Information for students, faculty and staff regarding COVID-19. (Updated: 1 July 2020)
This one-year program offers broad and high-level training in both applied and computational statistics as well as in the foundations of statistical theory. You will gain solid knowledge in statistical methods and hone your skills to critically analyse and interpret data, and to communicate the results of your analysis. You can choose from elective courses in Statistics or Mathematical Statistics to tailor your degree. The program is offered by Umeå School of Business, Economics and Statistics.
"I think that the mix of courses, from theoretical to applied courses, was well balanced."
"The best thing is that I have a degree that guarantees interesting and relevant jobs in an area that I think is both fun and challenging."
"Causal inference is also part of the research profile at the department, so the content of the course was very up to date with where the research is at."
"To practice programming in statistical programming languages, mostly in R, over the course of several courses, has been most useful to me in my work life. "
During the first semester, you will learn statistical programming, a very important skill for a statistician or data scientist. The second half of the semester, you will learn how to infer the effects of treatments/interventions, both in randomized and observational (e.g., register based) studies when you take the course in causal inference. The teachers on this course are all recognized researchers within the field of causal inference. Parallel to these two courses, that are given on half-time, you tailor your degree by choosing among a selection of elective courses.
During the second semester, you will develop your writing, analysis and research skills through writing a master's thesis. The master's thesis course is given on half-time during the whole semester and parallel to this course you take optional courses.
Optional courses during the second semester can be a course in any subject, incl. Statistics and Mathematical Statistics, as long as you meet the eligibility requirements. Optional courses are applied for in open competition.
The choice of electives the first semester is made after a discussion with the program coordinator or the study advisor after you have received information about admission to the program. You are guaranteed a place on elective courses equivalent of full-time studies, but there is no guarantee of first choice. Moreover, some of the electives require specific Mathematics courses or proficiency in Swedish (if the course is given in Swedish), which might limit your choices. The elective courses available this year are listed below together with the required knowledge for entry.
During the first half of the semester, the following electives are offered: Probability Theory 2 (requires a course in basic calculus or equivalent knowledge), Multivariate Data Analysis (requires courses in basic calculus and linear algebra or equivalent knowledge), and Linear Algebra (requires proficiency in Swedish).
During the second half of the semester, these electives are offered: Big Data and high-dimensional data analysis, Inference Theory 2 (requires Probability Theory 2), Calculus for Engineers (requires proficiency in Swedish) and Linear Algebra (requires proficiency in Swedish) (video lectures).
All Mathematics courses offered are basic level courses given in Swedish.
Both elective and optional courses can be master's (advanced) or undergraduate (basic) level courses. Of the elective and optional courses, at least 15 Credits has to be advanced level courses to fulfil the degree requirements for a Master of Science (6o Credits).
Sustainability get a whole lot bigger attention in today's firms and organizations and we lifted these questions up early in our educational programs. Together with our students are we working for a more sustainable business school and to revise the courses to improve the education about, and for, sustainable development at the program. Our work on sustainability takes as a starting point the 17 sustainable development goals and Agenda 2030.
We are certified by the environmental management system ISO 14001 and we are members of the international networks GBSN, PRME and SDSN.
Programming in Statistics, 7.5 Credits
Causal inference, 7.5 Credits
Elective courses, 15 Credits
One Year Master Thesis in Statistics, 15 Credits
Optional courses, 15 Credits
Statisticians and data scientist are in high demand on the labour market. You can work in many different areas, both private and public. Examples on work places for statisticians include banks, government agencies, insurance companies, manufacturing companies, medical companies, opinion polling organizations, and research institutions. The programme also gives you eligibility to apply for doctoral studies.
Successful statisticians talk about why they studied statistics and why you should too.
No, none of those documents are required. If you send them anyway they will not be considered.Close
Optional courses during the second semester can be a course in any subject, at any level, as long as you meet the eligibility requirements. But, of the elective and optional courses, at least 15 Credits has to be advanced level courses to fulfil the degree requirements for a Master of Science (6o Credits). Thus, if you have taken a basic level course as elective during the fall semester, you have to take an advance level course during the spring.
Optional courses are applied for in open competition.
You can see all courses available in English at the whole university here:
If you have proficiency in Swedish, you can see all courses available in Swedish here:Close
You can find more information about the courses, e.g., the course syllabus, here:
Write the course name, e.g., "programming in statistics", and click Search.
If you have proficiency in Swedish and are considering an elective course given in Swedish you can find more information about the course by searching on the course name, e.g., "Linjär algebra", here:Close