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SYLLABUS
Master Thesis in Statistics, 30 ECTS Credits
 
COURSE CATEGORY   Master´s Programme in Statistics and Data Mining
MAIN FIELD OF STUDY   Statistic - STA
SUBJECT AREA   Statistics – ST1
  COURSE CODE   732A64
AIM OF THE COURSE
After completion of the course, the student should be able to:
- put a data analysis or methodological problem proposed by a client into a scientific context
- select suitable approaches or techniques for the requested data analysis or method development
- structure the given task into work packages
- carry out an advanced data analysis or improve the methods for such an analysis
- compile a scientific report based on the problem addressed and the obtained results
- critically assess scientific reports written by other scientists or students.
CONTENTS
The course aim is to increase the student’s ability to formulate, plan, carry out and report major tasks in advanced data analysis. The content of the course is adapted to the problem addressed. Normally, this implies that data analysis is employed to address a problem proposed by an external organization or a research team. The initial phase of the course aims to:
(i) make the study objective precise,
(ii) compile and orally present a literature survey, and
(iii) propose methods for data analysis or development of methods.

Thereafter, the course proceeds with examination and evaluation of the collected data, implementation of relevant procedures for data analysis, and interpretation of the obtained results. In parallel, a master’s thesis is compiled.
TEACHING
The course is based on individual work with regular access to supervision, individually or in groups of students. Regular contacts with external organizations or research teams provide additional feedback. Language of instruction: English.
EXAMINATION
Oral and written presentations of an analysis of large or complex data or improvements of a method used to analyse such data.
The written presentation, the master’s thesis, shall have the format of a scientific report with a literature survey, documentation of the methods used, presentation of the results obtained, and a critical discussion of conclusions drawn in the report.
Oral presentations are made during the course. The first oral presentation shall be focused on problem formulations, work plan and scientific approaches. The final oral presentation comprises a public defense of the thesis and opposition on another master’s thesis.

Students failing an exam covering either the entire course or part of the course twice are entitled to have a new examiner appointed for the reexamination.

Students who have passed an examination may not retake it in order to improve their grades.
ADMISSION REQUIREMENTS

Students entering the course shall have passed 65 ECTS of the programme courses including all obligatory courses in the programme.
GRADING
The course is graded according to the ECTS grading scale A-F
CERTIFICATE
Course certificate is issued by the Faculty Board on request. The Department provides a special form which should be submitted to the Student Affairs Division.
COURSE LITERATURE
The course literature is decided upon by the department in question.
OTHER INFORMATION
Planning and implementation of a course must take its starting point in the wording of the syllabus. The course evaluation included in each course must therefore take up the question how well the course agrees with the syllabus.

The course is carried out in such a way that both men´s and women´s experience and knowledge is made visible and developed.
 
Master Thesis in Statistics
Masteruppsats i statistik
 
Department responsible
for the course or equivalent:
IDA - Department of Computer and Information Science
           
Registrar No: 2015-01422   Course Code: 732A64      
    Exam codes: see Local Computer System      
Subject/Subject Area : Statistic - STA          
           
Level   Education level     Subject Area Code   Field of Education  
A1X   Advanced level       TE  
The syllabus was approved by the Board of Faculty of Arts and Science 2017-01-15