologies | 3 | 2 | 4 | 15 | 10 | 45 | 30 | 100 |
| P5554 | 0304220402 | Digital Payment Systems | Financial Technologies | 4 | 0 | 4 | 0 | 0 | 60 | 40 | 100 |
| Group 2 (Marketing Technologies) | |||||||||||
| P5498 | 0304220403 | AI Applications in Marketing | Marketing Technologies | 3 | 2 | 4 | 15 | 10 | 45 | 30 | 100 |
| P5499 | 0304220404 | Digital Advertising & Programmatic Marketing | Marketing Technologies | 4 | 0 | 4 | 0 | 0 | 60 | 40 | 100 |
| Group 3 (Technologies for Global Supply Chain) | |||||||||||
| P5500 | 0304220405 | Supply Chain Analytics | Technologies for Global Supply Chain | 3 | 2 | 4 | 15 | 10 | 45 | 30 | 100 |
| P5501 | 0304220406 | International Trade and Logistics | Technologies for Global Supply Chain | 4 | 0 | 4 | 0 | 0 | 60 | 40 | 100 |
| Group 4 (HR Technologies) | |||||||||||
| P5502 | 0304220407 | People Analytics and Workforce Intelligence | HR Technologies | 3 | 2 | 4 | 15 | 10 | 45 | 30 | 100 |
| P5503 | 0304220408 | AI Driven Recruitment and Talent Acquisition | HR Technologies | 4 | 0 | 4 | 0 | 0 | 60 | 40 | 100 |
| Group 5 (Media & Creative Industries) | |||||||||||
| P5504 | 0304220409 | Scriptwriting and Storytelling with AI | Media and Creative Industries | 4 | 0 | 4 | 0 | 0 | 60 | 40 | 100 |
| P5505 | 0304220410 | AI & the Future of Advertising, Branding and Public Relations | Media and Creative Industries | 3 | 2 | 4 | 15 | 10 | 45 | 30 | 100 |
| Total Required Credits | 8 | 15 | 10 | 105 | 70 | 200 | |||||
| Skill Enhancement Course/s | |||||||||||
| P5506 | 0304220412 | AI Tools and Prompt Engineering | 2 | 0 | 2 | 0 | 0 | 50 | 0 | 50 | |
| Total | 2 | 0 | 0 | 50 | 0 | 50 | |||||
| Mandatory Non-Credit Course/s | |||||||||||
| SMC001 | 0304220413 | Vasudhaiva Kutumbakam* | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | |
| Total | 0 | 0 | 0 | 0 | 0 | 0 | |||||
|
Multi-disciplinary Course/s (Choose Any One Course from the University Basket of Multidisciplinary Courses) |
|||||||||||
|
The list of Multidisciplinary courses offered will be updated every semester.
The list will be shared on the MDC Registration Portal before the commencement
of each semester, and students may choose a course of their choice. You can download the list on eduwiz portal. |
|||||||||||
| - | - | MD2 | 0 | 0 | 3 | 0 | 0 | 75 | 0 | 75 | |
| Total | 3 | 0 | 0 | 75 | 0 | 75 | |||||
|
Vocational Course/s (Only for students who wish to exit after the Second Year with a Diploma) |
|||||||||||
| P5556 | 0304220414 | LLM Essential | 3 | 2 | 4 | 15 | 10 | 45 | 30 | 100 | |
| Grand Total | 23 | 80 | 20 | 335 | 140 | 575 | |||||
| Note: Students exiting at the end of the fourth semester and earning 87 credits will be awarded a "Diploma in Business Administration (Artificial Intelligence)," provided they successfully complete the additional 4 credits of vocational courses offered during the summer term. | |||||||||||
| Catalog Course Code | Course Code | Course Title | Major/ Minor | Teaching Scheme (Hours Per Week) | Credits | Examination Scheme (Marks) | Total Marks | ||||
