Masters Programs in Statistics

Compare 20 Masters Programs in Statistics

Statistics

After earning a bachelor’s degree, many students are interested in taking the next step in their education. A master’s is a postgraduate program that typically takes one to three years to complete. Coursework is more focused on an aspect of a career field, allowing individuals to specialize within their profession.

What is a Master in Statistics? The focus of this degree typically provides a deep and wide theoretical understanding of statistics, but with an emphasis on practical applications. The ways that mathematical sciences can be applied in today’s society are diverse, and new fields continue to develop. Students in this type of program may study data collection methods, risk computations, environmental and spatial statistics, algorithmic applications and mathematical theories and methodologies.

Individuals with an advanced degree are equipped with the knowledge and experience to succeed in a number of career fields within the international job market. They may also enroll in a Ph.D. program, which opens the door to a profession in education and research.

The cost of a master’s degree varies greatly due to the wide range of programs available. Some institutions require research projects, theses or internships that affect the length of the course. The location of the university also influences expenses. Fees, tuition schedules and enrollment costs differ.

The professions that require statisticians are too numerous to list because of the widespread need for this skill, but fields include medical, insurance, financial, political and industrial, to name a few. Graduates may assist companies with technical decision-making processes, provide statistical knowledge for corporate operations or evaluate potential fraud cases. Banks, market research firms and pharmaceutical companies actively recruit statisticians, and many students are hired in professional positions before graduating.

Universities around the world offer statistics master’s degrees, and they are often made available online for those who are unable to relocate or adjust daily routines to allow for full-time classroom attendance. To find the institution that fulfills your educational needs, search for your program below and contact directly the admission office of the school of your choice by filling in the lead form.

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Master of Business Statistics

Hult International Business School
Campus Full time 1 year August 2017 USA San Francisco

As the role of big data becomes increasingly important, a one-year Hult Master of Business Statistics degree equips you with the analytical and business capability to translate data statistics and analysis into action. [+]

