Statistics Students in the classroom

Master statistics at UD

On campus or online

The University of Delaware offers comprehensive graduate degree programs that blend statistical coursework with practical computing skills for today’s data‑driven world. Whether you prefer in-person or online learning, UD has master’s level statistics degree programs to level up your career. 

Request Information About UD's Statistics master's programs

M.S. in Statistics (in-person):

  • Python, R, and SAS training
  • Internship opportunities across multiple industries
  • Designed for traditional students
  • Learn how to design and apply cutting-edge machine learning and AI techniques
  • Learn to use statistical tools to conduct data analysis for companies, organizations and clients

M.S. in Applied Statistics (online):

  • Applications in Regression, Experiment Design, Logistic Regression and Multivariate Methods
  • Essential technology including Statistical Analysis System (SAS), Python, and R
  • Analyze a wide variety of data and apply appropriate techniques, according to data type and research objective
  • Design and conduct an applied research project

 

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In-Person Program Highlights

Students in a Stats class.

Students graduating with the Master of Science in Statistics will be more competitive for successful careers in technology, finance, agriculture, healthcare, pharmaceuticals and government sectors.

 

“UD provided me with a strong analytical foundation and problem-solving skills essential for my career. I was exposed to multiple programming languages, including SAS, Python, and R, which I use daily for data analysis, modeling, and automation. If you are looking for a program that balances rigorous academics with applied learning, UD is a great choice.”

- Samuel Hanson

UD Class of 2023, Actuarial Consultant

Online Program Highlights

The University of Delaware’s online Master of Science in Applied Statistics (ASTAT) program includes numerous courses developed by the same faculty members who teach our on-campus students. Online courses are managed by statisticians who are full-time faculty members in the Department of Applied Economics and Statistics.

 

“The online program was much more suited to my situation. I could choose any time to do my assignments while having time to work or take care of my daughter, whatever I needed.”

- Yaxi Huang

Senior Statistical Analyst, UD Class of 2024

Interested in applying to UD Statistics master's Program?

In-Person Admission Requirements:

  • Undergraduate GPA of 3.0 is preferred. 

  • Any available transcripts

  • Letters of recommendation

  • For international applicants from countries where English is not the primary language. demonstration of English proficiency is required by TOEFL or IELTS that meets the test scores minimum requirements set forth by the University of Delaware. 
  • The GRE is recommended but not required.

 

Applicants to the M.S. in Statistics degree program are expected to hold a bachelor's degree or higher by the time of admission. There is no requirement to have majored in a specific undergraduate field as a prerequisite for admission.

At a minimum, applicants should have completed at least two semesters of calculus, one semester of linear algebra, and at least one statistics course prior to enrollment. While not required, some programming experience is considered a plus.

 

Online Admission Requirements:

  • our-year undergraduate degree, or equivalent, from an accredited institution
  • Minimum grade point average (GPA) of 2.5 on a 4.0 system in mathematics, business, economics, or related discipline
  • Competence in basic statistics, linear algebra, and advanced calculus
    • UD offers a bridge course to prepare students who require a more sufficient background in statistics. These students can take STAT 608 (Statistical Research Methods) online any semester prior to beginning the program. Credits for STAT 608 do not count toward the degree’s 30-credit requirement.
    • Students who require math courses can be admitted into the online M.S. in Applied Statistics program on a conditional basis, but must complete required courses to begin the program.
    • A 1-credit math review course is available to students who meet the program’s admissions requirement for math. Students may find this refresher course beneficial and can take it for credit toward the degree as they begin the program.
  • Computer programming experience

Note: Candidates who meet stated minimum academic requirements are not guaranteed admission, and candidates who do not meet these requirements may be admitted if they offer other related strengths.

 

Info for International Students interested in the Online Prorgram

International students must meet all of the admissions requirements and provide all of the application materials described on our admissions page. Additionally, students whose first language is not English must supply a TOEFL score to demonstrate English competence.

TOEFL (Test of English as a Foreign Language) is offered by the Educational Testing Service (ETS) at test centers throughout the world. To be considered for admission, the University requires applicants to have an official paper-based TOEFL score of at least 550 or an Internet-based TOEFL (iBT) score of at least 85. The University expects a minimum score of 18 on the Internet-based Speaking Test. TOEFL scores more than two years old cannot be validated or considered official.

To pay the application fee, international students must use a check drawn on a U.S. bank account or an International Postal Money Order.

In-Person Application Deadlines:

We strongly recommend that applicants apply as early as possible (especially if a visa is required).

Fall:

  • February 1 (priority application)
  • August 1 (final application deadline)

There are only a limited number of teaching assistantship (TA) opportunities. Priority will be given to applications received before February 1.

Spring: 

We recommend all students apply for fall admission due to course sequencing and internship opportunities. Applicants considering spring admission should contact the program director directly to discuss the option of spring admission.

 

Online Application Deadlines:

The online Master of Science in Applied Statistics program provides students with three opportunities to begin the program each year: Fall, Spring and Summer.

