Online Master's Degree in Applied Statistics (2022)

Online Master's Degree in Applied Statistics (1)

Kirsten Eilertson – Associate Professor and Director of MAS
  • B.A., Math, St. Olaf College
  • Ph.D., Statistics, Cornell University

Kirsten Eilertson is an applied statistician and splits her time between collaborative research, consulting, and teaching. As an applied statistician, she has worked with scientists in a variety of fields from evolutionary biology, behavioral neuroscience, biomechanics, functional genomics, and most recently quantitative epidemiology. Her research involves the application of statistical modeling to address specific challenges. Eilertson is a member of the Vaccine Impact Modelling Consortium. Her work has contributed to the development of a novel state-space model for estimating measles disease burden at the country level. The primary aim of this work is to improve understanding of the impact on public health measures.

Online Master's Degree in Applied Statistics (2)

Jay Breidt – Professor
  • Ph.D., Statistics, Colorado State University
  • M.S., Statistics, Colorado State University
  • B.A., Mathematics and English Literature, The College of Idaho

Jay Breidt has expertise in survey sampling, time series, nonparametric regression, and uncertainty quantification for complex scientific models. He has an extensive record of refereed publications and has presented over 130 invited short courses, conference talks, and academic seminars. Since 1991, his research has been supported continuously by a variety of agencies including the National Science Foundation, National Institutes of Health, Department of Homeland Security, EPA, US Forest Service, and NASA. Breidt is the Reviews Editor for the Journal of the American Statistical Association and The American Statistician. He serves on the U.S. Bureau of the Census Scientific Advisory Committee and has served on six review committees for the National Academy of Sciences. Breidt has received numerous honors, including recognition with a national prize in environmental statistics, elected membership in the International Statistical Institute, and elected fellowship in the American Statistical Association and the Institute of Mathematical Statistics.

(Video) Online Master's in Statistics - Jay Breidt- Colorado State University

Online Master's Degree in Applied Statistics (3)

Daniel Cooley – Professor
  • Ph.D., Applied Mathematics, University of Colorado
  • M.S., Applied Mathematics, University of Colorado
  • B.A., Mathematics, University of Colorado

Cooley’s research is primarily in extreme value analysis, which aims to characterize the tail of the distribution. Specifically, his research has focused on describing and modeling extremal dependence both in the multivariate and spatial cases. Much of his research is motivated by quantifying risk associated with extreme weather events and Cooley has collaborated with atmospheric scientists at institutions such as the National Center for Atmospheric Research and the Berkeley National Labs.

Online Master's Degree in Applied Statistics (4)

Bailey Fosdick – Assistant Professor
  • Postdoctoral Fellow, Statistical and Applied Mathematical Sciences Institute
  • Ph.D., Statistics, University of Washington
  • B.S., Mathematics, Colorado State University

Dr. Fosdick's primary research interests lie in the development of statistical methods for analyzing network data, with particular attention to applications in ecology and the social sciences. She also studies covariance models for multiway data, Bayesian statistics, and methods for survey analysis.

Online Master's Degree in Applied Statistics (5)

Jennifer Hoeting – Professor
  • Ph.D., Statistics, University of Washington
  • M.S., Statistics, University of Washington
  • B.S., Statistics and Psychology, University of Michigan

Hoeting's research is focused in the areas of Bayesian statistics, spatial statistics, and model selection and uncertainty. Much of her research is aimed at developing new statistical methods to address problems in ecology. Hoeting is the founding editor of the journal Advances in Statistical Climatology, Meteorology and Oceanography (ASCMO). Hoeting's book, Computational Statistics (co-authored by Geof Givens), has been adopted as a textbook at top universities in the US and in over 25 other countries. Hoeting has been advisor to more than 30 Ph.D. and M.S. students. Hoeting is an elected Fellow of the American Statistical Association (ASA) and received the Distinguished Achievement Medal from the ASA’s Section on Statistics and the Environment. In 2015, she was named Professor Laureate of the College of Natural Sciences at Colorado State University.