Masters in Statistics. Learn how to translate big data and analysis into action—and qualify for a 3-year OPT working visa in the U.S. As the role of big data becomes increasingly important, a one-year Hult Master of Business Statistics degree equips you with the analytical and business capability to translate data statistics and analysis into action. Locations Start your Master of Business Statistics in San Francisco, then choose to take electives at any other two campuses as part of Hult's unique Global Campus Rotation. Your Master of Business Statistics at a glance Who is this program for? For candidates who have recently graduated from university or college, as well as individuals with up to three years of work experience who want to influence business decisions and strategy through harnessing the predictive capabilities of data and business analytics. Non-U.S. residents who receive a Master of Business Statistics will also qualify for up to three years of OPT (Optional Practical Training) in the U.S. after their studies. OPT is normally 12 months, so the degree is particularly well-suited to those hoping to experience work in the U.S. after their degree. For more details, please contact us. What you’ll learn Companies such as Google, Facebook, and Amazon have demonstrated the profitability of harnessing the predictive power of large-scale consumer data. In this new world of information overload, employers actively seek candidates who have the ability to translate data into actionable solutions. Hult’s one-year Master of Business Statistics degree will place you at the intersection of statistical analysis and business knowledge so that you can make meaningful, impactful contributions. Why Hult? At Hult’s San Francisco campus, you’ll learn how to harness the power of information near some of the most prestigious professional names in big data. Within just miles of campus you’ll find the San Francisco headquarters of both Google and Twitter, two giants leading the transformation of how businesses leverage big data. Bright minds will also follow you into the classroom. Hult professor Olaf Groth, for example, worked for global enterprises like Vodafone and Boeing before launching his own consultancy, and he brings that experience into the classroom teaching global strategy. Curriculum Core courses form the backbone of your Master of Business Statistics curriculum. You will study them throughout modules A – C. Immersion Your Master of Business Statistics program begins with a three-week Immersion. Immersion is the first course in all our Master degree programs and lays the foundations for a successful year. It is a combination of learning academic fundamentals, teamwork, and forging a sense of community among classmates.You will also have the opportunity to orientate yourself to life at Hult and your new home city. The Immersion course prepares you to develop into well-rounded business professionals over the duration of your program and provides the knowledge and skills required to apply a competency-based approach to leadership development. You'll end the course with a capstone simulation which introduces you to complex, integrated high-level business problems in a true-to-life team format. You'll develop and execute a corporate growth strategy, managing all functional areas of a business. Core courses For your first three modules, your core courses will focus on the fundamentals of business statistics and analytics —taught from a global perspective. You will then tailor your final two modules to your individual interests and career goals with electives that your can choose to take at any of our six global campuses. Computer Programming for Business Statistics I Statistical Modeling Predictive Analytics Data Strategy and Visualization Computer Programming for Business Statistics II Optimization Machine Learning Data Mining Applied Data Analytics Data Analysis Project Storytelling Through Data Business Intelligence Data Science & Ethics Electives As part of your Master of Business Statistics, you will have the opportunity to take four electives of your choice once you have successfully completed all of the core courses. These electives allow you to tailor the program content to your personal and professional goals. Practical application: Simulations & The Hult Business Challenge Applying business theory in realistic scenarios is central to all aspects of the Hult curriculum. Classes are enriched with practical application at every opportunity and skills are put to the test with both virtual and real-world projects. Career development Navigating an international job search requires an individual approach. At Hult, we are experts in international student placement and work one-on-one with you to craft a tailored career strategy. Career Fast Track The earlier you start your job search, the greater your chance of success. Our Career Fast Track program enables you to have everything in place so you can start applying for jobs as soon as you arrive on campus. Before you start your program at Hult, you'll have access to software that gives you a line-by-line resume review, webinars on resume writing, global market employment trends, and creating a targeted job-search strategy. So when you arrive on campus you can concentrate on your studies, networking opportunities, and begin your job search straight away. Line-by-line resume reviews Webinars on global employment trends, personalizing your job search, and how to get your resume to a globally competitive standard Interactive sessions with expert Careers Advisors Personalized support We work one-on-one with you to craft a tailored career strategy and give you the tools to execute it. Coaching Throughout your program, you'll attend workshops and coaching sessions to equip you with essential knowledge and skills in areas like LinkedIn optimisation, personal branding, negotiations, interview preparation, and job search strategy. Advice You'll be assigned a personal Careers Advisor who will work with you one-on-one to help you position yourself to enter your target location and industry. They can advise you on everything from visas to job applications and long-term career paths. You also have the opportunity to have an alumni mentor. Events There is a packed schedule of career events that bring companies to campus to present, network, and recruit, as well as alumni mixers, expert guest speakers, and career open house events. Post-graduation Your career development doesn't stop when you graduate and neither does Hult's support. Constantly stay connected Your alumni network is one of your biggest assets. Hult Connect is an online portal that allows you to link with the 16,000 Hult alumni working in every major industry in every corner of the world. You'll also have access to our global job board so you can continue to take advantage of our relationship with the world's top employers seeking talent. Hult's Alumni Mentorship Program provides you with an opportunity to be a part of coaching the next generation of leaders coming out of Hult. Hult Connect, the online portal for our 16,000+ alumni network Alumni Mentorship Program Global job board and networking events Lifelong education Change never stops, so your business learning shouldn’t either. We empower you to stay up-to-date with emerging trends by taking a complimentary elective each year for the rest of your life. One elective a year, on us. Most careers span decades and critical skills can change as you progress in seniority. The rapid pace of change also means future critical business knowledge might have simply been impossible to learn during your program. Before 2004 there was no Facebook or YouTube; neither the iPhone nor Airbnb existed prior to 2007; and yet understanding the impact of these innovations is critical for business success today. At Hult, you can refresh a skillset or get up to speed in a new business trend by enrolling in one elective a year at any of our global campuses. There’s a small registration fee, but the course is otherwise free of charge. Executive education options for life. Instead of studying an elective, every year Hult alumni can enroll in a range of leadership Summer Executive Education Programs at our historic Ashridge Estate campus in Berkhamsted, U.K. Courses feature a range of leadership and development programs, and are taught by experts with practical, theoretical, and commercial experience. There’s a small registration fee, but courses otherwise cost over $10,000 so the savings over time for Hult alumni are significant. Admissions & fees Hult takes a holistic approach to reviewing your application. In addition to academic achievement, we look for cultural awareness, leadership potential, and a drive to succeed. [-]

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 of Mathematical Sciences (MMS)