Please review the chart below for the application deadlines.

Session Application Deadline Session Start Date
Summer I May 29, 2026 June 8, 2026
Fall I August 21, 2026 August 25, 2026
Fall II N/A N/A
Spring I January 1, 2026 February 2, 2026
Spring II N/A N/A

For our annual academic calendar and more detailed application information, please contact an admissions counselor at onlinestats@udel.edu.

In-Person Cost of Attendance:

There are limited scholarships or financial aid available for this degree program. The program requires 33 credits of coursework at a current cost of $1,069 per credit hour.

The department offers limited funding for first-year M.S. students, but does connect students for internship opportunities. The department coordinates interviews between first-year students and participating companies located in Delaware. Successful candidates secure a paid part-time internship for their second year. Please note that internship opportunities for M.S. students are competitive, and the number of available positions is determined by participating companies and may fluctuate each year.

Students may complete the program as full-time students or may study part-time while working off campus. Due to the hands-on nature of the training, most courses are in-person and require students to live in or near Newark, Delaware.

The University of Delaware’s Graduate College website includes a variety of resources for prospective students, including estimates of the costs of attendance for graduate school.

 

Online Cost of Attendance:

$1,116 Per Credit Hour

The online Master of Science in Applied Statistics is an outstanding value. It provides students with a high-quality education from a respected university for an affordable price. Moreover, 90 percent of students who graduate with a master’s degree in statistics from UD’s Department of Applied Economics and Statistics (APEC) find employment within six months.

Jobs in the field pay a median annual wage of $92,270, with the highest 10% of employees earning more than $150,840, according to the Bureau of Labor Statistics. APEC graduates working in some areas of the country, including Silicon Valley, report earning annual salaries between $180,000 and $250,000.

  • Tuition/Credit Hour (30 credit hours required) = $1,116
  • Full Tuition = $33,480

Tuition includes a license for the Statistical Analysis System (SAS) JMP interface, which has an annual value of $1,500. Students in the online master’s degree program in applied statistics pay no other fees, but are responsible for the cost of their textbooks.

In-Person Program Educational Goals:

Graduates of the Statistics M.S. program will be able to:

  1. Demonstrate knowledge of the theoretical foundations of statistics and data analytics.
  2. Understand and utilize statistical and data mining techniques to solve modern data problems applicable to diverse business and science applications.
  3. Apply advanced statistical programming, cloud computing, and database management skills with modern statistical and database software platforms.
  4. Communicate data analytics and statistical learning outcomes effectively in oral presentation and writing with critical and inferential thinking both as an independent analyst and in collaborative environments.
  5. Adapt advanced statistical techniques and programming to modern industry applications.
  6. Demonstrate responsible and ethical professional conduct that respects diverse perspectives and promotes inclusivity.

The total credits required for the degree are 33. If the student lacks background knowledge for one or more courses, prerequisite courses may need to be taken that do not count toward the degree.

21 credits of Core Courses, 12 credits of Approved Elective Courses.

For detailed curricular information, please visit the graduate catalog.

 

Online Program Educational Goals:

The University of Delaware’s online Master of Science in Applied Statistics is designed for working professionals from a range of occupational and educational backgrounds. The flexible online format enables students to continue working while earning their degree and immediately apply what they learn in the classroom to their work environment.

The program requires students to complete a minimum of 30 credit hours of graduate-level coursework, divided equally between core and elective courses. Students obtain training in theoretical statistics through courses that cover the disciplines of probability and mathematical statistics, and training in applied statistical techniques through courses that include regression, experiment design, multivariate analysis, logistic regression, and data management. Students acquire experiential training through case study and an optional research project.

The program is divided into semesters with each course spanning fifteen weeks. Most students will complete the program on a part-time basis, taking 3 to 10 credits per semester, depending on their work and other obligations. Students who are not working are permitted to take up to three 3-credit courses and one 1-credit course per semester.

Our 1-credit, pass/fail courses are intended to give students practice using essential data analysis and statistics software and tools. There are no exams for these courses; however, students will complete assignments at their own pace. With 15 lessons in each course, students are encouraged to complete approximately one lesson per week.

New students are assigned an advisor who will provide advice concerning course selection based on the student’s interests, professional experience, and educational background.

The department offers internship opportunities available in the second year of study. We have established relationships with area companies; past student placements include Barclays, JP Morgan Chase, Sallie Mae, FMC, and Christiana Care Health System. The department coordinates interviews between first-year students and participating companies located in Delaware. Successful candidates secure a paid part-time internship for their second year, including a partial tuition scholarship. Internship for M.S. students are competitive, and the number of available positions is determined by participating companies and may fluctuate each year.

"We are committed to helping students excel not only in coursework but also in translating statistical knowledge into real-world applications in today’s data-driven landscape. Our students have the opportunity to participate in a competitive, year-long internship program that offers invaluable hands-on experience at leading companies."


Wei Qian

Graduate Program Director

Faculty headshot photo of Wei Qian

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