433 Statistics Degree Programs

PO1. Critical Thinking: Apply critical thinking and enhance learning in the three major subjects of their choice with scientific reasoning and analytical skills. PO2. Problem solving: Think logically and organize task into a structured form for problem solving by applying the knowledge of basic science. PO3. Effective communication: To develop the ability of effective communication of scientific information in written and oral format. PO4. Individual and team work: Function effectively as an individual and as a member or leader in diverse teams and in multi-disciplinary settings. PO5. Ethics: Apply ethical, moral and social values in personal and professional life leading to holistic development of the individual. PO6. Environment and sustainability: Develop interdisciplinary approach to provide better solution and innovative ideas for sustainable development and conservation of natural resources. PO7. Self-directed and lifelong learning: Recognize the need for and have the ability to engage in independent, lifelong learning and adapt to technological changes to be globally competent.

Why do we think, feel and behave the way we do? Psychology is central to our understanding of human behaviour, from our biological foundations to our social processes. This program provides learning opportunities and research experience in many fields within psychology including cognition, abnormal psychology, statistics, gender and sexuality, health, human development, law, and sensation and perception. A psychology degree leads to limitless career paths by equipping you with in-demand transferable skills that prepare you for success across many fields.

The 21st Century has brought new challenges in the analysis of data, and it is increasingly apparent that solutions to these are both statistical and computational. This has led to a great demand for people both in industry and in research who are able to draw upon the mathematics of both computation and probability to make sense of the large amounts of data that are collected in order to solve major problems. It has become accepted in today’s world that in order to learn about something, you must first collect data.

The program focuses on how to draw smart conclusions from a large amount of data to make well-informed decisions. In today's society, data is generated with great variety, in enormous amounts and at high speed. This data is becoming increasingly complex. We are constantly connected with computers and smartphones, we are surrounded by cameras and sensors that monitor and measure.

The Master in Computational Mathematical and Statistical Sciences program offers a comprehensive curriculum designed to prepare students for advanced roles in data analysis, mathematical modeling, and...

The Graduate Certificate in Statistical Programming offers a solid foundation in using programming tools for data analysis. It covers essential skills such as coding in languages like R and Python, ha...

The aim of the Ph.D. Course in Mathematical Analysis, Modelling, and Applications is to educate graduate students in the fields of mathematical analysis and mathematical modeling, and in the applications of mathematical and numerical analysis to science and technology.

Students who complete the PhD program will gain knowledge in probability, statistical inference, and hypothesis testing, the design and conduct of experimental and epidemiological studies, statistical computation, and data analysis.

The main goal of this learning module is to discuss phase transitions and critical phenomena in statistical physics. We introduce the ideas of mean-field theory and renormalization group and exploit them to calculate the critical exponents for the Ising model. More advanced topics concern the models with continuous symmetry, topological phase transitions, as well as Monte Carlo simulations.

This program is designed to provide the student with competency in the major areas of statistical and mathematical application, working knowledge of mathematical and/or statistical software, and sufficient theoretical background to serve as a foundation for continued professional development.

MA program in Biostatistics and Data Science offers a modern curriculum which combines theoretical training and practical experience focused on essential biostatistics, programming, and data analytics skills.

The Biostatistics and Data Science (MA) program at the Medical College of Wisconsin provides a learning experience focused on solid theoretical foundation along with practical experience. Robust course offerings, active engagement in statistical consulting, and a capstone project create ample opportunities to develop essential analytical and communication skills. Consulting projects ranging from the simplest to the most complex protocols and data collection schemes allow students to get experience of working with data in the area of cancer research, cardiovascular diseases, clinical trials, genomics, big data, and machine learning. This hands-on experience will enable students to synthesize the acquired knowledge and integrate various courses they have taken. The 31-credit program can be completed in 18 months. Students will leave fully prepared to take on the challenges of careers in the pharmaceutical industry, healthcare, biomedical sciences, academics, and general data analytics.

Searching for an Excel course for beginners to experts? This online course has something for everybody, covering beginner, intermediate and advanced aspects in Excel.

The Bachelor of Science in Applied Quantitative Science program offers students a comprehensive education in advanced analytical and statistical methods, with a focus on applying these skills to real-...

The Master of Science in Statistical Science program is designed to prepare students for diverse careers in data analysis, research, and decision-making. It emphasizes core statistical concepts, metho...