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Best Statistics Masters Programs in World
With a graduate degree, statisticians may find jobs working with data in many sectors, including business, government, academia, public health, technology and other science fields. These are the best schools for statistics. Each school’s score reflects its average rating on a scale from 1 (marginal) to 5 (outstanding), based on a survey of academics at peer institutions.
Statistics is the study of data and the understanding of how data can reveal information about a subject, organization, or even the world. It’s little wonder that so many people with mathematically-oriented minds are drawn to statistics as a subject and may choose to claim it as a major during their higher education. Earning a bachelor’s degree in statistics gives you a thorough understanding of data analysis and can help you make sense of large data sets. But a master’s in statistics degree evolves your understanding even further and allows you to see and analyze data in much more detailed ways.
Statisticians can use their skills in a variety of situations. They can use them to develop experiments, describe the trends or tendencies of populations with different environmental pressures, predict the outcomes of political elections, and even explain the flow of the stock market. In a way, understanding statistics lets you understand the underlying “magic” of math, and grasp the connections between numbers like few others can.
Master’s in statistics degrees dive deeper into the specifics of the subject than a bachelor’s degree of the same major does. These degrees can normally be completed within two years but may also be completed within five years if taken on a part-time schedule. Program focuses can vary by school, but many master’s in statistics programs also include concentrations or emphases with which you can specialize your skills.
For instance, biostatistics is both a common graduate degree major and a concentration that statistics majors can select in many programs. Biostatistics involves the study and understanding of data sets in relation to medicine, biology, and large populations. This concentration is a great choice if you’re interested in understanding epidemiology, the healthcare system, or acting as an advisor to a pharmaceutical company.
This single concentration is just one example of the many pathways that a master’s degree in statistics offers you. Statistics is one of the most versatile and useful mathematical skills you can have, as many industries rely on statistical analysis to make large-scale decisions. Finance, stock trading, manufacturing, agriculture, and more all use statistics—and the experts that understand them—to chart courses for the future and understand the past. While it’s more mathematically focused than pure economics, statistics is arguably a more valuable major due to its emphasis on concrete data and raw numbers.
Master’s in statistics programs will normally include several key areas of study, including several analytical disciplines like the analysis of discrete data or multivariate analysis. Other topics and classes may include analysis of genomic data, sampling theories and various comprehension methods, and applied time series analysis.
Statistics Degree Program
Applied statistics degrees are a mix of foundational theory and elective topics. In addition to exploring problems of statistical design, analysis and control, you’ll often be required to complete a practicum or capstone project. Degrees usually take one to two years to complete.
Typical courses include:
- Mathematical statistics
- Statistical methods
- Advanced SAS programming
- Data mining
- Predictive analytics
- Applied data analysis
Admission requirements vary from school to school. Although a degree in statistics or mathematics is not always required, candidates are expected to have a relevant bachelor’s degree, knowledge of computer programming and coursework in calculus, linear algebra, probability theory, and statistics.
Top 5 Master’s Programs in Statistics and Data Analytics Online
1. Texas A&M University
MS in Statistics
Texas A&M University leads the pack with its MS in Statistics program. Considered the best value offering, it is also renowned for its quality curriculum. The 36-credit hour course is flexibly designed to let students customize the program according to their needs. This competitive program offers robust career support services among online programs and awards the same degree to on-campus and online students. Core areas of concentration include regression analysis, multivariate statistical methods, and survey sampling.
2. Pennsylvania State University World Campus
State College, PA
Online Master’s in Applied Statistics
The online professional Master of Applied Statistics degree from Penn State is growing popular. There is a rising demand for trained statisticians as industries grow attuned to predictive data and numerical reasoning. The program is offered via a partnership between Penn State World Campus and Penn State’s Eberly College of Science. Students and professionals who are seeking to advance their careers in data analytics and related areas can benefit from this. The expertly designed curriculum covers a wide range of statistical application areas like data mining, predictive analytics, biostatistics techniques and statistical consulting. The online degree mirrors the highly regarded resident program and is taught using industry-standard software like SAS, R, and Minitab. The 30-credit hour course is taught by the same faculty and prepares students to excel in any field, including education, science, technology, healthcare, government, or business.
Tuition per credit: $853
3. North Carolina State University
Online Master’s in Statistics
North Carolina State University offers an accredited online Masters in Statistics program. Highly affordable, the program provides busy students with flexible courses and learning options. This helps them balance their education and career needs. All classes are held online. The 30-credit hour course includes an introduction to statistical learning, statistical principles of clinical trials and epidemiology, statistical methods, linear models, and statistical programming in SAS.
Graduate Tuition/Fees: $10,224
4. Arizona State University
Online Master’s in Business Analytics
The W.P. Carey School of Business at Arizona State University offers one of the top-ranked and most affordable online master’s in business analytics. Students who are interested in statistics and business analytics will benefit from this course. Delivered entirely online, ASU’s master’s in statistics online degree program takes about 16 months to complete. But it has flexible learning options, and busy students and professionals may work at their own pace. The 30-credit hour course includes an introduction to applied analytics, business analytics strategy, analytical decision-making tools, data-driven quality management, and marketing analytics.
