Master's Degree in Statistics in Europe

View all Masters Programs in Statistics in Europe 2017

Statistics

A masters is the first level of graduate coursework and can be obtained after you receive a bachelor’s degree. Earning a masters usually requires two years of full-time study, which amounts to 36 to 54 semester credits.

 

Statistics is a highly relevant field with applications in many different academic disciplines, such as medicine, natural sciences, education, psychology, and education. It is also a desirable skill for workers in industry, business, and government.

There are more than four thousand higher education organizations in Europe, from leading research institutions to small, teaching-focused universities. Europe itself is not as much different than other continents, reaching from the Arctic Circle to the coast of Africa.

View all Master Programs in Statistics in Europe 2017

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Master 2 in Statistics and Econometrics

Toulouse School Of Economics TSE
Campus Full time 1 year September 2017 France Toulouse

The master 2 “Statistics and econometrics” develops students who have previously acquired a solid skill set in economics and/or mathematical statistics. [+]

Masters in Statistics in Europe 2017. Aims and Scope The master 2 “Statistics and econometrics” develops students who have previously acquired a solid skill set in economics and/or mathematical statistics. It offers general classes in mathematical statistics and in econometrics as well as specialized classes in various fields of application. The objective of the curriculum is first to give the students a solid culture in the big themes of applied statistics. This culture is necessarily developed while learning to use software like notably SAS, R and Matlab. Furthermore, the students acquire skills in computing when it comes to database management. Some options allow them to develop applications in various fields notably in the tertiary sector. Admission Admission is based on academic excellence criteria. An undergraduate degree of at least 4 years of college or a Master’s degree is required, within a recognized curriculum considered as consistent with the program and approved by the TSE selection committee. Some brushing-up in Economics or Maths might be advisable in some cases. Working knowledge of English is obviously required. Application deadlines: Applications are considered from November to mid-March for international students and in May/June for French University graduates. Fees 5500 euros + 256 euros Master registration + 215 euros Social Security Scholarships: Some Master scholarships will be awarded to Master students according to academic and individual criteria [-]

Master 2 in Econometrics and Empirical Economics (EEE)

Toulouse School Of Economics TSE
Campus Full time September 2017 France Toulouse

The EEE M2 program provides in the first semester a solid training in microeconometrics, time series, panel data models, non-parametric methods, large dimension statistical tools, computer programming, and database management system. [+]

Aims and Scope This master aims at providing econometric and empirical analysis tools combined with strong skills in using large data sets in order to perform deep studies in a broad area of economics. The EEE M2 program provides in the first semester a solid training in microeconometrics, time series, panel data models, non-parametric methods, large dimension statistical tools, computer programming, and database management system. In the second semester, students apply these training to do empirical studies in industrial organization, finance, public policy evaluation programs, health and insurance, data analytics and big data. Courses are taught in English by TSE faculty members with well-established international reputation in econometrics, empirical economics, industrial organization, and finance among others. This training is completed with an empirical project done during the whole year in a group of students. Admission Admission is based on academic excellence. An undergraduate degree of at least 4 years of college or a Master’s degree is required with a curriculum considered as consistent with the program and approved by the TSE selection committee. Working knowledge of English is also required. Application deadlines: Applications are considered from November to the end of February for international students and in April/May for French University graduates. Fees 5500 euros + 256 euros : Master registration fees + 215 euros: Social Security Scholarships: Some Master scholarships will be awarded to Master students according to academic and individual criteria [-]

Master 1 in Econometrics and Statistics

Toulouse School Of Economics TSE
Campus Full time 1 year September 2017 France Toulouse

The 1st year of the Master 1 in Econometrics and statistics provides rigorous training in the major fields of economics. [+]