The Australian National University | Science
Campus Full time 2 years January 2017 Australia Canberra

This degree is intended to enable students to upgrade their expertise in the mathematical sciences either as a route to further study of mathematical sciences or to upgrade their quantitative skills in areas such as the biological sciences and computational science that are rapidly becoming more reliant on advanced techniques from the mathematical sciences. [+]

Masters in Statistics. A single two year graduate degree offered by the ANU College of Physical and Mathematical Sciences ANU is ranked number one in Australia for maths teaching and research*. We offer our students small class sizes and access to some of the best mathematicians in Australia, currently including 15 fellows of the Australian Academy of Sciences, two fellows of the Royal Society, ten recipients of the Australian Mathematical Society Medal and three ARC Laureate Fellows. Our researchers have access to up-to-date computing facilities including the National Computational Infrastructure supercomputer. We fulfil both a national and international role as a “research institute” in the mathematical sciences, working cooperatively with the Australian Mathematical Sciences Institute (AMSI) and a number of international centres. This degree is intended to enable students to upgrade their expertise in the mathematical sciences either as a route to further study of mathematical sciences or to upgrade their quantitative skills in areas such as the biological sciences and computational science that are rapidly becoming more reliant on advanced techniques from the mathematical sciences. Learning Outcomes Upon successful completion, students will have the skills and knowledge to: Explain the fundamental concepts of a chosen research topic and its role in modern mathematics and applied contexts. Systematically identify relevant theory and concepts, relate these to appropriate methodologies and evidence, and draw appropriate conclusions. Demonstrate capacity for mathematical reasoning through analyzing, proving and explaining concepts from the chosen research area. Engage in systematic discovery and critical review of appropriate and relevant information sources. Communicate research concepts and contexts clearly and effectively both in writing and orally. Career Options ANU provides you with more choice for your entrance score by offering the new Flexible Double Degree program. The ANU Flexible Double Degree lets you build skills for your chosen career without forfeiting your passion. It's your choice to build a double degree partnership that suits your head and your heart.http://students.anu.edu.au/applications/ Further Information New students in this program are eligible to apply for a Commonwealth Supported Place. Visit the following website for further information: http://science.anu.edu.au/study/postgraduate/commonwealth-supported-places Admission Requirements A Bachelor degree or international equivalent with an average mark of at least 70% and at least 8 courses in cognate disciplines. All applicants must meet the University’s English Language Admission Requirements for Students. Applicants with a Bachelor Degree or Graduate Certificate in a cognate discipline may be eligible for 24 units (one semester) of credit. Applicants with a Graduate Diploma or Honours in a cognate discipline may be eligible for 48 units (one year) of credit. Students must achieve a minimum 70% average mark in the first 48 units of coursework and have the approval of the supervisor for the research project. Cognate discipline Mathematics, Statistics, Mathematical Economics, Mathematical Finance, Actuarial Studies, Computer Science, Bioinformatics Indicative fees Domestic students: $29,280.00 ... [-]

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. [-]

Master of Actuarial Practice

Bond University
Campus Full time 92 weeks January 2017 Australia Robina

The Master of Actuarial Practice follows the same structure as the Master of Actuarial Science, plus Practice Subjects. [+]

Masters in Statistics. The Master of Actuarial Practice follows the same structure as the Master of Actuarial Science, plus the following subjects: Practice Subjects (4) Actuarial Control Cycle 1 Actuarial Control Cycle 2 Investments and Asset Modelling Actuarial Research Essay (20 Weeks) [-]

Master of Actuarial Science (Professional)

Bond University
Campus Full time 92 weeks January 2017 Australia Robina

The professional program follows the same structure as the Master of Actuarial Science program with an additional 20-week Work Integrated Learning component. [+]

The professional program follows the same structure as the Master of Actuarial Science program with an additional 20-week Work Integrated Learning component. Work Integrated Learning is a 45 credit point subject designed to promote and support learning, personal development and professional practice. The subject focuses on developing self-analysis and reflective learning skills, and applying theoretical solutions for practical workplace problems. [-]

Master of Actuarial Science

Bond University
Campus Full time 72 weeks January 2017 Australia Robina

The Master of Actuarial Science combines advanced mathematics, statistics, data analytics, actuarial risk theory, finance, economics and accounting subjects with large-scale, real-life commercial data analysis. [+]

