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660 Full-time Master's degrees in Statistics
Applied Statistics and Data Science
The M.Sc. in Applied Statistics and Data Science at Azusa Pacific University equips students with the skills to analyse data and inform decision-making. This programme is designed for a duration of 32 units and can be pursued both on-campus and online, providing flexibility for various learning preferences.
Pharmaceutical Statistics
The M.Sc. in Pharmaceutical Statistics at Columbia University is a specialised public programme designed for professionals in the drug development sector. This rigorous course focuses on quantitative methods and regulatory environments. Students typically complete the degree over two years of full-time or part-time study.
Statistics
The Statistics programme at the University of Victoria is a comprehensive M.A. degree delivered on-campus. This full-time course typically lasts two years and offers an optional co-op mode. Students engage in advanced research and high-level statistical thinking within a public university setting in British Columbia.
Professional Master of Science
The Professional Master of Science from Baylor University provides a balance between statistical theory and applications of statistical methods.
Measurement, Evaluation and Statistics - Applied Statistics
The M.Sc. in Measurement, Evaluation and Statistics - Applied Statistics at Columbia University is a public programme designed for completion in one year. This full-time or part-time course provides expert training in data science and research methods, preparing students for professional roles in diverse applied settings.
Statistics
Statistics as a field of study is concerned with the collection, analysis and interpretation of numerical data. The main emphasis of this Master`s degree in Statistics offered at University of Otago is on the role of random variation in observations that are made, which is why statistical theory is built on the concepts of probability.
Mathematical Statistics and Machine Learning
The Mathematical Statistics and Machine Learning program at Stockholm University offers you a broad platform, with courses in classical mathematical statistics and more recent courses in statistical learning, and with vast opportunities to specialise and form a unique profile.
Statistics- Applied Statistics
The M.Sc. in Statistics- Applied Statistics at the University of Southern Maine is a 30-credit postgraduate programme delivered in person. This public study mode course offers flexible day and evening classes, allowing students to complete their degree over two to four years while mastering advanced statistical software.
Computing Science - Statistical Machine Learning
The Computing Science - Statistical Machine Learning programme at the University of Alberta is a specialised master level course delivered in a public study mode. This rigorous academic track focuses on the intersection of data science and algorithmic theory, providing students with advanced technical expertise over its duration.
Statistics and Data Science
The Master of Science in Statistics and Data Science (M.Sc.) at the University of Central Florida is designed to equip students with a robust foundation in statistical theory and methods. This programme typically spans a minimum of 36 credit hours and is available in a full-time format, catering to those with a background in mathematics, statistics, or computer science.
Statistics
You'll tailor the Statistics master's degree at California State University Northridge to your interests. Whether you select a path in pure mathematics or applied mathematics, or pursue our new option in statistics, you'll graduate with the tools to excel in the field.
Statistical Data Analysis
Statistical Data Analysis from Australian National University will provide you with a rigorous training in core statistical application and theory.
Master of Applied Statistics and Data Science
The M.Sc. Master of Applied Statistics and Data Science at University of California, Los Angeles (UCLA) is a professional programme designed for working experts. Delivered through in-person evening sessions, this public study mode degree provides advanced quantitative training over a flexible two-year duration.
Survey and Data Science
The Master of Science in Survey and Data Science from the University of Maryland is a comprehensive programme designed to equip students with essential skills in data analysis and survey methodology. This degree typically spans two years and offers both full-time and part-time attendance options, catering to diverse learning needs and schedules.
Statistics
The Statistics program at King's College London enables graduates and professionals with a strong mathematical background to research, develop and apply modern statistical modelling techniques to a range of practical settings.
Applied Statistics (Online)
The Applied Statistics (Online) program offered by Liberty University studies the theoretical framework and methodologies that provide businesses with the real data they need to satisfy customers, assist their employees, and improve the lives of others.
Mathematics and Statistics
The Mathematics and Statistics programme at York University is a comprehensive Master level course delivered in a public study mode. This advanced curriculum offers students the choice between an MA or MSc pathway, typically spanning three to six terms of full-time study focused on research, theory, and practical application.
Statistics
A graduate degree in Statistics from Rice University can take you many places — from the most prestigious medical research institutions to the high stakes world of financial and energy companies; to government research labs or technology firms.
Mathematics (Mathematical Statistics)
Mathematics (Mathematical Statistics) from University of Cambridge course, commonly referred to as Part III, is a nine-month taught masters course in mathematics.
Statistics
The goal of the master's degree program in Statistics from Michigan State University is to provide students with a sound foundation in probability, mathematical statistics, and statistical methodology. The student may emphasize either theoretical or applied material.