Online Master’s in Statistics

<a href="https://www.onlinemasterscolleges.com/online-masters-in-statistics/">Online Master's in Statistics</a>

College Name & Address	Tuition	Graduation Rate
#1 Texas A&M University JKW Administration Building, Suite 200, College Station, Texas 77843-1248	$6,677	82%
#2 North Carolina State University 2101 Hillsborough Street, Raleigh, North Carolina 27695-7001	$9,095	82%
#3 Colorado State University 102 Administration Building, Fort Collins, Colorado 80523-0100	$10,520	70%
#4 University Of South Carolina Columbia-Campus, Columbia, South Carolina 29208	$13,737	77%
#5 University of Texas, Rio Grande Valley 1201 W University Dr, Edinburg, Texas 78539-2999	$5,959	NA
#6 Southern New Hampshire University 2500 North River Road, Manchester, New Hampshire 03106	$18,810	44%
#7 University of Illinois Chicago 601 S Morgan, Chicago, Illinois 60607	$8,270	54%
#8 Pennsylvania State University World Campus 28 Outreach Building, University Park, Pennsylvania 16802	$21,682	62%
#9 Oklahoma State University 107 Whitehurst, Stillwater, Oklahoma 74078-1015	$5,531	65%
#10 Rochester Institute Of Technology 1 Lomb Memorial Dr, Rochester, New York 14623-5603	$47,522	67%
#11 University of Houston 212 E. Cullen Building, Houston, Texas 77204	$8,370	61%
#12 National University 11255 North Torrey Pines Road, La Jolla, California 92037-1011	$15,480	29%
#13 Saint Louis University One North Grand Blvd, Saint Louis, Missouri 63103-2097	$20,880	79%
#14 University Of Maryland College Park, Maryland 20742	$13,158	87%
#15 Indiana University 107 South Indiana Ave., Bloomington, Indiana 47405-7000	$9,501	79%
#16 Oregon State University 1500 SW Jefferson Avenue, Corvallis, Oregon 97331	$12,933	67%
#17 University of Kentucky South Limestone, Lexington, Kentucky 40506-0032	$12,055	66%
#18 University of Idaho 875 Perimeter Drive MS 2282, Moscow, Idaho 83844-2282	$7,754	56%
#19 Dakota State University 820 N Washington Ave, Madison, South Dakota 57042-1799	$5,939	43%
#20 University Of Missouri 105 Jesse Hall, Columbia, Missouri 65211-1050	$9,264	71%
#21 University of Oklahoma 2501 E Memorial Rd, Edmond, Oklahoma 73013	$11,250	55%
#22 Harrisburg University 326 Market Street, Harrisburg, Pennsylvania 17101-2208	$7,200	31%
#23 Arizona State University 1475 N Scottsdale Rd, Scottsdale, Arizona 85257	$6,384	4%
#24 Northwestern University 633 Clark St, Evanston, Illinois 60208	$56,067	94%
#25 Syracuse University 900 South Crouse Ave., Syracuse, New York 13244	$38,880	83%
#26 University of West Florida 11000 University Parkway, Pensacola, Florida 32514-5750	$7,088	46%
#27 American University 4400 Massachusetts Ave NW, Washington, District of Columbia 20016-8001	$30,351	79%
#28 University of Delaware 104 Hullihen Hall, Newark, Delaware 19716	$34,164	81%

Source – Integrated Post Secondary Education Data System & University Data
*Tuition rates are for in-state and per year. Program specific rates may apply.
**NA – data not available

In today’s time and age, where data collection is sure to be never-ending, statistics programs play a constructive role in collecting, organizing, analyzing, and presenting the data. It helps them make the right decisions and improves many segments and aspects of a company. A Master’s in Statistics program offers a comprehensive exploration of statistical methods, data analysis, and their applications. Geared towards individuals with a background in mathematics, statistics, or related fields, this program provides advanced knowledge and skills essential in today’s data-driven world.

Understanding a Master’s in Statistics program involves recognizing its core curriculum, practical applications, research opportunities, and the flexibility it provides. Graduates emerge with a well-rounded skill set, ready to contribute to data-driven decision-making across various industries. The sections below have provided a breakdown of online master’s in statistics programs.

Curriculum and Skills Gained in an Online Master’s in Statistics Program

The curriculum of a graduate statistics program is thoughtfully designed to provide students with a comprehensive understanding of statistical methodologies and their practical applications. Typically, the program consists of a mix of core courses, electives, and opportunities for hands-on experiences.  Core courses often commence with a focus on probability theory and statistical inference. They delve into foundational concepts, learning to make population inferences based on sample data.

