Become an Innovator in Your Field

The business environment is evolving in a way that demands new and unique skills from today’s business graduates. The Bachelor of Science in Business Administration program at City University of Seattle is designed to develop you into a highly competent analytical thinker, decision maker, and problem solver who can effectively navigate and operate within this shifting business world, which is volatile, uncertain, complex, and ambiguous.

CityU’s BSBA is available online and in a mixed-mode format. The degree strengthens your foundations in subjects that are applicable to a wide range of professional settings and prepares you for higher levels of education (MBA and DBA).

This Bachelor of Science in Business Administration is one of the first of its kind to offer core artificial intelligence courses customized for business students.

The BS in Business Administration program equips you with essential management skills, innovative problem-solving strategies, and familiarity with complex technologies including artificial intelligence, big data, and cloud computing. This Bachelor of Science in Business Administration is one of the first of its kind to offer core artificial intelligence courses customized for business students.

The BSBA program allows you to choose a specialization that’s aligned with your career goals:

  • Data Analytics for Business Decision Making: Advance your practical knowledge of techniques in artificial intelligence and business analytics and develop the ability to identify hidden insights within data.
  • Management: Develop a strong strategic vision and mindset that prepares you to pursue a variety of management positions.
  • Project Management: Learn how to organize, lead, and schedule projects in a variety of disciplines. Courses are informed by Project Management Institute (PMI®) principles, qualify for PMI Professional Development Units, and can be credited toward PMI’s Project Management Professional (PMP®) certification.
  • Specialized Study: Complete an independent study of five courses taken in a specific content area with the approval of the Program Director.

Graduates will be prepared to make decisions that are as complex as the modern business environment.

Learning Outcomes

Throughout the BSBA program, you’ll learn to:

  • Propose strategies to succeed in global business and recommend improvements that align with the company’s goals and culture.
  • Leverage technology for competitive advantage.
  • Demonstrate proficiency in primary and secondary business activities.
  • Access and evaluate relevant information to guide business decisions.
  • Deliver powerful presentations and effective business writing for diverse audiences.
  • Apply ethical principles when conducting and evaluating business.
  • Contribute to a successful team by incorporating leadership, conflict resolution, and collaboration skills.
  • Analyze and apply sustainable business practices.

Lower-Division Requirements (90)

College Composition: 5 credits
College Mathematics: 5 credits
Humanities: 15 credits
Social Science: 15 credits
Natural Science/Mathematics: 15 credits

Upper-Division Requirements (90)

Foundations of Business Operations Core

BUS 310 - Business Communications (5)

This course introduces the notion of communication as an element that stimulates decisions and/or behaviors within organizational context. In this class, an emphasis is placed on how managers can guide individual and team behavior toward fulfilling tactical and strategic objectives by engineering communication networks within the company’s social systems. This translates into identifying opportunities for establishing or breaking connections between team members or units. Key topics that will help students gain theoretical and practical knowledge and skills include communication theories, verbal, and nonverbal communication strategies, cover letters, resumes, interviews, cultural diversity, cross-cultural communication, interpersonal communication, business and professional writing and presentations, and the influence of technology such as artificial intelligence on business communication.

BUS 315 - Financial Accounting (5)

This course provides the knowledge and skills necessary for the student to comprehend financial statements and financial records and to make use of the information for management and investment decisions. Key topics include an overview of financial statements and business decisions, balance sheets, income statements, cash flow statements, sales revenue, receivables, cost of goods sold and inventory, long-lived assets and depreciation, current and long-term liabilities, owner’s equity, investments in other corporations, an introduction to financial statement analysis, and international issues dealing with financial statements.

BUS 317 - Finance (5)

Finance is a way of thinking about economic problems that involve uncertainty over time. This course is designed to provide an introductory framework for understanding how financiers think, how they break down components of a financial problem, and how they make decisions as investors and corporations in the financial market. Core concepts include the flow of cash between the financial statements, financial statement analysis, time value of money, valuation, working capital management, intermediate and long-term financing, cost of capital, capital budgeting, and securitization. In addition, this course will touch on advanced concepts including the latest issues in FinTech, such as robo-advisors, big data, blockchain technology, goal-based investing, gamification, and behavioral finance.

BUS 320 - Technology and Operations Management (5)

Technology and Operations Management is focused on transforming inputs (e.g., materials, equipment, technology, and human resources) into outputs (e.g., goods, services, decisions, and information) in an efficient and effective manner. This course helps students understand the key decision points, systems and processes, tools, and methods that facilitate the above transformation. Primary topics include developing operations strategy, manufacturing and service flows, supply chain processes, and technology management. The cohesive body of knowledge presented in this class constructs the foundation for students to effectively plan, organize, and control the value-creating activities of the firm. Materials related to the technology component of this course provide an introduction to emerging technologies and relevant methods, such as Big Data analytics, AI, and the Internet of Things. These enable firms to analyze and improve their processes and to pinpoint problems or opportunities.

