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During the last decade, there has been a dramatic increase in the size and complexity of data collected by both Industry and the Academic community. Read more

During the last decade, there has been a dramatic increase in the size and complexity of data collected by both Industry and the Academic community. Examples include genomic and proteomic data on one hand, and social media and electronic commerce data on the other. The availability of such vast quantities of data is having a large impact on both academic research and business practices. In particular, it is changing the nature and focus of the statistical profession.

The Department of Statistics at the University of Haifa is dedicated to providing its students with a rigorous, modern and up to date education in this exciting era for our profession. We focus on fundamentals while teaching the newest methods and applications. We emphasize computational know-how, the understanding of statistical ideas, and the ability to apply them. We train our graduates to analyze and draw meaningful conclusions from data, a skill that is becoming ever more important. Our goal is to see out graduates assume leading roles, within the profession, whatever their career choices may be.

What you will study

The International Master of Arts program in Statistics at the University of Haifa in Israel is dedicated to providing you with a rigorous, modern, and up-to-date education in Statistics. You will be trained to analyze and draw meaningful conclusions from data collected in a variety of application areas. This includes clinical trials, finance, genomics, and social media and web/mobile applications. The ability to reason with data is a skill that is becoming ever more important in the current age of Big Data, Data Science, and the Digital Economy.

The cutting-edge curriculum emphasizes computational know-how and the fundamental and core themes of the statistical sciences. At the same time it is also mathematically rigorous and challenging. The program will prepare you for further academic studies as well as for data related leadership roles in various industries including High-Tech, E-commerce, Healthcare, Research and Development and more.

The one-year program (non-thesis track) is taught in English over 3 consecutive semesters. A thesis track is also offered to those students who are interested in continuing to Ph.D. Your academic studies at the University of Haifa will be enhanced with networking opportunities with students from Israel and all over the world as well as by vibrant life on and off campus, which will acquaint you with Israeli culture, language, and start-up mentality.

Career

We are entering a golden age for the statistical sciences and profession. Companies large and small have come to realize that their data is among their most important assets, an asset they should analyze and learn from. Consequently, the demand for statistical expertise, and for statisticians, is rapidly growing. In addition to the traditional jobs in academia, government and the pharmaceutical industry, there is today a huge demand in modern applications such as finance, e-commerce, and social media to name a few. In some of these settings, statisticians go by the name of data scientists. The data explosion is also fueling research in new methods and models.

Graduates of our program have found employment in a variety of settings. Some have gone to assume academic positions. The majority, however, have found work in either industry and/or government. This includes large companies such as the Israeli Electric Company, the Israeli Ministry of Health, and Pharmaceutical companies such as Teva. Other graduates have preferred to work for smaller companies in various industries including the biomedical arena and as consultants in such companies as Boston Consulting. Recent graduates have found work as data scientists in the high-tech sector with transnational companies such as Intel and Microsoft.

Courses

The Non-Thesis Track lasts for three consecutive semesters over 12 months. In addition to a non-thesis track, a Thesis Track is offered, which takes five semesters over 24 months. The courses include:

  • Probability
  • Applied statistics I
  • Algorithms for data analysis
  • Stochastic process with applications
  • Statistical Inference
  • Applied statistics II
  • Statistical learning theory
  • The analysis of large and high dimensional data sets
  • Statistical Consulting Project

Note: Internship/Statistical Practice may be included for outstanding students. For more details on the courses, please click here

Faculty

The faculty members of the Department of Statistics have broad international experience. Some were born outside of Israel, others have studied abroad and/or hold doctorate degrees from foreign universities. All of the faculty members either have been post-doctoral fellows or have held visiting positions at top universities in Europe, East Asia or the US. Our faculty members regularly publish research in the highly ranked international journals and lecture at the top conferences of the profession. 

The Head of the program, Professor Ori Davidov, has been a faculty member in Haifa since October 1999. Professor Davidov's research has been supported by the Israeli Science Foundation, the Binational Science Foundation, and the USA’s National Institute of Health. Professor Davidov has published the results of his research work in the top Academic Journals and has had the opportunity to present his research at numerous international venues. He has twenty years of teaching experience at the undergraduate and graduate level. Professor Davidov has taught courses in Israel, the United States, Europe, and Thailand and is an active participant in the Inter-European Network of researchers. In addition, professor Davidov has consulted pharmaceutical companies, venture capital, and software firms. 

