A masters is the first level of graduate coursework and can be obtained after you receive a bachelor’s degree. Earning a masters usually requires two years of full-time study, which amounts to 36 to 54 semester credits.
Statistics is a highly relevant field with applications in many different academic disciplines, such as medicine, natural sciences, education, psychology, and education. It is also a desirable skill for workers in industry, business, and government.
Master Degree in Statistics
This degree is intended to enable students to upgrade their expertise in the mathematical sciences either as a route to further study of mathematical sciences or to upgrade their quantitative skills in areas such as the biological sciences and computational science that are rapidly becoming more reliant on advanced techniques from the mathematical sciences. [+]
The professional program follows the same structure as the Master of Actuarial Science program with an additional 20-week Work Integrated Learning component. [+]
The Master of Actuarial Practice follows the same structure as the Master of Actuarial Science, plus Practice Subjects. [+]
The Master of Actuarial Science combines advanced mathematics, statistics, data analytics, actuarial risk theory, finance, economics and accounting subjects with large-scale, real-life commercial data analysis. [+]
Chicago State University's MPH program is a practice-centered curriculum designed to prepare students for the health problems of the 21st century. It focuses on the core functions of public health including: health status assessments, environmental health quality assurance, behavior change strategies, health disparities, as well as health policy development and research. [+]
The master 2 “Statistics and econometrics” develops students who have previously acquired a solid skill set in economics and/or mathematical statistics. [+]
The EEE M2 program provides in the first semester a solid training in microeconometrics, time series, panel data models, non-parametric methods, large dimension statistical tools, computer programming, and database management system. [+]
The 1st year of the Master 1 in Econometrics and statistics provides rigorous training in the major fields of economics. [+]
Two years Post Graduate Course in Statistics. The course is intended for those having an inclination towards higher learning in Statistics. Statistics finds application everywhere and the degree warrants highly potential employability... [+]
Big data is paving the way to empower businesses to make better decisions: With the amount of digital data increasing at an enormous rate, rigorous research is carried out in an effort to extract value from the massive data sets, to turn them into smarter decisions for improving business results. The emerging field of Data Analytics holds the key to unleashing that potential. [+]
With ongoing activities in areas like biological applications, statistical ecology, and nonparametric statistics, research students joining SMSAS will become part of a thriving and vibrant research community. [+]
The Master's in Mathematical Statistics provides a broad spectrum of tools and methods for handling random phenomena occurring in scientific [+]
The Master´s programme in Mathematical Statistics provides a broad spectrum of tools and methods for handling random phenomena occurring in scientific as well as industrial contexts. Within the programme you can specialise in many different areas for different purposes.
Within the programme you can specialise in many different areas for different purposes. In this programme you take at least 45 ECTS credits in mathematical statistics at Master’s level, and write a Master´s thesis of 30 ECTS credits. You can choose to take the remaining (at most) 45 ECTS course credits in mathematics or numerical analysis. You can also choose to take courses in other subjects such as computer science, or, if you are aiming for a career in a specific applied field, courses in that field. Examples include courses in economics, molecular biology and bioinformatics. If you intend to proceed to a PhD you should take courses with a high degree of theory content, while if you are aiming for a career outside academia you should take courses that cover a wide range of statistical models and methods.... [-]
With a Master's degree in Applied Statistics you will have the knowledge and the qualifications to assume a leading role in the design of statistical surveys and to contribute to the development of statistical analysis. Potential employers are banks and insurance companies, market research firms, as well as the industry sector, especially the pharmaceutical industry. [+]
The M.Sc. in Stochastics and Data Science is a two-year course that aims at preparing a new generation of data scientists, with strong mathematical skills and a modern education in statistical and computational methods. [+]
One of the principles we are bearing in mind when setting up the Distance program is to keep it as close to the On-Campus program as possible, not only its content and teaching methods, but also the way of assessing students. [+]