BUS 330 - Economic Analysis for Business Decisions (5)

This course applies microeconomics and macroeconomics theories to real world scenarios. The primary objective of the course is to teach students how to utilize analytical tools that help to gain an in-depth understanding of the business environment; make sense of the strategic interactions of enterprises; and facilitate effective economic decision making. The concepts familiarize students with market structure, dynamics, and behaviors, including how producers and consumers interact with one another and shape market behaviors. Key topics include consumer theory, intertemporal decisions, market structure, decisions under risk, externalities and market failures, economic forces, and business cycles. Upon completion of this course, students will possess sufficient knowledge and skills to make proper judgements regarding the likely consequences of various economic events.

Emerging Technologies, Methods, and Markets Core

BUS 420 - Artificial Intelligence (AI) Business Applications (5)

The purpose of this course is to address business applications of AI with an emphasis on Deep Learning applications. This course consists of a series of workshops/case studies to give students hands-on experience related to data analysis and pattern recognition with deep learning. Key topics include image classification, clustering, forecasting, predictive analytics, language processing, and text analytics.

BUS 424 - Fundamentals of AI (5)

The purpose of this course is to enable students to develop a well-rounded understanding of artificial intelligence and its methods. The key objective is to help students comprehend the history of AI and recent developments and techniques in the field and, in particular, Deep Learning methods. An emphasis is placed on equipping students with a working knowledge of basic Machine Learning and Deep Learning, how they work, and in what situations they can be most effective and applicable. Key topics include introduction to AI, Machine Learning and optimization, Neural Networks and Deep Learning, Supervised Learning, Unsupervised Learning, and Reinforcement Learning.

BUS 426 - Business Analytics for Decision Making (5)

Today’s business professionals need to be skilled in the acquisition and analysis of relevant data sets that can be utilized to drive business strategy. An emphasis is placed on the process of gathering, analyzing, and presenting data in a way that can drive strategic decision making in modern organizations. This course examines current trends in transactional and dynamic data generation and draws upon quantitative tools to make sense of the data for market and managerial purposes. Students will learn to use common analysis methods to summarize and interpret results for the benefit of internal and external consumers.

BUS 430 - Marketing and Competitive Analysis (5)

Marketing is competitive by nature and successful marketing requires a deep understanding of one’s competitive environment. The world of big data and artificial intelligence are allowing more sophisticated marketers to define their target markets and competitive environments in new ways, opening new paths for organizations to compete. This course examines how big data and artificial intelligence are changing the ways that organizations 1) position themselves relative to their competitors, 2) define their target markets, and 3) execute successful marketing programs.

Organizational Systems, Complexity, and Strategy Core

BUS 300 - Business Dynamics (5)

This course is designed to help students understand the external environment, its building blocks, characteristics, behaviors, and impacts on organizations. The design of this class is informed by the fundamental principle that strategic success results from matching the complexity of the company with the complexity of its external environment. Accordingly, a manager’s knowledge and analysis of the external forces and variables (e.g., economic, social, cultural, political, legal, technological, and competitive forces) represent a key component of strategic decision making. In this class, the external environment is recognized as a complex system; therefore, students will be equipped with proper analytical perspectives and tools from Complexity Science to make sense of the market’s behaviors. Primary topics include the external environment as a complex system, the role of the external analysis in strategic planning and decision making, and external forces, variables, and their impacts.

BUS 304 - Organizational Behavior and Leadership (5)

In this course, leadership is operationalized as the art of facilitating the emergence of ideal collective behaviors that align strongly with organizational objectives. This particular description sheds light on the strong synergy between a leader’s understanding of the concept of organizational behavior and her/his leadership skills. An emphasis is placed on examining the formation and emergence of behavior at the individual, team, and organizational levels in parallel with the interrelationship among these three categories. Primary topics include mental models, decision making, collective behavior, organizational design, ethics, and selecting proper leadership styles.

BUS 402 - Managing Organizational Systems and Complexity (5)

Please check back soon for the full description.

BUS 495 - Strategic Management (5)

In this class students will be introduced to the key concepts, tools, and principles of strategy formulation, implementation, and evaluation. This course is designed in a unique manner to enhance students’ strategic thinking and decision-making skills through the integration of synergistic theories and concepts from functional courses including business dynamics, artificial intelligence, business analytics, financial accounting, finance, business communications, technology and operations management, economic analysis, marketing, and organizational systems and complexity. Upon completion of this course, students will possess proper knowledge and skills that play a key role in developing effective strategic plans by answering the following questions: Where are we now? Where do we want to go? How are we going to get there?

