Analytics Co-Major

For information, contact the Department of Statistics, 311 UPH, 513-529-7828, or the Department of Information Systems and Analytic, 3095 FSB, 513-529-4826.

Analytics describes the extensive use of data to guide evidence-based decision-making. This field has emerged during a time when massively large data sets are being collected throughout society. Analytics lives at the junction between numerous traditional disciplines including information systems and statistics. This program will provide a framework for thinking about the collection and use of so-called "big data" and students will develop skills for handling structured and unstructured data sets and for developing models to predict behavior in data-rich environments.

The term "co-major" is unique and indicates that students must be concurrently enrolled in and must complete another major at Miami University. The co-major complements this primary major, which provides significant depth and breadth in an academic discipline. There is no specific degree designation for the co-major; students receive the degree designation of their primary major. Students may earn either the Business Analytics Minor or the Analytics Co-Major.

Program requirements

Complete a major in one of the divisions of the university.

CORE coursework to be satisfied by all co-majors (18-19 hours)
Data Description and Summarization:
Select one of the following:3-4
Business Statistics
Statistics
Applied Statistics
Introduction to Statistics
Data Management - Structured:
Select one of the following:9-12
Business Computing
and Information Technology and the Intelligent Enterprise
and Database Systems and Data Warehousing
Fundamentals of Programming and Problem Solving
and Object-Oriented Programming
and Data Abstraction and Data Structures
and Database Systems
Regression Models:
Select one of the following:3-4
Applied Regression Analysis in Business 1
Introduction to Statistical Modeling
Regression Analysis
Visualizaing Data and Digital Dashboards:
STA/IMS/JRN 404Advanced Data Visualization3
Track
Select a track of study 215
Total Credit Hours33-38
1

Must be taken as the core option for Track 1.

2

In addition to the common core, each co-major is required to complete a particular track of study. These tracks reflect a focus on a particular area of application of analytics or advanced methods.

Tracks

Track 1: Business Analytics

Note: For IS majors, at least 18 hours beyond the business core must be courses not counted toward the IS major.

 Note that ISA 291 must be taken as the core option for this track.

Required courses
ISA 414/ISA 514Managing Big Data3
ISA 491/ISA 591Introduction to Data Mining in Business3
Select two of the following:6
Business Intelligence and Data Visualization
Business Forecasting
Statistical Programming
Select one of the following:3
Quantitative Analysis of Business Problems
Nonparametric Statistics
Statistical Monitoring and Design of Experiments
Business Intelligence and Data Visualization
Survey Sampling in Business
Business Forecasting
Topics in Decision Sciences
Statistical Programming
Introduction to Bayesian Statistics
Total Credit Hours15

Track 2: Predictive Analytics

Required Courses
Select one of the following:3
Quantitative Analysis of Business Problems
Optimization
Stochastic Modeling
STA 402/STA 502Statistical Programming3
STA 427/STA 527Introduction to Bayesian Statistics3
STA 467/STA 567Statistical Learning3
ISA 414/ISA 514Managing Big Data3
Total Credit Hours15

Note: Other tracks are expected such as bioinformatics, health care, and geographical analytics.