Nikita Nath
Written By - Nikita Nath

Check MarkEdited By Gabriel D.

Check MarkReview & Contribution By Dr. Ethan Reed

When we talk about statistics, we’re essentially discussing numerical facts—vital elements in our understanding of data collection, presentation, analysis, and interpretation. Think of statistics as a tool that simplifies complex datasets, making them accessible to everyone. A Master’s in Statistics journey opens a world where numbers tell compelling stories and data-driven insights guide decision-making to new heights. This advanced degree not only explores the intricacies of statistical methodologies but also equips individuals with the analytical skills needed in our data-driven age.  As we delve into probability, inference, and data visualization, we discover the transformative potential of statistical analysis across various industries. 

According to the Bureau of Labor Statistics, there is a never-ending rise in demand for good statisticians [1]. With the qualification of statistics education, one can find endless job opportunities in both the public and private sectors. Pursuing this academic path invites one to unravel mysteries hidden within datasets, shape informed strategies, and contribute meaningfully to the evolving landscape of statistical sciences.  This guide is here to walk students through getting an online Master’s in Statistics—an opportunity for career growth in this vast and continually expanding field.

Online Masters in Statistics

Table Of Contents

Featured Online Programs

Southern New Hampshire University

PROGRAM: Online Masters Degrees

Southern New Hampshire University is a private, nonprofit, accredited institution with more than 3,000 on-campus students and over 60,000 online students, making us one of the fastest-growing universities in the country. Founded in 1932, we’ve been relentlessly reinventing higher education ever since and have gained national recognition for our dedication to helping students transform their lives and the lives of those around them.

We’re proud to provide affordable, accessible education that students can pursue on our 300-acre campus in Manchester, NH, over our innovative online platform or at our regional centers in Manchester, Nashua, Portsmouth and Salem, NH, and Brunswick, ME.

SNHU has earned the Best Buy and Best of Business – Best Online Degree awards and is consistently ranked as a top Military Friendly® School by G.I Jobs®.

Best Online Master’s in Statistics Programs

Statistics is also an evolving field. With the introduction of computer technology, the statistics field is going through a significant transition phase. In this computer age, data scientists create sophisticated algorithms to read and analyze the data. These fields are becoming diverse and progressing into technologies such as Big Data, Machine Learning, and Data Analytics. In the below best online master’s in statistics programs, we listed some data analytics subjects that heavily use statistical concepts. Using our custom methodology, we created a list of the best online master’s in statistics rankings below:

To Link to this page, please copy and paste this code  into your website

<a href="">Online Master's in Statistics</a>

Code copied successfully!

College Name & AddressTuitionGraduation Rate
Texas A&M University
JKW Administration Building, Suite 200, College Station, Texas 77843-1248
North Carolina State University
2101 Hillsborough Street, Raleigh, North Carolina 27695-7001
Colorado State University
102 Administration Building, Fort Collins, Colorado 80523-0100
University Of South Carolina
Columbia-Campus, Columbia, South Carolina 29208
University of Texas, Rio Grande Valley
1201 W University Dr, Edinburg, Texas 78539-2999
Southern New Hampshire University
2500 North River Road, Manchester, New Hampshire 03106
University of Illinois Chicago
601 S Morgan, Chicago, Illinois 60607
Pennsylvania State University World Campus
28 Outreach Building, University Park, Pennsylvania 16802
Oklahoma State University
107 Whitehurst, Stillwater, Oklahoma 74078-1015
Rochester Institute Of Technology
1 Lomb Memorial Dr, Rochester, New York 14623-5603
University of Houston
212 E. Cullen Building, Houston, Texas 77204
National University
11255 North Torrey Pines Road, La Jolla, California 92037-1011
Saint Louis University
One North Grand Blvd, Saint Louis, Missouri 63103-2097
University Of Maryland
College Park, Maryland 20742
Indiana University
107 South Indiana Ave., Bloomington, Indiana 47405-7000
Oregon State University
1500 SW Jefferson Avenue, Corvallis, Oregon 97331
University of Kentucky
South Limestone, Lexington, Kentucky 40506-0032
University of Idaho
875 Perimeter Drive MS 2282, Moscow, Idaho 83844-2282
Dakota State University
820 N Washington Ave, Madison, South Dakota 57042-1799
University Of Missouri
105 Jesse Hall, Columbia, Missouri 65211-1050
University of Oklahoma
2501 E Memorial Rd, Edmond, Oklahoma 73013
Harrisburg University
326 Market Street, Harrisburg, Pennsylvania 17101-2208
Arizona State University
1475 N Scottsdale Rd, Scottsdale, Arizona 85257
Northwestern University
633 Clark St, Evanston, Illinois 60208
Syracuse University
900 South Crouse Ave., Syracuse, New York 13244
University of West Florida
11000 University Parkway, Pensacola, Florida 32514-5750
American University
4400 Massachusetts Ave NW, Washington, District of Columbia 20016-8001
University of Delaware
104 Hullihen Hall, Newark, Delaware 19716

