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Programme syllabus:

Master's Programme in Mathematical Statistics, 120 Credits

Swedish name: Masterprogrammet i matematisk statistik

This programme syllabus is valid: HT22 and until further notice

Programme code: TAMSM

Credit points: 120

Registration number: FS 3.1.3-362-19

Responsible faculty: Faculty of Science and Technology

Established by: Faculty Board of Science and Technology, 2019-07-02

Revised by: Faculty Board of Science and Technology, 2022-02-14

Entry Requirements

A Bachelor's degree or equivalent first-cycle qualification comprising of at least 180 ECTS or a corresponding qualification from an internationally recognised university. Specific entry requirements are at least 30 ECTS in Mathematics, at least 15 ECTS in Mathematical Statistics, and at least 7,5 ECTS in Programming Methodology, or equivalent. Proficiency in English equivalent to Swedish upper secondary course English B/6.

Degree

After a completed programme of 120 credits, or 60 credits, the student can apply for and obtain a Degree of Master of Science (120 credits) or a Degree of Master of Science (60 credits) in accordance with local qualification descriptor established by the Vice-Chancellor, see https://www.umu.se/student/mina-studier/examen/krav-och-huvudomraden/examensbeskrivningar.
In Swedish, Degree of Master of Science (60 credits) and Degree of Master of Science (120 credits) are called Filosofie magisterexamen and Filosofie masterexamen, respectively. The degree is awarded in the main field of study (Mathematical Statistics).

Description of the education for current education cycle

The education is at an advanced level (second cycle). The aims for second-cycle courses and study programmes are set out in the Higher Education Act, Chapter 1 Section 9. Second-cycle courses and study programmes shall involve the acquisition of specialist knowledge, competence and skills in relation to first-cycle courses and study programmes, and in addition to the requirements for first-cycle courses and study programmes shall:

  • further develop the ability of students to integrate and make autonomous use of their knowledge,
  • develop the students' ability to deal with complex phenomena, issues and situations, and
  • develop the students' potential for professional activities that demand considerable autonomy, or for research and development work.National goals for current degree.

National goals for current degree

The national aims for qualification are set out in the Higher Education Ordinance's Annex 2.

Degree of Master of Science (60 credits)

Knowledge and understanding
For a Degree of Master (60 credits) the student shall

  • demonstrate knowledge and understanding in the main field of study, including both an overview of the field and specialised knowledge in certain areas of the field as well as insight into current research and development work, and
  • demonstrate specialised methodological knowledge in the main field of study.

Competence and skills
For a Degree of Master (60 credits) the student shall
  • demonstrate the ability to integrate knowledge and analyse, assess and deal with complex phenomena, issues and situations even with limited information,
  • demonstrate the ability to identify and formulate issues autonomously as well as to plan and, using appropriate methods, undertake advanced tasks within predetermined time frames,
  • demonstrate the ability in speech and writing to report clearly and discuss his or her conclusions and the knowledge and arguments on which they are based in dialogue with different audiences, and
  • demonstrate the skills required for participation in research and development work or employment in some other qualified capacity.

Judgement and approach
For a Degree of Master (60 credits) the student shall
  • demonstrate the ability to make assessments in the main field of study informed by relevant disciplinary, social and ethical issues and also to demonstrate awareness of ethical aspects of research and development work,
  • demonstrate insight into the possibilities and limitations of research, its role in society and the responsibility of the individual for how it is used, and
  • demonstrate the ability to identify the personal need for further knowledge and take responsibility for his or her ongoing learning.

Degree of Master of Science (120 credits)

Knowledge and understanding
For a Degree of Master (120 credits) the student shall
  • demonstrate knowledge and understanding in the main field of study, including both broad knowledge of the field and a considerable degree of specialised knowledge in certain areas of the field as well as insight into current research and development work, and
  • demonstrate specialised methodological knowledge in the main field of study. 

Competence and skills
For a Degree of Master (120 credits) the student shall
  • demonstrate the ability to critically and systematically integrate knowledge and analyse, assess and deal with complex phenomena, issues and situations even with limited information,
  • demonstrate the ability to identify and formulate issues critically, autonomously and creatively as well as to plan and, using appropriate methods, undertake advanced tasks within predetermined time frames and so contribute to the formation of knowledge as well as the ability to evaluate this work,
  • demonstrate the ability in speech and writing both nationally and internationally to clearly report and discuss his or her conclusions and the knowledge and arguments on which they are based in dialogue with different audiences, and
  • demonstrate the skills required for participation in research and development work or autonomous employment in some other qualified capacity. 

Judgement and approach
For a Degree of Master (120 credits) the student shall
  • demonstrate the ability to make assessments in the main field of study informed by relevant disciplinary, social and ethical issues and also to demonstrate awareness of ethical aspects of research and development work,
  • demonstrate insight into the possibilities and limitations of research, its role in society and the responsibility of the individual for how it is used, and
  • demonstrate the ability to identify the personal need for further knowledge and take responsibility for his or her ongoing learning.

Examination format

Each syllabus sets out the examination formats used in each individual course.

Grades

Each syllabus sets out the grades used in the course.

Transfer of Credits

A student who believes to have gained knowledge from previous relevant studies or professional experience that may be equivalent to a course or part of a course in the programme can apply for transfer of credits. Granting a transfer of credits means that the student will not have to study one or more courses or part of a course in the programme included in the decision. Information on transfer of credits is available on Umeå University's website.

