The Master of Science in Statistics teaches you to apply key aspects of quantitative models to decision making across a variety of industries. With an MS in Statistics, you will gain the knowledge essential for success as a statistics professional and develop the necessary skills to help meet modern business demands for statistical models, business analytics, and data mining.

Students are strongly advised to complete a minimum of six credits of undergraduate calculus (Calculus I & II) before beginning graduate coursework.... [-]

With the growth of the digital age businesses and organizations have had access to unprecedented amounts of data. In order to turn this data into a competitive advantage, businesses must develop effective methods to analyze and interpret vast amounts of information.Part business management and part data science, Data Analytics and Business Statistics is the key to developing methods that unlock the predictive potential of data.

Data Analytics and Business Statistics play an integral role in determining an organization’s overall strategic direction, and demand for this crucial set of skills is growing globally. The McKinsey Global Institute expects that demand for business people with deep analytical skills could outstrip current projections of supply by 50% to 60%.Graduated students can expect to play a greater role in decision making and strategy setting for their current or future organizations, adding significant value: studies show that businesses that understand how to interpret data outperform competitors by up to 20%.New England College’s MS in Data Analytics and Business Statistics will provide students with frameworks for critically looking at data, interpreting and visualizing data, and applying that knowledge in real-world applications that will shape how 21st-century business challenges are addressed.... [-]

A master’s degree in Actuarial Science and Statistics is designed to fit the needs of students in actuarial science, statistics or related fields. You have an option to take a wide range of courses in statistics, actuarial science, data analysis, as well as computer science. The curriculum is designed to provide a strong training in quantitative and statistical reasoning as well as skills using statistical software including R and SAS. The program is flexible enough to allow students to concentrate courses in either actuarial science or statistics, and can provide a combination of course in Statistics and Computer Science for those interested in the field of Data Science.... [-]

American University's master's degree in Biostatistics prepares students for direct entry into a variety of career opportunities in the health and medical fields.

The MS degree program combines rigorous study in the science of biostatistics applied to medical and health problem solving, with coursework in workforce skills such as management of health policies, big data, medical research, and entrepreneurship projects.

Students gain experience through:

Furthermore, students tailor their course of study depending on their interests and career goals by selecting one of three specialization tracks: health policy, computational, or management.... [-]

The Master of Science in Applied Statistics Program (MSAS) at Kennesaw State University is a professional degree program which seeks to prepare a diverse student body to utilize cutting-edge applied statistical methods to enable correct, meaningful inferences from data obtained from business, industry, government and health services. The use of a wide variety of commercial software will be emphasized to ensure graduates can effectively analyze real-world data.

The MSAS program is a 36 semester-hour applied graduate program designed to meet the needs of business, industry, and government. The program is intended for professionals or students with undergraduate degrees in the sciences, engineering, or business.... [-]

The primary mission of the MS degree program in Mathematics and Statistics is to prepare students for professional careers in disciplines which make use of the mathematical and statistical sciences. The curriculum is intended for individuals who have strong backgrounds, but not necessarily baccalaureate degrees, in mathematics. It is the only such program in the greater DC area, and it culminates in an MS degree in Mathematics and Statistics.

The program derives its philosophy from government and industry organizations in the DC area and has placed graduates into government agencies, defense and financial firms and nonprofits. There is a steady demand for highly trained professionals in data analytics, applied mathematical and statistical modeling and cloud computing, and our students have proven to be exceptionally competitive in the job market. A thriving internship program in mathematical and statistical consulting helps to train and place students and graduates into exciting jobs and satisfying careers.... [-]

Statistics is the science of making decisions in the face of uncertainty. Statistical thinking and methods are essential to a broad spectrum of industrial, research, educational, business, and government activities. The Kate Gleason College of Engineering, through the John D. Hromi Center for Quality and Applied Statistics, offers a master of science degree in applied statistics that provides state-of-the-art statistical thinking and methods.

There are three standard career options, each of which is designed to allow students to specialize in their career endeavors. A specialized career option is also available. Advisers can help identify an appropriate career option and develop a total program structured to meet individual professional objectives.... [-]

Modern society is highly data-driven. Everything is monitored and measured, yet there are major challenges to finding optimal ways to design research, analyze data, and extract the most valuable information.