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

Understanding Online Master’s in Statistics Programs

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:


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:

SpecializationDescriptionPotential Careers
BiostatisticsFocuses on applying statistical methods to biological and health-related research.Biostatistician, Epidemiologist, Clinical Trial Analyst, and more.
Business AnalyticsEmphasizes statistical techniques for business decision-making and data-driven strategies.Data Analyst, Business Intelligence Analyst, Consultant, and more.
Environmental StatisticsConcentrates on statistical methods applied to environmental research and sustainability studies.Environmental Statistician, Climate Data Analyst, Researcher, and more.
Financial StatisticsSpecializes in statistical modeling and analysis for financial markets, risk assessment, and investment strategies.Financial Analyst, Risk Analyst, Quantitative Analyst, and more.
Machine LearningIntegrates statistical methods with machine learning algorithms for predictive modeling and pattern recognition.Machine Learning Engineer, Data Scientist, AI Specialist, and more.
Social Science StatisticsApplies statistical methods to social science research, including sociology, psychology, and political science.Social Statistician, Policy Analyst, Survey Researcher, and more.
Computational StatisticsFocuses on developing and applying computational methods for statistical analysis and data interpretation.Computational Statistician, Research Scientist, Data Engineer, and more.
Applied Bayesian AnalysisSpecializes in Bayesian statistical methods, including modeling, learning, and Markov chain Monte Carlo techniques.Bayesian Statistician, Research Scientist, Data Analyst, and more.
Statistical ConsultingEquips 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:

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:

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:

Free Statistics Courses

Free courses provide a valuable introduction to the fundamentals of statistics and can also help with deeper insights and exam preparation. Here are some free courses for master in statistics students:

CourseStatistics for Business Analytics [8]
Provided byUdemy 
DescriptionThis course delves into applying statistical methods for business analytics, emphasizing the role of statistics in data-driven decision-making. Students will acquire a comprehensive understanding of statistical techniques relevant to business contexts, enabling them to analyze and interpret data for strategic decision-making. The curriculum covers regression analysis, hypothesis testing, and data visualization, preparing graduates for impactful contributions in the business analytics domain.
CourseData Science: Machine Learning [9]
Provided byHarvard University
DescriptionThis course combines statistical principles with machine learning techniques to equip students with a versatile skill set for data science applications. Participants will learn to leverage statistical methods for exploratory data analysis, feature engineering, and model validation in the context of machine learning projects. The curriculum covers classification, clustering, and ensemble methods, empowering them to extract actionable insights from complex datasets and contribute to the evolving field of data science.
CourseAdvanced Bayesian Statistics [10]
Provided byedX
DescriptionThe Advanced Bayesian Statistics course offers an in-depth exploration of Bayesian statistical methods. Participants will gain proficiency in advanced concepts such as hierarchical modeling, Markov Chain Monte Carlo (MCMC) methods, and Bayesian model selection. The curriculum emphasizes hands-on applications and practical exercises, providing students with the skills to apply Bayesian approaches to complex statistical problems in diverse fields, including finance, healthcare, and social sciences.

How to Pay for Online Master’s in Statistics Programs

A good education from a reputable institute will surely burn a hole in the pocket. Fortunately, various options for paying for an online master’s program are available to prospective students, including:


Scholarships are widely embraced as a means for students to obtain financial support for their academic pursuits, notable for being non-repayable. However, it is crucial to remain vigilant against potential scholarship scams.


Fellowships offer another avenue for full-time students to receive support based on merit or specific projects for their higher education endeavors.


Graduate Teaching Assistantships or Graduate Research Assistantships provide opportunities for individuals to balance teaching, work, or research responsibilities alongside their academic commitments.


Grants from federal, state, or private sources cover various student expenses, including tuition, study materials, transportation, and necessary equipment.

On-campus Employment

Certain universities provide on-campus employment opportunities for students, treating them as regular employees and allowing them to earn income to cover their tuition fees partially.


Federal or private loans offer an alternative means of securing educational funds. However, it’s essential to understand that loans accrue interest and may lead to student debt if not managed responsibly.


The Free Application for Federal Student Aid (FAFSA) is a valuable resource for funding graduate studies, offering a comprehensive overview of available financial aid options.

Read the Financial Aid Guide for more information on funding higher education.

