With the proliferation of data across all sectors of the global economy, there is an immediate need for individuals to be knowledgeable in how to harness this data for continuous analysis and study. This spectrum spans from commercial to nonprofit, from higher education to government and is constantly expanding with new sectors, as data mining becomes the standard for knowledge gathering in the digital age.

The Master’s in Analytics helps to meet the demand from employers with a graduate program that provides students with an end-to-end analytics education through a core curriculum with integrated experiential learning opportunities. The program prepares students with a deep understanding of the mechanics of working with data (i.e., its collection, modeling, and structuring) along with the capacity to identify and communicate data-driven insights that ultimately influence decisions.

Not only will students graduate with a portfolio of work samples that demonstrate their range and depth of skill, they will be part of a larger network of analytics professionals who will serve them now and in the future. Apply now or request information using the form below.

 



 

Curriculum:

Revised curriculum effective fall 2017 

Core Courses (15 q.h.)

ALY 6000 Introduction to Analytics 3 q.h.
ALY 6010 Probability Theory and Introductory Statistics 3 q.h.
ALY 6015 Intermediate Analytics 3 q.h.
ALY 6050 Introduction to Enterprise Analytics 3 q.h.
ALY 6070 Communication and Visualization for Data Analytics 3 q.h.

 

Concentrations (15 q.h.)

Choose one of the following concentrations:

Statistical Modeling

ALY 6110 Data Management and Big Data 3 q.h.
ALY 6020 Predictive Analytics 3 q.h.
ALY 6040 Data Mining Applications 3 q.h.
ALY 6983 Topics 3 q.h.
GIS 5102 Fundamentals of GIS Analysis 3 q.h.

Evidence-Based Management

ALY 6060 Decision Support and Business Intelligence 3 q.h.
ALY 6100 Data-Driven Decision Making 3 q.h.
ALY 6120 Leadership in Analytics 3 q.h.
ALY 6040 Data Mining Applications 3 q.h.
ALY 6130 Risk Management for Analytics 3 q.h.

Informational Design

ALY 6030 Data Warehousing and SQL 3 q.h.
ALY 6040 Data Mining Applications 3 q.h.
ITC 6015 Enterprise Information Architecture 3 q.h.
ITC 6020 Information Systems Design and Development 3 q.h.
ALY 6060 Decision Support and Business Intelligence 3 q.h.

Elective Courses (9 q.h.)

Choose three of the following courses:

ITC 6015 Enterprise Information Architecture 3 q.h.
ITC 6045 Information Technology Policy, Ethics, and Social Responsibility 3 q.h.
ITC 6310 Information Security Governance 3 q.h.
GIS 5101 Introduction to Geographic Information Systems 3 q.h.
GIS 5201 Advanced Spatial Analysis 3 q.h.
LDR 6110 Leading Teams 3 q.h.

Experiential Learning (6 q.h.)

ALY 6080 Integrated Experiential Learning 3 q.h.
ALY 6980 Experiential Capstone 3 q.h.

 

Required minimum credit hours: 45 q.h.