433 Statistics Degree Programs

This distance learning A level Maths course builds on work covered in GCSE Maths at Higher Level, so you need to be familiar with all the mathematics at this level, and your skills should be at least up to GCSE Grade B standard.

The MSc in Statistical Data Science program focuses on teaching students how to analyze large and complex datasets using modern statistical techniques and computational tools. The course covers key to...

The M.S. in Quantitative Methods in the Social Sciences at the Graduate Center prepares students from a variety of backgrounds for a data-driven future. Data analysis is driving research and decision-making in every social science field and sector. The M.S. in Quantitative Methods in the Social Sciences at the Graduate Center prepares students from a variety of backgrounds for a data-driven future.

Do you enjoy solving puzzles and working with others on intellectual challenges? Do you want to avoid boring jobs with repetitive tasks in fave of a career where you are respected as a strategic thinker and creative problem solver? Maybe you are unsure of the career you want but hope to develop a versatile and adaptable skill-set allowing you to serve a variety of industries.

Statistical Physics, together with Quantum Mechanics, is the pillar of our understanding of many physical phenomena, from the simplest to the most sophisticated. The field has recently witnessed a significant and impressive outpouring of experimental and theoretical results,

The Department of Statistical Science began offering a Ph.D. in Statistical Science in 1968. Since that time it has awarded over 185 Ph.D. degrees. The courses in the Ph.D. curriculum in Statistical Science at SMU provide our students with the strong theoretical foundation in mathematics, statistical inference, and probability needed for students pursuing a research-oriented Ph.D. degree.

Good health care decisions depend on good data. But there’s a crucial shortage of people with the right skills to make sense of statistical information. Step into that gap with a Biostatistics degree from Waterloo — the only one of its kind in Canada.

The certificate in statistical learning focuses on teaching fundamental concepts and techniques used in analyzing and interpreting data. It covers key topics such as data manipulation, statistical inf...

The Bachelor of Science in Statistical Science program offers a comprehensive curriculum designed to equip students with fundamental skills in statistical theory, data analysis, and computational meth...

Causal Inference with R – Experiments is the second course on causal inference concepts and methods created by Duke University with support from eBay, Inc. Designed to teach you about concepts, methods, and how to code in R with realistic data, this course focuses on experiment design, working with data from controlled and natural experiments, and dealing with noncompliance.

Use your understanding of mathematical concepts to solve complex problems in engineering, medicine, business, and science, from the behaviour of ocean waves to the structure of space-time.In Applied Mathematics, you’ll deepen your knowledge of calculus and differential equations: the foundation for most mathematical models. You’ll have lots of opportunity to put those tools to work on real-life problems — in the classroom and, if you choose co-op, during your work terms.

The Manuela Beltrán University presents the Master's program in Biostatistics, which arises to support different research processes thanks to training in the use and application of different statistical techniques and methodologies in biological, epidemiological, and Health Sciences contexts; in sectors such as Health Sciences, Psychology, Exact Sciences, Engineering, and different related areas. The emergence of this program, congruently, responds to the dizzying growth of research in all these areas, which has led to experts, academics, and professionals in real sectors of each area, who in addition to having solid disciplinary knowledge and skills of the professional world, access training complements at the in-depth level related to statistical modeling and sophisticated forecasting techniques.

Causal Inference with R – Experiments is the fifth course on causal inference concepts and methods created by Duke University with support from eBay, Inc. Designed to teach you causal inference concepts, methods, and how to code in R with realistic data, this course focuses on how to use the advanced methods of instrumental variables and regression discontinuity to find causal effects. We will give you the reasoning be behind the methods, how you need to argue their validity, and what they look like in practice.