(Video) MS in Applied Statistics and Decision-Making

Online Master's Degree in Applied Statistics (6)

Piotr Kokoszka – Professor

Kokoszka’s research is concerned with statistical modeling and inference. Areas of current interest include: functional data analysis, time series and extreme value theory. Kokoszka serves on several editorial boards, including Journal of the American Statistical Association, Journal of Multivariate Analysis, Scandinavian Journal of Statistics, and Journal of Time Series Analysis. He is a fellow of the Institute of Mathematical Statistics.

Online Master's Degree in Applied Statistics (7)

Mary Meyer – Professor
  • Ph.D., Statistics, University of Michigan

Meyer’s main area of research is estimation and inference in statistical models with inequality constraints. This includes non-parametric function estimation using constrained regression splines, density and hazard function estimation with shape constraints, models with order restrictions. Meyer has been published in STATISTICAL SCIENCE, the Journal of the Royal Statistical Society, and the Canadian Journal of Statistics.

Online Master's Degree in Applied Statistics (8)

Aaron Nielsen – Assistant Professor
  • Ph.D., Applied Mathematics, University of Colorado - Denver
  • M.S., Statistics, Colorado State University
  • M.S., Electrical Engineering, University of Colorado - Boulder

Nielsen currently serves as an assistant professor in CSU’s Department of Statistics, specializing in statistics education. He has instructed STAT 201, 204, 301, 315, 460, 472, and 581A4 and STAA 574, in addition to several Math and Stat courses at the University of Colorado.

(Video) Online Statistics Master's Degree - Student Story: Tracy W.

Online Master's Degree in Applied Statistics (9)

Ben Shaby – Associate Professor
  • Ph.D., Statistics, Cornell University
  • B.S., Mathematical and Computational Science, Stanford University
  • A.B., English, Stanford University

Shaby develops statistical theory and methods to study extreme weather events and high-throughput biological experiments. He works with climate scientists, hydrologists, and wildfire scientists in academia and government to understand and mitigate the risks associated with rare, high-impact events. Shaby was the recipient of a National Science Foundation CAREER award in 2018 and the American Statistical Association Section on Statistics and the Environment's Early Career Investigator Award in 2016. He completed his Ph.D. at Cornell University in 2009 and held postdoctoral appointments at Duke University and UC Berkeley.

Ben Sharp – Assistant Professor

Online Master's Degree in Applied Statistics (10)

Julia Sharp – Associate Professor
  • Ph.D., Statistics, Montana State University
  • M.S., Statistics, Montana State University
  • B.S., Mathematics, University of Evansville

Dr. Sharp is an applied statistician with extensive collaborative experience across multiple domains. Her statistics research arises from collaborative projects and includes experimental design, generalized linear mixed models, and categorical data analysis.

Online Master's Degree in Applied Statistics (11)

Haonan Wang – Professor
  • B.S., Nankai University
  • Ph.D., University of North Carolina - Chapel Hill

Wang’s research includes object-oriented data analysis, functional dynamic modeling, and spatial statistics. His primary research centers on developing new mathematical and statistical methods to solve problems from various scientific research fields. Object oriented data, such as tree-structured data, random graphs, manifold data, and curve data, are frequently collected. In object-oriented data analysis, many problems were motivated by data from neuro-image, which can be represented by a set of tree-structured objects. The fundamental properties of the topological structures were studied. Wang is particularly interested in the problem of modeling tree-structured data to explain the relationship between tree-structured covariates and numerical response, and/or between numerical covariates and tree-structured response. Recently, his research interest centers on the development of novel statistical learning tools for analyzing big data collected from various networks.

(Video) Is An Online Master’s Degree Worth The Money?

