Data Analytics, Bachelor of Science
The Bachelor of Science in Data Analytics (BSDA) represents an interdisciplinary program between School of Business & Management (SBM) and School of Technology & Computing (STC) that integrates expertise from key domains including data science, business decision-making, statistics, and computing. The data analytics market is growing rapidly as a result of the increasing quantity of data and firms’ reliance on business intelligence for efficiency, growth, and development. This powerful trend indicates that investing in data analytics could be the differentiating factor between successful and failing companies in the present and upcoming years.
The BSDA’s curriculum is carefully designed to contribute to the increasing demand for analytics capabilities by cultivating data-driven professionals who can take vast volumes of data and uncover patterns to extract actionable insights that improve organizational performance. The offerings of this program will help students acquire a holistic understanding of business and organizational systems and master the technical aspects and applications of data analytics within a business and enterprise context.
The project-based classes will enable students to gain insight into practical dimensions of descriptive, diagnostic, predictive, and prescriptive analytics as well as the primary steps in the data analytics process (e.g., data mining, data management, statistical analysis, and data presentation/visualization). The practical training provided by highly experienced professionals will familiarize students with trending data analytics tools and technologies and how they can contribute to successful business decision-making and planning.
Equipped with knowledge and expertise for developing cost-effective solutions and improving decision-making and competitive power, BSDA’s graduates will be prepared for a myriad of career opportunities in a variety of fields, such as retail, marketing, finance, manufacturing, healthcare, research and development, and education. Professional titles that require a knowledge of data analytics include business intelligence analyst, data analyst, data engineer, quantitative analyst, data analytics consultant, operations analyst, marketing analyst, and project manager.
Program Outcomes
The Bachelor of Science in Data Analytics will prepare students to:
Integrate foundational knowledge of all areas of data analytics.
Apply fundamental principles and practices of data analytics.
Apply critical and ethical thinking to solve problems in data analytics.
Evaluate data to inform decisions and solve problems in data analytics.
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.
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 listed below. 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 through the course CS 251 Statistical Computing or an equivalent course.
|
General Education Requirements
|
Total Credits
|
|
College Composition II (CCII)
|
5 Credits
|
|
Quantitative/Symbolic Reasoning (CM/QSR)
|
5 Credits
|
|
Humanities (HU)
|
15 Credits
|
|
Social Sciences (SS)
|
15 Credits
|
|
Natural Sciences (NS)
|
15 Credits
|
Preparatory Courses (10 credits)
| CS 251 | Statistical Computing (QSR for select programs OR NS) | 5 |
| IS 201 | Fundamentals of Computing | 5 |
Core Requirements (30 credits)
| BUS 300 | Business Dynamics | 5 |
| BUS 320 | Technology and Operations Management | 5 |
| BUS 402 | Managing Organizational Systems and Complexity * | 5 |
| CS 302 | Human Computer Interaction | 5 |
| IS 360 | Database Technologies | 5 |
| PM 401 | Introduction to Project Management | 5 |
Data Analytics Major (60 credits)
| BUS 440 | Introduction to Data Science * | 5 |
| BUS 426 | Business Analytics for Decision Making (NS) | 5 |
| BUS 442 | Advanced Tools in Business Analytics * | 5 |
| BUS 444 | Predictive and Prescriptive Analytics * | 5 |
| BUS 446 | Data Visualization and Dashboards * | 5 |
| BUS 448 | Strategic Decision Making Under Uncertainty * | 5 |
| IS 410 | Programming in Data Analytics * | 5 |
| IS 456 | Database Systems Management | 5 |
| CS 475 | Artificial Intelligence | 5 |
| CS 476 | Data Analysis and Presentation | 5 |
| CS 479 | Data Mining and Machine Learning | 5 |
| DA 495 | Data Analytics Capstone | 5 |