This selective Master’s program combines the research expertise of the following departments at Utrecht University (UU) and the University of Twente (UT):

This program therefore also has two main study locations you can choose from, that is, either Utrecht University or the University of Twente. The collaboration between these departments provides you with an exceptionally broad range of internship opportunities and thesis topics focused on the following fields: Behavioural Sciences | Biomedical Sciences | Social Sciences... [-]

The M.S. degree in Statistics is designed to provide individuals with the academic foundation needed to pursue doctoral studies; to prepare competent statisticians who are equipped to accept responsibilities in business, industry, and public service positions; and to present a supplemental graduate program for students specializing in areas where statistics are readily used, such as social sciences, criminal justice, and the physical sciences. Core classes include mathematical statistics, regression analysis, multivariate analysis, and experimental design.

The SHSU Statistics program is widely respected across the state and beyond. Our graduates are sought after by top statistics Ph.D. programs nationwide. Others are employed as data analysts for major medical centers and pharmaceutical companies, as research scientists for marketing and banking firms, and as college instructors and professors... [-]

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. You study at least 45 credits in mathematical statistics at Master’s level and write a Master’s thesis of 30 credits. You can chooseto take the remaining (at most45)credits in e.g. mathematics or numerical analysis. You can also choose courses in other subjects, such as computer scienceor, 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.... [-]

This two-year master’s programme provides you with a thorough introduction to the general philosophy and methodology of statistical modelling, data analysis and data science.

What does this master’s programme entail?

The two-year master's programme in Statistical Science provides you with a thorough introduction to the general philosophy and methodology of statistical modelling and data analysis. The programme consists of a core programme shared by all students, and specialisation specific courses, electives, an internship or research project and master's thesis. You can specialise in either life and behavioural sciences, where the emphasis is on the application in multidisciplinary environments, or in data sciences where you focus more on data mining, pattern recognition and deep learning.... [-]

The Master of Applied Statistics with Network Analysis is implemented by the NRU HSE International Laboratory for Applied Network Research. The Academic Supervisor of the programme is Stanley Wasserman, PhD (Harvard University), a professor at Indiana University, who is also the Academic Supervisor of the Lab. He is one of the leading figures of Social Network Analysis and has launched a similar educational programme on statistics and network analysis in Indiana University and the University of Illinois.

The knowledge and the toolset obtained by the graduates of the programme will enable them to become skilled practitioners, to be able to apply advanced complex techniques of data analysis in their daily work in organizations of different types - both in commercial companies operating in various industries (banking, insurance, consulting, IT, medicine, pharmacy), and in research organizations (sociology, marketing).... [-]

1 year (Full-time) / 2-3 years (Part-time) / n/a (Distance / E-Learning)

Our innovative MSc programme will equip you with the necessary analytical skills, methods and ways of thinking to tackle and analyse complex organisational problems, help make better decisions, and to become confident statistical analysts. This is ideal training and experience for those looking for career opportunities in areas such as Operational Research, Management Science, Statistics, Management Consultancy, Business Analytics, Supply Chain Management, Government OR/Statistics etc.

How do ideas spread? How do cities become segregated? The programme prepares you to harness complex data and advanced computational tools to address these and other important social questions.

The increasing integration of technology into our lives has created unprecedented volumes of data on everyday social behaviour. Troves of detailed social data related to choices, affiliations, preferences and interests are now digitally archived by internet service providers, media companies, other private-sector firms, and governments. New computational approaches based on machine learning, agent-based modelling, natural language processing, and network science have made it possible to analyse these data in ways previously unimaginable.... [-]

Created in 1989, the Applied Statistics Program at Syracuse University is an interdisciplinary program within the College of Arts and Sciences that includes faculty from computer and information science, management, mathematics, psychology, and the social sciences, among others. The program offers an undergraduate concentration in applied statistics, sponsors a speakers series that hosts visiting statisticians and scientists, and offers a master’s degree in applied statistics.

The Master of Science program in Applied Statistics is a professional degree program administrated by the Interdisciplinary Statistics Program based in the College of Arts & Sciences. The program prepares students to apply cutting-edge statistical methodologies and theory in making meaningful inferences on the measurements obtained from government, health science and services, industry, and management.... [-]