The curriculum often includes a thesis or research project component. It allows students to delve into original research, applying their statistical skills to solve a specific problem under the guidance of faculty. The curriculum of a graduate statistics program is designed to equip them with a strong foundation in statistical theory, practical skills in data analysis, and the ability to apply statistical methods to real-world scenarios. This multifaceted approach prepares graduates for diverse roles in academia, research, industry, and other sectors where statistical expertise is in high demand. Here are some of the courses the statistics master’s program includes:

Probability

Dive into the fundamental principles of probability theory, exploring concepts such as random events, dependence and independence, random variables, moments, and distributions of functions of random variables. Delve into the intricacies of weak laws of large numbers and central limit theorems, providing a solid foundation for understanding the inherent randomness in various phenomena.

Data Analysis

This course is designed to equip students with advanced skills in analyzing data with variables of a definite nature. Explore crucial topics such as independence/association tests for contingency tables, exact tests for small counts, and the application of generalized linear models. Specifically, delve into logistic regression models for binary response variables, log-linear models for count data, analyses of ordinal variables, and multi-category logit models for multiple-category responses.

Applied Bayesian Analysis

Unlock the power of Bayesian concepts in statistical inference through this applied course. Gain insights into Bayesian learning and delve into Markov chain Monte Carlo methods, utilizing existing software tools such as SAS and OpenBUGS. Explore the application of linear and hierarchical models and hone one’s skills in model selection and diagnostics, offering a practical understanding of Bayesian analysis.

Mathematical Statistics

This course provides a theoretical exploration of statistical inference, covering critical aspects like sufficiency, estimation, hypothesis testing, regression, analysis of variance, and chi-square tests. Gain a deeper understanding of statistical methods’ mathematical foundations, enhancing the ability to analyze and interpret statistical results critically.

Regression Methods

Uncover the complexities of analyzing research data through various regression methods. This course covers simple and multiple regression and correlation techniques, allowing students to navigate polynomial models, indicator variables, and advanced approaches like step-wise, piece-wise, and logistic regression. Develop practical skills in utilizing regression methods to derive meaningful insights from diverse datasets.

Some additional courses that we can find across programs include:

• Basic probability theory
• Random events
• Dependence and independence
• Random variables
• Moments
• Weak laws of large numbers
• Central limit theorems
• Analysis of data involving variables of a definite nature
• Independence/association test for contingency tables
• Markov chain Monte Carlo methods using existing software [SAS and OpenBUGS]
• Linear and hierarchical models
• Regression analysis
• Analysis of variance
• Chi-square tests
• Practical applications of regression methods

Here are vital skills that graduates gain by the end of the program:

• Statistical Modeling
  Graduates develop proficiency in constructing and applying statistical models to analyze complex datasets;
• Probability and Inference
  A solid understanding of probability theory and statistical inference equips graduates with the foundation to assess uncertainty, make predictions, and draw valid conclusions from data;
• Data Analysis Techniques
  Graduates gain expertise in various data analysis techniques, including independence/association tests, generalized linear models, logistic regression, and log-linear models;
• Bayesian Analysis
  Mastery in Bayesian concepts and techniques allows graduates to apply Bayesian inference to real-world problems;
• Research Skills
  The program emphasizes research methodologies, enabling graduates to design and conduct statistical research projects;
• Regression Analysis
  Proficiency in regression methods, including simple and multiple regression, logistic regression, and piece-wise regression, empowers graduates to analyze relationships between variables and make predictions based on data;
• Critical Thinking and Problem-Solving
  The program cultivates critical thinking skills, allowing graduates to approach problems analytically and develop practical solutions;
• Communication and Reporting
  Graduates enhance their ability to communicate statistical findings to both technical and non-technical audiences;
• Software Proficiency
  Graduates become proficient in statistical software tools such as SAS and OpenBUGS;
• Professional Development
  The program often includes components on professional development, providing graduates with guidance on career paths, networking opportunities, and exposure to real-world applications of statistics.

Online Master’s in Statistics Degree Types

For a detailed and better understanding of this subject, different universities offer Masters in Statistics in different formats. Here are the three different types of degrees. 

Master of Arts in Statistics Degree

In today’s data-dominated employment structure, the Masters of Arts in Science degree is a boon, as it allows students to collect and analyze data and obtain meaningful questions from which they are sure to achieve precise and significant results.

Masters of Science in Statistics Online

 A master of Science degree in statistics is an advanced training course that deals with mathematical and applied statistics in an elaborate research environment.

Masters of Business Administration in Statistics

One of the most popular courses. An MBA in statistics offers to educate a person with skills and knowledge vital for students to draw inferences and conclusions from a wide variety of data.

