Master of Science in Business Analytics

In a global economy that is driven by data, the University of Redlands Master of Science in Business Analytics (MSBA) degree teaches business professionals how to gather and analyze data; create meaningful insights; and make strategic, ethical decisions that enhance organizational value.

Why an MSBA at Redlands

The Master of Science in Business Analytics degree from the University of Redlands School of Business is designed for working professionals who can complete the program in 18 months by taking one of nine courses every eight weeks year-round. We do not require any prerequisites, and applicants do not have to hold an undergraduate degree in a STEM major.

The MSBA degree program zeroes in on specialized areas of business analytics, with an emphasis on information, statistics, big data, predictive & prescriptive analysis, and emerging technologies. Our curriculum is distinctive in that it blends business courses with those in GIS, MIS, IT, and analytics to provide a holistic approach to this business discipline.

The program leverages the University’s strong partnership and Spatial Business Initiative with global mapping giant Esri to provide students with location analytics expertise, case studies, research, and business connections.

The program integrates elements of leadership, ethics, and business/organizational foundational knowledge with technical knowledge and skills in order to arm graduates with the necessary tools to solve business problems and create new business opportunities effectively and efficiently.

Graduates of the program will be business intelligence analysts who can effectively liaison between technical experts and business/organizational users of business analytics, while understanding the ethical and legal aspects of analytics work.

M.S. in Business Analytics Course Sequence

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Program learning outcomes

By completion of the 36-unit, nine-course MSBA program, graduates will be able to:

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


MSBA course descriptions

BUAN600: MSBA Program Orientation (0 Credits)

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.

BUAN610: Data Ethics for Business  (4 Credits)

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.

BUAN615: 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. 

BUAN620: Data Science Foundations (4 Credits)

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.

BUAN630: Data Visualization & Storytelling (4 Credits)

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.

BUAN631: Data-Driven Decision-Making (4 Credits)

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.

BUAN640: Data Mining for Predictive Analytics (4 Credits)

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.

MGMT651: Prescriptive Analytics for Managerial Decision-Making (4 Credits)

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.

Elective: A choice of one of the following courses:

  • GISB691: Introduction to Location Analytics & Marketing (4 Credits)
  • GISB694: Location Analytics & Decision-Making (4 Credits)
  • MGMT683: Marketing Analytics (4 Credits)
  • Other courses upon approval

BUAN695: Analytics Capstone (4 Credits)

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.


Business & data analyst career forecast

According to the Bureau of Labor Statistics (BLS), employment of computer and information research scientists, including data analysts, is projected to grow 14 percent from 2018 to 2028, faster than the average for all occupations. Computer scientists are likely to enjoy excellent job prospects, because many companies report difficulties finding these highly skilled workers. Many companies are still trying to staff with a talent shortage in full force.

Business and data analysts are desired in almost every company or organization across every industry and can hold valuable jobs in finance, operations, marketing, healthcare, human resources, technology and other key business areas.

One of most read articles of all times in the Harvard Business Review is about Data Scientists: Data Scientist: the sexiest job of the 21st century by Thomas H. Davenport and D.J. Patil.

According to a report by PWC, data scientists, data engineers and business analysts are among the most sought-after positions in America. Yet, many existing and emerging workers don’t have the full skillset employers need.

According to a report released in February 2020 by Valuates, the global big data and business analytics market size was valued at $171.39 billion in 2018 and is projected to reach $512.04 billion by 2026, growing at a rate of 14.8 percent between 2019 and 2026.

According to a global research paper released in June 2020 by technavio, the global analytics market is expected to grow by $109.7 billion during 2020-2022 alone.

Business and data analysts are one of the top fastest-growing career fields with pay higher than other career fields, according to LinkedIn and

To review career and salary potential, click here.