Masters in Statistics in Europe 2017. Aims and Scope The 1st year of the Master 1 in Econometrics and statistics provides rigorous training in the major fields of economics. 100% of courses of this program are taught in English. The objectives of this 1st year is to enhance the students’ general economics culture and to prepare them for more quantitatively oriented classes. The program also includes: Individual tutoring hours in « econometrics », « Applied econometrics » and « Intro to SAS, R and Python » Employment coaching sessions in English Admission - Aimed at non French speaking international students - Students should hold a BA or BSc in Economics, Applied Mathematics within a recognized curriculum considered as consistent with the program and approved by the TSE selection committee. - GRE, TOEFL or TOEIC is required. Applications are considered from November (Eiffel scholarship applicants) and in February for international students and in May for graduates of French universities. Fees 5 500 euros/year (these fees can be paid in three installments) + registration fees (256€) and social security (215€) Finacial aids: Some Master scholarships and fee waivers will be awarded to Master students according to academic, geographical or individual criteria. [-]

Professional Master's Degree in Data Analytics

Sabanci University
Campus Full time 1 year October 2017 Turkey İstanbul

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. [+]

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. Data Analytics is considered to be a relatively new field which integrates state-of-the-art computational and statistical techniques to extract business value from a rapidly expanding volume of data. Many consulting firms claim that Data Analytics will be one of the key skills of the 21st century. Most critical issue, however, is the shortage of analytical talent that could turn the high-volume data into useful information that will be used for better decision making. In a business world in which the gap between winners and losers is narrowing down, companies are increasingly turning to data analytics to gain a competitive advantage in productivity, profitability and sustainable manufacturing processes for better products and better services. To be able to do that, companies need trained workforce skilled in Data Analytics, who are equipped to manage, understand and model the data, interpret the outcome and communicate the results for business use. Professionals holding a degree in Data Analytics will be well positioned to help their organizations gain a competitive advantage in a data-driven world. This program is designed to help our participants develop the skill set needed for creating and maintaining the added competitive edge that innovative companies are trying to establish. Our curriculum will help you develop skills required for data-driven decision-making with a wide variety of courses such as: Programming, Data management and data processing, Data mining, Machine learning, Statistical models for data analysis, Optimization, Decision modeling, Exploratory data analysis and visualization, Social network analysis, Data privacy, security and forensic discovery, Information security law, Business communication, Project management, a capstone project and more. Admission Requirements Applications for non-thesis master’s programs are evaluated by the assigned Admission Jury. Suitable candidates are invited to a personal interview. Admissions are finalized by the approval of the related Graduate School Board upon the recommendation of the Jury and are announced to the applicants. Application periods can be found in the Academic Calendar of Sabanci University. Your registration will be completed upon the approval of Turkish Higher Education Council regarding the equivalence of the last graduated higher instution and the course of study. Program Structure Professional Master's Degree in Data Analytics is a 30-credit program that can be completed in one academic year. The courses are distributed across three consecutive semesters (Fall-Spring-Summer), each of which lasts 14 weeks. Students take 10 courses (excluding the Term Project) in total from various areas. The Term Project is a non-credit course. Who should apply Professional Master’s Degree in Data Analytics is designed for working professionals who are looking into developing their analytical skills with no interruption on participants’ careers. The expected participant profile: Graduates of disciplines with a solid quantitative background (e.g. computer science, engineering, mathematics, physics, statistics, economics and other fields with a quantitative focus), or All professionals who have ample work experience in a data-analytics-related area and are seeking in-depth training in Big Data Analysis. Skills Acquired Diagnose, understand, measure and evaluate data to enable better decision making within the organization. Define and apply appropriate methodologies for complex business problems. Interpret findings, present and communicate the results. Graduates can find work as data analysts, data managers, data modelers and data scientists in the financial institutions, healthcare industry, insurance industry, telecommunications industry, marketing and media firms, retail industry and government agencies. [-]

MSc, MPhil, PhD - Statistics

University of Kent, School of Mathematics, Statistics & Actuarial Science
Campus Full time Part time 1 - 6 years August 2017 United Kingdom Canterbury + 1 more

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. [+]