Scholarships for online master’s in statistics

Scholarships from various sources are available for students pursuing statistics master’s degrees. By availing of scholarships, they can easily pay their tuition fee and cover other expenses like living, accommodation, transport, etc. Here are some scholarships for those pursuing an online master’s in statistics:

  • Edward C. Bryant Scholarship [11]
    Edward C Bryant Scholarship is awarded to graduates for outstanding surveys in statistics. The award criteria include performance in graduate school, contribution to survey statistics, and applied experience in survey statistics.
    Award amount: $2,500
    Deadline: March, annually
  • Ellis R. Ott Scholarship [12]
    American Society for Quality, Statistics Division administers the Ellis R. Ott Scholarship award for graduate degree students in Applied Statistics or Quality Management. The award criteria include academic achievement, career objectives, demonstrated ability in the statistical field, etc.
    Award amount: $7,500
    Deadline: April, annually
  • Gertrude M. Cox Scholarship [13] 
    American Statistical Society administers the Gertrude M. Cox Award for women graduate degree students pursuing a degree in statistics. The goal of the award is to encourage women into statistically oriented professions. Two prizes are handed out each year: one for women entering the graduate program and another for women in advanced stages of training. Selection criteria include academic achievement, career objectives, demonstrated ability in the statistical field, etc.
    Award amount: $1,000
    Deadline: February, annually
  • John J. Bartko Scholarship [14]  
    The American Statistical Society administers the John J. Bartko Scholarship award for graduate degree students in Statistics or Biostatistics programs. The selection process involves applicants writing a personal essay about personal goals, the American Statistical Society conference, and real-world applications of statistics. 
    Award amount: $1,000
    Deadline: December, annually

Careers and Salary Outlook for Online Master’s in Statistics Graduates

Over the years, statistics has become one of students’ most preferred career choices.  Since this is one part of the highly required knowledge in almost all sectors and industries, the immense demand for good statisticians is no surprise.  Statistics is used in various fields, such as business, agriculture, and computer science. There are endless opportunities for a student in statistics in the private and government sectors.  Some roles graduates of statistics programs can take up include:

  • Data Scientist
  • Statistician
  • Business Intelligence Analyst
  • Actuary
  • Quantitative Analyst
  • Research Analyst
  • Operations Analyst
  • Machine Learning Engineer
  • Biostatistician
  • Financial Analyst
  • Econometrician
  • Epidemiologist
  • Market Research Analyst
  • Analytics Consultant
  • Data Engineer

Some occupations that master in statistics graduates can pursue are:

OccupationData Scientist [15] 
SkillsAnalytical, programming, statistical modeling, data interpretation, communication, and problem-solving.
Median Annual Salary$103,500
Job Growth (up to 2032)35% (much faster than average)
Job DescriptionData scientists analyze and interpret complex datasets, utilizing statistical techniques and programming skills. They extract valuable insights to inform business decisions and strategies. These professionals play a crucial role in identifying trends, patterns, and correlations within data, contributing to organizational success and innovation.
OccupationBusiness Intelligence Analyst [16]
SkillsAnalytical, data visualization, SQL, business acumen, communication, and problem-solving.
Median Annual Salary$95,290
Job Growth (up to 2032)10% (faster than average)
Job DescriptionBusiness Intelligence Analysts gather and analyze business data to provide insights and support decision-making. They create visualizations and reports, helping organizations understand market trends, customer behavior, and operational performance. These professionals play a crucial role in enhancing data-driven decision-making processes.
OccupationBiostatistician [17]
SkillsStatistical analysis, biology knowledge, research design, data interpretation, communication, and problem-solving.
Median Annual Salary$99,960
Job Growth (up to 2032)7% (faster than average)
Job DescriptionBiostatisticians apply statistical methods to biological and health-related research. They design experiments, analyze data from clinical trials, and provide statistical insights that contribute to advancements in healthcare and life sciences. These professionals play a crucial role in ensuring the validity and reliability of research findings.
OccupationActuary [18]
SkillsMathematical skills, analytical thinking, risk assessment, statistical modeling, communication, and problem-solving.
Median Annual Salary$113,990
Job Growth (up to 2032)23% (much faster than average)
Job DescriptionActuaries analyze financial risks using mathematical and statistical methods. They assess the probability of accidents, illnesses, or natural disasters, helping organizations make informed decisions about insurance, pensions, and investments. These professionals play a crucial role in financial planning and risk management.
OccupationEpidemiologist [19]
SkillsStatistical analysis, research design, data interpretation, communication, and problem-solving.
Median Annual Salary$78,520
Job Growth (up to 2032)27% (faster than average)
Job DescriptionEpidemiologists investigate the patterns and causes of diseases within populations. They design and conduct studies, analyze data, and communicate findings to public health officials. These professionals are vital in disease prevention and control, contributing to public health initiatives and policies.

Certifications and Licensing for Statistics Graduates

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.

Additional Resources for Statistics Professionals

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.

FAQs About Online Master’s in Statistics Programs

What is a Master’s in Statistics?

A Master’s in Statistics is a graduate-level program focusing on advanced statistical concepts, methodologies, and their applications. It typically includes coursework in probability, data analysis, and statistical modeling and may offer specialization options in fields like data science, biostatistics, or business analytics.

What are the potential career paths for someone with a Master’s in Statistics?

Are there online Master’s in Statistics programs available?

How does a Master’s in Statistics differ from other related degrees, such as data science or applied mathematics?

Can I pursue a Ph.D. after completing a Master’s in Statistics?

How can a Master’s in Statistics contribute to career advancement?

Can I pursue a Master’s in Statistics without a strong background in mathematics or statistics?