Applied Computer Science, Bachelor of Science

The Bachelor of Science in Applied Computer Science (BSACS) program provides students with the knowledge, skills, and competency to participate in applying Computer Science to specific domains successfully. Topics include object-oriented, functional, and statistical programming, network, operating systems, database, web application, discrete math for data structures and algorithms, system analysis and design, cybersecurity, human-computer interaction, and cyber ethics required to deliver Applied Computer Science projects, as well as maintaining the professional skills needed to advance in the Technology and Computing field. Students will be able to have the option to pursue a specialized study in Artificial Intelligence, Cybersecurity, Data Science, Information Systems, and Information Technology to advance the Applied Computer Science Technology and Computing fields.

Program Outcomes

This program will prepare students to:

Integrate a foundational knowledge of all areas of applied computing (General Computing Knowledge).

Apply fundamental principles and practices of applied computing (Applied Computing Principles and Practices).

Apply critical and ethical thinking to solve problems in applied computing (Critical and Ethical Thinking).

Evaluate the data to inform decisions and solve problems in applied computing (Quantitative Literacy).

Create the ability to develop and express ideas while applying a variety of delivery models, genres, and styles (Communication).

Collaborate effectively on diverse teams to accomplish a common goal (Collaboration).

Admission Requirements

City University of Seattle's undergraduate admission requirements, found under Admissions in the catalog menu, apply to this program. 

Total Required Credits (180 Credits)

Lower Division Requirements (90 Credits)

Students must meet General Education requirements.  This is typically completed within the 90 required lower division credits. See the General Education Requirements section of this catalog for more detailed information.

For this program, Quantitative/Symbolic Reasoning is met with the course MATH 141 Precalculus or higher.

General Education Requirements

Total Credits

College Composition (CC) I** & II 

10 Credits

Quantitative/Symbolic Reasoning (QSR)

5 Credits

Humanities (HU)

10 Credits

Social Sciences (SS)

15 Credits

Natural Sciences (NS)

15 Credits

**If College Composition I is waived through transfer or articulation, students must take an additional 5 quarter credits from a humanities discipline.

Pre-Entry Requirement (0 Credit)

Students must take this course in the first quarter of enrollment. Students may take another program requirement concurrently.

CS 100STC BS Orientation to Bachelor's Programs

0

Preparatory Courses (15 Credits)

CS 132Computer Science I

5

CS 251Statistical Computing (NS)

5

IS 201Fundamentals of Computing

5

Core Requirements (45 Credits)

IS 302Human Computer Interaction

5

CS 330Network Communications

5

CS 351Discrete Mathematics in Computing (NS)

5

IS 312Web Design and Programming

5

CS 340Operating Systems

5

IS 345Cybersecurity

5

IS 350Systems Analysis and Design

5

IS 360Database Technologies

5

IS 471Cyber Ethics (SS)

5

Specialized Study (30 Credits)

Students can design a specialized study with the approval of the Program Manager. Students can choose 6 courses (30 credits) from any upper-division major within university or the School of Technology and Computing. The school provides the following courses in Artificial Intelligence, Computer Science, Cybersecurity, Data Science, Information Systems, or Information Technology.

Customized: The specialized study must be approved by the Program Manager. 

Artificial Intelligence (AI)

AI 410Artificial Intelligence Programming

5

AI 420Natural Language Processing

5

AI 430Current Topics in Artificial Intelligence

5

Computer Science (CS)

CS 440Software Quality Assurance

5

CS 445Software Process Management

5

CS 451Frontend Web Development

5

CS 452Backend Web Development

5

CS 469Data Structures and Algorithms in Computing

5

CS 475Artificial Intelligence

5

Cybersecurity (CY)

CY 467Systems Security

5

CY 468Ethical Hacking

5

CY 481Network Security

5

CY 487Data Security

5

CY 488Software Security

5

CY 489Component Security

5

Data Science (DS)

DS 410Programming in Data Analytics

5

DS 476Data Analysis and Presentation

5

DS 479Data Mining and Machine Learning

5

DS 483Mathematics and Statistics for Machine Learning (NS)

5

DS 484Big Data Systems

5

Information Systems (IS)

IS 401eCommerce Systems

5

IS 431Information Systems and Technology

5

IS 456Database Systems Management

5

IS 457Enterprise Systems

5

Information Technology (IT)

IT 428System Administration

5

IT 434Cloud Computing

5

IT 470IT Service Management

5

IT 472IT Compliance

5

Electives (10 Credits)

Students may select two electives, which were not taken before, from any upperdivision major courses or undergraduate courses within the School of Technology & Computing or complete the internship. Students requiring more skills may take three CS 450 seminar courses in sequence for their internship preparation before starting their internship.

Seminar

Students can take three CS 450 seminar courses after taking 15 credit hours for core requirements and before taking either CS 493 Technology and Computing Internship or CS 497 Technology and Computing Capstone. Each enrollment must be preapproved by the Program Manager.

CS 450ABachelor's Seminar I in Special Technology *

2

CS 450BBachelor's Seminar II in Special Technology *

2

CS 450CBachelor's Seminar III in Special Technology *

1

Internship

This course is repeatable for credit. Each enrollment must be pre-approved by the Program Manager.

CS 493Technology and Computing Internship *

5

Capstone (5 Credits)

CS 497Technology and Computing Capstone *

5

Courses with an asterisk (*) after their title have a pre- or co-requisite.