Pursuant to consolidation Act 391 of April 10, 2024 on Universities (the University Act), the following is established.
The programme also follows the Examination Policies and Procedures incl. the Joint Programme Regulations for Aalborg University.
The Professional Master’s Degree programme is organised in accordance with the Ministry of Higher Education and Science’s Order no. 19 of January 9, 2020 on Professional Master’s Degree Programmes, Ministerial Order no. 2272 of December 1, 2021 on Part-time University Programmes (the Part-Time Order) with subsequent change, and Ministerial Order no. 2271 of December 1, 2021 on University Examinations (the Examination Order) with subsequent change. Further reference is made to Ministerial Order no. 1125 of July 4, 2022 (the Grading Scale Order).
The programme is offered in Aalborg.
The Master’s programme falls under The Faculty of Engineering and Science, Aalborg University.
The Master’s programme falls under Study Board of Mathematical Sciences.
The Master’s programme is associated with the external examiners corps on Civil engineering corps of external examiners.
Admission to the master programme requires that the applicant has completed a relevant qualifying programme.
Relevant qualifying programmes are:
Furthermore, admission requires that the applicant has 2 years of relevant work experience after completion of the qualifying programme.
Relevant work experience includes, e.g., tasks witin:
Aalborg University may allow admission to applicants who do not fulfil the admission requirements but who are considered to have the necessary prerequisites to accomplish the study programme. The requirement of relevant professional experience cannot be exempted.
The Master’s programme entitles the graduate to the Danish designation Master i anvendt statistik. The English designation is: Master of Applied Statistics.
The Master’s programme is a 2-year, research-based, part-time study programme. The programme is set to 60 ECTS credits.
The Study Board can approve that passed programme elements from other educational programmes at the same level replaces programme elements within this programme (credit transfer).
Furthermore, the Study Board can, upon application, approve that parts of this programme is completed at another university or a further education institution in Denmark or abroad (pre-approval of credit transfer).
The Study Board’s decisions regarding credit transfer are based on an academic assessment.
The Study Board’s possibilities to grant exemption, including exemption to further examination attempts and special examination conditions, are stated in the Examination Policies and Procedures published at this website: https://www.studyservice.aau.dk/rules
The rules for examinations are stated in the Examination Policies and Procedures published at this website:https://www.studyservice.aau.dk/rules
The Study Board may determine whether, and to what extent, a student's language proficiency is included in the assessment of an individual exam.
Spelling and writing skills are always a part of the assessment of final exams (bachelor’s project, final project, and master’s thesis).
The evaluation is based on an overall assessment, meaning that the student's language proficiency in final exams is assessed both in the written project report and during the oral examination.
The Study Board may, in special cases (e.g., in cases of dyslexia or if the student's native language is not Danish), grant an exemption from the requirement that spelling and writing skills be included in the assessment, unless these skills are an essential part of the exam’s objectives.
The master’s thesis must include an English summary. If the project is written in English, the summary can be in Danish. The summary is included in the evaluation of the project as a whole.
It is assumed that the student can read academic texts in Scandinavian languages as well as in English and use reference works etc. in other European languages.
Furthermore, it is assumed that the student has written and oral command of English, sufficient to participate in online group discussions.
A Master has competencies that have been acquired through a course of study based on an integration of research results and practical experience.
A Master is able to fulfil highly qualified functions in business, institutions and the like, through scholarship-based personal and academic competencies.
Applied statistics is understood in a broad sense and also includes machine learning, AI, data science, and programming.
Knowledge:
Skills:
Competences:
The programme is structured in modules and organised as a problem-based study. A module is a programme element or a group of programme elements, which aims to give students a set of professional skills within a fixed time frame specified in ECTS credits, and concluding with one or more examinations within specific exam periods. Examinations are defined in the curriculum.
The programme is based on a combination of academic, problem-oriented and interdisciplinary approaches and organised based on the following work and evaluation methods that combine skills and reflection:
Offered as:
1-professional | ||||||
| Module name | Course type | ECTS | Applied grading scale | Evaluation method | Assessment method | Language |
1 Semester
| ||||||
|
Programming for Data Wrangling and Visualisation
(26MASDATAWC1) | Course | 5 | Passed/Not Passed | Internal examination | Oral exam | English |
|
Introduction to Statistics
(26MASSTATSC2) | Course | 5 | 7-point grading scale | Internal examination | Oral exam | English |
|
Introduction to AI Techniques
(26MASAITECC3) | Course | 5 | Passed/Not Passed | Internal examination | Oral exam | English |
2 Semester
| ||||||
| Elective projects | Projekt | 15 | ||||
3 Semester
| ||||||
|
Advanced Data Wrangling and Interactive Visualisation
(26MASADWIVC4) | Course | 5 | 7-point grading scale | Internal examination | Oral exam | English |
|
Advanced Statistics
(26MASADSTAC5) | Course | 5 | Passed/Not Passed | Internal examination | Oral exam | English |
|
Advanced AI
(26MASADVAIC6) | Course | 5 | Passed/Not Passed | Internal examination | Oral exam | English |
4 Semester
| ||||||
|
Master Project
(26MASMASTER) | Project | 15 | 7-point grading scale | External examination | Master's thesis/final project | English |
Elective projects | ||||||
| Module name | Course type | ECTS | Applied grading scale | Evaluation method | Assessment method | Language |
|
Statistical Modelling of Your Own Data
(26MASP1-1) | Project | 15 | 7-point grading scale | External examination | Oral exam based on a project | English |
|
Applications of AI on Your Own Data
(26MASP1-2) | Project | 15 | 7-point grading scale | External examination | Oral exam based on a project | English |
The curriculum is approved by the dean and enters into force as of 1 February 2026.