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Syllabus:

Thesis Project for the Degree of Master of Science in Mathematical Statistics, 30 Credits

Swedish name: Examensarbete för masterexamen i matematisk statistik

This syllabus is valid: 2023-08-28 and until further notice

Course code: 5MS066

Credit points: 30

Education level: Second cycle

Main Field of Study and progress level: Mathematical Statistics: Second cycle, contains degree project for Master of Arts/Master of Science (120 credits)
Computational Science and Engineering: Second cycle, contains degree project for Master of Arts/Master of Science (120 credits)

Grading scale: Three-grade scale

Responsible department: Department of Mathematics and Mathematical Statistics

Established by: Faculty Board of Science and Technology, 2018-06-21

Revised by: Faculty Board of Science and Technology, 2023-03-09

Contents

In this course, the student is trained in specifying, planning, carrying out and presenting a thesis project with scientific qualities. The course builds on selected advanced courses in the subject, and treats topics more advanced than in standard courses in mathematics on an advanced level. The scientific method is treated, as regards ways of posing a research question, collecting, reading and analysing background materials, and presenting scope, limitations, methods, results and conclusions. The main part of the course consists in producing a written report with scientific qualities, which is then presented orally and in written form at a seminar. At the seminar, students critically evaluate each other's reports.

Expected learning outcomes

For a passing grade, the student must be able to

Knowledge and understanding

  • exhibit advanced knowledge of some area of mathematical statistics
  • exhibit broad knowledge of mathematical statistics, for instance by accounting for applications where the topic of the thesis project is relevant, or by framing the research question in a wider statistical perspective

Skills and abilities

  • with a high degree of independence plan and carry out a thesis project within specified timeframe
  • gather, select and analyse relevant scientific literature
  • orally and in a written report with scientific qualities communicate research questions, methods and results

Judgement and approach

  • critically and constructively evaluate another advanced level thesis project

Required Knowledge

The course requires 90 ECTS-credits of which 30 ECTS-credits at advanced level in Mathematical Statistics or equivalent and a Bachelor Thesis (minimum 15 ECTS). Proficiency in English equivalent to Swedish upper secondary course. Where the language of instruction is Swedish, applicants must prove proficiency in Swedish to the level required for basic eligibility for higher studies.
 

Form of instruction

The mode of teaching on the course consists in individual supervision. At the end of the course, students critially evaluate each other's thesis project reports in seminar form.

Examination modes

Examination on this course consists of three parts: Critical evaluation of another thesis project report, defense of one's own thesis project report, and the written thesis project report itself. For the critical evaluation and defense, one of the grades Fail (U) or Pass (G) is given. For the written thesis project report, one of the grades Fail (U), Pass (G) or Pass with distinction (VG) is given. If all parts of the examination have been given a passing grade, the final grade on the course, Pass (G) or Pass with distinction (VG) is decided by the grade for the written thesis project report.

A student who has been awarded a passing grade for the course cannot be reassessed for a higher grade. Students who do not pass a test or examination on the original date are given another date to retake the examination. A student who has sat two examinations for a course or a part of a course, without passing either examination, has the right to have another examiner appointed, provided there are no specific reasons for not doing so (Chapter 6, Section 22, HEO). The request for a new examiner is made to the Head of the Department of Mathematics and Mathematical Statistics. Examinations based on this course syllabus are guaranteed to be offered for two years after the date of the student's first registration for the course.

Examiners may decide to deviate from the modes of assessment in the course syllabus. Individual adaption of modes of assessment must give due consideration to the student's needs. The adaption of modes of assessment must remain within the framework of the intended learning outcomes in the course syllabus. Students who require an adapted examination must submit a request to the department holding the course no later than 10 days before the examination. The examiner decides on the adaption of the examination, after which the student will be notified.

Credit transfer
All students have the right to have their previous education or equivalent, and  their working life experience evaluated for possible consideration in the corresponding education at Umeå university. Application forms should be adressed to Student services/Degree evaluation office. More information regarding credit transfer can be found on the student web pages of Umeå university, http://www.student.umu.se, and in the Higher Education Ordinance (chapter 6). If denied, the application can be appealed (as per the Higher Education Ordinance, chapter 12) to Överklagandenämnden för högskolan. This includes partially denied applications

Other regulations

The course can also be included in the subject area of computational science and engineering. 



In the event that the syllabus ceases to apply or undergoes major changes, students are guaranteed at least three examinations (including the regular examination opportunity) according to the regulations in the syllabus that the student was originally registered on for a period of a maximum of two years from the time that the previous syllabus ceased to apply or that the course ended.

Literature

The literature list is not available through the web. Please contact the faculty.