Adobe
Adobe provides creative applications for designing, editing, and publishing digital and print content. Adobe tools support a wide range of creative workflows, including graphic design, photo editing, video production, illustration, animation, web content creation, and document publishing.
Key Uses
- Create graphics, marketing materials, and presentations
- Edit and enhance photos and digital images
- Produce and edit video and multimedia content
- Create illustrations, animations, and digital artwork
- Design and publish print and digital documents
- Collaborate on creative and communication projects
Common Applications
- Adobe Creative Cloud
- Photoshop
- Illustrator
- InDesign
- Premiere Pro
- Acrobat Pro
Mathematica
Mathematica is a computational software platform used for mathematical modeling, data analysis, visualization, simulation, and scientific computing. It supports teaching, research, and problem-solving across a wide range of disciplines, including mathematics, engineering, physical sciences, life sciences, business, finance, and computer science.
Users can create interactive visualizations, perform complex calculations, develop simulations, and explore data within a single integrated environment.
Key Uses
- Perform mathematical and scientific calculations
- Create data visualizations and interactive models
- Develop simulations and computational research projects
- Analyze and explore research data
- Support teaching and classroom demonstrations
- Solve engineering, scientific, and business problems
Features
- Mathematical computation and symbolic analysis
- Data visualization and graphing tools
- Modeling and simulation capabilities
- Programming and automation tools
- Statistical and data analysis functions
- Interactive notebooks for research and instruction
SAS
SAS is a data management, statistical analysis, and reporting platform used for research, teaching, and advanced data analysis. It provides tools for data collection, management, statistical modeling, forecasting, reporting, and decision support across a wide range of academic and scientific disciplines.
SAS supports the complete data analysis workflow, from data preparation and visualization to statistical analysis and reporting.
Key Uses
- Manage and analyze research data
- Perform statistical and mathematical analyses
- Create reports, charts, and data visualizations
- Conduct forecasting and predictive analysis
- Support research and academic projects
- Develop data-driven models and applications
- Analyze and improve processes and operations
Features
- Data management and preparation tools
- Statistical analysis and modeling
- Data visualization and reporting
- Forecasting and predictive analytics
- Quality improvement and operations research tools
- Application development capabilities
- Decision support and business analytics tools
Common Applications
- Academic and scientific research
- Statistical analysis
- Data management and reporting
- Forecasting and predictive modeling
- Quality improvement initiatives
- Engineering and operational research
- Teaching and instructional use
The University’s SAS license may be used for:
- Academic instruction
- Coursework and learning activities
- Original academic research
Eligible users may install SAS on both University-owned and personally owned computers.
Licensing Restrictions
The University’s SAS license does not permit use for:
- Institutional research
- Administrative operations
- University business functions
- Healthcare operations or patient care
- Sponsored research activities covered outside the academic license scope
- Other non-academic operational uses
University staff who are participating in institutional research and other administrative uses can contact SAS.
SPSS / AMOS
SPSS Statistics is a data management and statistical analysis platform used by researchers, analysts, and students to organize, analyze, visualize, and report on data. It provides tools for the complete analytical workflow, from data preparation and management to statistical analysis and results reporting.
SPSS supports a wide range of research and data analysis projects and helps users generate tables, charts, and reports to communicate findings.
Key Uses
- Manage and prepare datasets for analysis
- Perform statistical analyses and hypothesis testing
- Visualize data through charts and graphs
- Generate tables, reports, and summaries
- Conduct research and survey data analysis
- Support academic, scientific, and operational research projects
Features
- Data entry, preparation, and management tools
- Statistical analysis and modeling capabilities
- Data visualization and graphing tools
- Reporting and output generation
- Data import and export options
- Tabular and graphical reporting features
Common Applications
- Academic and scientific research
- Survey and questionnaire analysis
- Social and behavioral science research
- Health and clinical research
- Program evaluation
- Business and operational analytics
- Teaching and coursework
STATA
Stata is a statistical analysis, data management, and data visualization platform used for research, teaching, and analytical projects. It provides tools for managing datasets, performing statistical analyses, creating graphics, and reporting results within a single environment.
Stata supports a wide range of quantitative research methods and is commonly used across academic, scientific, health, social science, and business disciplines.
Key Uses
- Manage and prepare research data
- Perform statistical analyses and modeling
- Create charts, graphs, and data visualizations
- Conduct quantitative research and data analysis
- Generate reports and analytical outputs
- Support teaching, coursework, and research projects
Features
- Data management and preparation tools
- Statistical analysis and modeling capabilities
- Data visualization and graphing tools
- Reporting and output generation
- Support for large and complex datasets
- Integrated environment for data analysis workflows
Common Applications
- Academic and scientific research
- Health and clinical research
- Social and behavioral sciences
- Economics and public policy analysis
- Survey and program evaluation
- Teaching and coursework
MATLAB
MATLAB is a technical computing platform used for data analysis, mathematical modeling, simulation, visualization, and application development. It combines a programming environment with tools for working with data, creating models, and solving engineering, scientific, and research problems.
