Top 26 Master of Science Programs in Statistics 2019/2020
Statistics is a kind of mathematics that allows researchers to make sense out of their gathered data. By identifying correlations, summarizing information, and determining the significance of experimental results, statisticians draw reliable conclusions from studies and surveys.
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,
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 t
Actuarial Science and Statistics
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....
NYU Steinhardt School of Culture, Education and Human Development
In this flexible-credit master of science program, you will learn advanced quantitative research techniques and apply them to critical policy issues across the social, be
A Socially Significant Master's Degree
According to the National Center for Education Statistics, the number of jobs in statistics and data science has nearly tripled in the past five years – and the American Statistical Association says there are still not enough statistics graduates to meet this demand. As a student in this program, you will acquire highly marketable advanced analytic skills for a wide range of challenging and rewarding data-intensive careers in the social, behavioral, and health sciences. In particular, students in this program will:
Build a strong foundation in statistical research techniques and apply them to address critical issues in contemporary social, behavioral, health science and policy research.
Prepare for a career as an applied statistician and data scientist in the private or public sector, working in fields such as psychology, education, political science, public policy, media research, or healthcare.
Prepare for further academic study in a variety of disciplines that require or focus on quantitative analysis.
Key Program Features
Increasing computer power and the professional need to extract objective information from observed data have led to complex databases. Statistical science has become a br
Increasing computer power and the professional need to extract objective information from collected data have led to complex databases. Simultaneously, statistical science has become a large discipline with well-developed methods and techniques for a wide range of data structures. Knowledge obtained from correctly analysed data allows to predict, adjust and even optimize processes based on empirical evidence. On the other hand, inefficient or incorrect data collection and analysis can lead to inferior or misleading conclusions with possibly far-reaching consequences.
Therefore, international professional and research standards in various fields demand high quality data analysis, performed by qualified statisticians. This program offers intensive training in modern statistical methods and data analysis to scientists from a variety of fields including biology, bio-informatics, economy and marketing, environmental and life sciences, engineering, mathematics and physics, psychology and social sciences.The program aims at improving problem solving skills and evidence based decision making. This will enable scientists to play a distinctly important role within their field of expertise.
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 ar
Master of Science in Statistics
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...
Georgetown University - Graduate School of Arts & 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 i
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....
Apply the skills learned in statistical analysis to a variety of industries, including insurance, marketing, government, health care, and more.
The MS in applied statistics focuses on data mining, design of experiments, health care applications, and the application of statistics to imaging and industrial environments. You’ll integrate knowledge learn through engaging courses to solve more complex problems for a wide range of organizations, including industrial, marketing, education, insurance, credit, government, and health care.
The MS program in applied statistics is available to both full- and part-time students with courses available both on-campus and online. Cooperative education is optional. The program is intended for students who do not wish to pursue a degree beyond the MS. However, a number of students have attained doctorate degrees at other universities....
Through the program’s cutting-edge research in methodology and statistics, you will acquire the knowledge and skills needed to carry out fundamental and applied research
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):
Department of Methodology and Statistics (UU)
Department of Biostatistics, University Medical Centre Utrecht (UU)
Department of Research Methodology, Measurement and Data Analysis (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 Master of Applied Statistics with Network Analysis is implemented by the NRU HSE International Laboratory for Applied Network Research. The Academic Supervisor of the
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)....
Russia, Moscow, United Kingdom, London, Canterbury, Nizhny Novgorod, Saint Petersburg, South Korea, Seoul+ 5 More
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 industri
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 most45)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....
Syracuse University - College of Arts and Sciences
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
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.
Master of Sciences 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....
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 scie
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....
Our innovative MSc programme will equip you with the necessary analytical skills, methods and ways of thinking to tackle and analyse complex organisational problems.
MSc in Operational Research and Applied Statistics
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.
Course is delivered by experts in the fields of Operational Research and Statistics
Skills learned are highly transferable for use within industry, business and the public sector
Close collaboration with a number of organisations who employ Operational Researchers, Statisticians and Financial/Risk Modellers
The PGDip/MSc in Applied Statistics and Datamining is a commercially relevant programme of study providing students with the statistical data analysis skills needed for b
The PGDip/MSc in Applied Statistics and Datamining is a commercially relevant programme of study providing students with the statistical data analysis skills needed for business, commerce and other applications.
The PGDip/MSc in Applied Statistics and Datamining is a one-year taught programme run by the School of Mathematics and Statistics. The course is aimed at those with a good degree containing quantitative elements who wish to gain statistical data analysis skills.
Commercially relevant course.
Course content is aligned with the requirements of the commercial analysis sector.
Dissertation topics are generated in part by commercial partners.
Teaching involves widely used commercial software packages (SAS, SPSS).
The popular open-source tool (R) is also used.