Business and Data Analytics, Bachelor of Science
The Bachelor of Science in Business and Data Analytics (BS BDA) represents an interdisciplinary program 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 business and data analytics could be the differentiating factor between successful and failing companies in the present and upcoming years.
The BS BDA’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 business and data analytics within an 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, BS BDA’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
This program will prepare students to:
1. Identify, acquire, cleanse, and effectively organize data for analysis [Data Acquisition].
2. Analyze data and construct a model of the business need and potential data-driven solutions [Data Analysis and Modeling].
3. Utilize an analytics model to find the most optimal business solution and to propose an effective organizational decision [Business Solution Optimization and Decision Making].
4. Use visualization tools to evaluate the effectiveness of proposed data-driven solutions [Visualization and Monitoring].
5. Conduct internal and external audits to generate useful data to formulate effective strategies, develop project plans to implement strategies, and ensure organizational fitness [Strategy Generation and Organizational Fitness].
Admission Requirements
City University of Seattle's undergraduate admission requirements, found under Admissions in this 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 Math 138 College Algebra or an equivalent course.
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General Education Requirements
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Total Credits
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College Composition (CC) I** & II
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10 Credits
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Quantitative/Symbolic Reasoning (QSR)
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5 Credits
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Humanities (HU)
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10 Credits
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Social Sciences (SS)
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15 Credits
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Natural Sciences (NS)
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15 Credits
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**If College Composition I is waived through transfer or articulation, students must take an additional 5 quarter credits from a humanities discipline.
Preparatory Courses (10 Credits)
Students entering the Business Intelligence & Analytics Emphasis are not required to complete these preparatory courses. Students must still meet the CityU General Education requirement of MATH 138 or higher.
Students entering the Data Technology Management Emphasis are required to complete these preparatory courses. These preparatory courses may be applied towards CityU's General Education and Lower Division credit requirements.
| CS 251 | Statistical Computing (NS) | 5 |
| IS 201 | Fundamentals of Computing | 5 |
Data Analytics Major (55 Credits)
| BUS 300 | Business Dynamics | 5 |
| BUS 320 | Technology and Operations Management | 5 |
| BUS 402 | Managing Organizational Systems and Complexity * | 5 |
| BUS 426 | Business Analytics for Decision Making (NS) | 5 |
| BUS 440 | Introduction to Data Science * | 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 |
| PM 401 | Introduction to Project Management | 5 |
| DA 495 | Data Analytics Capstone | 5 |
Business Intelligence & Analytics Emphasis (35 Credits)
For the Business Intelligence & Analytics Emphasis, students complete the courses below including 10 credits of upper division electives.
| BUS 455 | Marketing Analytics | 5 |
| BUS 456 | People Analytics | 5 |
| BUS 457 | Enterprise Analytics | 5 |
| BUS 462 | Strategic Consulting | 5 |
| GSCM 410 | Data Analytics for Supply Chain Excellence | 5 |
| | Upper Division Electives (10 Credits) | 35 |
Data Technology Management Emphasis (35 Credits)
For the Data Technology Management Emphasis, students complete the following courses.
| IS 302 | Human Computer Interaction | 5 |
| IS 360 | Database Technologies | 5 |
| DS 410 | Programming in Data Analytics | 5 |
| IS 456 | Database Systems Management | 5 |
| CS 475 | Artificial Intelligence | 5 |
| DS 476 | Data Analysis and Presentation | 5 |
| DS 479 | Data Mining and Machine Learning | 5 |