A full list of faculty staff can be found here

Scholarships

Scholarships are available for exceptional applicants. International school may offer scholarships for early applicants. Learn about application deadlines here.

Information on other scholarships and financial aid can be found here.



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Established in 1983, the Department of Statistics at UBC is internationally renowned for its excellence in research and the high calibre of its faculty members. Read more

Established in 1983, the Department of Statistics at UBC is internationally renowned for its excellence in research and the high calibre of its faculty members. Our programs offers students different options for pursuing their interests and professional goals. We currently have programs at both the Masters and PhD levels. At the MSc level we offer a MSc in Statistics and a MSc in Statistics with a Biostatistics option (in collaboration with the School of Population and Public Health). Students can choose to do a thesis, a final project or an 8-month full-time Co-op placement (internship) outside the Department.

With appropriately selected courses during their MSc program, our students can prepare themselves for a successful career in biostatistics, bioinformatics / genomics, data mining, statistical computing, among others.

What makes the program unique?

The Department is renowned in Canada for its research excellence and its leadership in the research community. Students are engaged through both courses and research, and develop a strong set of skills, both applied and theoretical. The Department has always valued data driven research, consulting and collaboration, and has long held communication and computing skills as crucial for success. These values are apparent not only in individual faculty’s research programs but also in our undergraduate and graduate curriculum.

Graduate students participate actively in our research, teaching and consulting activities, and enjoy a wide variety of opportunities for interaction with other researchers and students on- and off-campus. These opportunities are facilitated by the involvement of our faculty members in various collaborative and interdisciplinary research projects. In addition, our graduate students run their own statistical consulting service, which provides them with professional (paid) experience even before they finish their program.

Career options

Our MSc program is flexible, and allows students to prepare themselves for a successful career in industry or the public sector, or to enter a PhD program. Former students looking for a job after graduation have been promptly offered employment in many different industries and government agencies, while those who wanted to pursue a PhD degree have been admitted to top-ranked schools. Please view a list of alumni and their first positions after graduation on our website.



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The Master of Science Degree in Applied Statistics brings together statistics, computer science, scientific research, and communication skills using the latest state-of -the-art technologies. Read more
The Master of Science Degree in Applied Statistics brings together statistics, computer science, scientific research, and communication skills using the latest state-of -the-art technologies. It prepares students for immediate employment in a variety of high-paying industry positions or doctoral study in applied statistics or a related field.

Applied statisticians are in high demand in the current high-technology economy. Our program emphasizes a flexible curriculum that allows a wide variety of concentrations of application, including biology, mathematics, computer science, psychology, health sciences, business, pharmaceutical product development, and other self-designed multi-disciplinary concentrations. The Program also offers paid internship opportunities and flexible class offerings allowing for both full-time and part-time students.

We encourage students from diverse academic backgrounds to consider our program. Due to the interdisciplinary nature of the program, various undergraduate majors and interests are eligible for admissions.

Curriculum

After admission to the program, students will be allowed to select the thesis or nonthesis track for the M.S. in applied statistics. The thesis option replaces one of the elective classes and STA 531 with a six-credit thesis, to be initiated after the completion of STA 504 or STA 505 and STA 506.

Core modules for non-thesis option:

STA 505 Mathematical Statistics I or STA 504 Mathematical Statistics I with Calculus Review
STA 506 Mathematical Statistics II
STA 507 Introduction to Categorical Data Analysis
STA 511 Intro Stat Computing & Data Management
STA 512 Principles of Experimental Analysis
STA 513 Intermediate Linear Models
STA 514 Modern Experimental Design
STA 531 Topics In Applied Statistics

PLUS

Select two, three-credit electives from a selected area of concentration or STA 601 and one additional three-credit elective from a selected area of concentration

Core modules for thesis option:

STA 505 Mathematical Statistics I or STA 504 Mathematical Statistics I with Calculus Review
STA 506 Mathematical Statistics II
STA 507 Introduction to Categorical Data Analysis
STA 511 Intro Stat Computing & Data Management
STA 512 Principles of Experimental Analysis
STA 513 Intermediate Linear Models
STA 514 Modern Experimental Design
STA 609 Thesis I
STA 610 Thesis II

PLUS

Select one three-credit elective from a selected area of concentration or STA 601