MATLAB is widely used in teaching, research, and development across disciplines, including engineering, mathematics, finance, life sciences, computer science, and medical research.
Key Uses
- Analyze and visualize data
- Develop mathematical and computational models
- Create simulations and predictive models
- Process signals, images, and other research data
- Design and test control systems
- Develop algorithms and technical applications
- Support engineering, scientific, and research workflows
Features
- High-level programming environment
- Data analysis and visualization tools
- Modeling and simulation capabilities
- Signal and image processing tools
- Machine learning and artificial intelligence toolboxes
- Engineering and control system design tools
- Integrated development and debugging environment
Common Applications
- Engineering and scientific computing
- Signal and image processing
- Control system design
- Data analysis and visualization
- Financial modeling
- Medical and biomedical research
- Academic instruction and research
LabVIEW
LabVIEW is a graphical programming platform used for data acquisition, instrument control, test automation, measurement, and engineering applications. Its visual, block-diagram-based development environment allows users to build applications for collecting, analyzing, and presenting data without relying solely on traditional text-based programming.
LabVIEW supports a wide range of research, teaching, and engineering workflows, from laboratory experiments to embedded system development.
Key Uses
- Collect and analyze data from instruments and sensors
- Develop test and measurement applications
- Automate laboratory and research workflows
- Monitor and control hardware and equipment
- Create engineering and scientific data visualizations
- Develop embedded and real-time applications
Features
- Graphical programming environment
- Data acquisition and instrument control tools
- Data analysis and visualization capabilities
- Test automation and measurement support
- Hardware integration with laboratory and research equipment
- Support for embedded and real-time system development
Available To
The University’s LabVIEW license is available for teaching and academic research purposes.
Common Applications
- Engineering and laboratory instruction
- Scientific research
- Instrumentation and control systems
- Test automation
- Data acquisition and analysis
- Embedded system development
ArcGIS
ArcGIS is a geographic information system (GIS) platform used to create maps, analyze spatial data, and visualize geographic information. It enables users to combine maps, imagery, tabular data, and 3D geographic features to support research, planning, and decision-making.
ArcGIS is available on the Center for Integrated Research Computing (CIRC) platform for research projects that require advanced computing resources. In addition to desktop and server applications, ArcGIS includes web and mobile tools that allow users to create, share, and collaborate on maps and geographic data across the University.
Key Uses
- Create and manage maps and geographic data
- Perform spatial analysis and data visualization
- Combine geographic information with research and business data
- Work with imagery and 3D geographic datasets
- Share maps and analysis through web and mobile applications
- Support research, teaching, planning, and operational workflows
Included Features
The University’s ArcGIS license includes access to standard Environmental Systems Research Institute (Esri) modules and applications.
Microsoft Office
Microsoft 365 is a suite of productivity and collaboration applications that helps users create documents, analyze data, communicate with colleagues, and manage everyday academic and business tasks. The suite includes desktop, web, and mobile applications that support teaching, research, administration, and personal productivity.
Key Uses
- Create and edit documents, spreadsheets, and presentations
- Manage email and calendars
- Collaborate with colleagues and project teams
- Store and share files across devices
- Support teaching, research, and administrative work
- Access productivity tools from desktop and mobile devices
Included Applications
- Word – Document creation and editing
- Excel – Data analysis and spreadsheets
- PowerPoint – Presentations and visual content
- Outlook – Email and calendar management
- Access (Windows only) – Database management
- Additional Microsoft 365 services and applications available through the University’s subscription
JMP Student Edition
JMP Student Edition is a data analysis and statistical software package that helps users explore, visualize, and analyze data. It provides tools for statistical analysis, data visualization, experimental design, predictive modeling, and machine learning, making it suitable for coursework, research, and data-driven projects.
JMP supports an interactive approach to data analysis, helping users identify patterns, evaluate results, and communicate findings through charts, graphs, and reports.
Key Uses
- Explore and visualize data
- Perform statistical analyses
- Design and analyze experiments
- Build predictive and statistical models
- Conduct machine learning and data mining projects
- Integrate Python into data analysis workflows
- Communicate results through charts and reports
Features
- Interactive data visualization tools
- Statistical analysis and modeling
- Design of experiments (DOE) capabilities
- Machine learning workflows
- Predictive analytics tools
- Python integration
- Reporting and data presentation features
Common Applications
- Academic coursework
- Research and data analysis
- Experimental design
- Statistical modeling
- Engineering and scientific studies
- Business and operational analytics