Tuition per credit: $1313
5. Rochester Institute of Technology
Applied Statistics MS degree
The MS program in applied statistics from Rochester Institute of Technology is a prestigious program. It is available for regular and online students and includes four core courses, electives, and a capstone or thesis. The core courses include Statistical Software, Regression Analysis, Fundamentals of Statistical Theory, and Foundations of Experimental Design. The key areas of concentration are Predictive Analytics, Data Mining/Machine Learning, Industrial and Clinical Statistics. This versatile 30-credit hour course prepares students for a wide range of career fields with exciting internship options.
Postgraduate Degree in Statistics
Studying statistics at university is likely to be challenging, requiring mastery of complex skills and advanced data collection and analysis methods. Yet the basic principles underlying the subject are actually fairly simple: collect data, organize it, analyze it, and deliver an interpretation. The resulting information is used to influence major decisions in a wide range of sectors, from politics to pharmaceuticals, and from advertising to insurance.
Commonly taught within university mathematics departments, statistics is in many ways an offshoot of the mathematical field of probability – and a strong background in mathematics is essential for anyone considering applying for a statistics degree. However, studying statistics will also often entail some overlap with social sciences subjects such as economics, sociology, accounting and finance – all fields in which statistical methods play a key role.
What do statistics degrees cover?
At undergraduate level, statistics degrees are likely to cover a wide variety of topics. First, you will study probability and introductory statistical methods, introducing the ideas of likelihood and regression modelling. Other statistics topics which may be covered include experimental design, inference, computational inference, sampling and databases, biostatistics, environmental statistics and financial statistics. Throughout the course, you will gain experience in working as part of a team, and learn how to use specialized computer software.
Entry requirements for statistics degrees
If applying to study statistics, you will be required to have very strong academic background in mathematics. Most universities offering statistics degrees require excellent grades in mathematics and at least one more science. Apart from that, it may be an advantage if you have good knowledge in using various types of computer software, and some ideas about potential statistics careers you’d be interested in. If you plan on studying abroad, you may also need to present a certificate of language proficiency.
Course structure and assessment methods
At bachelor’s level, statistics degrees usually last for three or four years, depending on the country, while a master’s degree lasts for one or two years. The course is typically taught through a combination of lectures and seminars. Students will also engage in various projects and research, either working as small teams or independently. Tasks may include delivering presentations and writing up different types of coursework. Assessment is usually based on written and/or oral exams, coursework and projects.
Common skills gained from a statistics degree include:
- Research and data collection
- Data analysis and evaluation
- Clear presentation of findings
- General IT skills
- Very high-level numeracy
- Self-management, including planning and meeting deadlines
- Ability to approach issues from multiple perspectives
- Application of theory to real-life situations
MSc Statistics / Entry requirements
Academic entry qualification overview
You are expected to have a first degree with a substantial amount of mathematics including Probability and Statistics. As a minimum you should have done Calculus or Mathematical Analysis, Linear Algebra, two courses in Probability and two courses in Statistics. A Mathematical Statistics course may count as one Probability and one Statistics course depending on the syllabus. If your course is called Advanced Mathematics, then we need to know how much calculus/linear algebra it contains. You can have a look at what Manchester students do in the first two years, or refer to the following list for a quick summary.
- Calculus or Mathematical Analysis (functions of a single and several variables, continuity, derivatives, integrals, Mean Value Theorem, Taylor series expansion, minimisation and maximisation, Lagrange multipliers)
- Linear Algebra (linear independence, determinant, inverse, eigenvalues and eigenvectors)
- Probability I (probabilities and conditional probabilities, Bayes Theorem, moments)
- Probability II (multivariate and conditional distributions, generating functions, Law of Large Numbers and Central Limit Theorem)
- Statistics I (descriptive statistics, normal, t, chi-square and F distributions, significance tests)
- Statistics II (Maximum likelihood estimation, Likelihood ratio tests, simple regression and analysis of variance).
You are expected to have done well in the above courses and your university should have a high national standing.
All applicants will need to demonstrate competency in English language. Applicants who do not already possess an acceptable English Language qualification will need to take a recognised test and attain the required English Language score:
- IELTS: at least 6.5 overall with 6.5 in writing and no other sub-test less than 6.0.
- TOEFL iBT: at least 90 overall with 22 or above in writing and no other sub-test less than 20. We do not accept ‘MyBestScore’.
- Pearson PTE: at least 58 overall with 58 in writing and no other sub-test less than 50.
Further information on language requirements can be found on our website .
If you require a student visa and choose to sit Pearson PTE, an overall score of 59 with no less than 59 in each component would be required.
We will consider applicants who do not meet these scores but you may be required to complete a pre-sessional English language course at the University of Manchester prior to the start of the course.
To be considered for a pre-sessional English language course for this programme we require the following minimum IELTS (Academic) scores:
- 6 Week Pre-Sessional Course: Minimum 6.0 overall with 6.0 in three sub-tests including writing and at least 5.5 in the remaining sub-test.
- 10 Week Pre-sessional Course: Minimum 5.5 overall with no sub-test below 5.5.
If you have not yet completed your current academic study and are interested in studying a pre-sessional course, you must hold an IELTS for UKVI (Academic) test certificate.
English language test validity
Some English Language test results are only valid for two years. Your English Language test report must be valid on the start date of the course.
Other International Entry Requirements
We accept a range of qualifications from different countries. For these and general requirements including English language see entry requirements from your country .