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Applied Statistics logo
Colorado State University logo

Applied Statistics

Colorado State University
Information last verified July 2026
Tuition USD 1,311 (Tuition (Credit)) — International students; USD 534 (Tuition (Credit)) — National students
Degree Master
Deadline Mar, 2027
Delivery On-campus
Location Fort Collins, United States
Language English

Program Overview

The Applied Statistics at Colorado State University is a Master programme in Mathematics & Statistics, delivered On-campus. This programme equips graduates with advanced knowledge and practical skills for professional and academic careers in the field.

Students gain a rigorous grounding in both the theoretical foundations and applied dimensions of mathematics & statistics. The programme combines coursework, research components, and practical projects that develop critical thinking, problem-solving, and specialist expertise relevant to industry and research needs.

Graduates of the Applied Statistics programme are well-prepared for careers in academia, industry, government, and the private sector across United States and internationally. The programme provides an internationally recognised qualification within the Bologna higher education framework.

Key Program Features

  1. Language of instruction: English
  2. Study mode: On-campus
  3. Tuition: USD 1,311 (Tuition (Credit)) — International students; USD 534 (Tuition (Credit)) — National students
  4. Location: Fort Collins, United States, United States

Career Opportunities

Graduates of the Applied Statistics programme are prepared for diverse careers in mathematics & statistics:

  1. Actuary
  2. Quantitative Analyst
  3. Data Analyst
  4. Risk Manager
  5. Financial Modeller
  6. Statistical Researcher

Program Curriculum

Course Structure

  1. Probability with Applications (2 credits).  Random variables, continuous and discrete distributions, expectations, joint and conditional distributions, transformations.  Applications to capture/recapture, financial and industrial models.  Prerequisite is Math Bootcamp or passing a competency exam.
  2. Regression Models and Applications (2 credits).  Estimation and hypothesis testing methods in linear models including t-tests, ANOVA, regression, including multiple regression.  Residual analyses, transformations, goodness of fit, interaction and confounding.   Implementation in SAS and R. Prerequisite is Computing Bootcamp or passing a competency exam.
  3. Nonparametric Methods (2 credits).  Rank-based methods, nonparametric inferential techniques, scatterplot smoothing, nonparametric function estimation. Environmental, bio- science applications.
  4. Quantitative Reasoning (1 credit). Confounding, types of bias such as selection bias and regression effect bias, Simpson’s paradox, experiments versus observational studies, etc.

Admission Requirements

Academic Requirements

  • At Least Three Semesters Of Calculus Or Through Multivariate Calculus
  • A Course In Linear Algebra
  • At Least One Undergraduate-level Statistics Course
  • Math Entrance Exam (Preferred) Or Gre Scores
  • Enrollment Is Limited

Tuition & Financial Information

Tuition Fee

USD 1,311 (Tuition (Credit)) — International students; USD 534 (Tuition (Credit)) — National students

Tuition fees: USD 1,311 (Tuition (Credit)) — International students; USD 534 (Tuition (Credit)) — National students

Financial Aid & Scholarships

Contact Colorado State University directly for scholarship, grant, and financial aid information for this programme. Many European universities offer merit-based and need-based funding for international and domestic students.

About Colorado State University

Colorado State University logo

Colorado State University

Fort Collins, United States

public land-grant research university in Fort Collins, Colorado, United States

University Profile
  • Application Deadline Mar, 2027
  • Start Date Sep, 2026
  • Language English