The digital revolution empowered by the internet and computer technology in business and individual life during the last several decades has generated unimaginable amounts of data in the form of digital records stored in databases and file servers. The volume, velocity, and variety of these data have produced a new set of problems and challenges for businesses and organizations in their pursuit of competitiveness, effectiveness, and efficiency. These problems and challenges also have created unprecedented opportunities for businesses and organizations to discover, model, understand, and serve their customers and partners in ways never imagined and to supply details never possible before. Businesses and organizations that are able to master this volume of data will have a tremendous competitive advantage over their competition in the marketplace.
As the need for business analytics grows, demand for professionals who understand and are capable of working with and exploring this data has exploded in recent years. This program addresses the growing need to manage and analyze the rapidly increasing amount of data that is available to support business decision-making.
Students in the part-time program take analytics and business elective courses online. In addition, students may choose to take select in-person business electives through the Iowa MBA program, which are offered occasionally in Des Moines at the John and Mary Pappajohn Education Center (JMPEC).
Learning Outcomes
Graduates will exhibit knowledge and skills relevant to data and its applications in business. They will demonstrate competence in the subareas of:
- descriptive analytics;
- predictive analytics; and
- prescriptive analytics.
Graduates will create and communicate solutions to data-related business problems that impact their organizations and communities. They will:
- approach, address, and solve a loosely defined business problem requiring the use, exploration, and analysis of data; and
- communicate effectively through oral, written, and visual forms.
Graduates will understand and explore ethical and privacy issues related to the use of data in the modern world. They will:
- contemplate ethical and privacy issues arising in their own work; and
- express a working knowledge of the major ethical and privacy issues facing the business-analytics profession, supported with examples from current events.
Graduates will demonstrate the ability to be effective team members in a diverse and complex world. They will:
- engage in effective team processes; and
- lead and support others to achieve collective goals.
The part-time Master of Science program in business analytics (professional) requires a minimum of 30 s.h. of graduate credit. Students must have a major program grade-point average (GPA) and a cumulative GPA of at least 2.75 to satisfy degree requirements.
With program approval, students may count up to a maximum 6 s.h. of graduate transfer credit toward program coursework requirements. Students who wish to include the 15 s.h. earned from the Certificate in Business Analytics toward the business analytics master's degree may do so as long as the coursework is not more than 10 years old from the date when the business analytics master's degree is conferred.
The part-time Master of Science program in business analytics (professional) requires the following coursework.
Requirements Summary
Requirements |
Hours |
Core Courses |
18 |
Experiential Course/Project |
3 |
Electives |
9 |
The core courses develop competency in business analytics skills and key functional concepts while elective coursework allows students to deepen or broaden their proficiencies. The experiential course consists of a group project that solves a semester-long business problem addressing all project stages while utilizing the knowledge and tools gained from previously completed program coursework. Students must complete all course prerequisites before taking a given course. Students should consult MyUI for course availability and/or discuss course offerings with their advisor.
Core Courses
If a core course is waived, it must be replaced with an approved analytics elective to reach the 30 s.h. of graduate credit.
Experiential Course/Project
Course List
Course # |
Title |
Hours |
| |
BAIS:6120 | Analytics Experience | 3 |
Electives
The following list includes all approved electives. Not all courses are offered on a regular basis.
MS/MBA
The Department of Business Analytics collaborates with the Iowa MBA Program to offer a combined Master of Science in business analytics (professional)/Master of Business Administration. This combined program allows students to pursue two degrees simultaneously, earning both more quickly than they would if each degree were pursued separately.
Separate application to each degree program is required. Applicants must be admitted to both programs before they may be admitted to the combined degree program.
For information about the MBA, see the Master of Business Administration, MBA section of the catalog.
Applicants must meet the admission requirements of the Graduate College and the Master of Science in business analytics (professional). For additional information, see the Manual of Rules and Regulations on the Graduate College website and Part-time Master of Business Analytics Admissions on the Tippie College of Business website.
The Career Services team offers multiple resources to help students reach their career goals. For more information, see Graduate Career Services on the Tippie College of Business website.
Sample Plan of Study
Sample plans represent one way to complete a program of study. Actual course selection and sequence will vary and should be discussed with an academic advisor. For additional sample plans, see MyUI.
Business Analytics (professional), MS
Three Year Plan
Plan of Study Grid (Manual)
Academic Career |
Any Semester |
a, b |
|
| Hours | 0 |
First Year |
Fall |
MBA:8150
|
Data and Decisions
or Data and Decisions |
3 |
| Hours | 3 |
Spring |
BAIS:6040 |
Data Programming in Python |
3 |
| Hours | 3 |
Summer |
BAIS:6050 |
Data Management |
3 |
| Hours | 3 |
Second Year |
Fall |
BAIS:6140 |
Visual Analytics |
3 |
c, d |
3 |
| Hours | 6 |
Spring |
c, d |
3 |
| Hours | 3 |
Summer |
BAIS:9110 |
Advanced Analytics |
3 |
| Hours | 3 |
Third Year |
Fall |
BAIS:6070 |
Data Science |
3 |
| Hours | 3 |
Spring |
c, d |
3 |
| Hours | 3 |
Summer |
BAIS:6120 |
Analytics Experience e |
3 |
f |
|
| Hours | 3 |
| Total Hours | 30 |