|---|---|---|---|---|---|---|---|---|---|---|---|
| Lectures | Lab | Practical | Theory | ||||||||
| CA | ESE | CA | ESE | ||||||||
| Semester : V | |||||||||||
| Discipline-Specific Course/s / Major Course/s | |||||||||||
| T3802 | 0304220501 | Project | 0 | 4 | 2 | 30 | 20 | 0 | 0 | 50 | |
| Total | 2 | 30 | 20 | 0 | 0 | 50 | |||||
| Major Course/s (Choose any one Group) | |||||||||||
| Group 1 (Financial Technologies) | |||||||||||
| TM2237 | 0304220502 | Financial Analytics | Financial Technologies | 3 | 2 | 4 | 15 | 10 | 45 | 30 | 100 |
| P5508 | 0304220503 | Fintech Framework and Governance | Financial Technologies | 4 | 0 | 4 | 0 | 0 | 60 | 40 | 100 |
| P5559 | 0304220504 | Financial and Systemic Fraud | Financial Technologies | 4 | 0 | 4 | 0 | 0 | 60 | 40 | 100 |
| Group 2 (Marketing Technologies) | |||||||||||
| P5509 | 0304220505 | Social Media and Influencer Marketing Technologies | Marketing Technologies | 3 | 2 | 4 | 15 | 10 | 45 | 30 | 100 |
| P5510 | 0304220506 | E-Commerce and Retail Technologies | Marketing Technologies | 4 | 0 | 4 | 0 | 0 | 60 | 40 | 100 |
| P5511 | 0304220507 | Content Strategy and SEO with AI | Marketing Technologies | 4 | 0 | 4 | 0 | 0 | 60 | 40 | 100 |
| Group 3 (Technologies for Global Supply Chain) | |||||||||||
| P5512 | 0304220508 | AI for Logistics Optimization | Technologies for Global Supply Chain | 3 | 2 | 4 | 15 | 10 | 45 | 30 | 100 |
| P5513 | 0304220509 | Managing Digital Transformation | Technologies for Global Supply Chain | 4 | 0 | 4 | 0 | 0 | 60 | 40 | 100 |
| P5514 | 0304220510 | Sustainable Supply Chain with AI | Technologies for Global Supply Chain | 4 | 0 | 4 | 0 | 0 | 60 | 40 | 100 |
| Group 4 (HR Technologies) | |||||||||||
| P5515 | 0304220511 | AI in Performance and Employee Experience Management | HR Technologies | 3 | 2 | 4 | 15 | 10 | 45 | 30 | 100 |
| P5516 | 0304220512 | Diversity Equity and Inclusion | HR Technologies | 4 | 0 | 4 | 0 | 0 | 60 | 40 | 100 |
| P5517 | 0304220513 | AI-Driven Compensation and Benefits Analytics | HR Technologies | 4 | 0 | 4 | 0 | 0 | 60 | 40 | 100 |
| Group 5 (Media & Creative Industries) | |||||||||||
| P5518 | 0304220514 | Media Analytics and Artificial Intelligence | Media and Creative Industries | 3 | 2 | 4 | 15 | 10 | 45 | 30 | 100 |
| P5519 | 0304220515 | AI in Fashion: Trends and Transformations | Media and Creative Industries | 4 | 0 | 4 | 0 | 0 | 60 | 40 | 100 |
| P5520 | 0304220516 | AI in Journalism | Media and Creative Industries | 4 | 0 | 4 | 0 | 0 | 60 | 40 | 100 |
| Total Required Credits | 12 | 15 | 10 | 165 | 110 | 300 | |||||
| Minor Course/s (Choose any one group other than the chosen Major) | |||||||||||
| Group 1 (Financial Technologies) | |||||||||||
| TM2237 | 0304220502 | Financial Analytics | Financial Technologies | 3 | 2 | 4 | 15 | 10 | 45 | 30 | 100 |
| P5508 | 0304220503 | Fintech Framework and Governance | Financial Technologies | 4 | 0 | 4 | 0 | 0 | 60 | 40 | 100 |
