Getting Started with SAS Programming

Tuition is $120 USD, and the application deadline is Anytime.

The Getting Started with SAS Programming is a non-degree program for students who want to learn SAS programming, offered in English and available online. It lasts several weeks and helps students get started with SAS.

The curriculum covers the basics of SAS programming, including data manipulation and analysis. Students will learn to write SAS code and work with datasets. The program includes hands-on exercises to help students practice their new skills.

After completing the program, students can pursue careers as Data Analysts, Business Intelligence Developers, or Operations Research Analysts. They can work in various industries, including finance, healthcare, or government, for employers like banks, hospitals, or research institutions.

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.