Masters in Statistics. ENTRY REQUIREMENTS Applicants must have completed an undergraduate degree at a credit average in any discipline other than actuarial science. PROGRAM DESCRIPTION The Master of Actuarial Science combines advanced mathematics, statistics, data analytics, actuarial risk theory, finance, economics and accounting subjects with large-scale, real-life commercial data analysis. PROGRAM STRUCTURE Core Subjects (9) Advanced Modelling Contingencies Corporate Finance Derivative Products Financial Mathematics Insurance Models Investments Macroeconomics Mathematical Statistics Electives (7) You must complete approved postgraduate elective subjects. PROFESSIONAL OUTCOMES Actuarial Science has emerged as a key growth sector of the 21st century and is consistently ranked among the best careers in the world. High graduate starting salaries and full employment rates reflect the growing demand for qualified analysts, with career opportunities predicted to increase substantially over the next five years. The Master of Actuarial Science prepares students for rewarding careers in a diverse range of disciplines, including climatology, consulting, data analytics, e-commerce, economics, finance, health, insurance, infrastructure, research, risk management, safety, science, statistics, superannuation and technology. PROFESSIONAL RECOGNITION Actuaries Institute [-]

Master of Public Health

Chicago State University
Campus Full time 2 - 3 years August 2017 USA Chicago

Chicago State University's MPH program is a practice-centered curriculum designed to prepare students for the health problems of the 21st century. It focuses on the core functions of public health including: health status assessments, environmental health quality assurance, behavior change strategies, health disparities, as well as health policy development and research. [+]

Chicago State University's MPH program is a practice-centered curriculum designed to prepare students for the health problems of the 21st century. It focuses on the core functions of public health including: health status assessments, environmental health quality assurance, behavior change strategies, health disparities, as well as health policy development and research. CSU’s MPH program has a value-added component that focuses on minority health and health equity. The MPH curriculum also emphasizes the social and scientific strategies in understanding the causality, consequences, prevention and control of diseases and untimely deaths. Students in the MPH program will conduct research that will increase public awareness of these health problems. Admissions Application Deadlines The Graduate School accepts applications on a continuous basis for most graduate programs; students interested in obtaining admission to a specific term should complete the admission process by these deadlines: Fall Term - March 15th (March 1st for all Counseling applicants). Spring Term - October 15th (one month earlier for international applicants). Total Tuition and Fees $3,926.00 - $6,248.00 (Graduate) [-]

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. [+]

Masters in Statistics. 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 (M.Stat.)

Sharda University
Campus Full time 2 years July 2017 India Greater Noida

Two years Post Graduate Course in Statistics. The course is intended for those having an inclination towards higher learning in Statistics. Statistics finds application everywhere and the degree warrants highly potential employability... [+]

Master of Statistics (M.Stat.) Two years Post Graduate Course in Statistics. The course is intended for those having an inclination towards higher learning in Statistics. Statistics finds application everywhere and the degree warrants highly potential employability. Eligibility B.Sc. with Mathematics/ Statistics with 60% marks Proficiency in English communication Career and Placement University Research or Teaching jobs, IT and Bank Jobs. Guidelines for Admissions Pre-qualification examination criteria for the Under Graduate programmes is Class 12th from any of the recognized boards of India. For foreign nationals, the pre qualification for the Under Graduate programmes is a certificate equivalent to Class 12th examination of the country and meeting the equivalence criteria of ‘Association of Indian University’. Pre-qualification criteria for the Post Graduate programmes is graduation from any recognized university in India. For foreign nationals, the pre-qualification criteria for the Post Graduate programmes is degree awarded by a University in a particular country and meeting the equivalence criteria of ‘Association of Indian Universities’. Applicants who have appeared for their final year graduation examinations in year 2015 may also apply for admission to Post Graduate programme. The University reserves its rights to judge the capability of a candidate through GD/PI before final admission. TOEFL/IELTS is compulsory for foreign nationals who do not have English as primary language in teaching and examination. To qualify for admission in Sharda University in its Under Graduate programme, the applicants must complete 17 years of age on 31st December of the academic year in which they are seeking admission. [-]

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. 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 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. [+]

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. [-]

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. 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. 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. [-]