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Code the Future.
Decode the World.

Transform Science into Smart Solutions.

3 Years Full Time
Raisoni Education
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About Course

The B.Sc. in Artificial Intelligence & Machine Learning at Raisoni Education provides comprehensive knowledge in AI fundamentals, machine learning algorithms, neural networks, data science, and intelligent system design. The program emphasizes practical learning through advanced laboratories, live AI and ML projects, industry-standard tools, and real-world exposure to prepare students for careers in technology, research, automation, healthcare AI, financial analytics, and machine intelligence-driven industries.

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Kimba | Raisoni Education

Objectives of the Program

  • Develop foundational and advanced knowledge in artificial intelligence and machine learning technologies.
  • Build practical skills in algorithm development, model training, data processing, and intelligent application design.
  • Understand modern AI ecosystems, neural architectures, and real-world machine learning deployment.
  • Enhance scientific thinking, mathematical reasoning, and computational problem-solving capabilities.
  • Prepare students for careers in AI research, technology industries, data-driven organisations, and innovation labs.

Build a Career That Shapes the AI-Driven Future with Raisoni Education's B.Sc. in Artificial Intelligence & Machine Learning Program

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Future of B.Sc. (AI & Machine Learning) Professionals

₹7,50,000/Year* Raisoni Education

Professionals in Artificial Intelligence & Machine Learning earn competitive salary packages based on skills, experience, and area of specialisation.

40% Industry Growth Raisoni Education

The artificial intelligence, machine learning, automation, robotics, and data intelligence sectors are among the most rapidly expanding globally, with surging demand for skilled AI and ML professionals across every major industry vertical.

15 Lakh+ JobsRaisoni Education

Career opportunities are available across technology companies, research institutions, healthcare organisations, financial services, e-commerce platforms, defence research bodies, automotive industries, and AI-focused startups worldwide.

Eligibility Criteria

Admission Procedure

Step 1: Admission Notification
  • Admission details are announced through official communication channels and admission notifications.
Step 2: Application Submission
  • Submit the application form along with required academic documents.
Step 3: Shortlisting & Selection
  • Eligible candidates are shortlisted based on academic qualifications and admission criteria.
Step 4: Document Verification
  • Selected candidates must complete document verification and submit required certificates.
Step 5: Enrollment Confirmation
  • Admission is confirmed after successful verification and fee submission.
Application Rejection:

Applications may be rejected under the following circumstances:

  • Failure to satisfy prescribed eligibility criteria.
  • Submission of incomplete application forms or incorrect details.
  • Non-payment of admission or application fees within the specified timeline.
  • Failure to submit mandatory documents during verification.
  • Submission of forged or misleading information/documents.
  • Violation of university admission rules or disciplinary guidelines.

The institution reserves the authority to cancel or reject admission if discrepancies are identified at any stage of the admission process.

Required Documents:
  • 10th & 12th Mark Sheets and Passing Certificates
  • Transfer Certificate (TC) & Migration Certificate
  • Domicile / Nationality Certificate
  • Caste Certificate (if applicable)
  • Aadhaar Card (identity proof)
  • Passport-size photographs (recent)
  • Gap Certificate (if applicable)

Core Skills

  • Artificial Intelligence Fundamentals
  • Machine Learning Algorithms & Models
  • Deep Learning & Neural Networks
  • Python Programming & Scientific Computing
  • Natural Language Processing (NLP)
  • Computer Vision & Image Recognition
  • Data Science & Statistical Analysis
  • Big Data Tools & Cloud AI Platforms
  • Reinforcement Learning Techniques
  • AI Model Deployment & MLOps
  • Mathematics for AI & Linear Algebra
  • Analytical & Problem-Solving Skills
  • Research and Development Skills
  • Project Management & Teamwork

Career Opportunities

Entry Level
  • Junior Machine Learning Engineer
  • AI Application Developer
  • Data Analyst
  • Computer Vision Trainee
Mid Level
  • Machine Learning Engineer
  • AI Research Scientist
  • NLP Engineer
  • Robotics & Automation Specialist
Senior Level
  • Senior AI Architect
  • ML Solutions Lead
  • AI Research & Development Manager
  • Technical Project Manager

Future Studies

After completing B.Sc. in Artificial Intelligence & Machine Learning, graduates can pursue the following advanced programs and professional certifications:

M.Sc. / M.Tech. in Artificial Intelligence or Machine Learning
MCA in AI & Data Science
PhD in Artificial Intelligence or Computational Science
Certification Courses in TensorFlow, PyTorch, Scikit-learn, and Cloud AI Services
Advanced Training in Generative AI, Autonomous Systems, and AI Ethics

Course Available at College

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FAQ

Can non-science students apply?

Yes. Students from Science, Commerce, and Arts streams are eligible, as the program progressively builds technical skills from the ground up.

No. Mathematical concepts are taught in a practical, application-linked manner directly tied to AI and Data Science use cases.

Students build real-world projects including AI chatbots, recommendation systems, predictive dashboards, and image classification models.

Beyond core programming, this program offers specialised training in AI, Machine Learning, Data Science, and cloud deployment technologies.

Yes. Students receive internship opportunities from the second year onward, along with 100% placement assistance through Raisoni's extensive industry network.

Kimba | Raisoni Education

Applications of admission are now
open for academic year 2026-2027

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