Online Master's Degree in Applied Statistics (12)

Zach Weller – Assistant Professor
  • Ph.D., Statistics, Colorado State University
  • B.A., Mathematics, Concordia College (MN)

Weller works as a statistical consultant in the Graybill Statistics Laboratory. He is broadly interested in applied statistics for solving problems in and related to ecology, environmental health, energy, biology, wildlife management, animal science, and the environment. Weller is also interested in scientific communication, the intersection of science and policy, and statistics education.

Online Master's Degree in Applied Statistics (13)

Ander Wilson – Assistant Professor
  • Postdoctoral Fellowship, Biostatistics, Harvard T. H. Chan School of Public Health
  • Ph.D., Statistics, North Carolina State University
  • B.A., Mathematics, University of Vermont

Dr. Wilson's research focuses on the development of statistical methodology for the analysis of complex environmental health data with the motivation of better understanding how exposure to air pollution and environmental chemicals influences human health.

Online Master's Degree in Applied Statistics (14)

Wen Zhou – Assistant Professor
  • Ph.D. in Statistics, Iowa State University
  • Ph.D. in Applied Mathematics, Iowa State University

Dr. Zhou's primary research interests focus on high dimensional inference and statistical machine learning, with particular applications to genomics, genetics, integrative analysis of omics type data, and structural biology. He also pursue researches on graphical modeling, system biology, optimization, and game theory.

(Video) Online Statistics Master's Degree - Student Story: Ed F.

FAQs

Can I get a degree in statistics online? ›

The best colleges where you can get an online Bachelor's Degree in Statistics are Southern New Hampshire University (SNHU), Bellevue University, and the University of Massachusetts.

What is the difference between MSc statistics and MSc applied statistics? ›

Statistics is concerned about statistical problems, while applied statistics about using statistics for solving other problems.

What applied statistics degree? ›

Applied Statistics includes planning for the collection of data, managing data, analyzing, interpreting and drawing conclusions from data, and identifying problems, solutions and opportunities using the analysis. This major builds critical thinking and problem solving skills in data analysis and empirical research.

Can I do MSc in statistics? ›

To pursue MSc in Statistics., the candidate must have a BSc degree in Statistics or Mathematics or any equivalent degree in Statistics with Computer Applications. Certain universities would also have a cutoff percentage for students to be eligible to apply.

What is MS in statistics? ›

Master of Science in Statistics

The Master of Science (MS) degree in Statistics provides advanced training in mathematical and applied statistics, exposure to statistics in a consulting or collaborative research environment and specialized coursework in a number of areas of emphasis.

What is a bachelor's degree in statistics? ›

The undergraduate program in Statistics provides students with fundamental knowledge and skills related to probability, mathematical statistics, data analysis, and statistical computing. With the recent rise of Big Data, Data Science, and Analytics, the demand for this set of skills has increased substantially.

How difficult is applied statistics? ›

Statistics has gotten a reputation for being a very hard class, especially when taken in college, because it combines math concepts in order to form an analysis of a data set that can be used to understand an association in the data (whoo that was a mouthful).

Which is better statistics or applied statistics? ›

Pure statistics focuses primarily on the numbers, math, and problems themselves. Applied statistics on the other hand, can be thought of as “statistics-in-action” or using statistics with an eye toward real-world problems and what their solutions might be. Statistics alone can be used pragmatically.

Is applied statistics a good degree? ›

As the top-ranked job in U.S. News & World Report's “Best Business Jobs” category, statisticians are in high demand—and the Master of Science in Applied Statistics and Analytics is regarded as one of the most versatile degrees a school can offer.

Where can I work with a degree in applied statistics? ›

Applied Statistics and Analytics Careers
  • Statistician/applied statistician.
  • Biostatistician.
  • Statistical epidemiologist.
  • Data scientist.
  • Sports analyst.