Emphasis Requirements

Data Analytics for Business Decision-Making Emphasis

BUS 440 - Introduction to Data Science (5)

The Dot-Com boom has enabled a fast transition into digitized business processes and customer relations. This transition has given organizations access to essential data to drive innovation and to adapt to rapid market changes. Organizations can utilize data science for collecting and analyzing large volumes of data generated across multiple sources to optimize business processes, improve productivity, and provide more value to their customers. A key challenge for the adoption of data science is that most resources are not easily accessible to business professionals who are a primary beneficiary of this data revolution. In this course, students pursue a “business-friendly” approach to data science. This course introduces key concepts of data science including data management, building and testing models, visualization, and real-world setup.

BUS 442 - Advanced Tools in Business Analytics (5)

In a global digital economy, customer-centric strategies drive business innovations. The web allows businesses to tap into a wealth of customer behavior in order to analyze and answer key questions such as, “Which category of our customers continue to buy our products and why?” and, “Who in our customers’ network is likely to adopt our product?” This course assumes that the tools to data mining and business analytics must be accessible to people within business domains. The course is self-contained and demands no background in programming. It is designed to take students over a series of introductory materials with an emphasis on the practical aspects of applying this knowledge to real-world business analytics problems. After taking this course, students can apply the tools provided to deliver business analytics solutions for data-driven decision making in a variety of business scenarios, such as pricing, marketing, and advertisement.

BUS 444 - Advanced Tools in Artificial Intelligence (5)

Artificial intelligence (AI) is driving the next wave in the business intelligence world. AI takes the power of business analytics and data science to areas where no prior machine learning could by imitating the way the brain learns from massive amounts of data. This course relies on the accessibility of current AI software frameworks and availability of pre-trained models to familiarize business students with the world of AI business solutions. This course is self-contained, covers the basics of AI, and includes hands-on exercises to implement AI models. By focusing on key concepts, this course makes sophisticated AI techniques accessible to students, enabling them to implement and deploy AI-powered business applications for a variety of business scenarios, such as customer sentiment analysis, service prediction, public relations, dynamic pricing, marketing, employee health, finding and matching resources (HR management), and brand analysis.

BUS 446 - AI Challenges and Research Directions (5)

AI is the fastest growing technology in businesses and industries. While AI-powered solutions are rapidly reshaping the consumer product landscape, business operations are not adopting this technology quickly enough to drive productivity and growth. This course goes beyond the established and popular AI applications and focuses on bridging the gap between the latest AI research and business applications. Through this course, state-of-the-art AI research is made accessible to students by emphasizing the conceptual breakthroughs in AI and how they will drive innovation in AI applications that can empower businesses. In addition, this course introduces current challenges in the application of AI and new directions, which may accelerate the adoption of AI for enterprise use.

BUS 448 - Strategic Decision Making under Uncertainty (5)

This course focuses on fundamentals of modern decision analysis and introduces modeling and computational methods that support strategic decision-making in areas, such as organizational management, business analysis, and policy-making. Contents are selected and integrated in a synergistic manner to help students develop modeling, computational, and analytical skills. As a result, students are able to transform a problem into a well-defined mathematical framework, solve models using a computer program, and interpret and translate results into insights for decision-making. Key topics include deterministic and network optimization, linear programming, characterizing uncertainty and risk to optimize decisions, payoffs and losses, utility and subjective probability, and Bayesian analysis. The above knowledge areas and methods can facilitate strategic decision-making related to selecting among investment alternatives, marketing a new product, healthcare policy, and costs and benefits.

Management Emphasis

BUS 462 - Strategic Consulting (5)

This course equips students with proper concepts, tools, techniques, and frameworks for assessing organizational effectiveness and fitness, identifying areas for improvement, strategy formulation, and management consulting. Students will have the opportunity to develop their strategic consulting skills by working individually and collectively on real-world cases and scenarios. Throughout this course students will create an extensive strategic management toolkit that can be applied in a wide range of industries and organizations.

BUS 464 - Design of Effective Teams and Organizations (5)

Organizational and team effectiveness depends upon the key components of a company’s system and more importantly, the synergy among these building blocks. Using the Congruence Model, students will initially gain an in-depth understanding of critical organizational components including strategy, structure, tasks, culture, behavior, and human resources. Subsequently, students will be equipped with effective design methods, tools, and techniques that help to arrange various components in a synergistic manner to provide outcomes that align strongly with external demands. From a general perspective, the concepts in this class encourage students to explore factors that lead to a congruence between strategy and collective performance.

BUS 466 - Entrepreneurship and Small Business Management (5)

This course provides an introduction to entrepreneurship whether a new venture, a small business, or a new initiative in an existing company. Topics include business planning, financing, market development, operations, management, legal issues, and social responsibility as they relate to starting and running an entrepreneurial venture or small business. Topics are presented in the context of developing an overall new venture business plan where students will develop a plan for a real or imaginary business.

