Businesses of all sizes are creating and storing more data than ever before according to IBM—2.5 quintillion bytes per day. In fact, 90 percent of all data that exists today was created in the last two years. Businesses are swimming in data, but often lack the talent and expertise to use it effectively for making decisions, revealing insights, and making predictions. Business analytics experts are changing that. The full-time Master of Science program in business analytics puts students on the leading edge of a burgeoning industry hungry for top notch talent.

Students learn the skills and techniques necessary to turn raw data into actionable insights. Descriptive and diagnostic analytics are just starting points in the program. The skills learned develop students into decision-makers and data scientists adept at using predictive and prescriptive analytics to solve business problems.

The full-time program is located in Iowa City.  The plan of study spans 16 months, and includes core courses, internships, and electives.

The full-time Master of Science program in business analytics requires a minimum of 39 s.h. of graduate credit. Transfer credit may be accepted with 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.

Core Courses18
Experience Course/Project3
Electives18
Total Hours39

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
MBA:8130Business Communication3

Experience Course/Project

The experience course consists of a group project that solves a semester-long business problem.

This course:
MSCI:6120Analytics Experience3

Electives

Elective coursework allows students to deepen or broaden their skills. Additional electives may be available for credit but must be preapproved.

18 s.h. from these:
MSCI:4280Data Security3
MSCI:6040Data Programming in Python3
MSCI:6100Text Analytics3
MSCI:6110Big Data Management and Analytics3
MSCI:6130Applied Optimization3
MSCI:6140Information Visualization3
MSCI:6150Financial Analytics3
MSCI:6160Big Data Analytics3
MSCI:6170Directed Readings - Graduate Business Analyticsarr.
MSCI:6180Healthcare Analytics3
MSCI:6210Data Leadership and Management3
MSCI:6300Dynamic Programming3
MSCI:6500Social Network Analytics: Models and Algorithms3
MSCI:6600Linear Programming3
MSCI:6700Discrete Optimization3
MSCI:6900Heuristic Search3
MSCI:7000Management Sciences Topics3
MSCI:9010Contemporary Topics in Analytics1-3
MSCI:9130Lean Process Improvement3
MSCI:9160Supply Chain Analytics3
MSCI:9210Introduction to Modeling with VBA2-3
ACCT:9170Advanced Accounting Analytics3
BIOS:5120Regression Modeling and ANOVA in the Health Sciences3
BIOS:5310Research Data Management3
CS:3210Programming Languages and Toolsarr.
CS:4420Artificial Intelligence3
CS:4470Health Data Analytics3
CS:5110Introduction to Informatics3
CS:5430Machine Learning3
ECON:4800Econometric Analysis3
ECON:5800Econometrics3
ECON:5805Statistics for Economics3
EPID:5200Principles of Public Health Informatics3
GEOG:3520GIS for Environmental Studies3
GEOG:3540Introduction to Geographic Visualization3
GEOG:4150Health and Environment: GIS Applications3
GEOG:4580Introduction to Geographic Databases3
ISE:3600Quality Control3
ISE:4172Big Data Analytics3
ISE:6380Deep Learning3
ISE:6720Nonlinear Optimization3
ISE:6780Financial Engineering and Optimization3
ME:4111Scientific Computing and Machine Learning3
ME:4150Artificial Intelligence in Engineering3
MKTG:9165Digital Marketing Analytics3
MKTG:9310Marketing Analytics2-3
PHYS:4905Special Topics in Physics (when topic is scientific computing using Python)arr.
POLI:3001Hawkeye Poll3
POLI:7002Topics Methodology4
PSQF:6209Survey Research and Design3
PSQF:6243Intermediate Statistical Methods4
PSQF:6246Design of Experiments4
PSQF:6250Computer Packages for Statistical Analysis1-3
STAT:4100Mathematical Statistics I3
STAT:4101Mathematical Statistics II3
STAT:5101Statistical Inference II3
STAT:5400Computing in Statistics3
STAT:5810Research Data Management3
STAT:6560Applied Time Series Analysis3
STAT:7400Computer Intensive Statistics3
URP:6200Analytic Methods I1-3
URP:6225Applied GIS for Planners3
May include 6 s.h. from these:
MBA:8140Corporate Financial Reporting2-3
MBA:8170International Economic Environment of the Firm2-3
MBA:8180Managerial Finance2-3
MGMT:3200Individuals, Teams, and Organizations3
MGMT:4325Team and Project Management3
MGMT:9150Nonprofit Organizational Effectiveness I3
MGMT:9160Nonprofit Organizational Effectiveness II3

M.S./M.S. in Finance

The combined Master of Science in business analytics (career subprogram)/Master of Science in finance 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 Department of Finance to offer the combined program.

Separate application to each degree program is required. Applicants must be admitted to both programs before they may be admitted to the combined program. For more information, see the M.S. in finance in the Catalog.

Applicants must meet the admission requirements of the Graduate College and of the program; see Manual of Rules and Regulations of the Graduate College on the Graduate College website and program requirements on the Full-Time Master of Business Analytics Admissions web page.