These days, big data is everywhere. Data analysis is widely used even beyond business and science.Data scientists with SAS skills are in high demand, finding employment in fields such as:

• Advertising and marketing
• Film and video production
• Government and politics
• Retail and e-commerce
• Social media and online search

Data scientists typically need a bachelor’s degree or graduate education to enter the field. An SAS certification provides even more value. The median annual wage for data scientists was $103,500 in May 2022 according to the U.S. Bureau of Labor Statistics.

1. Perform quantitative data analysis using appropriate statistical methods and tools (SAS) to aid business decisions and reduce the risks and optimize solutions.
2. Explore data to understand relationships among variables and harness / mine very large data sets to make business decisions using machine learning techniques.
3. Apply data visualization best practices to communicate visual insights through charts, dashboards and communicate data-driven stories.  
4. Integrate, apply and implement the concepts, techniques and tools of data analytics learnt in the MS DSA Program using capstone projects with real-world datasets.  
5. Identify and explain knowledge in data science, big data, and technology used for processing big data and data science methods
6. Formulate and solve data science and big data problems using appropriate data management and analysis skills
7. Identify and apply the technology necessary to aid in solving real-world problems
8. Effectively use technology to solve data science problems
9. Be literate in the language of data science and in data analysis skills for data science and big data