| Group 2 (Marketing Technologies) | |||||||||||
| P5509 | 0304220505 | Social Media and Influencer Marketing Technologies | Marketing Technologies | 3 | 2 | 4 | 15 | 10 | 45 | 30 | 100 |
| P5510 | 0304220506 | E-Commerce and Retail Technologies | Marketing Technologies | 4 | 0 | 4 | 0 | 0 | 60 | 40 | 100 |
| Group 3 (Technologies for Global Supply Chain) | |||||||||||
| P5512 | 0304220508 | AI for Logistics Optimization | Technologies for Global Supply Chain | 3 | 2 | 4 | 15 | 10 | 45 | 30 | 100 |
| P5513 | 0304220509 | Managing Digital Transformation | Technologies for Global Supply Chain | 4 | 0 | 4 | 0 | 0 | 60 | 40 | 100 |
| Group 4 (HR Technologies) | |||||||||||
| P5515 | 0304220511 | AI in Performance and Employee Experience Management | HR Technologies | 3 | 2 | 4 | 15 | 10 | 45 | 30 | 100 |
| P5516 | 0304220512 | Diversity Equity and Inclusion | HR Technologies | 4 | 0 | 4 | 0 | 0 | 60 | 40 | 100 |
| Group 5 (Media & Creative Industries) | |||||||||||
| P5518 | 0304220514 | Media Analytics and Artificial Intelligence | Media and Creative Industries | 3 | 2 | 4 | 15 | 10 | 45 | 30 | 100 |
| P5519 | 0304220515 | AI in Fashion: Trends and Transformations | Media and Creative Industries | 4 | 0 | 4 | 0 | 0 | 60 | 40 | 100 |
| Mandatory Non-Credit Course/s | |||||||||||
| SMC003 | 0304220517 | Health and Wellness * | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | |
| Total | 0 | 0 | 0 | 0 | 0 | 0 | |||||
| Grand Total | 22 | 60 | 40 | 270 | 180 | 550 | |||||
| Catalog Course Code | Course Code | Course Title | Major/ Minor | Teaching Scheme (Hours Per Week) | Credits | Examination Scheme (Marks) | Total Marks | ||||
|---|---|---|---|---|---|---|---|---|---|---|---|
| Lectures | Lab | Practical | Theory | ||||||||
| CA | ESE | CA | ESE | ||||||||
| Semester : VI | |||||||||||
| Discipline-Specific Course/s / Major Course/s | |||||||||||
| T5525 | 0304220601 | Research Methodology | 3 | 0 | 3 | 0 | 0 | 75 | 0 | 75 | |
| Total | 3 | 0 | 0 | 75 | 0 | 75 | |||||
| Summer Internship Course/s | |||||||||||
| T3912 | 0304220602 | Internship | 0 | 24 | 12 | 180 | 120 | 0 | 0 | 300 | |
| Total | 12 | 180 | 120 | 0 | 0 | 300 | |||||
| Grand Total | 15 | 180 | 120 | 75 | 0 | 375 | |||||
| Note: Students exiting at the end of the sixth semester and earning 124 credits will be awarded a "Bachelor of Business Administration (Artificial Intelligence)," degree. Total Credits at the end of the Third year (Major 60, Minor 26, Multidisciplinary 6, Ability Enhancement Courses 6, Skill Enhancement Courses 8, Summer Internship 12, Common Value-Added Courses 6). | |||||||||||
| Catalog Course Code | Course Code | Course Title | Major/ Minor | Teaching Scheme (Hours Per Week) | Credits | Examination Scheme (Marks) | Total Marks | ||||
|---|---|---|---|---|---|---|---|---|---|---|---|
| Lectures | Lab | Practical | Theory | ||||||||
| CA | ESE | CA | ESE | ||||||||
| Semester : VII | |||||||||||
| Honours | |||||||||||
