CASL Programming for Distributed Computing in SAS® Viya®

Statistical Analysis System, widely known as SAS, is a leading analytics and AI software company established in 1976 that supports organizations across healthcare, finance, government, and academia. While not a traditional university, SAS plays a major educational role through its analytics platforms, research collaborations, and partnerships with colleges and universities. Its tools are used for statistical analysis, predictive modeling, machine learning, and enterprise intelligence.

For international students pursuing data science, analytics, or related fields, SAS offers a range of learning pathways including certification programs, instructor-led courses, online training, and academic alliances with more than 40 program tracks and learning modules. These resources are designed to develop practical skills in real-world problem solving, from data preparation and visualization to advanced modeling and deployment. Students can access hands-on labs, community forums, and sanctioned curricula that align with industry expectations.

Engagement with SAS technologies can significantly enhance employability in a competitive job market where analytics expertise is in demand. Prospective learners should explore university partnerships, internship opportunities, and certification routes that complement degree programs. International applicants can benefit from SAS learning resources to build portfolios, demonstrate technical competence to employers, and transition more smoothly into analytics roles globally.

The CASL Programming for Distributed Computing in SAS Viya program is for students who want to learn programming skills, offered as a non-degree program that lasts several weeks, with the main advantage of learning distributed computing.

This program covers specific subjects like CASL programming and distributed computing in SAS Viya, helping students develop skills in programming and data analysis, with hands-on components to practice coding.

After completing this program, students can pursue careers as Data Analysts, SAS Programmers, or Distributed Computing Specialists, working in industries like finance or healthcare, for employers such as research institutions or government agencies.