Syllabus for Essay/Research Paper in Statistics

Magisteruppsats i statistik

  • 15 credits
  • Course code: 2ST117
  • Education cycle: Second cycle
  • Main field(s) of study and in-depth level: Statistics A1E

    Explanation of codes

    The code indicates the education cycle and in-depth level of the course in relation to other courses within the same main field of study according to the requirements for general degrees:

    First cycle

    • G1N: has only upper-secondary level entry requirements
    • G1F: has less than 60 credits in first-cycle course/s as entry requirements
    • G1E: contains specially designed degree project for Higher Education Diploma
    • G2F: has at least 60 credits in first-cycle course/s as entry requirements
    • G2E: has at least 60 credits in first-cycle course/s as entry requirements, contains degree project for Bachelor of Arts/Bachelor of Science
    • GXX: in-depth level of the course cannot be classified

    Second cycle

    • A1N: has only first-cycle course/s as entry requirements
    • A1F: has second-cycle course/s as entry requirements
    • A1E: contains degree project for Master of Arts/Master of Science (60 credits)
    • A2E: contains degree project for Master of Arts/Master of Science (120 credits)
    • AXX: in-depth level of the course cannot be classified

  • Grading system: Fail (U), Pass (G), Pass with distinction (VG)
  • Established: 2012-06-08
  • Established by:
  • Revised: 2021-09-09
  • Revised by: The Department Board
  • Applies from: week 03, 2022
  • Entry requirements: 15 credits in statistics at Master's level
  • Responsible department: Department of Statistics

Learning outcomes

Upon completion of the course, students shall be able to:

  • formulate a statistical problem
  • independently immerse themselves in a statistical problem
  • in written form explain and describe the statistical problem, methods used, and results
  • present, actively defend, and discuss their own thesis
  • review scientific work

Content

The thesis work goes through a number of steps in accordance with a specified schedule. The students are to write their theses individually. The students shall, independently of each other, find, clearly define, and analyse one or more statistical problems. This includes problematisation, discussions on choice of methods and models, possible collection of data, oral and written presentation.

The progression of the thesis will be presented by the students at several mandatory seminars. On these occasions also literature and plagiarism will be discussed. At the end of the course there is a seminar with presentations and opposition of theses.

Compulsory participation in the scientific seminars given at the Department of Statistics.

More detailed information is given in the course schedule.

Instruction

Teaching is given in form of mandatory seminars and individual supervision. Supervision is only provided during the time the course is in progress.

Assessment

The thesis is graded in its entirety by the examiner in consultation with the supervisor. The assessment of the thesis is based on the extent to which the intended learning outcomes are achieved.

"If there are special reasons for doing so, an examiner may make an exception from the method of assessment indicated and allow a student to be assessed by another method. An example of special reasons might be a certificate regarding special pedagogical support from the University's disability coordinator."

Reading list

The reading list is missing. For further information, please contact the responsible department.