Program Brochure
B.Tech (AI & ML)
In a world increasingly shaped by data, intelligence, and automation, the frontier of technology is rapidly evolving—and at Symbiosis Skills and Professional University (SSPU), we’re not just keeping pace; we’re leading it.
Duration
4 Years
Students can download brochure to know more about the programme and apply for admissions 2026.
Our B.Tech. in Artificial Intelligence & Machine Learning (AIML) is more than just a degree - it's a launchpad into the most transformative and powerful technological era of human history. Designed with futuristic vision, industry precision, and academic excellence, this program will empower you to become an architect of tomorrow’s intelligent systems, shaping innovations that will redefine the way we live, work, and interact.
Artificial Intelligence and Machine Learning are no longer niche technologies—they are the nervous system of the 21st-century digital world. From self-driving cars, intelligent healthcare diagnostics, and AI-powered financial forecasting to climate modelling, real-time language translation, and emotion-aware customer service bots, AIML is rewriting every rule across every sector.
Our AIML program is designed with the philosophy that technology should not only be learned but lived. This means a hands-on, industry-integrated, and research-driven curriculum that blends deep theoretical foundations with practical, real-world problem solving.
At SSPU, you will not just code models—you will harvest intelligence.
Innovative Curriculum Tailored for the AI Economy
The B.Tech. AIML program at SSPU goes beyond traditional pedagogy. We’ve mapped our curriculum to include cutting-edge advancements, interdisciplinary research, and quantum-aligned technologies, ensuring that you graduate not only with a degree but with a profile that aligns with the top tech talents globally.
Core Modules Include:
- Neural Networks & Deep Learning
- Natural Language Processing (NLP)
- Computer Vision and Image Analytics
- Reinforcement Learning & Autonomous Systems
- AI in Cybersecurity and Cryptography
- Edge AI and Embedded Intelligence
- Quantum Machine Learning
- Ethical AI and Policy Frameworks
- AI in Healthcare, Finance, Smart Cities, and Sustainable Development
This is backed by an emphasis on Mathematics, Statistics, Data Structures, High-Performance Computing, and Cloud-AI integrations.
Each subject is not just taught—it’s experienced through collaborative labs, live industry projects, open-source contributions, hackathons, and innovation challenges.
Eligibility Criteria
Passed 10+2 examination with physics and mathematics and one of the subjects from the following Chemistry /Computer Science / Electronics /Information Technology /Biology/Informatics Practices / Biotechnology / Technical Vocational subject/Agriculture/Engineering Graphics/ Business Studies/ Entrepreneurship and obtained at least 50% marks (at least 45% marks, in case of candidates belonging to reserved category, EWS & PWD candidates belonging to Maharashtra state only) in the above subjects taken together.
OR
Should have passed a minimum of 3 years Diploma in Engineering and Technology and obtained at least 50% marks (at least 45% marks, in case of reserved categories, EWS & PWD Students belonging to Maharashtra state only)
(The Universities will offer suitable bridge courses such as Mathematics, Physics, Engineering drawing, etc., for the students coming from diverse backgrounds to prepare a Level playing field and desired learning outcomes of the programme). 2nd year, in case the vacancies at lateral entry are exhausted.
AND
Qualifying score in JEE OR MHT-CET OR any other State level Engineering Entrance Exam OR National-level Engineering Entrance Exam OR Common University Entrance Test (CUET) OR Symbiosis Engineering Entrance Test (SEET) conducted by SSPU OR Symbiosis International (Deemed) University’s SET Score and Candidate also need to appear for a counselling session.
Candidates will be selected based on their performance in the entrance test conducted by SSPU.
- Passed 10+2 examination with Physics and Mathematics as compulsory subjects along with one of the Chemistry or Biotechnology or Biology or Technical Vocational subject or Computer Science or Information Technology or Informatics Practices or Agriculture or Engineering Graphics or Business Studies or Electronics or Entrepreneurship. Student should have obtained at least 50% marks in the above subjects taken together and must obtain an equivalence certificate from the Association of Indian Universities (AIU).
- The application format is available on the AIU website link: https://evaluation.aiu.ac.in/Student/EHome
- All foreign qualifications need to be verified by the AIU by the candidate before seeking provisional admission.
- To promote international understanding between Indian and Foreign candidates, SSPU has reserved seats for NRIs/International candidates in every division (Supernumerary Quota).
- Qualifying score in JEE or Symbiosis Engineering Entrance Test (SEET) conducted by SSPU.
- Candidates will be selected based on the entrance test conducted by SSPU.