Masters in Statistics in Europe 2017. MSc, MPhil, PhD - Statistics 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. There's a well-established system of support and training, with a high level of contact between staff and research students. A very active research seminar programme further enhances the Statistics research experience. Course structure Staff research interests are diverse, and include: Bayesian statistics; bioinformatics; biometry; ecological statistics; epidemic modelling; medical statistics; nonparametric statistics and semi-parametric modelling; risk and queueing theory; shape statistics. Statistics has strong connections with a number of prestigious research universities such as Texas A&M University, the University of Texas, the University of Otago, the University of Sydney and other research institutions at home and abroad. The research interests of the group are in line with the mainstream of statistics, with emphasis on both theoretical and applied subjects. The group regularly receives research grants. The EPSRC has awarded two major grants, which support the National Centre for Statistical Ecology (NCSE), a joint venture between several institutions. A BBSRC grant supports stochastic modelling in bioscience. Research areas Biometry and ecological statistics Specific interests are in biometry, cluster analysis, stochastic population processes, analysis of discrete data, analysis of quantal assay data, overdispersion, and we enjoy good links within the University, including the School of Biosciences and the Durrell Institute of Conservation and Ecology. A recent major joint research project involves modelling the behaviour of yeast prions and builds upon previous work in this area. We also work in collaboration with many external institutions. Bayesian statistics Current work includes non-parametric Bayes, inference robustness, modelling with non-normal distributions, model uncertainty, variable selection and functional data analysis. Bioinformatics, statistical genetics and medical statistics Research covers bioinformatics (eg DNA microarray data), involving collaboration with the School of Biosciences. Other interests include population genetics, clinical trials and survival analysis. Nonparametric statistics Research focuses on empirical likelihood, high-dimensional data analysis, nonlinear dynamic analysis, semi-parametric modelling, survival analysis, risk insurance, functional data analysis, spatial data analysis, longitudinal data analysis, feature selection and wavelets. Fees As a guide only, the 2014/15 annual tuition fees for this programme are: Statistics - MSc by Research at Canterbury: Full-time: £3996 UK/EU; £12450 Overseas Part-time: £1998 UK/EU; £6240 Overseas Statistics - MPhil at Canterbury: Full-time: £3996 UK/EU; £12450 Overseas Part-time: £1998 UK/EU; £6240 Overseas Statistics - PhD at Canterbury: Full-time: £3996 UK/EU; £12450 Overseas Part-time: £1998 UK/EU; £6240 Overseas Key facts Subject area: Statistics Award: MSc, MPhil, PhD Course type: Research Location: Canterbury Mode of study: Full-time or part-time Attendance mode: Campus Duration: MSc one year full-time, two years part-time; MPhil two years full-time, three years part-time; PhD three to four years full-time, five to six years part-time Start: September [-]

Master of Science in Mathematical Statistics

Lund University
Campus Full time 2 years September 2017 Sweden Lund

The Master's in Mathematical Statistics provides a broad spectrum of tools and methods for handling random phenomena occurring in scientific [+]

Programme overview

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.... [-]


Master in Applied Statistics

Örebro University
Campus Full time 2 years August 2017 Sweden Örebro

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. [+]

Masters in Statistics in Europe 2017. 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 master program prepares students for careers as statisticians in both the private and the public sectors. Statistical methods are used all over the world and the students of the master program gain access to the international job market. The program gives the students training for a profession as a statistician. At the same time the program prepares the student for studies at the Ph.D. level. The training covers many areas of statistical theory and practice giving opportunities to work in different fields of application of statistical methodology, although a focus of the program is on applications within the economic and social sciences. The program is particularly well suited for students interested in a career in official statistics. It is the only Swedish master program and one of twelve in total that has been certified by Eurostat (the statistical office of the European Union) to offer a European Master in Official Statistics (EMOS). The program is made up of four semesters of courses. The program starts with a course in mathematics and a course in statistical theory. During the first year students will, in addition, take two courses in econometrics, two courses on the theories and methods in the area of survey methodology and courses in computational statistics and Bayesian statistics. The third and the fourth semesters each includes two courses and one 15 credits master thesis. The students write two master theses in the program, one during the third semester and one during the fourth semester. A European Master in Official Statistics can be obtained by taking courses aimed towards official statistics during the third semester, conducting an internship at Statistics Sweden or another statistical agency during the fourth semester and writing a thesis that is relevant for the production of official statistics. After completion of the program, the student has the training needed to take a leading role in the design and implementation of statistical surveys and analyses as well as the ability to contribute to the developments of statistical methodology. Specific entry requirements A first-cycle qualification of at least 180 credits, of which at least 90 credits are for studies in statistics alternatively 30 credits are for studies in statistics and 60 credits for mathematics. The applicant must also have qualifications corresponding to the course "English 6" or "English B" from the Swedish Upper Secondary School. Qualifications (degree awarded) Degree of Master of Arts/Science [60 credits] Degree of Master of Arts/Science [120 credits] Career The job market for statisticians is good. A statistician can work in many different areas all over the world. Statisticians are employed by banks, insurance companies, medical companies, manufacturing companies and government agencies. Additional information The application period is open between October 16th 2015 - January 15th, 2016. [-]

