A minimum of 45 transferable university quarter credits are required to enroll in the following programs. There are no exceptions.
iTEP Plus: 4.0
TOEFL iBT: 76
University of Cambridge ESOL Exams: FCE First Certificate in English
IELTS (International English Language Testing System): Band 6.0
CAEL (Canadian Academic English Language): Overall 60; Writing 60
PTE (Pearson Test of English): 51
The EIKEN Test in Practical English Proficiency: EIKEN Grade Pre-1
WEST-B (Washington Educator Basic Skills Test): OSPI passing scores on Reading & Writing Sections
ELS: ELS Level 109 Intensive Program
The Bachelor of Science in Data Science (BSDS) is interdisciplinary and requires the effective integration of three components to produce meaningful results. The three components include the domain that provides the data; statistics for analysis, modeling, and inference; and computer science for data access, management, protection, and effective processing in modern computer architectures. This degree prepares graduates for a myriad of opportunities to work in and advance their data science careers.
Learning Outcomes
The Bachelor of Science in Data Science (BSDS) will prepare students to:
Apply foundational knowledge of all areas of data science
Integrate fundamental principles and practices of data science
Apply critical and ethical thinking to solve problems in data science
Evaluate data to inform decisions and solve problems in data science
Create the ability to develop and express ideas while applying a variety of delivery models, genres, and styles
Collaborate effectively on diverse teams to accomplish a common goal
More information:click here
Required Credits (180 Credits)
Preparatory Courses (15 Credits)
CS 132 Computer Science 1: 5 credits
CS 251 Statistical Computing (QSR): 5 Credits
IS 201 Fundamentals of Computing: 5 Credits
Core Requirements (45 Credits)
CS 302 Human-Computer Interaction: 5 Credits
CS 330 Network Communications: 5 Credits
CS 351 Discrete Mathematics in Computing (NS): 5 Credits
IS 312 Web Design: 5 Credits
IS 340 Operating Systems: 5 Credits
IS 345 Cybersecurity: 5 Credits
IS 350 Systems Analysis and Design: 5 Credits
IS 360 Database Technologies: 5 Credits
IS 471 Cyber Ethics (SS): 5 Credits
Depth of Study: Data Science (30 Credits)
CS 469 423 Data Structures and Algorithms in Computing: 5 Credits
CS 475 Artificial Intelligence: 5 Credits
CS 476 Data Analysis and Presentation: 5 Credits
CS 479 Data Mining and Machine Learning: 5 Credits
CS 483 Mathematics for Machine Learning (NS): 5 Credits
CS 484 Big Data Systems: 5 Credits
Choice (10 credits)
Information Systems
IS 456 Database Systems Management: 5 Credits
IS 457 Enterprise Systems: 5 Credits
Information Technology
IS 470 IT Service Management: 5 Credits
IS 472 IT Compliance: 5 Credits
Cybersecurity
CS 481 Network Security: 5 Credits
CS 487 Data Security: 5 Credits
Internship
CS 493 Technology and Computing Internship (Repeatable): 5 Credits
Capstone (5 Credits)
CS 497 Technology and Computing Capstone: 5 Credits
The Bachelor of Science in Data Science program will prepare you for a career in the growing field of data science, including:
Data security
Corporate investigations
Cybercrime
Risk analysis
Information assurance
Networking Opportunities
At CityU, you’ll have the opportunity to expand your professional network by connecting with faculty working in your field, students from around the globe, and alumni employed at Seattle’s top companies. Plus, you’ll be part of a supportive community that’s dedicated to helping you reach your career goals.
International student health insurance for academic students per quarter: $390