Passed Minimum THREE years / TWO years (Lateral Entry) Diploma examination with at least 50% marks (at least 45% marks, in case of reserved categories, EWS & PWD Students belonging to Maharashtra state only) (Respective Council) in ANY branch of Engineering and Technology.
OR
Passed B.Sc. Degree from a recognized University as defined by UGC, with at least 50% marks (at least 45% marks, in case of reserved categories, EWS & PWD Students belonging to Maharashtra state only) as per guidelines of UGC / AICTE / Respective Council) and passed 10+2 examination with Mathematics as a subject.
OR
Passed B. Voc./3 yrs, D. Voc. Stream in the same or allied sector. (The Universities will offer suitable bridge courses such as Mathematics, Physics, Engineering drawing, etc., for the students coming from diverse backgrounds to achieve desired learning outcomes of the programme) Refer to table 1.10 of Appendix – 1
Note: Lateral Entry admission will be subject to a minimum of 60% course mapping and/or as per Annexure I.
Future Opportunities
Career opportunities include roles such as
Graduates from our AIML program don’t just enter the job market—they lead it. We equip you with a portfolio that competes globally, with skills that align with roles such as:
AI Research Scientist
Machine Learning Engineer
Data Scientist
Quantum AI Developer
AI Product Manager
Robotics and Automation Specialist
NLP Engineer
AI for Cybersecurity Analyst
Cognitive Computing Expert
Curriculum
- Applied Mathematics - I
- Computer Programming and Algorithms
- Computer Organization and Architecture
- Introduction to Artificial Intelligence
- Exploratory Data Analysis
- Sustainability and Environmental Studies
- Business Communication Skills
- Interdisciplinary Course II (Open Elective)
- Applied Mathematics - II
- Data Structures
- Operating Systems
- Fundamentals of Machine Learning
- Python Programming
- Business Fundamentals
- Life Coping Skills
- Summer Internship
- Database Management Systems
- Object-Oriented Programming
- Deep Learning
- Computer Graphics
- IoT with Artificial Intelligence
- Domain Foundation-I (Elective)*
- Pattern Recognition
- Information Security
- Design Thinking
- Open Elective
- Personality Enhancement Skills
- Big Data Analytics
- Web Application Development
- Introduction to Natural Language Processing (NLP)
- Computer Networks
- Software Development and Operations
- Domain Foundation-II (Elective)*
- Robotics and Automation
- AI in Cybersecurity
- Game Theory
- Open Elective
- Career Development Skills
- Summer Internship
- Design and Analysis of Algorithm
- Social Media Analytics
- Reinforcement Learning
- Machine Vision
- Artificial Neural Network
- Domain Advances-I*
- Soft Computing
- Blockchain
- Augmented Reality and Virtual Reality
- Open Elective
- Professional Competency Skills
- Machine Learning Operations
- Data Modelling
- Quantum Computing
- Cloud Computing
- Management & Entrepreneurship for IT Industry
- Domain Advances-II*
- AI in Healthcare
- AI in VANET
- Demand Forecasting
- Open Elective
- Behaviour Skills
- Security Architecture and Engineering
- Machine Learning for Cybersecurity
- Cyber Incident Planning and Response
- Report and Paper Writing
- Project
- Organizational Skills
- Internship
- Seminar
Program Educational Objectives (PEOs)
Graduates will build successful careers by applying core and advanced concepts of Artificial Intelligence and Machine Learning to design, develop, and deploy innovative solutions for industry and societal challenges.
Graduates will pursue higher education, research, or professional certifications in Artificial Intelligence, Machine Learning, and allied interdisciplinary domains, demonstrating continuous learning and academic excellence.
Graduates will demonstrate ethical, social, and professional responsibility as team members, leaders, entrepreneurs, or researchers, contributing sustainably to technological advancement and societal well-being.
Program Outcomes (POs) as per National Board of Accreditation
PO1
Engineering knowledge
Apply the knowledge of mathematics, science, engineering fundamentals, and an engineering specialization to the solution of complex engineering problems.
PO2
Problem analysis
Identify, formulate, review research literature, and analyze complex engineering problems reaching substantiated conclusions using first principles of mathematics, natural sciences, and engineering sciences.
PO3
Design/development of solutions
Design solutions for complex engineering problems and design system components or processes that meet the specified needs with appropriate consideration for the public health and safety, and the cultural, societal, and environmental considerations.
PO4
Conduct investigations of complex problems
Use research-based knowledge and research methods including design of experiments, analysis and interpretation of data, and synthesis of the information to provide valid conclusions.
PO5
Modern tool usage
Create, select, and apply appropriate techniques, resources, and modern engineering and IT tools including prediction and modeling to complex engineering activities with an understanding of the limitations.
