Learn Business Analytics From End to End in as Few as 12 Months
The University of Dayton School of Business Administration’s Department of MIS, Operations Management & Decision Sciences is proud to deliver Analytics@Dayton, an online one-year master’s in business analytics program.
The curriculum provides intensive analytics coursework as well as a broad view of the analytics professional role, from gathering and cleaning data sets to conveying findings effectively for different audiences. As a student, you will be prepared to pursue professional analytics positions within a variety of contexts, including operations, marketing, and finance.
The University of Dayton School of Business Administration is accredited by the Association to Advance Collegiate Schools of Business (AACSB). AACSB accreditation assures the highest excellence and standards in curriculum, faculty and student body.
The master’s in business analytics online program is designed to accommodate applicants from a variety of academic and professional backgrounds, including those without extensive professional analytics experience.
All applicants must have a bachelor’s degree from an accredited college or university. Recommended undergraduate majors include mathematics, engineering, business, science and computer science, but all majors are eligible to apply.
All applicants, regardless of major, must demonstrate math competency through a B grade or better in at least one college mathematics course in linear algebra, calculus or equivalent or a competitive GMAT or GRE test score.
Applicants to the online master’s in business analytics program must submit the following:
- Online application
- Application fee
- Personal statement
- Official transcripts from all previously attended colleges or universities
- GRE/GMAT and TOEFL scores, if applicable
Letters of recommendation are optional. Visit the application requirements page for more details.
Master of Business Analytics Online GMAT Waiver
The GMAT/GRE requirement is waived if you meet all the requirements for one of the following options:
- A bachelor’s degree in engineering, science, computer science, mathematics, economics or business from an accredited college or university
- A minimum 3.0 overall undergraduate GPA
- A minimum 3.0 GPA in your undergraduate mathematics courses
- A minimum of three years of technical work experience
- A minimum 3.2 overall undergraduate GPA
- B’s or better in all your undergraduate mathematics courses
The online master’s in business analytics program admission committee reviews applications on a rolling basis for cohorts starting in January, April, July and October each year. We encourage you to submit your application as early as possible.
Additionally, if you apply by the priority deadline, you will receive a waiver for the $50 application fee.
Tuition and Financial Aid
Tuition for the 2019–2020 academic year is $1,330 per credit hour. Tuition is subject to change annually. You are also responsible for immersion travel expenses and fees, which are not included in the cost of tuition.
The online master’s in business analytics program can be completed in 12 to 18 months. The curriculum explores every step of the data analysis and insight generation process, from collecting, cleaning and analyzing data to communicating and getting buy-in on data-based business decisions in your organization.
The core curriculum comprises intensive analytics courses that teach the mathematical and programming skills you need to adapt to any analytics software. Other courses provide training in business intelligence, business problem definition and communication of analysis results. The program culminates with a capstone project in which you will consult with real business leaders to analyze their data and recommend a solution to a business problem they are facing.
Foundations of Analytics
Statistical Analysis for Business Decisions (MBA 611)
This course is an introduction to descriptive and inferential statistics for MBA students. The overall purpose is for students to develop skills in:
- Describing/summarizing sample data sets
- Using probability distributions
- Drawing conclusions about the properties of large groups when only sample information is available
- Investigating relationships among several properties based on a sample of those properties
Problem-Solving Methods and Tools (MIS 661A)
Overview of organizational decision-making. Problem-solving steps and algorithms. Introduction to programming. Introduction to specialized software for data analytics.
Introduction to Business Analytics (MBA 791)
Role of business analytics in providing support for business decisions, particularly an overall framework for analyses involving mathematical models. Emphasis on optimization and descriptive modeling utilizing analysis techniques such as linear programming, integer and binary programming, and simulation modeling. Focus on application of such techniques. Use of spreadsheets. Prerequisite: MBA 611.
Introduction to Financial Accounting (MBA 600A)
An introduction to the concepts and procedures underlying financial accounting and the use of financial statement and other financial accounting information for decision-making.
Introduction to Managerial Accounting (MBA 601A)
This course introduces the concepts underlying the preparation and use of accounting data by managers as they plan, control and make decisions within the organization. Prerequisite: MBA 600A.
Principles of Operations Management (MBA 612)
An introduction to both traditional and modern manufacturing and service systems, including operating philosophies that drive these systems and the important tools and techniques used therein. Prerequisite: MBA 611.
Principles of Finance (MBA 620)
An overview of finance to include time value of money, risk and return, valuation concepts, financial statement analysis, capital budgeting, cost of capital and capital structure, and working capital management. Prerequisite: MBA 600A.
Principles of Marketing (MBA 630)
Fundamentals of marketing, including macro and micro concepts that affect marketing management. An introduction to marketing terminology, definitions, theories, concepts and practices. Emphasis on decision variables used by marketing managers, both at the domestic and global levels.
