next start date
year locked-in tuition
Available program formats: Online: BS In class: BS
Why This Program?
Statistics is not just about numbers—it's about leveraging data to solve complex problems and make informed decisions. Our Bachelor of Science in Statistics prepares you to navigate an increasingly data-driven world with confidence. Whether you're interested in government, business, healthcare, or research, the ability to translate data into strategic action has become a crucial asset in any industry.
What You'll Learn
Our curriculum will equip you with the skills to design and conduct experiments and surveys, analyze complex datasets, and interpret your findings in meaningful ways. Beyond the numbers, you’ll develop a keen sense for identifying patterns and making predictions that can guide an organization’s strategy in the face of uncertainty.
Opportunities to study:
- Introduction to Python Programming
- Statistics for the Behavioral and Natural Sciences
- Multivariate Calculus
- Introduction to Probability Theory
- Mathematical Statistics and Probability
"You don’t have to travel across the world. Just by supporting a business that practices corporate social responsibility, you are contributing! Qualities to look for in a company include sustainability practices, social-change initiatives, or any other ways that give back to the community."Read about Gina
View more faculty profiles
Your degree starts here Take these courses
Available program formats
- Core requirements 37 credit hours
- Total degree requirements 120 credit hours
Some courses you may take
This course provides a foundation in formal mathematics and theorem-proving. Topics include functions, relations, sets, simple proof techniques, propositional logic, elementary number theory, the fundamentals of counting, recursion, and an introduction to algorithms. Prerequisite: Grade of C or higher in MATH 201.
Two and three dimensional vectors, partial derivatives, multiple integrals, line and surface integrals. Prerequisite: MATH 222 or MATH 235.
Study of informal and standardized test development, administration and evaluation including the history of testing, concepts of reliability, validity, utility and psychometrics of intelligence, personality, clinical, counseling, neuropsychological assessment and career testing using the normative and criterion-referenced approaches. Prerequisites: BIOL/PSYC/SOCI 224 and nine hours of PSYC coursework.
Introduction to descriptive and inferential statistics. Topics include collection of data, numerical and graphical descriptive methods, linear correlation and regression, probability concepts and distributions, confidence intervals and hypothesis testing for means and proportions. Prerequisite: Grade of C or higher in MATH 104, or a score of 20 or higher on the math portion of the ACT or a score of 480 or higher on the math portion of the SAT or a passing score on the Columbia College math placement exam. G.E.