Why Choose JCFS
Get the skills you need to excel in the fast-paced world. We offer a blend of theory and practical experience that will allow you to build a resourceful and flexible mind.
Our career-focused programs include
at least one experiential
learning
opportunity.
We work with industry leaders to make sure the skills you learn in class are the ones you'll need on the job.
Our faculty members have industry experience and
will share their real-world knowledge with you.
- If you want to start your post-secondary education, make a career shift or improve your education with postgraduate studies, we can find the right pathway for you!
- JCFS offers you with practical skills and problem-solving knowhow, gets you collaborating with a diverse range of students and professors and delivers a unique learning environment. Our programs are purposeful in every way: outcomes, career-readiness, and work skills. Enjoy a wide range of programs and degree offerings. Flexible streams give you more choice to pursue your education, your way. Our applied research approach means you work directly with professor and industry partners on research projects that will advance your education and career. Gain practical, career-enhancing experience that keeps your education in tune with the latest in the field.
- We take top-spot in a survey of employer satisfaction of its graduates. Your JCFS education will be recognized and respected by employers.
Bachelor of Science in Artificial Intelligence (B.S. in AI)
In our innovative AI (Artificial Intelligence) four-year undergraduate program, you'll immerse yourself in a cross-disciplinary blend of computer science, statistics, and business, equipping you with the expertise to craft solutions across IT industries using artificial intelligence (A.I.), machine learning, deep learning, human computer interaction (HCI) and data science/analytics.
This program is designed to provide students with a comprehensive understanding of AI and its applications. It is a 126-credit program that can be completed Online or On-campus in 4 years, providing students with flexibility and convenience. The program's curriculum includes foundational courses in AI and human computer interaction, as well as advanced topics such as computer vision and natural language processing.
The cost of the program is competitive and affordable, making it a great value for students looking to advance their careers in the field of AI and human and computer interaction. Students have the opportunity to work on real-world projects, allowing them to apply their knowledge in practical settings.
.Leadership and Teamwork (3 credits)
.User Experience Design & Development (3 credits)
.Diversity and Global Citizenship (3 credits)
.Korean Beginner 1 (2 credits)
.Calculus 1 (3 credits)
.Introduction to Computing System (3 credits)
.Design Thinking Process (3 credits)
.Positive Balance and Mental Health (3 credits)
.Writing and Reasoning (3 credits)
.Korean Beginner 2 (2 credits)
.Python 1 (3 credits)
.Linear Algebra (3 credits)
.Consulting Process 1 (3 credits)
.Advanced Korean 1 (2 credits)
.Statistics with Software Tools (3 credits)
.Introduction to Database (3 credits)
.Computer Programming with Python (3 credits)
.Operating System (3 credits)
.Discrete Math and Mathematical Reasoning (3 credits)
.Advanced Korean 2 (2 credits)
.C/C++ Programming Language (3 credits)
.Principles of Machine Learning (3 credits)
.Introduction to Algorithms and Data Structure (3 credits)
.Object Oriented Design and Programming (3 credits)
.Algorithm Practice Using Software Tools (3 credits)
.Data Visualization (3 credits)
.Deep Learning (3 credits)
.Software Engineering (3 credits)
.Foundations of Applied Statistical Methods (3 credits)
.Data Communications and Network Fundamentals (2 credits)
.Introduction to Data Science (3 credits)
.Robotics (3 credits)
.Embeded Software and IOT (3 credits)
.Generative AI (3 credits)
.Automata and Compilor Design (2 credits)
.Human Computer Interaction (3 credits)
.Advanced Deep Learning (3 credits)
.Multimedia Signal Processing (3 credits)
.Advanced Machine Learning (3 credits)
.Capstone Project 1 (2 credits)
.Human AI Interaction (3 credits)
.Human-Centered Design and Innovation (3 credits)
.Advanced Robotics (3 credits)
.Advanced Data Visualization (3 credits)
.Natural Language Processing (3 credits)
.Gheneral Electives (8 credits)
.Student Internship (optional)
Total Credit: 136,
Minimum Graduation Credits: 126
Bachelor of Science in Data Science (B.S. in Data Science)
The Data Science four-year advanced diploma program will give you what you need to meet the high demand for skilled employees in the tech industry. The data science program recognizes the industry demand for full stack data scientists who are qualified to fill the roles of data scientist, data analyst, data engineer, or machine learning engineer as needed, and also apply business analysis skills to effectively communicate how artificial intelligence/machine learning/deep learning can be used in business models. Plus, you'll get to work on exciting, hands-on projects developing IT solutions.
As a student in the data science program, you'll gain the skills to provide existing businesses and emerging startups with the tools they need to thrive in the digital revolution. This eight-semester program also uses a hands-on, applied approach to the field of A.I, giving you the broad range of skills needed to excel in this booming industry.
This program is designed for students with a strong mathematical or quantitative background who are passionate about drawing meaningful knowledge from data to drive business decision-making or research output. The students will develop the analytical and technical skills to use data science to guide strategic decision making. If you would like to examine data mining, machine learning and data visualization, and develop the skills to communicate data insights to key stakeholders effectively, apply now!
.Leadership and Teamwork (3 credits)
.User Experience Design & Development (3 credits)
.Diversity and Global Citizenship (3 credits)
.Korean Beginner 1 (2 credits)
.Calculus 1 (3 credits)
.Introduction to Computing System (3 credits)
.Design Thinking Process (3 credits)
.Positive Balance and Mental Health (3 credits)
.Writing and Reasoning (3 credits)
.Korean Beginner 2 (2 credits)
.Calculus 2 (3 credits)
.Linear Algebra (3 credits)
.Consulting Process 1 (3 credits)
.Advanced Korean 1 (2 credits)
.Probability and Statistics (3 credits)
.Introduction to Data Analysis (3 credits)
.Python 1 (3 credits)
.Introductiton to Computation (3 credits)
.Discrete Math and Mathematical Reasoning (3 credits)
.Advanced Korean 2 (2 credits)
.Introduction to Database Management (3 credits)
.Computer Programming with Python (3 credits)
.Algorithm Practice Using Software Tools (3 credits)
.Object Oriented Design and Programming (3 credits)
.Introduction to Algorithms and Data Structure (3 credits)
.Data Visualization (3 credits)
.Principles of Machine Learning (3 credits)
.Deep Learning (2 credits)
.Foundations of Applied Statistical Methods (3 credits)
.Bigdata Platform (3 credits)
.Introduction to Data Science (3 credits)
.Tools and Techniques for Software Development (2 credits)
.Causal Inference (3 credits)
.Data Mining (3 credits)
.Practical Data Science in R (3 credits)
.Advanced Bigdata Tools (3 credits)
.Algorithm Design and Data Abstraction (3 credits)
.Computational Inference (3 credits)
.Applications of Causal Inference Methods (3 credits)
.Computational Statistics and Data Analysis (3 credits)
.Capstone Project 1 (2 credits)
.Generalized Linear Models and their Applications (3 credits)
.Baysian Decision and Risk Analysis (3 credits)
.Advanced Data Visualization (3 credits)
.Capstone Project 2 (2 credits)
.Independent Study in Data Science (3 credits)
.General Electives (6 credits)
.Student Internship (optional)