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Statistics

Uppsala University

Faculty of Social Sciences
Application Deadline: January 16
Annual Tuition Fee: Free - ≈ € 9,800 (non-EEA)
Location: Uppsala / Sweden / View location on map ▾ Hide location on map ▴
Duration: 24 months Start Date: August
Educational Form:
  • Taught
Education Variants:
  • Fulltime
Credits (ECTS): 120
Languages: English 
17.63762,59.846098

Location of Uppsala University

The Master Programme in Statistics at Uppsala University gives a solid foundation in statistical theory and a deeper knowledge in areas such as econometrics, psychometrics and biostatistics. This provides very good skills to critically analyze and interpret data from various application areas. With a degree from this programme you are well prepared and in demand for work in both the private and public sectors and for further studies in research education.

Statistics are used daily in all areas of society and statistics as a science involves the study of methods used to draw conclusions about difficult problems. Examples of questions that can be answered with statistical methods are:

  • What is the impact of new medical treatments and how strong is this effect?
  • How many are unemployed? What actions affect unemployment and how much?
  • Will the repo rate go up or down within a certain time period?

As a statistician you usually work close to subject specialists in a variety of areas and the statistician´s role is to have knowledge of how data are collected, analyzed and interpreted. The work as a statistician also includes method development, which is to improve existing or develop new methods. With a masters degree in Statistics, you get a good base to work with the above tasks.


Contents

Statistics is both a formal science and a practical approach, and both aspects are taken into account in the education. The goal of The Master Programme in Statistics is to prepare students well for skilled jobs, and for continuing graduate studies.

The programme begins with courses in Probability and Inference. These will consolidate and deepen the theoretical understanding of randomness and how to draw conclusions from data that contains random variation. For students who desire a more theoretical training and are interested in methodology, there are in the programme the opportunity to further deepen the theoretical knowledge through additional courses, for example, Asymptotic Theory and Bayesian Methods. The theory-oriented courses will provide a strong foundation in basic statistical theory that is then used in the more applied courses.

In the applied courses, the student will learn how to use statistical tecniques to deal with important real world problems. Obtained skills are collecting, processing and analyzing data, interpreting and presenting results and empirical models. There are some opportunity to specialize depending on interest because the courses span several areas such as biostatistics, econometrics, and structural equation models.

Examples of courses offered are:

  • Econometrics
  • Epidemiology
  • Generalized Linear Models
  • Non-parametric Methods
  • Planning and Analysis of Clinical Trials
  • Statistical Programming in R
  • Structural Equation Models
  • Repeated Measurements
  • Survival Analysis

For example, the course in econometrics deals with statistical methods for the analysis of economic data and the estimation of theoretical economic models. Based on this analysis, relevant questions can be answered, e.g. what is the effect of a tax change, what is the return on education, etc. In the course survival analysis, you will learn how to estimate the effect of a new medicine on survival time. These methods are moreover the same that are used to see the effects of labor market policies on how long a person is unemployed. A good example of how useful statistical methods are in general!

The Master Programme in Statistics is an international education and is taught in English. The type of instruction is mainly in the form of lectures, seminars and tutorials with elements of assignments. Examination of the courses is in the form of written tests, assignments and seminars. The grades are Pass and Pass with distinction.

The Master Programme in Statistics prepares students for a successful career, both nationally and internationally. Statisticians are in demand on the labor market and by its methodological breadth the The Master Programme in Statistics offer students very good opportunities for employment in a variety of areas, both private and public. Amongst private employers, positions for statisticians are often found in the financial sector (banks, insurance, etc.), biomedical companies, research companies, opinion polling organizations and associations, while qualified statisticians in the public sector often work as analysts and investigators. It is also common as a statistician to work in research institutions.

The education also provides eligibility for graduate studies in statistics.

You are normally required to take an English Proficiency Test if you come from a non-English speaking country.

Most European Universities recognise the IELTS test.

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Requirements

A bachelor degree equivalent to a Swedish degree of at least 180 credits, (i.e. three years of full-time studies), including at least 90 credits of studies in statistics, or the equivalent.

Proficiency in English is also required. This is normally attested by means of an internationally recognised test such as TOEFL or IELTS.

Selection: Selection will be based on previous academic studies and degrees with emphasis on grades in relevant fields and degree project (if any), a summary in English (1–2 pages) of a previous degree project (if any), and a statement of intent (1–2 pages).

Additional Requirements

Minimal degree required: Bachelor's degree
Minimal amount of work experience Not specified

Language Proficiency

IELTS Band: 6.5
TOEFL Paper-based: 575
TOEFL Internet-based: 90

Accreditation

Uppsala University is accredited by the Swedish National Agencyof Higher Education

Funding details

Uppsala University offers a few scholarships to cover the tuition fee. Read more on www.uu.se/scholarships.


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To: Johan Lyhagen
MastersPortal.eu - Finds the Masters for you!
 

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