Statistical science
Master of Science
Using data to solve problems
For those seeking an analytical career, the Master of Science in statistical science blends advanced mathematics and applied statistics with modern quantitative and computational techniques. If you understand how data can provide insights into the best way to solve a problem, this program speaks to your interests while expanding your knowledge and equipping you for a broad range of industries and roles. In addition to our on-campus program, a fully online course of study is available.
A bachelor’s degree in statistics isn’t a requirement, but candidates should have a strong foundation in calculus and statistics.
The Department of Mathematics and Statistical Science designed this degree to fulfill the needs of today’s workforce. In addition to analyzing numbers, statistics professionals use computational tools, analytics platforms and specialized software to evaluate large datasets and uncover meaningful insights. Because they often collaborate with non-technical teams during the decision-making process, they must be able to communicate their findings clearly and persuasively.
Not everyone considering this career path starts with the same goal. You may eye a role in business, want to influence crop and animal production, or seek a position in the biological sciences, human behavior, government or health care. You can tailor the degree to meet your career goals. You’ll complete 24 credits of core courses and then complete either:
- A thesis (STAT 500)
- An internship (STAT 598) with an internship report (requirements)
- A consulting option (minimum of 8 credits of STAT 597)
Through this format, you’ll design and analyze experimental data, plan and interpret surveys, explore relationships among social, physical and biological variables; and use numerical data tools and statistical theory to solve real-world problems. In the process, you’ll:
- Learn how to compile complex data, analyze it and use your results to solve common problems and deliver sound solutions.
- Gain hands-on experience through research projects based on the potential challenges you may face in your career.
- Learn to interpret data and perform data management and statistical analyses with current tools like SAS and R.
- Understand how to apply results gleaned from probability and statistical inference theories in a broad range of scenarios.
- Refine your oral and written communication skills for delivering and discussing results with non-analytical business professionals
- Become familiar with the tools and techniques for modeling large and multifaceted data sets to identify patterns and draw insights.
- Prepare to have a voice in the decision-making process through exposure to forecasting, predictive analytics and converting raw data into actionable insights.
- Explore the research, development and analytical applications of quantitative tools.
- Advance your mathematical knowledge to prepare for a career or apply to a doctoral program.
View the online statistical science graduate handbook
Overview
Collect and analyze
Application information
- Education level: Bachelor's
- GPA: 3.0
- GRE: No
- TOEFL/IELTS/Duolingo: 79/6.5/115 (for applicants whose education was completed in countries where English is not an official language)
- Number of references: Three
- Other requirements: For teaching assistantship consideration, include the TA Application Form as part of the online application.
Program availability:
Concentration: thesis and non-thesis
Semester intake: Summer, Fall, Spring
Deadlines: General application deadlines
Visit Graduate Admissions to learn more and start your application.
Contact information
Mathematics and Statistical Science department contact: Lana Unger; mathstat@uidaho.edu, 208-885-6742
Graduate Admissions contact: graduateadmissions@uidaho.edu, 208-885-4001
Find Mathematics and Statistical Science faculty advisor contacts
Costs, funding and research
To learn about various ways to fund your graduate degree, check out Graduate Funding.
For detailed information about the cost of attendance, visit Financial Aid.
- Beginning Fall 2026, M.S. students appointed as Teaching Assistants will receive an annual support package that includes:
- Base stipend: $18,392.40 for the 9-month academic year
- In-state tuition: fully covered by the program
- Out-of-state tuition: waived for non-resident students
- Health insurance: Student Health Insurance Program premiums not covered
- Summer support: additional scholarship up to $8,000, depending on funding availability
Related clubs and organizations
- Graduate and Professional Student Association (GPSA)
- Machine Learning Group
- Math Club
- Pi Mu Epsilon (Mathematical honor society)
Recognized STEM Program
This program is recognized as a STEM program by the U.S. Department of Homeland Security and may be eligible for the 24-month STEM optional practical training extension for international students.
Degree fit
This program could be a good fit if you:
- Enjoy working with numbers
- Have strengths in quantitative methods
- Are able to analyze data to make decisions
- Have experience working in labs and in an office environment
- Are comfortable with technology
- Have strong problem-solving and analytical thinking skills
Career outcomes
Current job openings
896 in ID, WA, OR, MT and HIPotential careers and mid-career salaries
- Natural Sciences Managers • Clinical Research Coordinators
$152,883 - Actuaries
$138,244 - Mathematicians
$126,548 - Statisticians
$98,792 - Clinical Data Managers
$139,775
* Career data provided by Lightcast.