M.Sc. in Stochastics and Data Science

University of Turin
Campus Full time 2 years September 2017 Italy Turin

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. [+]

INTRODUCTION One of the leading job figures of the 21th century is going to be that of data scientist. Jobs analysts have been ranking Mathematicians, Statisticians and Data Scientists among the best and most requested jobs: Harvard Business Review: Data Scientist: The Sexiest Job of the 21st Century; Glassdoor: Data Scientist rated as the no. 1 job in 2016; Forbes: number of Data Scientists doubled over the last four years; McKinsey: Big data, the next frontier for innovation, competition, and productivity; LinkedIn ranks Statistical Analysis and Data Mining as the hottest skill in 2014; CareerCast ranks Mathematician and Statistician among the top 3 jobs in 2014; New York Times: Bayesian statistics are rippling through everything from physics to cencer research, ecology to psychology. The M.Sc. in Stochastics and Data Science is a two-year graduate course that aims at preparing students with a modern education in advanced probabilistic, statistical and computational methods. Inspired by the best programs in Data Science recently started in the USA and Europe, this course brings together the expertise and international standing of three different departments of the University of Torino to create a unique chance for obtaining a solid degree in Data Science at low university fees. The Program is entirely taught in English and will also feature course modules taught by visiting professor who are internationally recognised experts of their respective areas. Graduates in Stochastics and Data Science will possess a solid knowledge in key topics of Applied Mathematics, Probability, Statistics, Stochastic Processes, Computer Science and Machine Learning. These are nowadays essential tools for performing mathematical modelling under uncertainty and for analysing complex, high dimensional datasets with a deep mathematical understanding of the underneath structures. They will be able to work in technological companies, research institutions, banks and insurance companies, financial sector, industries (of all sectors), universities, public administrations, laboratories and research centres in the fields of medicine, biology, ecology, social sciences. Alternatively, those more interested in proceeding with PhD studies, will have gained a solid background which allows to enter programs in Statistics, Mathematics, Applied Mathematics, Operations Research, Computer Science, Economics and Mathematical Finance, among other topics. LOCATION Torino is a beautiful city located in the north west part of Italy, relatively close to France and Switzerland. Surrounded by the Alps, which are visible from the city center in bright days, it is at one hour drive from ski resorts and less than two hours drive from the soothing Tyrrhenian sea. The first capital of Italy, Torino is classic in style but modern in nightlife, and is nowadays one of the most thriving Italian cities appreciated for the quality of food and restaurants, and the extremely broad range of offer for hanging out. FEES AND SCHOLARSHIPS Tuition fees for Master's programs at the University of Torino depend on family income and usually range between 600 and 2800 € per year. More detailed information is available through the Master webpage. Limited scholarships for international students are available from: University of Torino; Piedmont Regional Agency for the Right to Education. Early applications are strongly suggested. FURTHER INFORMATION Please visit the course webpage for further details http://www.master-sds.unito.it [-]

Master of Statistics by Distance Learning

Hasselt University
Online & Campus Combined Full time Part time 2 years September 2017 Belgium Hasselt Diepenbeek + 2 more

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. [+]