General

Requirements for a Degree of Master of Science (60 credits) in Mathematical Statistics at Umeå University
Degree is awarded once the student has completed the course requirements of 60 credits, of which at least 45 credits on a second-cycle level. Within the completed courses on a second-cycle level, at least 30 credits shall cover the main field of study, Mathematical Statistics. In addition, a Degree of Bachelor of at least 180 credits or equivalent foreign qualification is required. For this qualification, the student shall, within the scope of the course requirements, have completed an independent project (degree project) of at least 15 credits at a second-cycle level in the main field of study, Mathematical Statistics. 

Requirements for a Degree of Master of Science (120 credits) in Mathematical Statistics at Umeå University
Degree is awarded once the student has completed the course requirements of 120 credits, of which at least 90 credits on a second-cycle level. Within the completed courses at a second-cycle level, at least 60 credits shall cover the main field of study, Mathematical Statistics. In addition, a Degree of Bachelor of at least 180 credits or equivalent foreign qualification is required. For this qualification, the student shall, within the scope of the course requirements, have completed an independent project (degree project) of at least 30 credits at a second-cycle level in the main field of study, Mathematical Statistics. The degree project may be replaced by a degree project of at least 15 credits if the student has already completed an individual assignment at a second-cycle level of at least 15 credits in the main field of study covered by the qualification and this work also shall be included in the qualification.

Compulsory courses
Compulsory courses are courses that all students enrolled in the programme normally study. A student enrolled in the study programme is guaranteed a seat in all compulsory courses, provided that the entry requirements for the course in question are met. Entry requirements are set out in each respective course syllabus.

Compulsory courses at a second-cycle level in Mathematical Statistics
5MS062 Big Data and high-dimensional data analysis, 7.5 credits
5MS071 Design of Experiments and Advanced Statistical Modelling, 15 credits
5MS058 Inference Theory 2, 7.5 credits
5MS056 Multivariate Data Analysis, 7.5 credits
5MS073 Probability Theory, 7.5 credits
5MA200 Research in the Mathematical Sciences, 7.5 credits
5MS059 Statistical in Genetics, 7.5 credits
5MS065 Stochastic Processes, 7.5 credits
5MS072 Time Series Analysis and Spatial Statistics, 7.5 credits

Compulsory courses at a second-cycle level in Statistics
2ST035 Programming in Statistics, 7.5 credits
2ST054 Causal Inference, 7.5 credits
 
Degree projects

5MS074 Thesis Project for the Degree of Master of Science in Mathematical Statistics, 15 credits
5MS066 Thesis Project for the Degree of Master of Science in Mathematical Statistics, 30 credits

Optional courses
Optional courses within the programme are applied for in open competition. Optional courses can be studied at Umeå University or at other higher education institutions in Sweden or abroad.

Students on the programme may in some cases substitute optional courses in for programme courses in consultation with the programme head.

Programme overview
The courses included in the programme are listed under the heading 'Study Plan' in the order they are studied.

Degree project/independent project
The degree project concludes the programme and may be started once the entry requirements in the course syllabus are met. In the degree project, comprising 30 credits for a Degree of Master (120 credits) or 15 credits for a Degree of Master (60 credits), the student shall apply the knowledge acquired during their studies and present the result orally and in a written report/thesis. The work shall include some form of subject-specific specialisation within the field. The degree project is usually completed individually. However, it is also occasionally permitted for two students to cooperate on a degree project. The degree project can advantageously be completed in cooperation with the business world. If so, a client supervisor shall be appointed and act as the student's day-to-day contact and support during the course of the work. A thesis supervisor at the university shall always be appointed and be responsible for ensuring that the required subject specialisation is achieved. The report shall be linguistically and stylistically designed to ensure its quality is equivalent to reports published within the university and the industry. The report shall include an English abstract and an English translation of the title. Alternatively, the report may be written in Swedish and shall then include an English abstract and an English translation of the title.

Deferment of studies

Information on deferment of studies is available on Umeå University's website.

Approved leave from studies

Information on approved leave from studies is available on Umeå University's website.

Discontinuation

Information on discontinuation is available on Umeå University's website.

Outline

Valid from: HT22

Master's programme in Mathematical Statistics (two year)
Fall Year 1, Periods 1-2 Research in the Mathematical Sciences 5MA200 Probability Theory
5MS073
Fall Year 1, Periods 3-4 Big Data and high-dimensional data analysis
5MS062
Stochastic Processes 
5MS065
OR
Inference Theory
5MS058
Spring Year 1, Periods 1-2 Time Series Analysis and Spatial Statistics
5MS072
Statistics in Genetics
5MS059
Spring Year 1, Periods 3-4 Design of Experiments and Advanced Statistical  Modelling
5MS071
Fall Year 2, Periods 1-2 Multivariate Data Analysis
5MS056
Programming in Statistics
2ST035
Fall Year 2, Periods 3-4 Inference Theory 2
5MS058
OR
Stochastic Processes
5MS065
Causal inference
2ST054
Spring Year 2 Thesis Project for the Degree of Master of Science in Mathematical Statistics
5MS066
 
Master's programme in Mathematical Statistics (one year)
Fall Year 1, Periods 1-2 Research in the Mathematical Sciences 5MA200 Programming in Statistics
2ST035 
OR
Probability Theory
5MS073
Fall Year 1, Periods 3-4 Big Data and high-dimensional data analysis
5MS062
Stochastic Processes 
5MS065
OR
Inference Theory
5MS058
OR
Causal Inference 2ST054
Spring Year 1, Periods 1-2 Time Series Analysis and Spatial Statistics
5MS072
Statistics in Genetics
5MS059
Spring Year 1, Periods 3-4 Thesis Project for the Degree of Master of Science (one year) in Mathematical Statistics
5MS074