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.... [-]

Obtaining your master's degree in mathematics from UCM opens doors of opportunity in your field. Whether you’re looking for more in-depth knowledge in a specialized area or are hoping to make a career move, your master’s degree provides a real advantage. In the graduate program, you will cultivate your ability for independent thought and demonstrate your aptitude for relevant research.

The M.S. in Mathematics program offers two options — Mathematics or Actuarial Science and Statistics.

The M.S. in Actuarial Science and Statistics is designed to fit the needs of students in actuarial science, statistics or related fields. Core courses include Applied Stochastic Processes and Multivariate Statistical Analysis, with electives in statistics, probability, actuarial science, and computer 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.... [-]

Modern society is highly data-driven. Everything is monitored and measured, yet there are major challenges to finding optimal ways to design research, analyse data, and extract the most valuable information. This Master’s programme combines the research expertise of the following departments at Utrecht University (UU) and the University of Twente (UT):

The collaboration between these departments provides you with an exceptionally broad range of internship opportunities and thesis topics focussed on the following fields: Behavioural Sciences | Biomedical Sciences | Social Sciences... [-]

Since the Fall of 2015, the Graduate School of Arts and Sciences has offered the Master of Science in Analytics with a concentration in Data Science degree. Instruction is provided by the Department of Computer Science and the Department of Mathematics and Statistics and the Analytics Program. The curriculum provides students with a rigorous training in computational, mathematical, and statistical methods to prepare them for careers in data science and analytics.

Students in the M.S. in Analytics, concentration in Data Science program will build a solid knowledge of data analytics fundamentals and then add skills in visualization, big data computing, and machine learning. Important soft skills such as communication, teamwork, and problem-solving techniques will be part of the training throughout. Individuals who complete the program will be able to pursue careers, especially in the Washington, D.C. area, in fields as diverse as homeland security, consumer marketing, finance, and government. The data science graduate program may also serve as a preparation for students who wish to enter a Ph.D. program in Applied Mathematics, Statistics, or Computer Science, or Economics. In addition, our instructional partnership with Lawrence Livermore National Laboratory further enhances the program.... [-]

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.... [-]

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.... [-]

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.... [-]

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.

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 choose to take the remaining (at most) 45 credits in e.g. mathematics or numerical analysis. You can also choose 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.... [-]

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.... [-]

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).... [-]

Our practically-oriented course gives you the skills employers are looking for - not just in terms of statistical knowledge, but transferable skills which will be useful whatever field you decide to work in. There is a shortage of well-qualified statisticians across the scientific, industrial and public sectors and a great demand for data analysts and statistical consultants, which our course has been specifically designed to meet.

Course highlights:

This is an applied course, with a strong emphasis on relating theory to practice, which aims to develop the analytical, logical, numerical and problem-solving skills that are in such demand with employers.

Middlesex is one of only four institutions in the UK which has been approved as a mirror for the statistical programming language R - meaning our students have access to this software and can use the same systems that are used in industry.... [-]