autumn 2021
REI-3016 Quantitative methods - 5 ECTS

Application deadline

Applicants from Nordic countries: 1 June for the autumn semester and 1 December for the spring semester.

Exchange students and Fulbright students: 1 October for the spring semester and 15 April for the autumn semester.


Type of course

The course is mandatory for the achievement of a Master of Tourism Studies degree. It is open for other students with a Bachelor's degree.

Admission requirements

Applicants must have a bachelor's degree (180 ECTS), or an equivalent qualification, with a minimum of 80 ECTS within tourism, out-door recreation, event studies, marketing and communication, social sciences, humanities or education. Applicants must have a minimum of 5 ECTS in research methods to fulfil the admission requirements.

Applicants who hold a bachelor's degree or equicalent issued in Nordic countries, Europe, Canada, USA, Australia and New Zealand: An average grade strong C is a minimum requirement.

Applicants who hold a bachelor's degree or equivalent issued in countries other than the above mentioned region/countries: An average grade B is a minimum requirement in addition to fulfilling formal admission requirements for Master's level entry.

The average grade is calculated from the entire bachelor´s degree.

Non-EU applicants need to have a Higher Education Entrance Qualification from their home countries and certified fulfilment of English language requirements.

Application code: 9731 (nordic applicants)


Course content

This course will provide insights into the application of quantitative methods in social research in general and tourism studies in particular. The course will provide the student with the necessary skills to carry out a small-scale study using quantitative data.

Objectives of the course

Students should obtain the following learning outcomes:

Knowledge: the student should have

  • an in-depth knowledge of how to develop quantitative research questions
  • an in-depth knowledge of how to collect and analyze quantitative data
  • an in-depth knowledge of the ethical aspects of the quantitative research process

Skills: the student should be able to

  • plan and design a minor research project using quantitative data
  • collect and analyze quantitative data
  • use statistical software to analyze quantitative data
  • write up and report social research using quantitative data

Competence: the student should be able to

  • critically reflect on the use of quantitative research in the social sciences
  • explain ethical considerations associated with the conduct of quantitative social research and the use of quantitative research results
  • apply the principles of academic integrity and practices


Language of instruction and examination

English

Teaching methods

Lectures will be given in an intensive mode (classes given in blocks) in autumn semester only. Students are expected to work 140 hours.

Teaching will consist of eight lectures (3x45), which include student involvement in classroom discussions, group and individual tasks and exercises with PC software.

 

The course will be evaluated in accordance with the quality systems of UiT - The Arctic University of Norway.


Assessment

Coursework: the following coursework requirements must be completed and approved in order to take the final exam

  • 70% attendance in the lectures
  • 4-6 approved hand-in of assignments. The exact number will be announced at the beginning of the course

Exam: the exam will consist of

  • one home exam, 3 days
  • Since the paper will include lots of output from a statistical program, there is to specific length requirement for the exam.
  • Style: Times New Roman font size 12, 1.5 line spacing, 3.5 centimetres margins, and including page numbers.

The exam will be assessed on an A-F grades scale. Grades are A-E for passed and F for failed.

A re-sit exam will be arranged for this course.


Recommended reading/syllabus

Pensumliste for REI-3016 Quantitative methods
  • About the course
  • Campus: Alta |
  • ECTS: 5
  • Course code: REI-3016
  • Tidligere år og semester for dette emnet