After earning a bachelor’s degree, many students are interested in taking the next step in their education. A master’s is a postgraduate program that typically takes one to three years to complete. Coursework is more focused on an aspect of a career field, allowing individuals to specialize within their profession.
What is a Master in Statistics? The focus of this degree typically provides a deep and wide theoretical understanding of statistics, but with an emphasis on practical applications. The ways that mathematical sciences can be applied in today’s society are diverse, and new fields continue to develop. Students in this type of program may study data collection methods, risk computations, environmental and spatial statistics, algorithmic applications and mathematical theories and methodologies.
Individuals with an advanced degree are equipped with the knowledge and experience to succeed in a number of career fields within the international job market. They may also enroll in a Ph.D. program, which opens the door to a profession in education and research.
The cost of a master’s degree varies greatly due to the wide range of programs available. Some institutions require research projects, theses or internships that affect the length of the course. The location of the university also influences expenses. Fees, tuition schedules and enrollment costs differ.
The professions that require statisticians are too numerous to list because of the widespread need for this skill, but fields include medical, insurance, financial, political and industrial, to name a few. Graduates may assist companies with technical decision-making processes, provide statistical knowledge for corporate operations or evaluate potential fraud cases. Banks, market research firms and pharmaceutical companies actively recruit statisticians, and many students are hired in professional positions before graduating.
Universities around the world offer statistics master’s degrees, and they are often made available online for those who are unable to relocate or adjust daily routines to allow for full-time classroom attendance. To find the institution that fulfills your educational needs, search for your program below and contact directly the admission office of the school of your choice by filling in the lead form.
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. [+]
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. [+]
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. [+]
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. [+]
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... [+]
The programme has the following specializations: Mathematics, Applied Mathematics, Financial Mathematics, and Mathematical Statistics. [+]
Research looks into the future. Although invisible, mathematics offers innumerable interesting challenges to be solved. [+]
The program combines statistics fundamentals and operations research to find solutions to industry problems. You'll be exposed to the techniques scientists... [+]
Master of Statistics and Operations Research
The program combines statistics fundamentals and operations research to find solutions to industry problems.You'll be exposed to the techniques scientists, market researchers, financial analysts, economists and consultants use in various commercial and government organisations.The program will introduce you to contemporary statistical and operations research software and give you in-depth understanding of processes involved.
Learning and teaching
RMIT offers a variety of learning and teaching approaches including lectures, seminars, studios, workshops, presentations, group discussions and syndicate work. These are primarily in English. You will have access to online resources through the myRMIT student portal.Ongoing assessment throughout the semester includes examinations, essays, reports, oral classes, presentations, group projects, research projects, laboratory projects and practical assignments.... [-]
The Master of Statistics is an international two-year master programme. Individual (Reduced) programmes are possible. Students are free to combine courses from different specializations to create [+]
Today we can safely say that was left virtually no branch of business, wherever required highly qualified specialists in the economic and [+]
Graduate of statistical and mathematical methods of analysis and forecasting economic
Language of instruction: Russian
Today we can safely say that was left virtually no branch of business, wherever required highqualified on economic and mathematical modeling. At the same time every year the market requires more and more complex and qualified solutions.Graduates MESI - economists have analytical thinking, which is based on a deep knowledge of economics, mathematics, statistics, and computer technology. The specifics of the program - training based on a combination of disciplines that form the core of classical education in economics, applied statistics, econometrics, economic and mathematical modeling. Competence of the graduate program: ... [-]
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.... [-]