Specializations for an Online Master’s Statistics

Online Master’s in Statistics concentrations greatly enhance statistical skills and career prospects. The specializations in a Master’s in Statistics include:

Specialization	Description	Potential Careers
Biostatistics	Focuses on applying statistical methods to biological and health-related research.	Biostatistician, Epidemiologist, Clinical Trial Analyst, and more.
Business Analytics	Emphasizes statistical techniques for business decision-making and data-driven strategies.	Data Analyst, Business Intelligence Analyst, Consultant, and more.
Environmental Statistics	Concentrates on statistical methods applied to environmental research and sustainability studies.	Environmental Statistician, Climate Data Analyst, Researcher, and more.
Financial Statistics	Specializes in statistical modeling and analysis for financial markets, risk assessment, and investment strategies.	Financial Analyst, Risk Analyst, Quantitative Analyst, and more.
Machine Learning	Integrates statistical methods with machine learning algorithms for predictive modeling and pattern recognition.	Machine Learning Engineer, Data Scientist, AI Specialist, and more.
Social Science Statistics	Applies statistical methods to social science research, including sociology, psychology, and political science.	Social Statistician, Policy Analyst, Survey Researcher, and more.
Computational Statistics	Focuses on developing and applying computational methods for statistical analysis and data interpretation.	Computational Statistician, Research Scientist, Data Engineer, and more.
Applied Bayesian Analysis	Specializes in Bayesian statistical methods, including modeling, learning, and Markov chain Monte Carlo techniques.	Bayesian Statistician, Research Scientist, Data Analyst, and more.
Statistical Consulting	Equips students with skills for providing statistical advice and solutions to clients across various industries.	Statistical Consultant, Analytics Advisor, Research Analyst, and more.

Statistics vs. Applied Statistics

The general difference between statistics and applied statistics is why and how to let us look at the differences better. Statistics deals with scientific discipline and is a branch of mathematics. In contrast, applied statistics is a term commonly used for non-mathematical courses, which focus primarily on how statistical tools can be applied for data analysis. While statistics is a mathematical science that deals with data collection, presentation, analysis, and interpretation, applied statistics is about calculating from sample data that could be related to a person, an event, etc.

Timeline for Graduating from Masters in Statistics Online Programs

The completion timeline for a Master’s in Statistics can be tailored based on enrollment status, with options including full-time, part-time, and accelerated tracks. Full-time students typically progress through core and advanced coursework over two years, potentially engaging in internships or research opportunities during the summer. Part-time enrollment allows for a more extended timeline, with one spreading coursework over a flexible period while managing other commitments. Accelerated enrollment offers an intensive approach, completing core and advanced courses in a condensed timeframe, potentially leading to graduation in a shorter duration. Each track culminates in completing program requirements, whether through comprehensive exams, a thesis, or other culminating activities, ultimately leading to the awarding of a Master’s in Statistics. 

Accelerated Masters in Statistics Online Programs

An Accelerated Master’s in Statistics is a specialized program designed to provide an expedited pathway for students to earn their Master’s degree in Statistics within a shorter timeframe than traditional programs. This accelerated format is characterized by an intense and focused curriculum that allows them to acquire the necessary knowledge and skills in statistics efficiently. Some institutions providing an accelerated program in statistics include:

• Colorado State University ^[2]
• University of Michigan ^[3]

Online Master’s in Statistics Admission Requirements

The one course that has been gaining immense popularity with the many opportunities it offers is statistics. With a massive demand for good statisticians across the globe, a large number of students are heading in this direction. Admission requirements for a Master’s in Statistics program may vary slightly depending on the university or institution. However, standard criteria and components are typically required for admission:

• Educational Background
  An accredited institution usually requires a completed undergraduate degree in statistics, mathematics, or a related field. Some programs may accept students with degrees in other quantitative disciplines.
• Transcripts
  Official transcripts of academic records from all post-secondary institutions attended. It includes information about courses taken, grades received, and the overall GPA.
• Letters of Recommendation
  Typically, two to three letters of recommendation from academic or professional references. These letters should attest to the applicant’s academic abilities, work ethic, and potential for success in a Master’s in Statistics program.
• Statement of Purpose
  A Statement of Purpose or Personal Statement outlining the applicant’s academic and professional background, career goals, and reasons for pursuing a Master’s in Statistics. This is an opportunity for applicants to showcase their motivation and alignment with the program.
• Résumé or Curriculum Vitae (CV)
  A detailed résumé or CV highlighting academic achievements, relevant work experience, research projects, publications (if any), and any additional qualifications.
• Standardized Test Scores
  Some programs may require standardized test scores, such as the GRE (Graduate Record Examination) or GMAT (Graduate Management Admission Test). Check the program’s specific requirements to determine whether these tests are necessary.
• Prerequisite Courses
  Specific prerequisite courses in mathematics or statistics may be required depending on the applicant’s undergraduate background. These prerequisites ensure that students entering the program have a foundational understanding of key concepts.
• Interview (if applicable)
  Programs may sometimes require an interview as part of the admission process. This interview allows the admissions committee to assess the applicant’s communication skills, motivation, and suitability for the program.
• Writing Sample (if applicable)
  Some programs may request a writing sample, especially if the applicant has a research background or publications. It provides an additional opportunity for applicants to showcase their writing and analytical skills.