Please see the website for more detailed information about these modules:

http://catalog.wcupa.edu/general-information/index-course-prefix-guide/course-index/graduate/sta/

Statistics Institute

The West Chester Statistics Institute (WCSI) provides statistical support, analysis, and education on a short or long term basis on specific projects for the West Chester University community and for regional business, industry, and academic institutions. WCSI is a non-profit organization, committed to providing hands-on, supervised educational opportunities for current West Chester University Applied Statistics Graduate Students. For more information please visit the website:

https://wcupa.edu/sciences-mathematics/mathematics/gradstat/statisticsInstitute.aspx

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The Master of Science (MSc) is a two-year degree which encompasses both coursework and research. The first year involves mainly coursework and preliminary research preparation. Read more

The Master of Science (MSc) is a two-year degree which encompasses both coursework and research. The first year involves mainly coursework and preliminary research preparation. Students will have the opportunity to contribute to existing fields of research, or to begin to develop new areas.

The MSc can be studied in any of the subjects listed below, and may be taken by a combination of coursework and thesis, or by thesis only. Students who have a Bachelor's degree will complete the MSc by papers and thesis (at least two years of full-time study). Students who have an Honours degree or postgraduate diploma can complete the degree by thesis only (minimum of one year of study).

Subject areas

View the list of subjects offered for the Master of Science (MSc) and the Master of Applied Science (MAppSc).

Structure of the Programme

The degree may be awarded in any of the subjects listed above. With the approval of the Pro-Vice-Chancellor (Sciences) the degree may be awarded in a subject not listed above.

The programme of study shall be as prescribed for the subject concerned.

A candidate whose qualification for entry to the programme is the degree of Bachelor of Science with Honours or the Postgraduate Diploma in Science or equivalent may achieve the degree after a minimum of one year of further study, normally by completing a thesis or equivalent as prescribed in the MSc Schedule.

A candidate may be exempted from some of the prescribed papers on the basis of previous study.

A candidate shall, before commencing the investigation to be described in a thesis, secure the approval of the Head of the Department concerned for the topic, the supervisor(s), and the proposed course of the investigation.

A candidate may not present a thesis which has previously been accepted for another degree.

A candidate taking the degree by papers and thesis must pass both the papers and the thesis components.

For the thesis, the research should be of a kind that a diligent and competent student should complete within one year of full-time study.



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The Professional Development Certificates are intended for those who would like to obtain certification in the certain specific areas without having to undertake the preparatory work for a Master's degree. Read more
The Professional Development Certificates are intended for those who would like to obtain certification in the certain specific areas without having to undertake the preparatory work for a Master's degree.

The department of computer science offers a graduate certificate (consisting of four courses each) in Information Systems.

Students will select three or four of the following courses:

STA 511 Intro Stat Computing & Data Management
CSC 545 Database Systems Concepts
CSC 555 Software Engineering
CSC 582 Topics in Information Systems
CSC 586 Sytem Administration and Security

If only three courses are selected, one additional course will need to be selected from the list below:

CSC 520 Foundations of Computer Science
CSC 525 Operating Systems
CSC 530 Data Structures
CSC 535 Networks and Data Communication
CSC 540 Programming Languages
CSC 560 Analysis of Algorithms
CSC 565 Compiler Design
CSC 575 Artificial Intelligence
CSC 581 Topics in Computer Science
CSC 583 Topics in Computer Security
CSC 584 Topics in Web Technology
CSC 585 User Interface In Java
CSC 587 Web Services using XML and SOAP
CSC 588 Wireless Programming and Security
CSC 600 Advanced Seminar
CSC 603 Advanced Seminar in Security
CSC 604 Advanced Seminar Web Technology

Please visit the website for more information about these modules:

http://catalog.wcupa.edu/graduate/sciences-mathematics/computer-science/#coursestext

The Computer Science Information Security Centre

The Computer Science Information Security Center (ISC) recognizes that no computer science graduate should be without information security knowledge. Toward this end, the Computer Science Department has introduced Information Security content such as computer and network security across the undergraduate and graduate curricula.

The curricula set forth by the ISC has been certified by the NSA to meet the National Training Standards for Information Systems Security Professionals (4011) and Systems Administrators (4013).

