Applied Statistics Student Working in Class

Master's in Applied Statistics Degree Online

Master of Science (M.S.)

Immerse yourself in the study of applied statistics and build your skills as an analytical thinker and problem solver.

Bring data to life with UND's Master of Science in Applied Statistics. Set yourself apart with an education in a variety of foundational courses and statistical software packages.

Program type:
Master's Degree
Format:
Online
Est. time to complete:
2 - 3 years
Credit hours:
33

Why earn an M.S. in applied statistics?

Application Deadline
Fall:
Apr. 1* | Aug. 1

*Priority deadline

If you're an international student, refer to the international application process for deadlines.

At UND, you'll experience a Department of Mathematics featuring small classes and collaborative relationships with industry partners. Working with the same data software programs that employers are looking for, you’ll build crucial skills in data visualization, predictive modeling and data analysis techniques.

Through the master's in Applied Statistics at UND, you’ll gain:

  • The range of skills required to carry out programs of independent research as a data scientist
  • The ability to effectively use a variety statistical software packages such as Python, SAS and R
  • Analytical skills needed to work as a professional data analyst or data scientist
  • Competency in high level statistics including:
    • Problem solving
    • Data analysis
    • Data science and data mining
    • Machine learning
    • Big data

Designed to meet the needs of students interested in careers in statistical data analysis and data science with an emphasis in statistics, you'll take part in courses that cover a range of topics that are relevant to the current application of statistics in the workforce, from an applied perspective.

As an enrolled student in our master's in Applied Statistics program, you will use modern applied statistical methods for data analysis to complete foundational and methods courses with data science applications interwoven through projects.

Applied Statistics Master's at UND

  • Take courses in multivariate statistics and time series.

  • Learn to harness the power of Python, SAS and R software.

  • No GRE required, and program can be completed 100% online

  • Gain a competitive edge through UND's Accelerate to Industry (A2i)™ program. This workforce readiness program provides immersive job training for graduate students and postdoctoral researchers. It is one of only 30 programs nationwide.

  • Study at a Carnegie Doctoral Research Institution ranked #151 by the NSF. Students are an integral part of UND research.

  • Enhance your professional skills at 60+ free workshops offered through the UND School of Graduate Studies. Our goal is to provide you with the workforce skills and job search strategies to succeed.

What can I do with a master's in applied statistics?

100K

Median annual salary for mathematicians and statisticians

U.S. Bureau of Labor Statistics

30%

Anticipated job growth for mathematicians and statisticians

U.S. Bureau of Labor Statistics

Graduates of UND's master's in Applied Statistics program play critical roles in many industries, including business, engineering and more. Experts are in demand in a range of jobs including:

  • Actuary: Play an instrumental role in helping organizations make informed financial decisions and plan for the future.
  • Business Analyst: Dissect data to provide valuable insights that drive strategic business decisions.
  • Data Engineer: Manage and optimize data pipelines and databases.
  • Data Mining Analyst: Extract hidden patterns and insights from complex datasets to make data-driven decisions and uncover untapped opportunities.
  • Data Scientist: Convert raw data into actionable insights, using advanced statistical methods and machine learning techniques.
  • Data Visualization Expert: Transform data into compelling, easy-to-understand visual representations.
  • Financial Quantitative Analyst: Use advanced statistical skills to develop models, assess risk, and optimize investment strategies.
  • Statistical Software Designer: Contribute to the development and enhancement of statistical software tools.
  • Statistician: Collect, analyze, interpret, and present data for evidence-based decision-making.

 

Applied Statistics Master's Courses

MATH 421. Statistical Theory I. 3 Credits.

Discrete and continuous random variables, expectation, moments, moment generating functions, properties of special distributions, introduction to hypothesis testing, sampling distributions, Central Limit Theorem, curve of regression, correlation, empirical regression by least squares, maximum likelihood estimation, Neyman-Pearson lemma, likelihood ratio test, power function, chi-square tests, change of variable, "t" and "F" tests, one and two-way ANOVA, nonparametric methods. Prerequisite: MATH 265. F.

STAT 500. Computing for Statistics. 1 Credit.

