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 implementing data analytic solutions 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.

The part-time program is located in Des Moines, Cedar Rapids, and the Quad Cities.

The part-time Master of Science program in business analytics requires a minimum of 30 s.h. of graduate credit. Transfer credit may be accepted with approval from the program. Students who wish to include the 15 s.h. earned from the Certificate in Business Analytics toward the M.S. degree should seek approval from the program. A cumulative g.p.a. of at least 2.75 is required in all coursework.

The M.S. with a major in business analytics requires the following coursework. Requirements differ for students who enter in fall 2019 or in spring 2020.

Core Courses15
Experience Course/Project3
Electives12
Total Hours30

Some of these courses have prerequisites; students must complete all of a course's prerequisites before they may register for that course.

Fall 2019 Requirements

These requirements are for students who enter in the fall.

Core Courses

All of these:
MSCI:6050Data Management and Visual Analytics3
MSCI:6060Data Programming in R3
MSCI:6070Data Science3
MSCI:9100Data and Decisions3
MSCI:9110Advanced Analytics3

Experience Course/Project

The experience course consists of a group project that solves a semester-long business problem. Students should take this course after they have completed the core courses and one elective course.

This course:
MSCI:6120Analytics Experience3

Electives

Elective coursework allows students to deepen or broaden their skills.

12 s.h. from these:
MSCI:6040Data Programming in Python3
MSCI:6100Text Analytics3
MSCI:6105Social Analytics3
MSCI:6110Big Data Management and Analytics3
MSCI:6130Applied Optimization3
MSCI:6140Information Visualization3
MSCI:6150Financial Analytics3
MSCI:6180Healthcare Analytics3
MSCI:6210Data Leadership and Management3
MSCI:9010Contemporary Topics in Analytics1-3
MSCI:9130Lean Process Improvement3
MSCI:9160Supply Chain Analytics3
MKTG:9165Digital Marketing Analytics3

Spring 2020 Requirements

These requirements are for students who enter in the spring.

Core Courses

One of these:
MSCI:6040Data Programming in Python3
MSCI:6060Data Programming in R3
All of these:
MSCI:6050Data Management and Visual Analytics3
MSCI:6070Data Science3
MSCI:9100Data and Decisions3
MSCI:9110Advanced Analytics3

Experience Course/Project

The experience course consists of a group project that solves a semester-long business problem. Students should take this course after they have completed the core courses and one elective course.

This course:
MSCI:6120Analytics Experience3

Electives

Elective coursework allows students to deepen or broaden their skills.

12 s.h. from these:
MSCI:6040Data Programming in Python (if not taken as a core course)3
MSCI:6060Data Programming in R (if not taken as a core course)3
MSCI:6100Text Analytics3
MSCI:6105Social Analytics3
MSCI:6110Big Data Management and Analytics3
MSCI:6130Applied Optimization3
MSCI:6140Information Visualization3
MSCI:6150Financial Analytics3
MSCI:6180Healthcare Analytics3
MSCI:6210Data Leadership and Management3
MSCI:9010Contemporary Topics in Analytics1-3
MSCI:9130Lean Process Improvement3
MSCI:9160Supply Chain Analytics3
MKTG:9165Digital Marketing Analytics3
6 s.h. of the total 12 s.h. in electives may be taken from these:
ENTR:9000Developing Professional Service Business3
ENTR:9100Entrepreneurship and Innovation3
ENTR:9400Evaluating Innovation Opportunities3
ENTR:9450Strategic Management of Technology and Innovation3
ENTR:9500Managing the Growth Business3
ENTR:9700Entrepreneurship: Business Consulting3
FIN:9140Corporate and Financial Risk Management3
FIN:9150Financial Modeling and Firm Valuation3
FIN:9240International Finance3
FIN:9300Corporate Investment and Financing Decisions3
FIN:9310Corporate Financial Strategy3
MBA:8110Marketing Management3
MBA:8140Corporate Financial Reporting3
MBA:8180Managerial Finance3
MBA:8240Operations and Supply Chain3
MGMT:9185Project Management3
MKTG:9120Customer Relationship Management3
MKTG:9170Business to Business Marketing3
MKTG:9190International Marketing3
MKTG:9300Applied Marketing Research3
MKTG:9340Customer Analysis3

M.S./M.B.A. (Professional Program)

The combined Master of Science in business analytics (professional subprogram)/Professional Master of Business Administration Program allows students to pursue two degrees simultaneously, earning both more quickly than they would if the degrees were pursued separately. The Department of Business Analytics collaborates with the Master of Business Administration Program to offer a combined M.S./M.B.A. degree.

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 M.B.A., see the M.B.A. Professional Program in the Master of Business Administration section of the Catalog.

Applicants must meet the admission requirements of the Graduate College; see Manual of Rules and Regulations of the Graduate College on the Graduate College website.