Applied Statistics Student Working in Class

Online Master’s in Applied Statistics

Master of Science (M.S.)

Immerse yourself in the study of applied statistics and build your analytical thinking and problem-solving skills.

Transform raw data into actionable insights with UND’s 100% online master’s degree in Applied Statistics. Learn to solve complex problems using modern statistical methods, tools, and techniques – all on your schedule.

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

Why choose UND’s online master’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 & Statistics 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 of 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.

UND’s Master’s in Applied Statistics

  • Take courses in multivariate statistics and time series.

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

  • No GRE required. Plus you can complete the program 100% online and never come to campus.

  • 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 R1 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.

Skills You’ll Develop in UND’s Online Applied Statistics Program

UND’s M.S. in Applied Statistics prepares graduates with essential skills for data-driven industries, enabling careers in data science, business analytics, healthcare, finance, and more.

  • Statistical Analysis: Master core statistical techniques such as regression, ANOVA, and multivariate analysis.

  • Data Visualization: Create compelling and clear visual representations of data using tools like Tableau, R, and Python.

  • Predictive Modeling: Build and validate models to forecast outcomes and make data-driven decisions.

  • Machine Learning: Gain foundational knowledge in supervised and unsupervised learning techniques for big data applications.

  • Programming Proficiency: Develop expertise in statistical programming languages, including Python, R, and SAS.

  • Big Data Management: Work with large datasets and use cutting-edge tools for data cleaning, transformation, and analysis.

  • Experimental Design: Design, implement, and analyze experiments to draw valid and actionable conclusions.

  • Problem Solving: Use advanced problem-solving techniques to address complex data challenges in diverse fields.

  • Communication: Translate technical findings into actionable insights for both technical and non-technical audiences.

Career Outcomes with a Master’s in Applied Statistics

105K

Median annual salary for mathematicians and statisticians, 2023

U.S. Bureau of Labor Statistics

30%

Anticipated job growth for mathematicians and statisticians through 2032

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.

Industries Hiring UND Graduates

Graduates are highly sought after by industries such as:

  • Healthcare Analytics
  • Technology and AI Development
  • Financial Services
  • Government and Public Policy
  • E-commerce and Retail

 

Courses You'll Take

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, even 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, odd 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, odd years.

Why UND Online?

+160

online graduate programs

#1

best online college in North Dakota

Forbes

Over a third of UND's student population is exclusively online; plus, more take a combination of online and on-campus classes. You can feel reassured knowing you won't be alone in your online learning journey, and you'll have resources and services tailored to your needs.

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 at UND's libraries. 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.
  • Networking opportunities: Our significant online student population means you’ll have a large pool of peers to connect with. UND has numerous online events and activities to keep you connected.

Best Online College

Our high alumni salaries and job placement rates, with affordable online tuition rates make UND a best-value university for online education. UND's breadth of online programs rivals all other nonprofit 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 Payscale.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.

MAS FAQs

To qualify for our MAS program, prospective students must have completed courses analogous to:

  • Calculus I
  • Calculus II
  • Calculus III
  • Introduction to Linear Algebra
  • Applied Statistical Methods
  • Computer Programming

No, a thesis is not a requirement for obtaining the MAS degree. The level of comprehension in applied statistics is assessed through comprehensive examinations that cover two general areas approved by the candidate's faculty advisor. This program does an independent study or an internship including statistical applications.

Admission into the MAS program is contingent on meeting the School of Graduate Studies' general admission criteria. While candidates from diverse academic backgrounds, including but not limited to engineering and computer science, are welcome, a fundamental proficiency in calculus, linear algebra and statistics is essential.

Our MAS program takes 2-3 years to complete, providing students with sufficient time for gaining a thorough understanding of applied statistics.

Our MAS program equips graduates with the necessary skills and knowledge for pursuing diverse career opportunities, including roles such as statistician, actuary, business analyst, data engineer, data mining analyst, data scientist, data visualization expert, financial quantitative analyst, and statistical software designer. The vital contributions that professionals with a master’s in Applied Statistics can provide for organizational processes, including decision-making, risk assessment, and data analysis, position them as valuable assets across various industries.

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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