Industry Aligned Concentrations

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 – IT Project Management   

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

• CNIT 55100 – IT Economics  
• CNIT 58000 – Advanced Topics in IT Project Management   
• CNIT 58200 – IT Estimating-Scheduling-Control   
• CNIT 58300 – IT Program and Portfolio Management   
• CNIT 58500 – Organizational and Change Management for IT Projects  
• CNIT 58600 – 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 – IT Business Analysis (3 Credit Hours) 

Choose 9 credit hours among the below courses:  

• CNIT 53100 – IT Requirements Analysis & Modeling (3 Credit Hours) 
• CNIT 53200 – IT Enterprise Analysis (3 Credit Hours) 
• CNIT 53500 – Advanced Topics in IT Business Analysis (3 credits) 
• CNIT 57000 – IT Data Analytics (3 credits) 
• CNIT 58500 – 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    

This concentration offers professional training for students pursuing careers in the ethics and compliance of emerging technologies, such as AI and big data applications. Students will gain the skills to understand policies and processes in both U.S. and international contexts, comprehend the rationale behind policy proposals and enactments, and learn how these policies are implemented and evaluated for compliance.

Required 9 credit hours among the below courses: 

• POL52101 – Applied Public Policy: Institutions, Processes, and Practices
• POL52601 – Technology, AI, and Ethics in Public Policy and Public Administration
• POL52701 – Local to Global Governance of Data, AI, and Emerging Technology

Choose 3 credit hours among the below courses: 

• POL 50100 – Political Science: Methodology (3 Credit Hours) 
• POL 50601 – Data, Machine Learning, And Artificial Intelligence For The Public Sector (3 Credit Hours) 
• POL 52901 – Applied Policy And Program Evaluation (3 Credit Hours) 
• SCLA 52100 – Societal Impacts Of Artificial Intelligence
• SCLA 51000 – Data And Science Storytelling
• SCLA 52200 – Artificial Intelligence Policy, Governance, And Ethics
• GRAD 50600 – Big Data Tools And Technologies
• GRAD 50700 – Cross Domain Data Communication And Visualization
• STAT 52600 – Advanced Statistical Methodology (3 Credit Hours) 

This concentration is for learners seeking specialization in smart manufacturing by providing a comprehensive understanding of sustainable design, advanced technology integration, and cybersecurity. The curriculum offers practical insights into Industry 4.0 concepts like IoT, big data, and global supply chains, positioning graduates as leaders in manufacturing innovation.

• ENGT 58100 – Internet of Things and Cybersecurity for Engineering and Technology
• ENGT 55000 – Manufacturing System Design for Sustainability
• MFET 55800 – Smart Manufacturing and Global Supply Chain Management 

This concentration provides professional engineers, technologists, and policymakers with critical data science skills applicable to transportation systems, focusing on smart mobility and urban data analytics. Designed for current professionals in related fields, the program enhances career prospects by imparting cutting-edge knowledge to address challenges like autonomous transport and supply chain resilience, emphasizing the application and communication of data science methods in transportation.

• CE56401 – Data Science for Smart Cities
• CE56901 – Smart Logistics
• CE56601 – Network Models for Connected and Autonomous Vehicles

This concentration blends financial theory with advanced analytics to prepare you for high-impact roles in fintech, banking, and asset management. Gain a competitive edge in the financial sector by mastering data science tools to forecast market trends, assess risk, and optimize investment strategies.

• STAT 54000 – Computational Finance I
• STAT 57900 – Foundations of Statistical Machine Learning
• STAT 58700 – Machine Learning in Finance