Program Overview
Weber State University's Computational Statistics and Data Science program combines statistics, computer science, and data analysis skills. Students learn to collect, transform, and analyze data using programming languages like R and Python. The program prepares graduates for careers in data science, where they can use data-driven insights to improve decision-making in various industries. Graduates may also pursue advanced studies in statistics, mathematics, computer science, or data science.
Program Outline
Outline:
The Computational Statistics and Data Science program at Weber State University is an interdisciplinary field that focuses on statistics and computer science, as well as the application of that knowledge. The program builds a useful skill set for aspiring data scientists, including:
- Collecting large amounts of unruly data and transforming it into a more usable format
- Working with a variety of programming languages such as R and Python, as well as integrating these skills with a database
- Communicating and collaborating with both IT and business professionals
- Looking for order and patterns in data, as well as spotting trends that can help a business’s bottom line
Teaching:
The program has small class sizes and friendly faculty.
Careers:
Data science is revolutionizing a wide range of fields, creating careers in manufacturing, marketing, energy, medicine and many more areas looking to use data-driven analysis to improve efficiency and decision making.