Key Highlights
Study Your Way: Full-Time | Part-Time
100% Online (Synchronous + Asynchronous)
Capstone Seminar
Capstone Project
1:1 Mentorship
24/7 Learner Support
Global tech-focused curriculum
Credits: 120
About BSCS - AI Program
The Bachelor of Science in Computer Science (BSCS) – Artificial Intelligence (AI) program is structured as a 120-credit hour fully online degree that balances general education, core business knowledge, and advanced specialization. It is designed to foster a multidimensional understanding of the business world, from economic fundamentals and legal frameworks to digital innovation and global market dynamics. Students gain valuable exposure to real-world business scenarios through simulations, capstone projects, and interactive coursework-all delivered via a flexible, student-centered online platform.
Program Introduction
The Bachelor of Science in Computer Science (BSCS) – Artificial Intelligence at Florida Coastal University is an industry‐relevant program designed to develop future-ready AI professionals. It blends core computer science knowledge with hands-on learning to prepare students for today’s fast-evolving, AI-driven ecosystem. Focused on machine learning, deep learning, natural language processing, and intelligent automation, the Artificial Intelligence specialization equips students to design, train, and deploy AI-powered systems that solve complex real-world problems. Graduates are prepared to lead in AI development, robotics, intelligent systems design, and technology-driven entrepreneurial ventures with confidence and integrity.
Why Choose BSCS - AI program?
- Fully Online & Flexible Learning
- Industry-Relevant Tech Specializations
- Global Curriculum + Hands-on Projects
- Real-World Capstone Experience
- Future-Ready Skills in Programming, Data & AI
- Experienced Faculty & Mentors
What are the Program Learning Outcomes (PLOs)?
Graduates of the BSCS – AI program will be able to:
- Apply core computing principles such as programming, data structures, algorithms, and system architecture to solve real-world technology problems.
- Design, develop, and test software systems using contemporary tools, technologies, and development methodologies.
- Analyze user needs and define appropriate computing solutions that meet performance, security, and usability standards.
- Demonstrate proficiency in at least one area of specialization (IoT, Cybersecurity, Data Science, or Artificial Intelligence) by applying domain-specific skills and tools.
- Use mathematical and computational reasoning to evaluate algorithmic efficiency, system performance, and data-driven decisions.
- Assess and apply security principles to protect data, networks, and software from unauthorized access or cyber threats.
- Communicate effectively in both technical and non-technical settings through reports, presentations, and collaborative team discussions.
- Understand professional, ethical, and societal responsibilities related to the development and application of computer systems.
- Engage in lifelong learning to adapt to emerging technologies, programming languages, and computing trends.
- Collaborate effectively in multidisciplinary teams to manage projects and deliver technology solutions aligned with organizational needs.
Program Snapshot
- Mode: Fully Online (Global Access)
- Study Your Way: Full-Time | Part-Time
- Application Deadline: Rolling Admissions - Apply Anytime
- Classes: Live/Synchronous + Asynchronous
- Level: Bachelor’s
- Credits: 120
- Tuition per Credit Hour: USD 315
Program Snapshot
- Total Estimated Tuition: USD 37,800
- Enrollment Intakes: September, January, May
Scholarships:
- Institutional scholarships (merit-based and need-based)
- Deferred tuition payment plans
- Partner-sponsored aid for eligible countries
Meet the Academic Coaches
Delivered by seasoned U.S. professors and global technology leaders specializing in:
Dr. Ernest Bonat has 28+ years in software engineering and education. A leader in AI, machine learning, and programming, he currently leads Data Science at George Fox University and runs top Python communities in Oregon.
Dr. Ernest Bonat has 28+ years in software engineering and education. A leader in AI, machine learning, and programming, he currently leads Data Science at George Fox University and runs top Python communities in Oregon.
Dr. Toni Farley is an AI and NLP expert with 20+ years’ experience in academia and industry. With a Ph.D. and postdoc in molecular medicine, she leads innovation in cloud systems, cybersecurity, and research mentorship.
Dr. Toni Farley is an AI and NLP expert with 20+ years’ experience in academia and industry. With a Ph.D. and postdoc in molecular medicine, she leads innovation in cloud systems, cybersecurity, and research mentorship.
Ms. Jacqueline Corley blends computer science and Biblical leadership. Founder of GIG, she teaches AI at Langston University and inspires women to use tech for spiritual growth. Author of How to Use AI to Enhance Your Time with God.
Ms. Jacqueline Corley blends computer science and Biblical leadership. Founder of GIG, she teaches AI at Langston University and inspires women to use tech for spiritual growth. Author of How to Use AI to Enhance Your Time with God.
BSCS - AI Course Curriculum Structure
Curriculum (Course Categories and Credits)
General Education: (10*3=30 Credits)
Core Business Courses: (20*3=60 Credits)
Specialization Courses: (8*3=24 Credits)
Capstone Projects: (6 Credits)
Why Florida Coastal University?
Provisionally by the Commission for Independent Education (CIE), Florida
Designed for ambitious professionals, without financial burden
Learn at your own pace from anywhere in the world
Built for practical impact and career transformation
Connect with peers, alumni, and faculty across industries
BSCS - AI Projects
Business and technology simulations
IoT device programming
Security vulnerability assessments
Data analytics projects
AI model development
Capstone Projects
Career Pathways
Graduates of the Bachelor of Science in Computer Science (BSCS) – Artificial Intelligence program are equipped with interdisciplinary knowledge and industry-aligned skills that prepare them for a wide range of career opportunities across technology-driven domains.
Learners can pursue the following roles:
- AI Engineer
- Robotics Engineer
- Machine Learning Specialist
- Natural Language Processing (NLP) Engineer
- AI Solutions Architect
Skills You’ll Master
Software Engineering
AI & Machine Learning
Digital Marketing
Data Analysis & Visualization
Cloud Computing
Systems Architecture
Innovation & Design Thinking
Innovation & Design Thinking
BSCS - AI Tools Covered
FAQs
Q1: How do I receive my degree?
You’ll receive a digitally verifiable official transcript and degree via secure delivery.
Q2: Are classes live?
Q3: Is the program open to international learners?
Q4: Will I get job assistance?
Q5: Can I choose my specialization later?
Yes. Specialization selection can be made after completing foundational courses.
Apply Now
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