How much can you make with a masters in statistics? ›

Master of Science (MS), Statistics Jobs by Salary
Job TitleRangeAverage
Senior Data ScientistRange:$95k - $154kAverage:$124,757
StatisticianRange:$53k - $107kAverage:$77,056
Senior Data AnalystRange:$66k - $102kAverage:$81,862
BiostatisticianRange:$63k - $114kAverage:$82,865
3 more rows

Who are the users of applied statistics? ›

Users of statistics -- researchers, government agencies like the Census Bureau and the Bureau of Labor Statistics, companies like the automakers and drug industry, etc. -- make extensive use of the computer in applying statistical methods to their problems.

Is a master in Statistics worth it? ›

Per PayScale, the average annual salary for those with a Master of Science in Statistics is $80,000. This average alone could certainly make obtaining a master's in statistics worth it. That median is $20,000 higher than that for individuals holding a bachelor's in statistics.

Who is eligible for MSc Statistics? ›

The minimum eligibility for admission to this course is the completion of BSc in Mathematics/Statistics, or graduation in a related discipline from a recognized university. Full Form: Master of Science in Statistics. Duration: 2 Years. Eligibility: BSc Statistics with minimum 60% marks.

Who can do masters in Statistics? ›

MA Statistics is a 2-year full-time PG level course offering advance study in theory, research, methods and application of statistics and allied fields. The minimum eligibility is a graduation degree from a recognized university with a minimum aggregate score of 50%.

Is Statistics grad school hard? ›

Though many incoming statistics students are confident and have had great academic success in the past, graduate school in statistics is generally much more challenging than undergraduate school. The best advice we can give is to work hard and consistently.

How long does a masters in Statistics take? ›

Full-time students should complete the master's program in two years. This very affordable graduate program includes tuition benefits for students with notable academic advancement as well as teaching and research assistantships (see Cost of Attendance and Financial Aid ).

How long is a Statistics Masters program? ›

The Master of Science degree in Satistics or Applied Statistics usually takes two years.

Is statistics a math or a science? ›

Statistics is the science concerned with developing and studying methods for collecting, analyzing, interpreting and presenting empirical data.

How much do statisticians make? ›

Statistician salary in India ranges between ₹ 1.6 Lakhs to ₹ 17.4 Lakhs with an average annual salary of ₹ 4.0 Lakhs. Salary estimates are based on 177 salaries received from Statisticians.

What is the difference between data science and statistics? ›

Data science involves the collection, organization, analysis and visualization of large amounts of data. Statisticians, meanwhile, use mathematical models to quantify relationships between variables and outcomes and make predictions based on those relationships.

Which is harder calculus or statistics? ›

Statistics does tend to be harder than calculus, especially at the advanced levels. If you take a beginning statistics course, there will be very simple concepts that are rather easy to work out and solve.

What math is needed for statistics? ›

Calculus teaches problem-solving and develops numerical competency, both skills that are important for statistics. In addition to this, a knowledge of calculus is necessary to prove results in statistics.

Which is better statistics or mathematics? ›

Statistics is strictly related to physical data and its interpretation, hence it has limited scope. Mathematics, however also deals with abstract concepts which may be metaphysical in nature. Hence, Mathematics has a much wider scope as compared to Statistics.

Can I be a data scientist with a masters in statistics? ›

While earning a Master's in Data Science can lead professionals to hold what Harvard Business Review is calling “The Sexiest Job of the 21st Century,” the role of a data scientist can also be filled by professionals with a Master's in Applied Statistics.

Which is better msc in statistics or data science? ›

The master's in data science prepares students to make accurate predictions and decisions based on the validity of acquired data, whereas the master's in statistics teaches students to comprehend data correlations and associations through the application of statistical theorems.

What are the 5 application of statistics? ›

Today we can find applied statistics in various fields such as medicine, information technology, engineering, finance, marketing, accounting, business, etc.

Are statisticians in high demand? ›

Overall employment of mathematicians and statisticians is projected to grow 31 percent from 2021 to 2031, much faster than the average for all occupations.

