Programmes
B. Voc in AI and ML
Bachelor of Vocation in Artificial Intelligence and Machine Learning | 3 Years (6 Semesters) | Full-Time On Campus
COURSE HIGHLIGHTS
3 Years (6 Semesters)
30
Full-Time On Campus
Overview of the B. Voc in AI and ML Course
The B.Voc in Artificial Intelligence and Machine Learning course is an interdisciplinary Bachelor of Vocation degree focused on building expertise in AI models, machine learning algorithms, data analysis, and automation technologies for industry success. This program develops analytical skills, model optimization, and real-world problem-solving essential for modern AI operations.
This course integrates AI fundamentals with practical applications, preparing students for roles in data science, software development, and automation. Its curriculum offers a solid foundation in Python programming, predictive analytics, computer vision, and natural language processing, readying graduates for professional careers and advanced studies in artificial intelligence and machine learning.
Program Objectives
The B.Voc Artificial Intelligence and Machine Learning course details aim to provide students with a strong foundation in AI technologies, machine learning techniques, and industry applications along with practical exposure. The key objectives of the program are:
- Develop analytical thinking, algorithm design, problem-solving, and coding skills essential for AI and machine learning professions
- Foster understanding of data systems, model training, automation, and operations in dynamic tech environments
- Equip students with practical knowledge through labs, simulations, projects, and industry placements
- Instil professional ethics, responsible AI practices, and regulatory compliance in machine learning training
- Prepare a strong foundation for higher education such as M.Voc, professional certifications in data science, or research-oriented programs in AI
Program Outcomes
Upon completing this Bachelor of Vocation in Artificial Intelligence and Machine Learning Course, graduates will be able to:
- Understand core AI/ML concepts through key subjects such as data analytics, machine learning algorithms, Python programming, and AI applications
- Apply intelligent and analytical skills to solve real-world automation and predictive problems
- Develop and optimize AI models, ensure ethical deployment, and support decision-making in tech settings
- Communicate effectively foundational AI developments through reports, documentation, and project presentations
- Demonstrate responsible AI practices and awareness of regulatory and safety standards
- Explore diverse careers in tech companies, data science, automation, and entrepreneurship, or pursue higher education such as M.Voc and other AI-related specializations
Curriculum Details
B. Voc in AI and ML Eligibility Criteria
- 10+2 / PUC in Science stream (Maths, Physics, Chemistry / Computer) with minimum 50% (45% for SC/ST) from a recognized board or equivalent qualification
- Open to students from Science stream
Fee Structure
| Components | Amount ( INR ) |
|---|---|
| Tuition Fee (per year) | ₹1,20,000 |
| Scholarship Fee (25% discount) | ₹90,000 |
NOTE:
Admission, University Registration, Examination, Laboratory, and Library fees are additional fees charged during Admission.
Merit Scholarship:
Merit Scholarship offers 25% of the Tuition Fees (all three years) to students having 80% and above in the Qualifying Examination (12th / PUC).
Means Scholarship:
Means Scholarship offers 25% tuition fee concession to students hailing from BPL category (all three years) holding valid BPL cards.
Career Paths
AI Engineer
Design and deploy intelligent systems and automation solutions
Data Scientist
Perform data analysis, visualization, and predictive modelling
Machine Learning Engineer
Build and optimize algorithms using Python and ML frameworks
Software Developer
Integrate AI features into applications and products
Automation Specialist
Develop robotic process automation and smart systems
Higher Studies
Pursue advanced education such as M.Voc in Data Science, MBA in Tech Management, or other AI specializations
FAQs
Contact Information
Admissions Office
Shalom New Life College of Health Sciences
SLV Arcade, # 14 & 15, BSF Road,
Niranphara Layout, Near REVA Circle,
Yelahanka- Bagalur Main Road,
Bangalore - 562114.
Phone:
+91 80 23900817
Email:
support@snlcollege.com
Website:
https://snlcollege.com
ON THE PAGE
- Overview
- Program Objectives
- Program Outcomes
- Course Details
- Eligibility Criteria
- Fee Structure
- Career Path
- FAQ
- Contact
COURSE HIGHLIGHTS
3 Years (6 Semesters)
30
Full-Time On Campus