STATDSBA - Statistics and Data Science
Download as PDF
Program Type
Bachelor of Arts
College
College of Science
Career
Undergraduate
Program Description
Big data is changing the world. Offered through the Department of Mathematics, this degree prepares you to take part in the data revolution. Students earning a Bachelor of Science or Bachelor of Arts in Statistics and Data Science will have a solid foundation in mathematics. Yet they focus on the capture, maintenance, processing, analysis and communication of data through immersion in courses in probability, statistics, data science and computer programming. Undergraduates also must complete a minor outside the Department of Mathematics. The B.A. and B.S. allow students to pursue graduate degrees or careers in analytics, risk assessment, finance, and other math- and science-related fields.
Learning Outcomes
- Be able to define and apply mathematical and statistical terms precisely
- Produce effective analyses from data using a variety of computational, mathematical, and statistical approaches
- Critically evaluate and extend statistical models drawn from current scientific literature
- Effectively interpret and communicate their results
- Collect, organize, and visualize data for exploration, analysis, and communication
- Identify and analyze data science tasks to formulate and choose appropriate models and analytical tools to develop solutions
- Effectively use one or more professional statistical and data analytics software packages
- Identify and analyze social, legal, and ethical issues in data science
- Produce effective analyses from data using a variety of computational, mathematical, and statistical approaches
- Critically evaluate and extend statistical models drawn from current scientific literature
- Effectively interpret and communicate their results
- Collect, organize, and visualize data for exploration, analysis, and communication
- Identify and analyze data science tasks to formulate and choose appropriate models and analytical tools to develop solutions
- Effectively use one or more professional statistical and data analytics software packages
- Identify and analyze social, legal, and ethical issues in data science