In a data-driven economy, harnessing the power of business analytics can help you create meaningful insights and make strategic, ethical decisions that will enhance your organization and your career.
Businesses and institutions of every size are leveraging the power of data analytics to innovate and make more effective decisions. Having the skills to understand how to analyze data and apply it to your industry can help you stand out in data-driven organizations. A Master of Science in Business Analytics from the Redlands School of Business & Society gives you a unique edge by developing both your business acumen and analytical decision-making.
The 18-month MSBA program is tailored for a wide range of student backgrounds and experiences to gain the necessary business and technical skills that are highly valued in this fast-growing field. A quantitative bachelor’s degree or quantitative coursework is not a prerequisite to apply. However, it is highly recommended that you study or understand the fundamentals of statistics in order to succeed.
As a Redlands School of Business & Society student, you are welcomed by a 30,000+ alumni network and are invited and encouraged to attend speaker series events and activities on a range of contemporary business topics, including purposeful and ethical leadership.
Upon successful completion of the program, graduates will be able to:
BUAN 600: MSBA Program Orientation (0)
A prerequisite for all other MSBA courses, this course introduces students to the MSBA curriculum and the approach to graduate academic engagement offered at the University of Redlands School of Business and its unique learning community.
BUAN 610: Data Ethics for Business (4)
This course evaluates the ethical, social, and legal ramifications of the choices we make at different stages of data analysis and information privacy, and the impact of those choices on managerial decision-making.
BUAN 615: Competing with Analytics (4)
This course examines organizational contexts for business analytics. Focus is on creating competitive advantage across business functions such as marketing, operations, finance, human resources, R&D, and supply chain through strategic use of analytics.
BUAN 620: Data Science Foundations (4)
This course provides an in-depth understanding of data, data technologies, and techniques essential to effective analytics. The course also includes fundamental concepts and skills to effectively manage, clean, integrate, pre-process, and transform data for analytics using industry-standard tools such as Python or R.
BUAN 630: Data Visualization & Storytelling (4)
This course evaluates the role of descriptive analytics, both statistical measures and visualization, in delivering organizational value to decision-making contexts. Coursework includes use of spatial-temporal data for “storytelling” and the effective communication of results to organizational decision-makers.
BUAN 631: Data-Driven Decision-Making (4)
This course focuses on descriptive and predictive analytics for decision-making from a variety of business disciplinary perspectives. Important elements include identification of data-driven decision-making contexts in business, ascertaining data needs, analyzing data, interpreting and communicating results, and ultimately the value proposition of analytics.
BUAN 640: Data Mining for Predictive Analytics (4)
This course provides an overview of data mining concepts, process, and popular methods in the context of business. Supervised and unsupervised methods are covered using large, real-life business datasets, with statistical modeling and machine learning support provided by programming. Spatial data mining, privacy issues, and pitfalls of data mining are discussed.
BUAN 651: Prescriptive Analytics for Managerial Decision-Making (4)
This course provides students with an understanding of the role prescriptive analytics plays in organizational decision-making. Topics include quantitative methods such as optimization, simulation, forecasting, supply chain management, and project management for value creation in business functions.
Students choose from one of the following courses below to complete the elective course requirement.
BUAD 658: Accounting and Finance for Managers (4)
This course focuses on the role of accounting and finance in managerial decision-making, including how managers access capital, invest in resources, budget operations, and report economic events.
BUAN 691: Introduction to Location Analytics and Marketing (4)
Students are introduced to the fundamentals of location analytics, including location value and spatial maturity and growth across business functions. Moving from fundamentals, the course focuses on the domain of marketing with focus on marketing applications of GIS and location analytics to enhance customer value by understanding, examining, and predicting the needs and preferences of the modern customer. Topics include environmental scanning, market segmentation, target marketing and promotions, and development of an integrated marketing plan using GIS as an analytic tool. This course may be substituted with GISB 691: Introduction to Location Analytics and Marketing.
BUAN 694: Location Analytics and Decision-Making (4)
This course focuses on decision-making spanning various stages of the location value chain in businesses employing GIS and location analytics. Emphasis is on illustrations of the process by which GIS and location analytics projects and business applications are planned, developed, and implemented. Topics include location analytics and spatial enablement in the enterprise, spatial decision support, location analytics to examine big data, social media, internet of things, mobile technologies and their spatial components, and costs, benefits, risks, and ethical implications of spatial projects and applications. This course may be substituted with GISB 694: Location Analytics and Decision-Making.
BUAN 660: Managerial Finance (4)
This course provides an overview of financial management tools used in analyzing and developing strategies for making business decisions. Topics include time value of money, bond and stock valuation, risk and return, capital budgeting, capital structure and dividend policy, working capital management, options, and their applications in corporate finance.
BUAN 683: Marketing Analytics (4)
Examination of the strategic planning process, with emphasis on resource allocation decisions driven by marketing analytics. Focus on the use of quantitative and data analysis tools to define optimal marketing mix, perform effective analysis of customers and digital marketing campaigns, as well as integrate spatial thinking in decision-making. This course may be substituted with MGMT 683: Marketing Analytics.
INTB 655: Global Environment for Business (4)
This course explores the theoretical and practical concepts of geopolitical and economic relations to evaluate the effects of globalization on business. Focus is on evaluating and formulating strategic responses to diverse political, economic, and social factors regarding the risks they present for international trade and investment, resource allocation decisions, and organizational structures. This course may be substituted with INTB 670: International Area Studies.
MGMT 631: Management and Organizational Behavior (4)
This course focuses on key business areas such as managing individual performance, team and intergroup dynamics, leadership, human resource management, organizational design, decision-making, and management of change.
MGMT 680: Marketing Management (4)
This course explores the crucial aspects of marketing with emphasis on the customer and the marketing mix and includes development of analytical and critical thinking skills through case study, and the design and assessment of a basic marketing plan.
BUAN 695: Analytics Capstone (4)
This course is the culmination of the MSBA program and includes an applied analytics project. Using knowledge gained throughout the program, students work on a real-world project that requires strategic deployment of analytics. Emphasis rests on improving decision-making and communicating the value generated by analytics.