Accreditation for Online Master’s in Statistics Degrees

Accreditation is the process in which credit or recognition is granted to educational institutions with suitable standards. The primary purpose of accreditation is to improve education quality and enhance public accountability. An Online Master’s in Statistics is generally offered by business or math schools within a university, and regional or national level bodies accredit most business schools. Below is one such agency that issues accreditation to statistics programs.

• The American Statistical Association offers accreditations and complete course certification ^[4]. 
  • PStat accreditation represents a demonstrated educational and professional experience measuring societal accomplishment.
  • GStat accreditation is an entry-level accreditation that prepares for PStat^® qualification.

Besides programmatic accreditation, universities are also typically regionally accredited by one of the six authorized agencies:

• New England Commission of Higher Education (NECHE)
• Middle States Commission on Higher Education (MSCHE)
• Higher Learning Commission (HLC)
• Southern Association of Colleges and Schools Commission on Colleges (SACSCOC)
• Northwest Commission on Colleges and Universities (NWCCU)
• Western Association of Schools and Colleges (WASC) Senior College and University Commission (WSCUC)

Read more about accreditation in the Accreditation Guide.

Online Masters in Statistics No GRE Programs

All those out there aspiring for a career in statistics, the good news is that many universities worldwide admit students with no GRE program requirement. It indicates they do not have to go through the hassle of GREs to pursue their passion. Here are a few universities that do not need the GRE for admission into a statistics master’s program:

• North Carolina State University ^[5]
• The University of Idaho ^[6] 
• Pennsylvania State University – World Campus ^[7]

Professional certifications and licensing in statistics provide individuals with formal recognition of their expertise and competence in applying statistical methodologies across various fields. These certifications often signify a commitment to high professional standards and ongoing learning. Some notable certifications and licensing options in the field of statistics include:

Professional Statistician (PStat®) ^[20]

The Professional Statistician designation, offered by the American Statistical Association (ASA), signifies a high statistical expertise and professional accomplishment. It is available to individuals with a master’s or higher degree in statistics or a related field, along with significant work experience.

Certified Analytics Professional (CAP) ^[21]

The CAP certification, provided by the Institute for Operations Research and the Management Sciences (INFORMS), is geared towards analytics professionals, including statisticians. It validates expertise in analytical processes and data analytics methodologies and the ability to derive insights from data.

SAS Certified Statistical Business Analyst Using SAS 9: Regression and Modeling ^[22]

Offered by SAS, a leading analytics software provider, this certification validates proficiency in using SAS software for statistical analysis, regression modeling, and data interpretation.

Certified Six Sigma Black Belt (CSSBB) ^[23]

Although not specific to statistics, Six Sigma certifications, such as the CSSBB offered by the American Society for Quality (ASQ), often involve statistical tools and methodologies. It is suitable for professionals seeking expertise in process improvement using statistical analysis.

It is essential for individuals to carefully consider the specific requirements, eligibility criteria, and industry recognition associated with each certification or licensing option. These credentials can enhance one’s professional standing, open up new career opportunities, and demonstrate a commitment to excellence in statistics.

Statistics can help us determine and analyze various concepts from every industry. For individuals opting for statistics as a career or pursuing higher education, this subject is the right choice for both professional and academic purposes. As the employment opportunities for statistics rise, the master’s credential gives the employee/professional an added advantage. Here are some of the resources to consider:

The American Statistical Association (ASA) ^[24]

The ASA is the world’s largest community of statisticians that has been promoting statistical practice across the globe by supporting excellence in the development, application, and dissemination of statistical science through various methods.

The Institute of Mathematical Statistics (IMS) ^[25]

The IMS is an international professional and scholarly institute dedicated to developing and applying statistical knowledge.

Statistics without Borders (SWB) ^[26] 

The SWB is a volunteer Outreach Group of the American Statistical Organization (SAS), providing voluntary services in statistics. The group helps individuals seeking knowledge in the subject by learning and applying.

Council of Professional Associations on Federal Statistics (COPAFS) ^[27] 

The COPAFS is a network of educators, researchers, public health professionals, civic groups, and businesses who rely on statistics that the national government collects.

International Statistical Institute (ISI) ^[28]

The ISI leads, supports, and promotes the worldwide understanding, development, and good practice of statistics.