Use and programming of computer packages for statistics. Preparation for use of software in graduate-level statistics courses. Packages covered may include R, Python, SAS, and others. Prerequisites: At least one course in statistics, and prior programming coursework or experience. Prerequisite: At least one course in statistics and computer programming coursework or experience. F,SS.

STAT 541. Linear Statistical Models. 3 Credits.

Distributions of quadratic forms, general linear hypotheses of full rank, least squares, Gauss-Markoff theorem, estimability, parametric transformations, Cochran's theorem, projection operators and conditional inverses in generalized least squares, applications to ANOVA and experimental design models. Prerequisite: MATH 422 or consent of instructor. F.

STAT 543. Design of Experiments. 3 Credits.

Design and analysis of experimental data. Includes the use of factorial designs, Latin square designs, randomized block designs, split-plot designs and others. Prerequisite: STAT 541. S, odd years.

STAT 545. Multivariate Statistics. 3 Credits.

Theory-based statistical methods for analyzing and displaying multivariate data with applications in machine learning and data mining. Topics include inference in multivariate populations, multivariate analysis of variance, summarizing high dimensional data using principal component analysis, factor analysis, canonical correlation analysis, linear and quadratic methods of classification, cluster analysis, classification trees and random forests, multi-dimensional scaling, and support vector machines. Prerequisite: STAT 500, STAT 541, and MATH 442 or experience with linear algebra concepts. S, even years.

STAT 551. Statistical Graphics. 3 Credits.

Statistical graphics and visualization of one-, two-, or higher-dimensional data. Well-designed graphs and charts are essential for exploration of data, assessment of models, and presentation of results. Includes specific methods as well as general principles, such as effective use of color and motion. Prerequisite: STAT 500. F, even years.

UND's Online Master's in Applied Statistics

9#

best online university in the nation

EDsmart

2#

best online graduate programs

EDsmart

No matter how you customize your online experience, you’ll get the same top-quality education as any other on-campus student.

  • Same degree. All online programs are fully accredited by the Higher Learning Commission (HLC). Your transcript and diploma are exactly the same as our on-campus students.
  • Same classes. You’ll take courses from UND professors, start and end the semesters at the same time and take the same classes as a student on campus.
  • Real interaction. You can ask questions, get feedback and regularly connect with your professors, peers and professionals in the field.
  • Your own academic advisor. As an invaluable go-to, they’re focused on you, your personal success and your future career.
  • Free online tutoring. We're here to help you one-on-one at no cost. Plus, get access to a variety of self-help online study resources.
  • Unlimited academic coaching. Need support to achieve your academic goals or feeling stumped by a tough course? We'll help with everything from stress and time management to improving your memory to achieve higher test scores.
  • Full online access. Dig into virtual research from the Chester Fritz Library. Improve your writing skills with online help from the UND Writing Center. Get online access to career services, veteran and military services, financial services and more.
  • 24/7 technical support. UND provides free computer, email and other technical support for all online students.

Best Online College

Reportedly high alumni salaries and job placement rates, coupled with affordable online tuition rates make UND a best-value university for online education. UND's breadth of online programs rivals all other non-profit universities in the upper Midwest making UND one of the best online schools in the region.

UND ranks among the best online colleges in the nation for:

  • Affordability
  • Student satisfaction (retention rate)
  • Academic quality (4-year graduate rate)
  • Student outcomes (20-year return on investment per Paysacle.com)

Flexible Online Applied Statistics Master's Classes

With asynchronous classes, you do not attend class at a set time. If you need to balance work, family, and other commitments, this flexible format allows you to learn anywhere at any time.

Depending on your instructor, you’ll learn online through:

  • Lesson modules
  • Streaming video content
  • Virtual libraries
  • Posted lectures
  • Online simulations

There will be times when you interact with your instructor and classmates through online discussion boards, polls, and chat rooms.

Your learning revolves around materials that can be accessed on your own time within a set time frame. However, this is not a self-paced course. You’ll have structure and deadlines.

Leaders that Do

Students at UND take chances, seek challenges and become leaders in the community.

Explore More Options

Check out the faculty you'll work with at UND or discover additional education opportunities.

Department Contact
Ryan Zerr, B.S., M.S., Ph.D
Department Chair
P 701.777.2882
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