B.Sc in Artificial Intelligence & Machine Learning
Program Overview
The B.Sc in Artificial Intelligence & Machine Learning at the Florida Institute of Science and Management (FLISM) is an advanced undergraduate program designed to equip students with the knowledge and skills necessary to excel in AI and ML-driven industries. This degree blends theoretical foundations with practical applications, ensuring that graduates are well-prepared to tackle real-world challenges in data science, automation, and intelligent systems.
Why pursue a B.Sc in Artificial Intelligence & Machine Learning from FLISM?
The B.Sc in Artificial Intelligence & Machine Learning at FLISM offers a cutting-edge curriculum that bridges academia and industry demands. With a strong emphasis on hands-on learning, research, and innovation, this program prepares students to become pioneers in AI technology. Whether you aspire to work in robotics, automation, healthcare, finance, or any AI-driven industry, this degree provides the necessary expertise.
Key Highlights
Earn a globally recognized degree
100% Online Program
24*7 Access
Comprehensive Curriculum
Networking Opportunities
Program Objectives
- Develop a strong foundation in Mathematics, Programming, and Data Structures.
- Master key Artificial Intelligence and Machine Learning algorithms.
- Gain expertise in Neural Networks, Deep Learning, and Natural Language Processing.
- Learn to analyze and interpret large datasets for predictive analytics.
- Build and deploy AI-powered applications and intelligent systems.
- Understand the ethical and societal implications of AI and responsible AI development.
Curriculum
The curriculum of the B.Sc in Artificial Intelligence & Machine Learning is designed to provide comprehensive learning in AI principles, data science methodologies, and computational intelligence. Students will gain proficiency in programming, algorithm development, and emerging AI technologies.
Semester 1
- Introduction to Artificial Intelligence
- Mathematics for AI
- Programming with Python
- Computer Science Fundamentals
- Data Structures & Algorithms
Semester 2
- Probability & Statistics for AI
- Machine Learning Fundamentals
- Object-Oriented Programming
- Databases & SQL for AI
- Ethics in AI
Semester 3
- Neural Networks & Deep Learning
- Natural Language Processing (NLP)
- Data Visualization & Analytics
- Cloud Computing for AI
- Research Methodologies
Semester 4
- Computer Vision & Image Processing
- Advanced Machine Learning Techniques
- Reinforcement Learning
- Big Data & AI Integration
- AI Project Management
Semester 5
- AI in Healthcare & Finance
- Robotics & Automation
- Elective I*
- Elective II*
- Capstone Project – Phase 1
Semester 6
- AI Ethics & Regulations
- AI for Business & Marketing
- Elective III*
- Elective IV*
- Capstone Project – Phase 2
Frequently Asked Questions
What is a B.Sc in Artificial Intelligence & Machine Learning program?
The B.Sc in AI & ML is an undergraduate program that provides a deep understanding of artificial intelligence technologies, machine learning models, and data science principles to develop AI-powered solutions.
What is the demand for AI & ML professionals?
With AI revolutionizing industries worldwide, AI and ML professionals are highly sought after in sectors such as healthcare, finance, automation, cybersecurity, and software development. The demand for AI experts continues to grow rapidly.
What career opportunities are available after completing this degree?
Graduates can pursue roles such as AI Engineer, Machine Learning Scientist, Data Analyst, Robotics Engineer, NLP Specialist, Business Intelligence Developer, and more.
What are the subjects taught in this program?
The program covers key areas such as Artificial Intelligence, Machine Learning, Deep Learning, Neural Networks, Data Science, Computer Vision, and AI Applications across industries.
Who should enroll in this program?
Students passionate about AI, data science, and technology, looking to build a career in the rapidly growing AI industry, should consider enrolling in this program.