Are statistics majors in demand? ›

ALEXANDRIA, VA, OCTOBER 1, 2015 – Statistics is one of the fastest-growing degrees in the U.S., but the growth may not be enough to satisfy the high demand for statisticians in technology, consumer products, health care, government, manufacturing and other areas of the economy, an analysis conducted by the American ...

What are the govt jobs after MSc statistics? ›

Government jobs after doing MSc in Statistics,
  • Data Analyst.
  • Data Interpreters.
  • Statisticians.
  • Agricultural research.
  • Biometrician.
  • Econometrician.
  • Biostatistician.
  • Banks.
30 Jun 2011

How do you study statistics? ›

Study Tips for the Student of Basic Statistics
  1. Use distributive practice rather than massed practice. ...
  2. Study in triads or quads of students at least once every week. ...
  3. Don't try to memorize formulas (A good instructor will never ask you to do this). ...
  4. Work as many and varied problems and exercises as you possibly can.

What is a statistics course? ›

Course Description

Topics discussed include displaying and describing data, the normal curve, regression, probability, statistical inference, confidence intervals, and hypothesis tests with applications in the real world. Students also have the opportunity to analyze data sets using technology.

What is a level statistics? ›

Statistics A-Level is a subject relating to the collection, analysis, interpretation or explanation and presentation of data. This branch of Mathematics is used in situations involving variability or uncertainty, such as weather forecasting, finance or assessing the effects of medicines.

Can we do MSC statistics in distance education? ›

STATISTICS IN DISTANCE EDUCATION Admission 2022, Syllabus, Eligibility, Duration.
...
M.SC. STATISTICS IN DISTANCE EDUCATION: Course Highlights.
Program Full NameMASTER OF SCIENCE STATISTICS IN DISTANCE EDUCATION
Program LevelDegree
Duration of the Program2 Years
Examination TypeYear
EligibilityGraduation
2 more rows

Is statistics harder than math? ›

Statistics stands out as being the more difficult type of math mostly because of the abstract concepts and ideas that you will get to later on in your study. You will find that when you start to actually try and understand what is going on in a statistics equation or problem, the concepts are very complicated.

Is a statistics degree hard? ›

Statistics has gotten a reputation for being a very hard class, especially when taken in college, because it combines math concepts in order to form an analysis of a data set that can be used to understand an association in the data (whoo that was a mouthful).

What math is needed for statistics? ›

Calculus teaches problem-solving and develops numerical competency, both skills that are important for statistics. In addition to this, a knowledge of calculus is necessary to prove results in statistics.

Is statistics a level useful? ›

Statisticians are in demand in all sectors of society ranging from medical research and healthcare to government, business, and industry. Statistics A Level would be particularly useful to support degrees in medicine, biology, psychology, sociology and geography.

What are factors and levels in statistics? ›

Factor: a categorical explanatory variable. Levels: values of a factor. • Treatment: a particular combination of values for the factors.

How do you read a level statistics? ›

Revise the ENTIRE A-Level Statistics course in 15 minutes! A ... - YouTube

Who can do masters in Statistics? ›

MA Statistics is a 2-year full-time PG level course offering advance study in theory, research, methods and application of statistics and allied fields. The minimum eligibility is a graduation degree from a recognized university with a minimum aggregate score of 50%.

What are the subjects in MSc Statistics? ›

M.Sc Statistics Course Subjects
  • Distribution Theory.
  • Measure Theory and Probability.
  • Matrix Algebra and Numerical Analysis.
  • Computer Programming.
  • Ancillary Mathematics.
  • Inference.
  • Linear Models and Regression Analysis.
  • Design of Experiments.
19 Oct 2021

Can I do MSc Statistics after BA economics? ›

Sorry, it is not possible to study M.Sc in Statistics after B.Sc Economics graduation. The eligibility to study the course is Bachelor's degree in Statistics or Mathematics with Statistics as an allied subject with a minimum of 55% marks from any recognized university.

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