| Major Course/s | |||||||||||
| P5521 | 0304220701 | GEN AI and LLM Essentials | 3 | 2 | 4 | 15 | 10 | 45 | 30 | 100 | |
| P5522 | 0304220702 | MLops | 3 | 2 | 4 | 15 | 10 | 45 | 30 | 100 | |
| P5578 | 0304220703 | Responsible AI | 4 | 0 | 4 | 0 | 0 | 60 | 40 | 100 | |
| P5579 | 0304220704 | Reinforcement Learning | 2 | 0 | 2 | 0 | 0 | 30 | 20 | 50 | |
| F0002 | 0304220705 | Flexi-Credit Course | 2 | 0 | 2 | 0 | 0 | 50 | 0 | 50 | |
| Total | 16 | 30 | 20 | 230 | 120 | 400 | |||||
| Minor Course/s | |||||||||||
| P5580 | 0304220706 | NOSQL Databases | 3 | 2 | 4 | 15 | 10 | 45 | 30 | 100 | |
| P5581 | 0304220707 | Recommender Systems | 4 | 0 | 4 | 0 | 0 | 60 | 40 | 100 | |
| Total | 8 | 15 | 10 | 105 | 70 | 200 | |||||
| Honours with Research | |||||||||||
| Major Course/s | |||||||||||
| F0002 | 0304220708 | Flexi-Credit Course | 2 | 0 | 2 | 0 | 0 | 50 | 0 | 50 | |
| P5572 | 0304220709 | Literature Review and Research Synthesis | 4 | 0 | 4 | 0 | 0 | 60 | 40 | 100 | |
| THM6022 | 0304220710 | Scientific Paper Writing | 4 | 0 | 4 | 0 | 0 | 100 | 0 | 100 | |
| THM6021 | 0304220711 | Ethics in Research | 4 | 0 | 4 | 0 | 0 | 100 | 0 | 100 | |
| P5582 | 0304220712 | AI for Research | 4 | 0 | 4 | 0 | 0 | 100 | 0 | 100 | |
| Total | 18 | 0 | 0 | 410 | 40 | 450 | |||||
| Minor Course/s | |||||||||||
| T3804 | 0304220713 | Project | 0 | 8 | 4 | 60 | 40 | 0 | 0 | 100 | |
| Total | 4 | 60 | 40 | 0 | 0 | 100 | |||||
| Grand Total | 24/22 | 45/60 | 30/40 | 335/410 | 190/40 | 600/550 | |||||
| Catalog Course Code | Course Code | Course Title | Major/ Minor | Teaching Scheme (Hours Per Week) | Credits | Examination Scheme (Marks) | Total Marks | ||||
|---|---|---|---|---|---|---|---|---|---|---|---|
| Lectures | Lab | Practical | Theory | ||||||||
| CA | ESE | CA | ESE | ||||||||
| Semester : VIII | |||||||||||
| Honours | |||||||||||
| Major Course/s | |||||||||||
| P5528 | 0304220801 | Capstone Project | 0 | 24 | 12 | 180 | 120 | 0 | 0 | 300 | |
| T3804 | 0304220802 | Seminar | 4 | 0 | 4 | 0 | 0 | 60 | 40 | 100 | |
| Total | 16 | 180 | 120 | 60 | 40 | 400 | |||||
| Honours with Research | |||||||||||
| Major Course/s | |||||||||||
| P5585 | 0304220803 | Intellectual Property Rights | 2 | 0 | 2 | 0 | 0 | 30 | 20 | 50 | |
| Total | 2 | 0 | 0 | 30 | 20 | 50 | |||||
| Minor Course/s | |||||||||||
| P5527 | 0304220804 | Advanced Research Methods | 4 | 0 | 4 | 0 | 0 | 60 | 40 | 100 | |
| Total | 4 | 0 | 0 | 60 | 40 | 100 | |||||
| Research Project / Dissertation Course/s | |||||||||||
| T3812 | 0304220805 | Research Project | 0 | 24 | 12 | 180 | 120 | 0 | 0 | 300 | |
| Total | 12 | 180 | 120 | 0 | 0 | 300 | |||||
| Grand Total | 16/18 | 180 | 120 | 60/90 | 40/60 | 400/450 | |||||
|
Note: Total Credits at the end of Fourth year for "Bachelor of Business
Administration
(Artificial Intelligence) - Honours" - 164 (Major 92, Minor 34, Multidisciplinary 6,
Ability Enhancement Courses 6, Skill Enhancement Courses 8, Summer Internship 12,
Common Value-Added Courses 6).
