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

Apply Now

Overview

Focus Area and Value Delivered by B.B.A. (Artificial Intelligence) - Honours/ Honours with Research programme

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.

3-Year B.B.A (Artificial Intelligence) + 1-Year Honours/ Honours with Research

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)
BSc with Specialization in Artificial Intelligence
Study Artificial Intelligence – BSc Program

B.B.A. (Artificial Intelligence) Honours/ Honours with Research (Required to Choose Major/Minor Specialization From) :

(Required to Choose Major/Minor Specialization From)

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.
* Subject to registration of minimum 15 students per specialization.

Students can choose any one minor from the following specialisations

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.
* Subject to registration of minimum 15 students per specialization.

Programme Structure

Objective:

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.

Program Outcomes:

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.

Program Specific Outcomes:

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.

Duration (In Months)

48 (Full Time) With Multiple Entry and Multiple Exit Option

Selection Procedure

Personal Interaction (PI)

Medium of Instruction

English

Programme Pattern

Semester

Assessment

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..

Standard of Passing:

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.

Courses and Specializations

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

Semester II

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.

Semester III

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

Semester IV

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.

Semester V

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

Semester VI

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).

Semester VII

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

Semester VIII

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

Pedagogical Framework

BSc in Machine Learning and AI

Foundational Courses in AI, Machine Learning, Statistics, and Programming

Explore BSc in Advanced Artificial Intelligence

Interdisciplinary Modules customized for each programme focus

BSc in Intelligent Systems and AI

Project-Based Learning for hands-on experience

Future-Ready BSc in AI and Robotics

AI Labs & Studio Spaces for innovation and prototyping

BSc in AI-Powered Technologies

Industry Mentorship & Internships for real-world exposure

Science Degree in Artificial Intelligence

Capstone Projects aligned with current research or industry challenges

AI-Centric BSc Program for Tech Enthusiasts

Global Collaborations with international AI research institutions

Eligibility Criteria

Indian Students

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.

International Students: (NRI/PIO/Foreign Nationals)

  • Passed / Appeared 10 + 2 examinations
  • Do not have to appear for entrance exam (SET/JEE) in India
  • International Student’s eligibility as per SCEI norms. Please follow the link http://scie.ac.in

Intake

B.B.A. (Artificial Intelligence) -Honours/ Honours with Research- 150

Reservation with Sanctioned Intake

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

Admission Process & Important dates

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.

  • The candidate has to register for the SET examination via the SET Registration Portal: Registration through SET by paying INR 2250/-. The registration will close on April 15, 2026.
  • Remember SETID and Pwd for further admission process.
  • Then do the institute registration of 1000/- rs for the SAII B.Sc. (Artificial Intelligence) -Honours/ Honours with Research and/or B.B.A. (Artificial Intelligence) via the SET Registration Portal. The registration will close on 18th May, 2026.
  • Registration includes:
    • Basic candidate information
    • Selection of SET test date(s)
    • Selection of preferred test centre(s) for more information about the Test Centres, please click here https://www.set-test.org/test-cities
    • Institute selection
    • Selection of programme (B.B.A. (Artificial Intelligence) / B.Sc. (Artificial Intelligence) -Honours/ Honours with Research)
    • Upload of relevant documents
    • Payment of fees
    • SET 2026 (Test structure, please click on the link https://www.set-test.org/structure )

Important:

  • Please note that Registration fees are non-refundable and non-transferable.
  • Along with SET registration, SAII institute registration is mandatory for admission. Candidates failing to pay will not be included in the merit list or branch allocation.

Contact for queries:

Email: info@set-test.org | Mobile: 9071013499

  • Once registered for the SET examination, the student can download the admit card from www.set-test.org April 24, 2026, onwards.
  • Appear for SET examination on the selected date (Test-1: 02nd May 2026, 09.00 am to 10.00 am, Test-2: 10th May 2026, 09.00 am to 10.00 am)

  • Results can be checked and scorecards downloaded from www.set-test.org
  • Result Declaration Date: May 20, 2026 (Wednesday)
  • Complete the SAII Institute registration of 1000/- rs if not completed by 18th May,2026
  • Receive Merit List declaration email from 23rd May 2026.

  • The list of eligible candidates shortlisted for PI will be announced on 23rd May 2026.
  • Shortlisted candidates must book their PI slot between 24th May and 27th May 2026 for B.Sc. (Artificial Intelligence) / B.B.A. (Artificial Intelligence).

  • Online PI will be conducted between 1st June to 8th June 2026 (excluding Sunday).
  • The PI process includes:
    • ID Verification
    • Eligibility Verification
    • Personal Interaction

  • The merit list will be prepared based on:
    • SET Score
    • PI Performance
  • Merit List Declaration: 19th June 2026

  • Selected candidates must confirm their admission by paying the programme fees within the deadline mentioned in the offer letter sent via email. After fee payment, candidates interested in hostel accommodation must apply through the SIU Finance portal mentioned in the offer letter sent via email. (Hostel seats are available on a first come first serve basis, based on availability.)

  • After paying the first instalment of fees, students will receive an email from the SIU Eligibility Section.
  • Candidates must log in to the SIU Finance and Eligibility Portals using their student registration credentials.
  • Students are required to download, complete, and upload documents as mentioned in the email sent by the SIU Eligibility Section.

Guidelines for Document Upload

  • Upload one PDF per mandatory document containing scans of both sides/all pages.
  • Ensure all scans are clear, legible, and complete.
  • Save and click the Submit button after uploading documents on the portal.

Contact Information

Admission Related Queries

📧 admissions@saii.siu.edu.in

020-61936580

📱 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)


Key Admission Dates

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

Fee Structure for Academic Year 2026-27

Educational loan

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.

Enquiry for Education Loan Click Here

https://www.siu.edu.in/education-loans

Indian Students

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

NRI, PIO, OCI Category

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

Foreign National Category

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

Scholarships

Scholarships

Symbiosis International (Deemed University) has various scholarship schemes to reward meritorious students.

Scholarship Policy

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

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.

The Scheme

Merit Scholarship for Semester / Annual Toppers - (Post Graduate & Under Graduate programmes)

Applicability and Commencement: This scholarship is applicable to:

  • All UG / PG degree programmes which follow semester pattern
  • UG / PG degree programmes which follow annual pattern (except SMCW)
  • A student can avail only one SIU scholarship per semester

Awarded to:

  • Four semester toppers in the order of merit of every batch of every degree programme (UG and PG) under SIU.
  • Four toppers which follow annual pattern.

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:

  • 1st topper gets 20%,
  • 2nd topper gets 15%,
  • 3rd topper gets 10%,
  • 4th topper gets 5%

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

Career Opportunities

Future Prospects for B.Sc. (Artificial Intelligence) -Honours/ Honours with Research Graduates

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.

BSc in Computational Intelligence
Bachelor’s in AI and Emerging Technologies

Student Achievements

Student Achievements
Student Achievements
Student Achievements
About SAII Pune