Career Prospects

Program graduates are employed in the following fields:

• Computer and Information Systems Managers
• Computer and Information Research Scientists
• Software Developers, Systems Software
• Software Quality Assurance Engineers and Testers
• Web Administrators
• Computer Science Teachers, Postsecondary

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The Master of Science In Exercise and Sport Physiology is designed for individual’s knowledge, skills and abilities for working in adult fitness, cardiac rehabilitation and other clinical programs and to enrich academic preparation for graduate work beyond the master’s degree. Read more
The Master of Science In Exercise and Sport Physiology is designed for individual’s knowledge, skills and abilities for working in adult fitness, cardiac rehabilitation and other clinical programs and to enrich academic preparation for graduate work beyond the master’s degree. The MS in Exercise and Sport Physiology is a science based program of 33-34 credit hours depending on the student’s choice of a research report or thesis based program and choice of internship. The program curriculum includes basic research preparation (KIN 600 – Research Methods, KIN 601 statistical Design), advanced science based courses (KIN 572 - Advanced Motor Learning, KIN 585 - Biomechanics, etc.), areas of specialization (internship and electives upon advisement) and research (Thesis or Research Report).

Curriculum

Degree core:

EXS 572 Advanced Motor Learning
EXS 585 Biomechanics
EXS 600 Reserch Methods In Health, Phys Ed, Recreation
EXS 698 Research I
EXS 699 Research II
Intro Stat Computing & Data Management (recommended)

Concentration core:

EXS 681 Advanced Exercise Physiology
EXS 687 Applied Muscular Physiology
EXS 688 Applied Cardiovascular Physiology

Electives:

An additional six credit hours are required for the thesis track

KIN 608 Thesis Seminar
KIN 610 Thesis

Internship:

KIN 611 Intern Study I
KIN 612 Intern Study II

Internship experience may be required of students in the research report track who did not have comparable experience as an undergraduate and/or have no work experience in their chosen field of study.

Please visit the website for more detailed information about these modules:

http://catalog.wcupa.edu/graduate/health-sciences/kinesiology/#coursestext

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An MS in Exercise and Sport Physiology with a concentration in Athletic Training is available at West Chester University in a collaboration between the Departments of Kinesiology and Sports Medicine. Read more
An MS in Exercise and Sport Physiology with a concentration in Athletic Training is available at West Chester University in a collaboration between the Departments of Kinesiology and Sports Medicine. It is a 40 credit, 2 year degree program that mandates the completion of a Thesis. Coursework includes Cadaver Antomy, Orthopedic Surgical Techniques, Seminars in Sports Medicine, as well as Topics in Sports Medicine.

Curriculum

Degree core:

• EXS 600 Rsrch Methods In Hlth, Phys Ed, Recreat
• EXS 585 Biomechanics
• KIN 608 Thesis Seminar
• EXS 681 Advanced Exercise Physiology
• HEA 526 Biostatistics for Public Health or STA 511 Intro Stat Computing & Data Management
• EXS 698 Research I
• EXS 699 Research II

Concentration core:

• SMD 500 Human Cadaver Anatomy
• SMD 501 Human Cadaver Dissection
• SMD 505 Evidence Based Practice in Sports Medicine
• SMD 592 Seminar in Sports Medicine
• SMD 693 Selected Topics in Sports Medicine

Electives (choose two):

• NTD 503 Human Nutrition
• HEA 550 Evidence-Based Medicine and Public Health
• EXS 572 Advanced Motor Learning
• KIN 603 Professional Literature Seminar
• EXS 681 Advanced Exercise Physiology
• EXS 687 Applied Muscular Physiology
• EXS 688 Applied Cardiovascular Physiology
• EXS 691 Adv Clinical Exercise Testing & Prescrip
• SMD 595 Orthopaedic Surgical Techniques

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The M.S. in Applied and Computational Mathematics program is designed to prepare students to join the workforce as a consulting mathematician or to pursue doctoral study in computational and industrial mathematics or other computationally-intensive field of study. Read more
The M.S. in Applied and Computational Mathematics program is designed to prepare students to join the workforce as a consulting mathematician or to pursue doctoral study in computational and industrial mathematics or other computationally-intensive field of study. 