Total Credits at the end of Fourth year for "Bachelor of Business Administration (Artificial Intelligence) - Honours with Research" - 164 (Major 80, Minor 34, Multidisciplinary 6, Ability Enhancement Courses 6, Skill Enhancement Courses 8, Summer Internship 12, Research Project / Dissertation 12, Common Value-Added Courses 6). |
|||||||||||
| Semester | 100% Continuous Assessment Credits | Term End (University)Examination Credits | Total Credits | Total Marks |
|---|---|---|---|---|
| Regular | ||||
| Semester 1 | 5 | 17 | 22 | 550 |
| Semester 2 | 8 | 13 | 21 | 525 |
| Semester 3 | 2 | 19 | 21 | 525 |
| Semester 4 | 7 | 16 | 23 | 575 |
| Semester 5 | 0 | 22 | 22 | 550 |
| Semester 6 | 3 | 12 | 15 | 375 |
| Total | 25 | 99 | 124 | 3100 |
| Honours | ||||
| Semester 7 | 2 | 22 | 24 | 600 |
| Semester 8 | 0 | 16 | 16 | 400 |
| Total | 27 | 137 | 164 | 4100 |
| Honours with Research | ||||
| Semester 7 | 14 | 8 | 22 | 550 |
| Semester 8 | 0 | 18 | 18 | 450 |
| Total | 39 | 125 | 164 | 4100 |
Foundational Courses in AI, Machine Learning, Statistics, and Programming
Interdisciplinary Modules customized for each programme focus
Project-Based Learning for hands-on experience
AI Labs & Studio Spaces for innovation and prototyping
Industry Mentorship & Internships for real-world exposure
Capstone Projects aligned with current research or industry challenges
Global Collaborations with international AI research institutions
Passed Std. XII (10+2) or equivalent examination from any recognized board with a minimum of 50% marks or equivalent grade (45% marks or equivalent grade for SC/ST). Open to students from all streams (Science, Commerce, Arts) who have passed. Students who wish to opt for Honours with Research must earn 7.5 CGPA and above at the end of Semester VI. Eligibility Criteria for multiple entries will be as per University's Lateral Entry Rules for FYUG programmes.
B.B.A. (Artificial Intelligence) -Honours/ Honours with Research- 150
| I. Within the sanctioned intake | a) SC (In Percentage) | b) ST (In Percentage) | c) Differently abled (In Percentage) | d) Defence (In Percentage) |
|---|---|---|---|---|
| 15 | 7.5 | 3 | 0 |
| II. Over and above the sanctioned intake | a) Kashmiri Migrants (In Seats) | b) International Students (In Percentage) | ||
|---|---|---|---|---|
| 2 | 25 | |||
A candidate seeking admission for the First Year B.B.A. (Artificial Intelligence) - Honours/ Honours with Research and B.Sc. (Artificial Intelligence) - Honours/ Honours with Research programs at Symbiosis Artificial Intelligence Institute, Pune, have to appear for the SET 2026, which is conducted twice(in May 2026) in CBT mode at multiple test centres across India.
Important:
Contact for queries:
Email: info@set-test.org | Mobile: 9071013499
Admission Related Queries
📱 7030006485 / 7030006486
International Students' Eligibility As per SCIE norms
Please follow the link : www.scie.ac.in
Contact: intadmissions@symbiosis.ac.in / Contact Number: +91-20-25671905 in case of any queries
Whatsapp : +917720858521 (Whatsapp messages only)
| Sr No | Description | Date(s) (Tentative) |
|---|---|---|
| 1 | Commencement of SET Test Registration + SAII Institute Registration* | 15th December 2025 |
| 2 | Closure of SET Test Registration | April 15, 2026 |
| 3 | Admit Card Live On (www.set-test.org) |
For SET Test 01: April 24, 2026 For SET Test 02: April 30, 2026 |
| 4 | SET Exam Dates |
Test-1: 02nd May 2026, 09.00 am to 10.00 am Test-2: 10th May 2026, 09.00 am to 10.00 am |
| 5 | SET Result Declaration | 20th May, 2026 |
| 6 | Closure of SAII Institute Registration | 18th May, 2026 |
| 7 | Shortlist Declaration | 23rd May 2026 |
| 8 | PI-1 Slot Booking | 24th – 27th May 2026 |
| 9 | PI-1 Interview Conduction Dates | 1st June – 6th June 2026 |
| 10 | Merit List-1 Date | 19th June 2026 |
| 11 | Merit List-2 Date (Based on Vacancy) | 27th June 2026 |
| 12 | Programme Commencement | 22nd July 2026 |
* Along with SET Test registration, for SAII admissions, SAII institute registration is also mandatory
* The above dates are tentative and subject to change as per University guidelines
Educational loan facility for SAII students is made available by Symbiosis International University bank tie up. Please visit the link given below for details of each bank's educational loan schemes.
