The Master of Science in Business Analytics

The Master of Science in Business Analytics empowers students to combine disciplinary knowledge of business with quantitative reasoning and analytical skills to make informed decisions. Students learn to make ethical use of data to derive information and meaningful insights leading to actions that benefit both business and society. Graduates are business intelligence (BI) analysts and leaders who can design an enterprise-wide analytics strategy to solve organizational problems. Graduates will be effective liaisons between technical experts and organizational users of business analytics, so the value of fact- and data-driven decisions can be fully realized by the organization.

The program begins with four foundational courses that orient students to the contexts for analytics in contemporary businesses, along with an emphasis on data and its ethical use for decision-making. These foundational courses are followed by four analytics courses that provide in-depth overview of descriptive, predictive, and prescriptive analytics. In this core part of the program, a variety of analytics use cases are showcased and students are exposed to industry-leading analytics software. An elective course provides an opportunity to students to build on their knowledge of analytics in specialized areas such as location analytics and marketing analytics or round out their knowledge of business. The program ends with an integrative Capstone that provides a culminating real-world analytics project experience in an organization.

The MSBA is offered in an online hybrid format and in a classroom environment. The classroom sessions include seminars, lectures, simulations, case analyses, and small group activities. Student interaction inside and outside of the classroom is key to a successful experience.

The MBA is offered totally online, in a hybrid format, and in a classroom environment. The sessions include seminars, lectures, simulations, case analyses, and small group activities. Student interaction inside and outside of the classroom is key to a successful experience. Concentration courses in the classroom environment are delivered in a web-enhanced format that combines in-class sessions with online activities.

Learning Outcomes
Learning outcomes for the program may be found at: www.redlands.edu/msba.

Requirements
The major program consists of ten courses totaling 36 semester credits. Course descriptions are found in the section of this Catalog titled Course Descriptions.

Foundational Courses (4 courses/12 credits)

4 courses for a total of 12 credits. 

BUAN 600 MSBA Program Orientation (0 Credits)

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. Prerequisite for all other MSBA courses.
Credit/no credit only.

BUAN 610 Data Ethics for Business (4 Credits)

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.
Prerequisite: BUAN 600.

BUAN 615 Competing with Analytics (4 Credits)

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.
Prerequisite: BUAN 600.

BUAN 620 Data Science Foundations (4 Credits)

Fundamental concepts of database management systems, big data and data warehousing. Provides a realistic context for students to learn how organizational data is prepared, cleansed, stored and used for business analytics.
Prerequisites: BUAN 600 and BUAN 615.

Analytics Courses (4 courses/ 16 credits)

4 courses for a total of 16 credits. 

BUAN 630 Data Visualization & Storytelling (4 Credits)

Evaluates the role of descriptive analytics, both statistical measures and visualization, in delivering organizational value to decision-making contexts. Includes use of spatio-temporal data for “story-telling” and the effective communication of results to organizational decision-makers.
Prerequisites: BUAN 615 and BUAN 620.

BUAN 631 Data-Driven Decision-Making (4 Credits)

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.
Prerequisites: BUAN 615 and BUAN 620.

BUAN 651 Prescriptive Analytics for Managerial Decision-Making (4 Credits)

Provides an understanding of the role analytics plays in decision-making process. Topics include quantitative methods of managerial decision-making, including linear programming, network models, transportation, assignment, transshipment, project management (PERT/CPM), inventory management, simulation, decision theory, forecasting, and supply chain management.
Prerequisite: BUAN 615.

BUAN 640 Data Mining for Predictive Analytics (4 Credits)

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 also discussed.
Prerequisites: BUAN 615, BUAN 620, and BUAN 631 (or BUAD 631).

Elective Courses (1 course/ 4 credits))

1 course for 4 credits: Select one

BUAN 691 Introduction to Location Analytics and Marketing (4 Credits)

Introduction to the fundamentals of location analytics including location value and spatial maturity growth across business functions. Moving from fundamentals, the course focuses on marketing applications of GIS and location analytics to enhance customer value by understanding, examining, and predicting the needs and preferences of modern customers.
Prerequisite: BUAN 631 (or BUAD 631).

BUAN 694 Location Analytics and Decision Making (4 Credits)

Focus on decision-making spanning various stages of location value chain in businesses employing GIS and location analytics. Emphasis on illustrations of location analytics project planning, development, and implementation in businesses. Topics include spatial decision support, location analytics to examine big data, social media, mobile technologies, and their spatial components.
Prerequisite: BUAN 631 (or BUAD 631).

BUAN 683 Marketing Analytics (4 Credits)

Examination of the strategic planning process, with emphasis on resource allocation decision 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.
Prerequisite: BUAN 631 (or BUAD 631).

BUAN 660 Managerial Finance (4 Credits)

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.
Prerequisite: BUAN 631 (or BUAD 631).

BUAD 658 Accounting and Finance for Managers (4 Credits)

Focuses on the role of accounting and finance in managerial decision-making. This course explores how managers access capital, invest in resources, budget operations, and report economics events. Not open to students who have completed BUAD 660.

MGMT 680 Marketing Management (4 Credits)

Exploration of crucial aspects of marketing with emphasis on the customer and the marketing mix. Development of analytical and critical thinking skills through case study. Design and assessment of a basic marketing plan. Not open to students who have received credit for INTB-694W, ISYS-681W, FINC-661W or GISB-691W.

INTB 655 Global Environment for Business (4 Credits)

Exploration of 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 can be substituted with INTB 670 International Area Studies. 
Not open to students who have received credit for INTB 693, FINC 662, GISB 692, or INTB 670.

MGMT 631 Management and Organizational Behavior (4 Credits)

Topics include managing individual performance, team and intergroup dynamics, leadership, human resource management, organizational design, decision making and management of change. 

Capstone (1 course/ 4 credits)

1 course for a total of 4 credits. 

BUAN 695 Analytics Capstone (4 Credits)

Culmination of the MSBA program with focus on an applied analytics project. Using knowledge gained throughout the program, students work on a real-world project that requires strategic deployment of analytics. Emphasis on improving decision-making and communicating the value generated by analytics.
Prerequisites: BUAN 600, BUAN 615, BUAN 620, BUAN 630, BUAN 631 (or BUAD 631), BUAN 640, and BUAN 695.