Masters in Statistics in Europe 2017. Distance Learning Option From the academic year 2014-2015 onwards, the Master of Statistics will be gradually offered as Distance Learning (DL) Program, next to and in parallel with the on-campus program. Enrolling for the DL Program means that as a student you will take the program from a distance, i.e. from home, workplace or virtually any place with access to the internet. Program In 2014-2015 we offer a program of 30 credits with an equal spread over the first and second semester. As can be seen in the table below, you can take three courses in the first semester between September 2014 and January 2015, and 3 courses in the second semester between February and June 2015. One unit (P-LFD) is a project that runs over both semesters, i.e. between September 2014 and June 2015. The on- and off-campus program will be offered in parallel, synchronized as far as practically feasible, and with maximal flexibility. It will be possible to switch between the on-campus and off-campus programs. The content and learning outcomes within and across courses are identical. In 2015-2016 we plan to offer the full-time program (60 credits) for the first year of the Master program in Distance Learning, as well as part of the second year. In practice the study load has proven to be too heavy to combine the full-time program (60 credits) with a job. Combining a parttime program of 30 credits with a (parttime) job is expected to be feasible. Assessment and Examination 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. Hence, at this stage of the implementation, examinations will be held for all student on campus. On campus means that we have three universities were the exams will be arranged: University of Hasselt, campus Diepenbeek, satellite university Anton De Kom (ADEKUS) in Paramaribo, Suriname and University of Gondar. This implies that students taking the DL program can choose the destination as close to their home country. We are also trying to make it possible in the future to arrange exams in other universities around the world. Travel and accommodation expenses are to be financed by the student himself, but practical assistance is offered by our administrative offices. There are essentially two options. One option is to participate in all exam sessions, after each semester (January and June), and if necessary, in the re-examination period (mid August - first week of September). If not feasible you could opt for the possibility to take all exams in the August-September period. This latter option however does not allow you to retake any exam within one academic year. Registration Students selected for the DL program will be informed by the university. Their pre-registration will be updated to Distance learning program and a payment request for tuition fee and insurance fee will be sent by email. Only after receipt of the payment of both tuition fee and insurance fee (2 months (January and June, € 40/month) the student will be enrolled in the program. If student needs to travel to Hasselt University for re-sit exams in August an additional €40 insurance fee will have to be paid. Tuition fee The tuition fee for the Distance Learning Program depends on your country of origin: students from Belgium pay a fix fee of €61.90 + €9.30 per credit. Hence, a 30 ECTS credit program costs € 340.90 students from the developing countries in the following list pay € 80: Africa: Benin, Burkina Faso, Burundi, Cameroon, DR Congo, Ethiopia, Gambia, Ghana, Guinea, Ivory Coast, Kenya, Madagascar, Malawi, Marocco, Mozambique, Nigeria, Rwanda, Senegal, South-Africa, Tanzania, Togo, Tunisia, Uganda, Zambia, Zimbabwe Asia: Bangladesh, Camodia, India, Indonesia, Jordan, Laos, Nepal, Palestinian Territories, Philippines, Sri Lanka, Thailand, Vietnam South America: Bolivia, Brasil, Colombia, Cuba, Dominican Republic, Equador, Guatemala, Guyana, Haiti, Honduras, Mexico, Nicaragua, Paraguay, Peru, Suriname, Uruguay Students coming from all other parts of the world pay € 1057. Requirements Technical requirements In order to follow the Distance program you evidently need to be able to have access to (or own) a computer with a sufficiently recent operating system and with an internet connection that allows you to download documents and to stream videos (at least 3Mbps). A limited number of software packages need to be downloaded: R and LaTeX are available online for free; SAS can be downloaded from the UHasselt intranet (but hence a sufficiently fast internet connection is needed) or you can use the SAS Web Editor. More detailed information will be delivered to you after registration. Requirements concerning accredited prior learning As is the case for the On-Campus students, you need to hold at least a university diploma or degree certificate or a diploma of higher education equivalent to a bachelor’s degree (180 ECTS credit points). Admission can be given directly, conditionally or indirectly after finalization of a preparatory programme. Language requirements Candidates who wish to register in an English language Master’s program have to demonstrate good command of English, both written and spoken. English language skills need to be confirmed by a recent score on the Test of English as a Foreign Language (TOEFL) or the International English Language Testing System (IELTS) or any recognised proficiency test. The English proficiency test can be waivered if your education was (partly) in English or if English is a national language in your home country. [-]

