University IT

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

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 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

Amira Software helps researchers visualize, process, and analyze complex life science and biomedical imaging data. It supports a wide range of imaging modalities, including optical and electron microscopy, CT, MRI, and other research imaging techniques.

Researchers can use Amira to work with 2D, 3D, and time-series image data, enabling the exploration and analysis of biological structures, tissues, and imaging datasets across multiple scales.

Key Uses

• Visualize and analyze biomedical imaging data
• Process 2D, 3D, and multi-channel image datasets
• Support microscopy, CT, MRI, and other imaging workflows
• Conduct image analysis for structural biology, neuroscience, tissue imaging, and bioengineering research
• Generate visualizations to better understand and communicate research findings

The IMSL Fortran, C/C++ and C# Numerical Libraries provide pre-written mathematical and statistical algorithms that can be imbedded into Fortran, C/C++, C# for .NET, and Java applications. JMSL for Java applications combines integrated charting with IMSL Library algorithms. PV-WAVE is an array-oriented programming language used to build and deploy visual data analysis applications. TS-WAVE is for advanced time series analysis, and JWAVE’s multiple graphical and visualization techniques allows for web-based visual data analysis across platforms.