WHAT IS THE APPLIED STATISTICS DEGREE?
The Bachelor of Science in Applied Statistics is housed within the College of Natural
and Health Sciences. The degree, which has two tracks -- actuarial science and data
science, is tailored to professionals who may be working with data and statistics
in any industry.
WHAT WILL I LEARN IN THIS PROGRAM?
During the program, you will receive training in applied statistical procedures, analytics, data visualization, essential mathematical skills, computer programming with popular data analysis tools (SAS, R, Python, SQL, etc.), as well as interpreting insights from analysis effectively to a wider audience.
WHAT COURSES WILL I TAKE?
The Academic Advising Center has created maps that are term-by-term sample course schedules based on the current Undergraduate Catalog. On each Degree Map, the milestones listed to the right of each term are designed to keep students on track to graduate in four years.
WHAT RESOURCES ARE AVAILABLE TO ME?
ADDITIONAL RESOURCES SPECIFICALLY FOR TECH STUDENTS:
WHERE MIGHT I FIND A JOB AFTER GRADUATING FROM THIS PROGRAM?
Organizations of all sizes are seeking professionals with the ability to collect, organize, view, and analyze data. From sports to medical research, psychology, agriculture, retail, environment, wildlife, insurance, technology, and even government, there’s not a sector that statistics and data science does not touch. Graduates could pursue a career in nearly every major industry.
With continuous increasing capabilities in data collection, storage, and computing,
the opportunities for statistics and data science keep rapidly growing. Jobs such
as a statistician, an actuary, a data scientist, and analyst-related positions are
WHERE CAN I GET MORE INFORMATION ABOUT THE APPLIED STATISTICS DEGREE?
For more information about the Applied Statistics degree and requirements, see the program within the College of Natural & Health Sciences catalog. You may also send an email to Dr. Weijia Jia (firstname.lastname@example.org) to request additional information.