Top 26 Master of Science Programs in Statistics 2019
Master programs provides the same title for the degree - the Master. Postgraduate studies such as Masters of Science are shortened MSc. The Master of Science in Management program or the Master of Science of Management education are postgraduate programs in common management. This means that students receive an academic education with depth of reflection and abstraction. Masters usually can be classified as Master of Science (MSc) or the popular Master of Arts (MA). The Master of Science (MSc) usually is given for successfully achieving postgraduate programs with a science or technical point of convergence.
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....
This course offers a modern advanced curriculum in statistics, providing the specific techniques and skills suitable for a professional career in statistics or as a solid
This course offers a modern advanced curriculum in statistics, providing the specific techniques and skills suitable for a professional career in statistics or as a solid basis for research in the area.
Optional topics typically include generalised linear models, Markov Chain Monte Carlo, the bootstrap, multivariate analysis, spatial statistics, time series and forecasting, multilevel models, stochastic finance, together with shape and image analysis.
This course is founded by the work being carried out in the Statistics and Probability research group
The School of Mathematical Sciences is one of the largest and strongest mathematics departments in the UK, with over 70 full-time academic staff
The Research Excellence Framework (REF) 2014 results place the School in the top 10 nationally within Mathematical Sciences for 'research power' and 'research quality'; with 32% of its research recognised as world-leading and a further 56% as internationally excellent
The research environment was classified as 75% world-leading in vitality and sustainability, with the remaining 25% internationally excellent, reflecting the outstanding setting the school provides for its academic staff as well as its postdoctoral and postgraduate researchers
Ranked 8th in the UK for three subject areas within the School, namely pure mathematics, applied mathematics, statistics and operational research
This course is accredited by the Royal Statistical Society
The school scored 87% for student satisfaction in the National Student Survey, 2018
Academic English preparation and support
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....
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...
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, educ
Master of Science in Applied Statistics
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....
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
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....
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....
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...
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....
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 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....
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)....
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....
Often known as the science of uncertainty, statistics - the study of the collection, analysis, interpretation and presentation of data - is a subject that has an impact i
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.
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....
Charles University Faculty of Mathematics and Physics
The program is targeted at students who wish to obtain theoretical and practical knowledge about the mathematics of random events. It is primarily characterized by a bala
The program is targeted at students who wish to obtain theoretical and practical knowledge about the mathematics of random events. It is primarily characterized by a balance between rigorous mathematical theory, depth of insight into various fields of the subject (probability, statistics, econometrics) and applications in various areas. The students will obtain a general background by taking compulsory courses in probability, optimization, statistical modeling, and random processes.
They continue by taking elective courses to extend their expertise and choose a specialization they would like to study more deeply. In seminars, they learn to work independently as well as to collaborate on complex projects. Great emphasis is placed on the development of independent analytical thinking. Probability, statistics, and econometrics have a close relationship with other mathematical subjects (mathematical analysis, numerical mathematics, discrete mathematics). Applications are inspired by real problems from economics, medicine, technology, natural sciences, physics, and informatics....