PO6
The engineer and society
Apply reasoning informed by the contextual knowledge to assess societal, health, safety, legal and cultural issues and the consequent responsibilities relevant to the professional engineering practice.
PO7
Environment and sustainability
Understand the impact of the professional engineering solutions in societal and environmental contexts, and demonstrate the knowledge of, and need for sustainable development.
PO8
Ethics
Apply ethical principles and commit to professional ethics and responsibilities and norms of the engineering practice.
PO9
Individual and team work
Function effectively as an individual, and as a member or leader in diverse teams, and in multidisciplinary settings.
PO10
Communication
Communicate effectively on complex engineering activities with the engineering community and with society at large, such as, being able to comprehend and write effective reports and design documentation, make effective presentations, and give and receive clear instructions.
PO11
Project management and finance
Demonstrate knowledge and understanding of the engineering and management principles and apply these to one's own work, as a member and leader in a team, to manage projects and in multidisciplinary environments.
PO12
Life-long learning
Recognize the need for, and have the preparation and ability to engage in independent and life-long learning in the broadest context of technological change.
Program Specific Outcomes (PSOs)
01
Student will be able to apply advanced AI and ML methods to design, implement, and deploy end-to-end solutions in various AIML domains using state-of-the-art frameworks and emerging platforms while optimizing for system performance, usability, and environmental sustainability.
02
Student will be able to lead teams or research initiatives by identifying AI/ML challenges, designing solutions ethically, and driving innovation or product development.
FAQs
Absolutely. The program includes industry internships, collaborative projects, and hackathons. Students will work with real datasets from sectors like healthcare, fintech, smart cities, and cybersecurity through university tie-ups with leading companies and startups.
Yes. We include introductory and application-oriented Quantum Computing modules, including:
- Qubits and Quantum Gates
- Quantum Machine Learning Algorithms
- Tools like IBM Qiskit & Google Cirq
- This positions students for careers and research in next-gen computing.
The B.Tech. in Artificial Intelligence and Machine Learning (AIML) at SSPU is a four-year undergraduate engineering program focused on developing expertise in AI, ML, and emerging technologies like Quantum Computing. The program blends theoretical foundations with hands-on, industry-driven learning to prepare students for high-impact careers in future technologies.
Yes. SSPU promotes tech entrepreneurship through:
- In-house Incubation Centre
- Startup Bootcamps
- Mentorship from AI Entrepreneurs
- Seed Funding Opportunities
- Students can also build AI-based products and pitch for real-world funding and deployment.
The curriculum progresses from core programming and mathematics in Year 1 to specialized AIML subjects by Year 2 and 3, followed by internships and capstone projects in Year 4. It also includes:
- Fundamental Engineering Sciences
- AI Algorithms & Frameworks
- Research Methodologies
- Industry Electives
- Quantum AI Modules
- AI Ethics & Policy
You can apply through the official SSPU admissions portal. The process typically includes:
- Online Application
- Submission of 12th-grade and Entrance Exam Scores
- Personal Interview or Entrance Test (if applicable)
- Final Selection and Enrolment
Apply now at www.sspu.ac.in to begin your journey in the world of Artificial Intelligence.
Yes. SSPU has academic collaborations with international universities and research centers. Selected students can participate in exchange programs, virtual labs, and joint projects in areas like AI ethics, robotics, and computational sciences.
Candidates must have completed 10+2 or equivalent with Physics, Mathematics, and Chemistry/Computer Science as core subjects. A valid score in qualifying entrance exams as per university norms (like JEE/MHT-CET/SSPU entrance test) is also required.
SSPU provides comprehensive placement support through:
- Resume and Portfolio Building
- Mock Interviews and Technical Tests
- Industry Mentorship
- Tech Meetups and Career Fairs
- Connections with Recruiters in AI, ML, Data Science, and Quantum Tech
- Our students graduate with industry-ready portfolios and high employability scores.
Graduates can pursue roles such as:
- AI/ML Engineer
- Data Scientist
- AI Researcher
- Quantum AI Developer
- Robotics and Automation Engineer
- AI Product Manager
The program also prepares students for higher studies and research roles in top global institutions.
This program is uniquely designed with a futuristic curriculum, interdisciplinary integration (like AI in healthcare, finance, sustainability), and emerging domains like Quantum Machine Learning, Ethical AI, and Edge Intelligence. It includes industry-led projects, real-world problem solving, and personalized career mapping.
Definitely. The university fosters a strong research culture where students collaborate with faculty and industry experts on:
- AI for Social Good
- Quantum Algorithm Design
- AI in Medical Imaging and Diagnostics
- Students regularly present at national and international conferences and co-author research papers.
