The Master of Science in Data Science and Applied Statistics program at SMU offers students a unique opportunity to gain technical skills and analytical tools needed to succeed in a variety of industries. The Department of Statistical Science provides a rigorous and collaborative learning environment that emphasizes hands-on experience and practical application of statistical theory.
Ratio of Texas vs out-of-state students for 2023-24 school year
of Dedman graduates have jobs within 6 months of graduation
Data analysts are the backbone of any data-driven organization — collecting, storing, maintaining and analyzing large amounts of information that can have a major impact on the bottom line. Using statistical and analytical tools, data analysts identify trends and patterns that can help organizations make informed decisions and take strategic actions.
But data analysis isn’t just about crunching numbers and analyzing spreadsheets. It’s about finding the story behind the data and using it to help businesses make smarter decisions. Whether it’s improving customer experiences, optimizing supply chain operations or identifying new revenue opportunities, data analysts are at the forefront of driving real change and growth for businesses.
Admission requirements
To be eligible for admission, applicants must have a bachelor’s degree from an accredited institution and meet the minimum GPA requirements. However, the admission process is holistic, and factors such as work experience, recommendation letters and personal statements are also taken into consideration.
Strong mathematical background
To be a successful data analyst, a strong mathematical background is essential. Typically, this means having a solid grasp of Calculus I and II, as well as a thorough understanding of statistical analysis. With these foundational skills, you’ll be able to analyze data sets and develop insights that can help drive business decisions.
Technical skills
Beyond a strong mathematical background, it’s also important to have technical skills in areas like business intelligence and data mining. This means being comfortable with tools and software like Tableau and SQL, as well as having experience with statistical analysis software like R or SAS. By mastering these tools, you’ll be able to work efficiently and effectively with data, allowing you to provide insights that are accurate, timely and valuable to your organization.
The concepts I’ve learned in the Data Science and Applied Statistics program have given me everything I’ve needed to be prepared for a career in data science based on the job descriptions I see online.
Allison King ’19, current Master of Science in Data Science and Applied Statistics student