| Program Fees for Bachelor of Business Administration (Artificial Intelligence) Honours/ Honours with Research | 1st Year Academic Year 2026-27 |
|---|---|
| Academic Fees (Per Annum) | ₹ 3,60,000 |
| Institute Deposit (Refundable) | ₹ 20,000 |
| Installments for Bachelor of Business Administration (Artificial Intelligence) Honours/Honours with Research | 1st Year 2026-27 (Amount in ₹) | |
|---|---|---|
| 1st Installment | 2nd Installment | |
| Academic Fees (Per Annum) | ₹ 1,80,000 | ₹ 1,80,000 |
| Institute Deposit (Refundable) | ₹ 20,000 | - |
| Installments | ₹ 2,00,000 | ₹ 1,80,000 |
| Last date of payment | At the time of Admission | 25-Nov-2026 |
| Hostel and Mess Fees (Subject to campus change/allotment and accommodation type wise, e.g. Single Sharing, Twin Sharing, Triple Sharing, Four Sharing, Dormitory) (The fees indicated here in are for Lavale Hill Base Campus Only) | 1st Year 2026-27 (Amount in ₹) | ||
|---|---|---|---|
| Total Fee | |||
| Mess Fees (Per Annum) | ₹1,19,600 | ||
| Hostel Deposit (Refundable) | ₹20,000 | ||
| Hostel Fees (Different, Subject to Sharing, Per Annum) @ | |||
| Single Living (Subject to availability) | ₹2,95,600 | ||
| Three Sharing | ₹1,68,900 | ||
| Four Sharing | ₹1,24,100 | ||
| Last date of payment | At the time of Admission | ||
| Program Fees for Bachelor of Business Administration (Artificial Intelligence) Honours/Honours with Research | Student taking Admission in |
|---|---|
| (a) NRI, PIO, OCI Category 1st Year 2026-27 Amount in $ | |
| Academic Fees (Per Annum) | $6,520 |
| Academic Fees (per Annum) to be paid (A) | $6,520 |
| Institute Deposit (Refundable)(B) | $275 |
| Administrative Fees (Non-Refundable) | $550 |
| Administrative Fees (Non-Refundable) to be paid (C) | $550 |
| Total Fees to be paid (D)=(A+B+C) | $7,345 |
| (a) Installment for Bachelor of Business Administration (Artificial Intelligence) Honours/Honours with Research students taking Admission in NRI, PIO, OCI Category | 1st Year 2026-27 (Amount in $) | ||
|---|---|---|---|
| 1st Installment | 2nd Installment | 3rd Installment | |
| Administrative Fees (Non-Refundable) | $550 | - | - |
| Academic Fees (Per Annum) | $540 | $2,990 | $2,990 |
| Institute Deposit (Refundable) | $275 | - | - |
| Installment | $1,365 | $2,990 | $2,990 |
| Last date of payment | At the time of acceptance of 'Offer Letter' | At the time of Reporting to SCIE | 25-Nov-2026 |
| (a) Hostel and Mess Fees (Subject to campus change/allotment and accommodation type wise, e.g. Single Sharing, Twin Sharing, Triple Sharing, Four Sharing, Dormitory) (The fees indicated herein are for Lavale Hill Base Campus Only) | Student taking Admission in NRI, PIO, OCI Category 1st Year 2026-27 Amount in $ | ||
|---|---|---|---|
| Total Fee | 1st Installment | 2nd Installment | |
| Mess Fees (Per Annum) | $1,400 | $700 | $700 |
| Hostel Deposit (Refundable) | $250 | $250 | - |
| Hostel Fees (Different, Subject to Sharing, Per Annum) | - | - | - |
| Single Living (Subject to availability) | $3,420 | $3,420 | - |
| Three Sharing | $1,960 | $1,960 | - |
| Four Sharing | $1,440 | $1,440 | - |
| Last date of payment | At the time of Reporting to SCIE | 25-Nov-2026 | |
| Program Fees for Bachelor of Business Administration (Artificial Intelligence) Honours/Honours with Research | Student taking Admission in |
|---|---|
| (b) Foreign National Category 1st Year 2026-27 Amount In $ | |
| Academic Fees (Per Annum) | $6,520 |
| Less: Symbiosis Golden Jubilee Scholarship to Foreign National Students II | $5,220 |
| Academic Fees (per Annum) to be paid (A) | $1,300 |