PM 401 - Introduction to Project Management (5)

Introduction to Project Management utilizes a real team project to manage a project’s life cycle. Emphasis is placed on activity networks, managing resources, and creating control mechanisms that minimize risk. Project leadership is explored in the context of building effective project teams and maintaining stakeholder relationships. Students will learn and apply basic project management concepts including time and resource constraints, planning, scheduling, work breakdown structure, Gantt Charts, network diagrams, and project control.

PM 444 - Negotiation and Competitive Decision Making (5)

The course will explore concepts and skills of complex negotiations in greater depth while concentrating on refining managerial decision making to achieve better results in a variety of competitive environments. The primary focus of this course is to provide vital tools for formulating a productive, effective approach to negotiation and deal-making with a focus on procurement. Students will learn to use analytical decision-making approaches to craft both competitive and cooperative business strategies, develop interpersonal effectiveness at the table, and engineer agreements to create value.

Project Management Emphasis

PM 401 - Introduction to Project Management (5)

Introduction to Project Management utilizes a real team project to manage a project’s life cycle. Emphasis is placed on activity networks, managing resources, and creating control mechanisms that minimize risk. Project leadership is explored in the context of building effective project teams and maintaining stakeholder relationships. Students will learn and apply basic project management concepts including time and resource constraints, planning, scheduling, work breakdown structure, Gantt Charts, network diagrams, and project control.

PM 404 - Project Scheduling and Cost Management (5)

Project Scheduling and Cost Management exposes students to the techniques and tools for project scheduling and cost management. This course includes detailed discussions and a series of related learning exercises on the sequence of project activities, including creating work breakdown structures, creating integrated networks, scheduling, and project cost and schedule controls. Cost management introduces the basic approaches and methods associated with cost management, from the establishment of budgets and cost accounts to the monitoring, interpretation, and use of cost data throughout the life cycle of the project. Required prerequisites: PM 401. Recommended prerequisites: PM 409, PM 410.

PM 406 - Project Risk and Change Management (5)

This course utilizes a simulated project to teach students how to manage risk and crisis occurrence through a project's life cycle. Strong emphasis is placed on integrating SWOT, Risk Breakdown Structure, and Risk Mitigation into the overarching project life cycle. Project leadership is explored in the context of building effective project teams and maintaining stakeholder relationships, especially in times of uncertainty and crisis. Students will learn and apply basic project management concepts related to identifying, classifying, and mitigating risk. Prerequisites: PM 404 and PM 408.

PM 442 - Introduction to System Dynamics (5)

This course encourages a transition in students’ managerial perspective from linear into nonlinear and holistic, which helps to develop a more realistic understanding of organizational systems. Equipped with proper system dynamics modeling tools and techniques, students will learn to visualize a business organization in terms of the structures and policies that create dynamics and regulate performance. In addition, students will learn about simulation methods that enable them to experience the long-term side effects of decisions, systematically explore new strategies, and develop an understanding of complex systems within a low-risk environment.

PM 444 - Negotiation and Competitive Decision Making (5)

The course will explore concepts and skills of complex negotiations in greater depth while concentrating on refining managerial decision making to achieve better results in a variety of competitive environments. The primary focus of this course is to provide vital tools for formulating a productive, effective approach to negotiation and deal-making with a focus on procurement. Students will learn to use analytical decision-making approaches to craft both competitive and cooperative business strategies, develop interpersonal effectiveness at the table, and engineer agreements to create value.

Specialized Study Emphasis

Student must complete 25 upper-division credits, which must be approved by the Program Director.

The Bachelor of Science in Business Administration is designed to strengthen your foundation in subjects that are applicable to a wide range of professional settings and prepares you to seek graduate-level programs, including an MBA and DBA.

The BSBA program will prepare you for a variety of management and leadership roles in fields such as:

  • Business analytics
  • Data analytics
  • Finance
  • Marketing
  • Operations management
  • Project management

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.

Tuition Cost

Learn more about tuition and fees for our undergraduate, graduate, and doctoral programs.

Financial Aid Opportunities

At CityU, we’re committed to helping students achieve their academic goals no matter their economic situations. Our financial aid counselors are here to find the resources you need to pay for your education, including grants, loans, work study, and scholarships.

Learn more about financial aid opportunities at CityU, or contact our Financial Aid Team at 800.426.5596, 206.239.4540, or finaid@cityu.edu.

Military Tuition Benefits

As a Yellow Ribbon school, CityU is proud to serve those who have served in the military. We offer military tuition discounts for active-duty servicemembers and their spouses and accept military benefits such as the Post 9/11 GI Bill® and Tuition Assistance.

Learn more about military tuition benefits, VA benefits, and military partnership programs designed to help you reach your military and career goals.

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