The B.Sc. in Artificial Intelligence program at Symbiosis Artificial Intelligence Institute (SAII साई) offers a strong foundation in AI, machine learning, and deep learning, combined with hands-on experience using tools like Python, TensorFlow, and PyTorch. The curriculum emphasizes application-oriented learning across key domains such as Health Sciences, Agriculture, Cybersecurity, Data Science, and Sports Sciences, allowing students to solve real-world problems using AI. A dedicated focus on ethical and responsible AI ensures students understand the societal impact of intelligent systems.
Graduates emerge as job-ready professionals equipped for roles like AI Developer, Data Analyst, or Data Scientist across diverse industries. The program fosters interdisciplinary thinking, innovation, and lifelong learning, preparing students for advanced studies or global careers in the AI ecosystem. Through industry-led projects, research exposure, and mentoring, students are empowered to create impactful, human-centred AI solutions.
The B.Sc. in Artificial Intelligence program at SAII is fully aligned with the National Education Policy (NEP) 2020, offering students flexible academic progression and multiple exit options. Learners can earn a Certificate, Diploma, or a full B.Sc. degree, with the choice to graduate after the 3rd year or continue into the 4th year for an Honours or Honours with Research degree. This structured flexibility ensures students can pursue their academic and career goals at their own pace, while building strong foundational and advanced skills in AI.
| 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 | Bachelor of Science (Artificial Intelligence) | - |
| Year 4 (End of Sem 8) |
166 Credits | B.Sc. (Artificial Intelligence) – Honours or Honours with Research | Based on chosen track: Capstone Project (Honours) or Research Project (Honours with Research) |
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
| 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. |
| 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. |
A B.B.A in Artificial Intelligence 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.
With organizations worldwide investing in AI, B.B.A-AI graduates are equipped to work in global roles combining tech fluency with business leadership, making them strong candidates for careers both in India and abroad.
