Department of

AI & HCI

Department of

Cognitive Science

Department of

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. and Cognitive Science, 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!

Department of Cognitive Science

Major Requirements

• Major Core Courses: 26 courses

  • Cluster A: Math (6)
  • Cluster B: Introductory Courses (2)
  • Cluster C: Foundation/ Advanced Courses (16)
  • Cluster D: Laboratory/Research/Seminar Courses (2)
  • Major Elective courses: 5 courses
  • Language Requirements: 4 courses

  General Education Requirements

  • 8 Elective Courses including the 7-unit breadth requirements

  1ST Semester (18 credits)

  Course Name	Credit
  Linear Algebra	3
  Basic Statistics	3
  Leadership and Teamwork	3
  Effective Communication Speaking as Storytelling	3
  Computer Graphics and UI/UX Design	3
  Korean Beginner 1	3

  2nd Semester (18 credits)

  Course Name	Credit
  Introduction to Computer Science and Programming	3
  Python I	3
  Design Thinking Process	3
  Positive Balance and Mental Health	3
  Writing and Reasoning	3
  Korean Intermediate 1	3

  3rd Semester (18 credits)

  Course Name	Credit
  Statistics & Probability	3
  Introduction to Data Analysis	3
  Introduction to Computation	3
  Introduction to Java Script Programming 1	3
  Consulting Process I	3
  Korean Advanced 1	3

  4th Semester (18credits)

  Course Name	Credit
  Introduction to Algorithms in Data Structure	3
  Introduction to Database	3
  Cloud Platform	3
  Algorithm Practice Using Software Tools	3
  Consulting Process II	3
  Korean Writing for Job Search	3

  5th Semester (18 credits)

  Course Name	Credit
  Foundations of Applied Statistical Methods	3
  Introduction to Database Management	3
  Data Mining	3
  Data Visualization	3
  Data Structures and Data Management	3
  AI for Business	3

  6th Semester (18 credits)

  Course Name	Credit
  Introduction to Data Science: Prediction, Inference, Causality Calculus	3
  Tools and Techniques for Software Development	3
  Causal Inference	3
  Logic and Computation	3
  Foundations of Sequential Programs	3
  Practical Data Science in R	3

  7th Semester (18 credits)

  Course Name	Credit
  Algorithm Design and Data Abstraction	3
  Computational Inference	3
  Generalized Linear Models and their Applications	3
  Applications of Causal Inference Methods	3
  Computational Statistics and Data Analysis	3
  Research and Communication in Business and Engineering	3

  8th Semester (6 credits)

  Course Name	Credit
  Independent Study in AI & HCI (Option 1)	3
  Student Internship (Option 2)	3

  TOTAL CREDIT: 132