Distinctive features include:

• Project-oriented approach in all courses - real-world industrial problems motivate coursework
• Team problem-solving practica emulate an industrial microcosm in which undergrads, grads, faculty, and industrial partners work together to study real-world problems
• Dual emphasis is placed on computational mathematics in the study of all real-world projects in each course of the curriculum

Students who complete the proposed program will:

• Acquire advanced knowledge of a wide variety of topics that span the realm of applied mathematics, including differential equations, discrete mathematics, probabilistic modelling, optimisation and statistical analysis. 
• Become adept at employing all steps of the mathematical modelling process in the analysis of real-world phenomena.
• Acquire expertise in using various forms of technology and in using, modifying, and creating numerical algorithms used in the analysis of real-world phenomena,
• Develop the valuable intuition of using the right tool for the right job.

Curriculum

Required modules:

MAT 500 Fundamentals of Applied Mathematics
MAT 548 Industrial Mathematics - Continuous Models
MAT 549 Industrial Mathematics - Discrete Models
MAT 552 Operations Research
MAT 553 Stochastic Modelling
MAT 554 Scientific Computing
MAT 555 Industrial Practicum - Continuous Models
STA 505 Mathematical Statistics I
MAT 556 Industrial Practicum - Discrete Models
STA 511 Intro Stat Computing & Data Management

Electives:

One three-credit elective must be chosen from one of the following

MAT 514 Theory Of Numbers
MAT 515 Algebra I
MAT 516 Algebra II
MAT 532 Geometry I
MAT 533 Geometry II
MAT 535 Topology
MAT 545 Real Analysis I
MAT 546 Real Analysis II
MAT 575 Complex Analysis I

An additional three credit elective must be chosen from any 500-level mathematics or statistics course not completed from the above list.

Collaborators and Local Industry

Representatives from the private sector consisting of mathematicians and scientists from large companies such as Vanguard, and PrimePay; employees of up-and-coming software companies such as iPipeline; and representatives of small privately-owned consulting firms and hedge fund companies, such as Wagner Associates and TFS Capital were consulted in the creation of this program.  We are continually expanding our network of collaborators within the private sector, with our newest collaborator being Stroud Preserve in West Chester.

Vastly different types of mathematical problems are studied by the members of this group.  Many have agreed to contribute to this M.S. program by way of delivering colloquium talks about their experiences in industry, and by creating and investigating real-world problems in our practicum courses.

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The Certificate in Applied Statistics brings together statistics, computer science, scientific research, and communication skills using the latest state-of -the-art technologies. Read more
The Certificate in Applied Statistics brings together statistics, computer science, scientific research, and communication skills using the latest state-of -the-art technologies. It prepares students for immediate employment in a variety of high-paying industry positions or doctoral study in applied statistics or a related field.

Applied statisticians are in high demand in the current high-technology economy. Our program emphasizes a flexible curriculum that allows a wide variety of concentrations of application, including biology, mathematics, computer science, psychology, health sciences, business, pharmaceutical product development, and other self-designed multi-disciplinary concentrations. The Program also offers paid internship opportunities and flexible class offerings allowing for both full-time and part-time students.

We encourage students from diverse academic backgrounds to consider our program. Due to the interdisciplinary nature of the program, various undergraduate majors and interests are eligible for admissions.

Curriculum

If you wish to pursue your studies on a parttime basis or just learn some new skills, the Certificate Program in Applied Statistics is a viable and exciting option. This 19-credit hour program is a hands-on curriculum that will give you knowledge and experience in applying statistical and computational procedures to reallife problems. For instance, you will learn how to effectively design and analyze data from a clinical trial.

The Certificate Program offers a broad overview and introduction to application of statistical concepts to various research settings. This program emphasizes hands-on course work, rather than the internship opportunity and independent research option of the MSc.

Core modules:

• STA 507 Introduction to Categorical Data Analysis (3 credits)
• STA 511 Intro Stat Computing & Data Management (3 credits)
• STA 512 Principles of Experimental Analysis (4 credits)
• STA 514 Modern Experimental Design (3 credits)

Electives:

• Select two courses from a selected area of concentration (6 credits)

Please visit the website for more detailed information about these modules:

http://catalog.wcupa.edu/graduate/sciences-mathematics/mathematics/applied-statistics-certificate/

Careers

Program graduates are employed in the following fields:

• Natural Sciences Managers
• Clinical Research Coordinators
• Actuaries
• Statisticians
• Clinical Data Managers
• Survey Researchers
• Mathematical Science Teachers, Postsecondary

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