Industry Aligned Focus Areas 

Our concentration in Applied Statistics is a four-course option that acknowledges both a deeper level of statistical training and understanding of statistics and differentiates the participant from his or her peers. As a student in this concentration, you will focus heavily on probability, time series, and statistical methodology. This curriculum supports the demand positions in statistics and data analysis.    

Required 6 credit hours among the below courses: 

• STAT 51600 – Basic Probability and Applications (3 Credit Hours) 
• STAT 51700 – Statistical Inference (3 Credit Hours) 

Choose 6 credit hours among the below courses: 

• STAT 51400 – Design of Experiments (3 Credit Hours) 
• STAT 52000 – Time Series and Applications (3 Credit Hours) 
• STAT 52500 – Intermediate Statistical Methodology (3 Credit Hours) 
• STAT 52600 – Advanced Statistical Methodology (3 Credit Hours) 

This concentration will provide professionals the knowledge of important aspects of leading, planning, executing, and controlling IT projects. Gain the preparatory level skills to support the success of complex, cross-functional IT related business initiatives. 

The curriculum enhances your knowledge in the areas of economics & procurement management and organizational & change management. Improve your project management and business strategy skills needed to help your organization achieve its strategic goals. Concepts gained with this degree include quality, communication, critical thinking, and implementing, monitoring, & controlling project plans. 

Required 3 credit hours: 

• CNIT 55200 PME – IT Project Management   

Remaining 9 credit hours can be taken from the below course list: 

• CNIT 55100 EPM – IT Economics  
• CNIT 58000 ATP – Advanced Topics in IT Project Management   
• CNIT 58200 EST – IT Estimating-Scheduling-Control   
• CNIT 58300 PPM – IT Program and Portfolio Management   
• CNIT 58500 PCM – Organizational and Change Management for IT Projects  
• CNIT 58600 RMP – IT Requirements Management    

This concentration will provide professionals the knowledge of how to determine business requirements that drive IT-related projects. In addition, it will help them identify, analyze and design processes to improve the overall flow of information within their organization.  

The curriculum enhances your knowledge in the areas of structure, policies, and operations of an organization. Learn to work as a liaison between the organization leadership and IT department to help them understand the needs of the organization and how IT can help achieve its goals. Develop skills to identify, document, and implement IT requirements for any business obstacles. 

Required 3 credit hour course: 

• CNIT 53000 BAE – IT Business Analysis (3 Credit Hours) 

Choose 9 credit hours among the below courses:  

• CNIT 53100 RMA – IT Requirements Analysis & Modeling (3 Credit Hours) 
• CNIT 53200 EA – IT Enterprise Analysis (3 Credit Hours) 
• CNIT 53500 ABA – Advanced Topics in IT Business Analysis (3 credits) 
• CNIT 57000 BDA – IT Data Analytics (3 credits) 
• CNIT 58500 PCM – Organizational and Change Management for IT Projects (3 credits) 

This concentration provides students with vital skills in data science and helps them master the technologies they’ll use in the field. Learn core concepts of geographic information systems (GIS) and spatial data science, including data sources, projections, spatial data processing and analysis methods, data and metadata creation and a conceptual framework for solving spatial problems. 

Students will also learn foundational skills in scripting languages, data types, databases, and data visualization and analysis. By the end of the program, students will be able to collect, analyze, interpret, and combine geospatial data to make informed decisions regarding natural resource management and solve problems in the environmental, agricultural and engineering sectors. 

• ABE 65100 – Environmental Informatics  
• AGRY 54500 – Remote Sensing of Land Resources  
• ASM 54000 – Geographic Information System Application  
• FNR 58700 – Advanced Spatial Ecology and GIS