Principles of Organizational Behavior (MBA 670)
This course introduces management topics conceptualized at the organizational and subunit levels of analysis, with a primary focus on how organizations generate capacities for change in response to their environments. There is an emphasis on organizational design as a means of adaptation.
Advanced Statistical Models (BAN 614)
Introduction to advanced statistical models using R. Topics include descriptive statistics, exploratory data visualization, model building with linear regression, multivariate analysis methods, logistic regression and decision analysis. Prerequisites: MBA 611, MIS 661A.
Advanced Business Analytics (BAN 618)
Techniques for the solution and analysis of various business problems. Types of models: linear programming, integer linear programming, network models, utility theory with risk attitude, dynamic programing, Monte Carlo simulation and decision tree. Problem-oriented case studies. Emphasis on business insights, implications and analysis of the solution procedures. Use of modeling languages, such as Python, and commercial solvers. Prerequisite: MBA 791, MIS 661A.
Data Management for Analytics (MIS 664A)
Phases in creating relational database systems for collecting, storing and extracting data for business analysis, including use of the Structured Query Language (SQL). Data quality issues. Steps in creating and operating a data warehouse, including multidimensional modeling, extracting, transforming and loading data for business analysis. Prerequisite: MIS 661A (recommended).
Special Topics in Data Analytics (MIS 668A)
Selected advanced business intelligence and data analytics topics, e.g., big data, social network analysis, web (social media) analytics, text analytics, text scraping and others, as applied to business scenarios. Seminar-based or survey-based course. Project intensive. Prerequisite: MIS 661A, MIS 664A, MIS 667A.
Applications of Analytics
Supply Chain Analytics (MBA 619)
The course will use analytical tools rooted in mathematics, statistics and predictive modeling to develop insights from transaction and transportation data that can lead to savings, efficiencies and competitive advantage. The course will help the student learn how to cut through supply chain complexity to deliver goods and services efficiently and responsively. Emphasis will be placed on effectively communicating the insight.
Marketing Analytics (MBA 639)
Use of data and common statistical analytical procedures in strategic and tactical marketing decisions. Use of SPSS statistical software on common analytical procedures used in marketing including correlation analysis, regression, analysis of variance and conjoint analysis. Readings and cases to apply principles of analytics. Prerequisites: MBA 611, MBA 791, MBA 797 or instructor permission.
Business Analytics – Processes and Techniques (MBA 615A)
Survey of the main phases of the life cycle of analytics, including information requirements determination; data acquisition; analysis with descriptive, predictive and prescriptive models; visualization; analysis presentation; and delivery. Hands-on practice with creating visualization and dashboards, and with using data-mining tools to analyze data. Prerequisite: MBA 611.
Case Studies in Analytics (MBA 615B)
Selected cases illustrating the use of various analytics methods in descriptive, predictive and prescriptive analytics to solve specific business problems. Prerequisite: MBA 791.
Project Management for Professionals (MBA 616)
Project-oriented work makes up the bulk of managerial activity in organizations, and, consequently, knowledge of project management principles is valued highly. This course offers a broad review of issues and approaches to contemporary professional project management useful for any MBA student and future manager.
Advanced Business Intelligence (MIS 667A)
The role of business intelligence in setting and achieving organizational goals. How business intelligence supports different types of organizational decision-making. Tools and analytical methods for acquiring business intelligence, including statistical methods, data mining, visualizations and programming for analytics. Methods and organizational structures for implementing business intelligence in own organization, including maturity assessments, roadmaps and business intelligence excellence centers. Prerequisite: MBA 615A (may be taken as a co-requisite), MIS 661A.
Capstone Project in Analytics (BAN 710)
Application of business analytics knowledge and skills with actual firm, student teams, project planning and implementation, and reporting and presenting to firm’s management. Prerequisites: BAN 614, BAN 618, MIS 667A.
All courses in the online master’s in business analytics program are taught by expert faculty in the University of Dayton School of Business Administration's Department of MIS, Operations Management & Decision Sciences. You will learn directly from these professors during weekly, face-to-face online classes.
Analytics@Dayton faculty embody the Marianist tradition by preparing you to use your business analysis education for the benefit of your organization and the greater good. Your professors will make themselves available to you both during and outside of class, including through one-on-one office hours.
An Online Business Analytics Master’s With Ohio Roots
Since 1850, the University of Dayton has prepared aspiring leaders to pursue meaningful careers and perform meaningful service to their community. Today, our online master’s in business analytics program provides aspiring analytics professionals from Ohio and across the country with the opportunity to earn a degree from an AACSB-accredited school in as few as 12 months.