The University of Redlands School of Business now offers all undergraduate College of Arts and Sciences (CAS) students an accelerated pathway to the Master of Business Administration (MBA) or the Master of Science in Business Analytics (MSBA) degree.
48 units with a mix of theory and practical application focusing on critical 21st Century Business Skills
3 foundation courses covering finance/accounting, data analytics, and managerial economics
4 core courses covering organizational behavior, information management, competing with analytics, and ethics and society
1 culminating capstone course featuring corporate sustainability
Study business abroad opportunities
Available at Redlands and other School of Business regional campuses, as well as hybrid/online
For more information about the Redlands MBA, visit https://www.redlands.edu/mba
Think and plan strategically
Solve complex problems that require analytical and creative problem-solving skills
Effectively and clearly communicate, negotiate, and present ideas
Work in teams and collaborate effectively
Apply reason, and ethical thinking, to determine how a proposed solution may affect a company or the wider community
Understand money and the role of finance in an organization
Understand the role of marketing in identifying markets, developing products, and ensuring a business or product has relevancy in a changing world
Develop an organizational construct
Create and manage a P&L
Utilize human resources best practices
Demonstrate a higher level of leadership to effect change
Utilize data, including location analytics, to set strategy and measure effectiveness of tactical execution
Additionally, in 2019, 65% of our MBA graduates received a promotion while in our program and said they were able to apply new skills in their jobs after just one or two courses.
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.
The 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.
This course examines economic concepts essential for managerial decision-making with a focus on applying macroeconomic fundamentals and microeconomic analysis to a wide array of business problems.
This course examines accounting information as an economic decision-making tool. This course presents the concepts, policies, and procedures that govern accounting information systems. Students use that understanding to improve resource allocation by managers, owners, and creditors of an organization.
This course focuses on principles of financial planning, control, and analysis of the firm and the role of the financial manager within the firm.
This course focuses on basic statistical concepts, including measures of central tendency and dispersion, frequency distributions, probability distributions, sampling distributions, and estimation. This course also focuses on application in statistical inference, one- and two- sample hypothesis testing, chi-square, analysis of variance, and multiple regression models.
Introductory study of macroeconomics and microeconomics. Microeconomics studies decision-making by individual firms and consumers in regard to the allocation of scarce resources, supply and demand basics, and optimum output determination. Macroeconomics includes coverage of the national and global economy, the impact of economic aggregates, and government action.
This course examines the ethical, legal, and social environment of business and its impact on managerial decision-making.
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.
This course reviews information systems principles and emphasizes the strategic role of information systems in business and global and interactive aspects of information systems.
This course provides students with an understanding of the role analytics plays in the decision-making process. Topics include quantitative methods of managerial decision-making such as linear programming (LP), network models, transportation, assignment, transshipment, project management (PERT/CPM), inventory management, simulation, decision theory, forecasting, and supply chain management.
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.
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.
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
This course focuses on critical analysis of theory and practice of the human resource/personnel function in modern, complex organizations with an emphasis on personnel policies, workforce diversity, HR practices, employee discipline, health and safety, and collective bargaining. An understanding the goals of equity, efficiency, and effectiveness in a diverse environment is provided.
38 units with a mix of business and analytical approaches for business analytics careers
4 business foundation courses covering business management, ethics, and data science fundamentals
4 analytical courses in visualization, data mining, predictive analytics, and decision-support
8 options for elective course including marketing analytics, location analytics, and global business
1 culminating capstone consultancy course
Available at Redlands and other School of Business regional campuses, as well as hybrid/online
For more information about the MS in Business Analytics, visit https://www.redlands.edu/msba
Understand the technological tools used to collect, manage, and analyze data
Model and work effectively with numerical data using mathematical methods to analyze it
Contextually understand a business problem and how analytics can factor into solutions
Gain critical insights into the company, customer, product, and marketplace
Discover new opportunities or sources of revenue
Optimize business practices and processes
Facilitate better decision-making
Improve organizational or departmental performance
Provide information to set business strategy and solve organizational problems
Articulate analytics problems, insights, and solutions in easy-to-understand language
Lead and manage teams engaged in analytics projects within an organization
Appraise analytical maturity of an organization or business in terms of its focus, culture, people, and technology
Evaluate ethical, legal, and locational implications of data and decisions
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.
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.
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.
This course teaches the fundamental concepts of database management systems, big data, and data warehousing. Coursework provides a realistic context for students to learn how organizational data is prepared, cleansed, stored, and used for business analytics.
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.
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.
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.
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 accepted into the Accelerated Master's Programs will automatically be enrolled in the University’s School of Business—a leader in high-quality business education:
Students completing the MBA and MSBA will obtain highly desirable skills and be positioned for career growth and success:
The Accelerated Master's Programs offer CAS students significant tuition savings for the MBA and MSBA programs: