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!
- 1st Semester (17 credits)
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Course Name Credit Leadership and Teamwork 3 User Experience Design & Development 3 Diversity and Global Citizenship 3 Korean Beginner 1 2 Calculus 1 3 Introduction to Computing System 3 - 2nd Semester (17 credits)
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Course Name Credit Design Thinking Process 3 Positive Balance and Mental Health 3 Writing and Reasoning 3 Korean Beginner 2 2 Calculus 2 3 Linear Algebra 3 - 3rd Semester (17 credits)
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Course Name Credit Consulting Process 1 3 Advanced Korean 1 2 Probability and Statistics 3 Introduction to Data Analysis 3 Python 1 3 Introductiton to Computation 3 - 4th Semester (17credits)
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Course Name Credit Discrete Math and Mathematical Reasoning 3 Advanced Korean 2 2 Introduction to Database Management 3 Computer Programming with Python 3 Algorithm Practice Using Software Tools 3 Object Oriented Design and Programming 3 - 5th Semester (17 credits)
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Course Name Credit Introduction to Algorithms and Data Structure 3 Data Visualization 3 Principles of Machine Learning 3 Deep Learning 2 Foundations of Applied Statistical Methods 3 Bigdata Platform 3 - 6th Semester (17 credits)
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Course Name Credit Introduction to Data Science 3 Tools and Techniques for Software Development 2 Causal Inference 3 Data Mining 3 Practical Data Science in R 3 Advanced Bigdata Tools 3 - 7th Semester (17 credits)
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Course Name Credit Algorithm Design and Data Abstraction 3 Computational Inference 3 Applications of Causal Inference Methods 3 Computational Statistics and Data Analysis 3 Capstone Project 1 2 Generalized Linear Models and their Applications 3 - 8th Semester (17 credits)
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Course Name Credit Baysian Decision and Risk Analysis 3 Advanced Data Visualization 3 Capstone Project 2 2 Independent Study in Data Science 3 General Electives 6 Student Internship (option)