Swedish name: Masteruppsats i statistik
This syllabus is valid: 2010-01-18 valid to 2010-07-04 (newer version of the syllabus exists)
Course code: 2ST023
Credit points: 30
Education level: Second cycle
Main Field of Study and progress level:
Statistics: Second cycle, contains degree project for Master of Arts/Master of Science (120 credits)
Grading scale: Pass with distinction, Pass, Fail
Responsible department: Department of Statistics
The purpose is to give the student opportunities to increase his/her knowledge in and to give an application of statistical methodology and one or more statistical techniques. The thesis work can be performed independently or in groups of two persons. It shall be published in a written report and may be based on; - active collaboration in a research program, - performing or making a critical review of a statistical investigation or, - performing a statistical consultation. The thesis may be completely detached from or a continuation and expansion of a C-level (B.Sc.) or a one year master thesis (magister) in statistics.
- to give to the student a deeper understanding of central parts of statistical theory, - to give to the student a broader knowledge about statistical models, methods and techniques, - to increase the student's ability of using statistical models, methods and techniques in an independent and critical manner.
Univ: 30 ECTS advanced level in in statistics or equivalent. English proficiency equivalent to IELTS Academic Training minimum score 5.0 with no individual score below 4.5 (Tests taken before January 2005 not admissible or TOEFL minimum score 500 on paper based test and not below 4.0 on the TWE, Alternatively 173 on computer based test with iBT61 is also required as well as basic entrance requirements for higher studies in Swedish language proficiency if the course is taught in Swedish.
A supervisor is appointed and the thesis work is planned and carried out after consultation with the supervisor.
The grading system consists of the three grades; Fail, Pass and Pass with distinction. For passing the course, the student should show a satisfactory ability in using statistical methods and techniques, and to present problems and results in an appropriate manner. The thesis must be presented and defended at a public seminar. An opponent is appointed by the teacher responsible for the course. The mark is decided by the examinator. For the mark Pass it is also required that the student has been active as opponent of a master thesis.
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