Master's Programme in Mathematical Sciences

University of Gothenburg, Faculty of Science
Campus Full time Part time 2 years September 2017 Sweden Gothenburg + 1 more

The programme has the following specializations: Mathematics, Applied Mathematics, Financial Mathematics, and Mathematical Statistics. [+]

The use of mathematical and statistical models and methods have facilitated tremendous advances in knowledge during the last few centuries. Still, it may be today that the growth in ways of applying mathematical sciences is at its greatest, as ever-increasing data-collection and computing possibilities make new application ideas feasible. Examples of this include finding disease-related genes, cryptography for the internet, and risk computations for new financial instruments. At the same time, the strong tradition of pure research in mathematics is continuing, where the research goal is simply to follow the human need to explore, and to understand the logical consequences of axioms. The interplay between these two sides of our field make this a very exciting time to study mathematics. The Department of Mathematical Sciences has strong traditions in both pure and applied research. The fact that we are a joint department, part of both Chalmers Technical University and University of Gothenburg, gives us a size and contact surface that make many cooperations and specializations possible. We have research groups in algebraic geometry and number theory, biomathematics, complex analysis, computational mathematics, discrete mathematics, harmonic analysis and partial differential equations, kinetic theory, optimization, probability theory, wavelets, bioinformatics and statistical genetics, biostatistics, spatio-temporal stochastic models with environmental and marine applications, population dynamics, particle systems and statistical physics, extreme value theory, telecommunications, material fatigue and reability, environmental statistics, spatial statistics and image analysis, markov theory and algorithmic applications, and mathematical finance. As well as qualifying for graduate studies in mathematics and mathematical statistics, the Master's Programme can provide you with a background desirable to many employers, such as medical, industrial, consulting, insurance, or financial businesses, or public employers. The programme has the following specializations: Mathematics, Applied Mathematics, Financial Mathematics, and Mathematical Statistics. A number of advanced courses are available for each specialization. It is possible to complement your background with courses on a more basic level, or to follow research-level courses. The specialization towards financial mathematics is a cooperation with the school of Business, Economics and Law at the University of Gothenburg. The programme contains a masters thesis project of 30 higher educational credits, which may be done in cooperation with an external institution. [-]

Master of Statistics

Hasselt University
Campus Full time Part time 2 years September 2017 Belgium Diepenbeek Hasselt + 2 more

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 [+]

Masters in Statistics in Europe 2017. The need for well-trained biostatisticians, bioinformaticians and epidemiological and public-health scientists is ever increasing, enhanced by the scientific revolution in molecular biology and genetics, its impact on health and the environment, as well as by the availability of ‘big data’ and progress in data science. Hasselt University’s Master of statistics with specializations: Biostatistics, Bioinformatics and Epidemiology & Public Health Methodology, keeps abreast of such evolutions. The master programme combines a solid study of principles of applied and biostatistics with up-to-date information on topics such as clinical trials, public health, longitudinal data, survival analysis, genetics, survey methodology, etc. The specialisation in Bioinformatics makes it possible to keep an even closer pace with the more specific professional needs and skills required due to the development of novel experimental techniques in molecular biology and genetics. Hasselt University’s Master of statistics acquired accreditation from the prestigious Royal Statistical Society. Graduates from accredited courses will be granted the society’s professional status of graduate statistician on application. Graduate statistician is a grade of professional membership of the society. It provides formal recognition of an individual’s statistical qualifications. Graduate statisticians will be able to further undertake suitable professional training and experience, normally for at least five years, so as to be eligible to apply for Chartered statistician status. Students can choose between four specialisations: ... [-]

Graduate Of Statistical And Mathematical Methods Of Analysis

Moscow State University of Economics, Statistics and Informatics MESI
Campus Full time 2 years September 2017 Russia Moscow

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: ... [-]