The MS in applied statistics focuses on data mining, design of experiments, health care applications, and the application of statistics to imaging and industrial environments. You’ll integrate knowledge learned through engaging courses to solve more complex problems for a wide range of organizations, including industrial, marketing, education, insurance, credit, government, and health care.

This statistics master's degree is available to both full- and part-time students with courses available both on-campus and online. Cooperative education is optional. The program is intended for students who do not wish to pursue a degree beyond the MS. However, a number of students have attained doctorate degrees at other universities.

• The applied statistics MS is available as an online or on-campus degree program.
• Learn how to use data mining, including machine learning tools and software like SAS and R, to drive insightful decision-making.
• Designed for students from varied professional and academic backgrounds. Your degree begins with a plan of study tailored to your interests and career goals.

Plan of Study

The program includes core courses, electives, and a capstone project or thesis.

Electives

Elective courses are chosen by the student with the guidance of their advisor. These courses are usually department courses but may include up to 6 credit hours from other departments (or may be transferred from other universities) that are consistent with students' professional objectives.

Capstone Thesis/Project

The capstone project is designed to ensure that students can integrate the knowledge from their courses to solve more complex problems. This project is taken near the end of a student’s course of study. Students, with advisor approval, may write a thesis as their capstone. A thesis maybe 3 or 6 credit hours. If a student writes a 6 credit hour thesis, they would be required to complete four elective courses instead of five.

Areas of Concentration

• Clinical Trails
• Data Mining/Machine Learning
• Industrial Statistics
• Informatics

Applied Statistics (project option), MS degree, typical course sequence
Course    Sem. Cr. Hrs.
First Year
STAT-631    Foundations of Statistics     3
STAT-641    Applied Linear Models - Regression    3
STAT-642    Applied Linear Models - ANOVA    3
     
Electives
9
Second Year
     
Electives
9
STAT-790    Capstone Thesis/Project    3
Total Semester Credit Hours    
30
 

Applied Statistics (thesis option), MS degree, typical course sequence
Course    Sem. Cr. Hrs.
First Year
STAT-631    Foundations of Statistics     3
STAT-641    Applied Linear Models - Regression    3
STAT-642    Applied Linear Models - ANOVA    3
     
Electives
9
Second Year
     
Electives
6
STAT-790    Capstone Thesis/Project    6
Total Semester Credit Hours    30

Admission Requirements

To be considered for admission to the MS program in applied statistics, candidates should fulfill the following requirements:

• Complete an online graduate application. Refer to Graduate Admission Deadlines and Requirements for information on application deadlines, entry terms, and more.
• Submit copies of official transcript(s) (in English) of all previously completed undergraduate and graduate course work, including any transfer credit earned.
• Hold a baccalaureate degree (or US equivalent) from an accredited university or college.
• Recommended minimum cumulative GPA of 3.0 (or equivalent).
• Submit a current resume or curriculum vitae.
• Two letters of recommendation are required. Refer to Application Instructions and Requirements for additional information.
• Not all programs require the submission of scores from entrance exams (GMAT or GRE). Please refer to the Graduate Admission Deadlines and Requirements page for more information.
• Submit a personal statement of educational objectives. Refer to Application Instructions and Requirements for additional information.
• Have college level credit or practical experience in mathematics (two course sequence in calculus) and one course in applied statistics.
• Have college level credit or practical experience in programming language.
• International applicants whose native language is not English must submit official test scores from the TOEFL, IELTS, or PTE. Students below the minimum requirement may be considered for conditional admission. Refer to Graduate Admission Deadlines and Requirements for additional information on English requirements. International applicants may be considered for an English test requirement waiver. Refer to Additional Requirements for International Applicants to review waiver eligibility.

Tuition fee-2 years1,06,000

Total fee-2 years1,44,000