| Institute Deposit (Refundable)(B) | $275 |
| Administrative Fees (Non-Refundable) | $550 |
| Less: 50% Fee Concession on Administrative Fees | $275 |
| Administrative Fees (Non-Refundable) to be paid (C) | $275 |
| Total Fees to be paid(D)=(A+B+C) | $1,850 |
| (b) Installments for Bachelor of Business Administration (Artificial Intelligence) Honours/Honours with Research students taking Admission in Foreign National Category | 1st Year 2026-27 (Amount in US$) | ||
|---|---|---|---|
| 1st Installment | 2nd Installment | 3rd Installment | |
| Administrative Fees (Non-Refundable) | $275 | - | - |
| Academic Fees (Per Annum) | $815 | $240 | $245 |
| Institute Deposit (Refundable) | $275 | - | - |
| Installments | $1,365 | $240 | $245 |
| Last date of payment | At the time of acceptance of 'Offer Letter' | At the time of Reporting to SCIE | 25-Nov-2026 |
| (b) Hostel and Mess Fees (Subject to campus change/allotment and accommodation type wise, e.g. Single Sharing, Twin Sharing, Triple Sharing, Four Sharing, Dormitory) (The fees indicated herein are for Lavale Hill Base Campus Only) | Student taking Admission in Foreign National Category 1st year 2026-27 Amount in $ | ||
|---|---|---|---|
| Total Fee | 1st Installment | 2nd Installment | |
| Mess Fees (Per Annum) | $560 | $280 | $280 |
| Hostel Deposit (Refundable) | $250 | $250 | - |
| Hostel Fees (Different, Subject to Sharing, Per Annum | - | - | - |
| Three Sharing | $650 | $650 | - |
| Four Sharing | $650 | $650 | - |
| Last date of payment | At the time of acceptance of 'Offer Letter' | 25-Nov-2026 | |
Symbiosis International (Deemed University) has various scholarship schemes to reward meritorious students.
With the objective of encouraging meritorious students and academic excellence, Scholarships/ Awards are offered to deserving students of the University by the Symbiosis Society Foundation.
SAII awards merit scholarship under SIU policy for all our undergraduate programmes. The following are the details of the Scholarship for Academic Excellence at SAII.
Merit Scholarship for Semester / Annual Toppers - (Post Graduate & Under Graduate programmes)
Applicability and Commencement: This scholarship is applicable to:
Awarded to:
Nature of the scholarship:
First four toppers in the order of merit of every batch of every programme in every semester/ annually will be awarded the Merit Scholarship.
The Scholarship recipients are granted concession in Academic Fees of the semester, applicable to all full time Post Graduate and Under Graduate degree programmes of all the Constituents of SIU, as below:
The scholarship amount will not be paid directly to the students. It will be transferred by the University directly to the Constituent, for the adjustment in academic fee of the following semester.
In case the student is a topper in the last semester of the programme, the scholarship amount will be transferred to the student’s bank account as per available records
SIU Scholarships details and other scholarships offered by SIU can be seen at -https://www.siu.edu.in/admissions/scholarship
A B.Sc. (Artificial Intelligence) -Honours/ Honours with Research from SAII (साई) is a unique programme that blends core business knowledge with emerging AI technologies, preparing graduates to lead digital transformation across industries. It enables students to understand how to apply AI in solving business problems, optimizing operations, and driving innovation. Businesses increasingly need professionals who understand both AI toolsand business strategy.