Pursuant to Act 261 of March 18, 2015 on Universities (the University Act) with subsequent changes, the following curriculum is established. The programme also follows the Joint Programme Regulations and the Examination Policies and Procedures for The Faculty.
The Master’s programme is organised in accordance with the Ministry of Higher Education and Science’s Order no. 1328 of November 15, 2016 on Bachelor’s and Master’s Programmes at Universities (the Ministerial Order of the Study Programmes) and Ministerial Order no. 1062 of June 30, 2016 on University Examinations (the Examination Order). Further reference is made to Ministerial Order no. 111 of January 30, 2017 (the Admission Order) and Ministerial Order no. 114 of February 3, 2015 (the Grading Scale Order) with subsequent changes.
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 Mathematics.
(Censorkorpset for matematik)
Applicants with a legal right of admission (retskrav)
Applicants without legal right of admission
The Master’s programme entitles the graduate to the Danish designation Cand.scient.oecon.. The English designation is: Master of Science (MSc) in Mathematics-Economics.
The Master’s programme is a 2-year, research-based, full-time study programme. The programme is set to 120 ECTS credits.
The Study Board can approve successfully completed (passed) programme elements from other Master’s programmes in lieu of programme elements in this programme (credit transfer). The Study Board can also approve successfully completed (passed) programme elements from another Danish programme or a programme outside of Denmark at the same level in lieu of programme elements within this curriculum. Decisions on credit transfer are made by the Study Board based on an academic assessment. See the Joint Programme Regulations for the rules on credit transfer.
In exceptional circumstances, the Study Board study can grant exemption from those parts of the curriculum that are not stipulated by law or ministerial order. Exemption regarding an examination applies to the immediate examination.
The rules for examinations are stated in the Examination Policies and Procedures - published at this website: https://www.studieservice.aau.dk/Studielegalitet/
In the assessment of all written work, regardless of the language it is written in, weight is also given to the student's formulation and spelling ability, in addition to the academic content. Orthographic and grammatical correctness as well as stylistic proficiency are taken as a basis for the evaluation of language performance. Language performance must always be included as an independent dimension of the total evaluation. However, no examination can be assessed as ‘Pass’ on the basis of good language performance alone; similarly, an examination normally cannot be assessed as ‘Fail’ on the basis of poor language performance alone.
The Study Board can grant exemption from this in special cases (e.g., dyslexia or a native language other than Danish).
The Master’s Thesis must include an English summary (or another foreign language: French, Spanish or German upon approval by the Study Board). If the project is written in English, the summary must be in Danish (The Study Board can grant exemption from this). The summary must be at least 1 page and not more than 2 pages (this is not included in any fixed minimum and maximum number of pages per student). The summary is included in the evaluation of the project as a whole.
It is assumed that the student can read academic texts in his or her native language as well as in English and use reference works etc. in other European languages.
The following competence profile will appear on the diploma:
A Candidatus graduate has the following competency profile:
A Candidatus graduate has competencies that have been acquired via a course of study that has taken place in a research environment.
A Candidatus graduate is qualified for employment on the labour market based on his or her academic discipline as well as for further research (PhD programmes). A Candidatus graduate has, compared to a Bachelor, developed his or her academic knowledge and independence so as to be able to apply scientific theory and method on an independent basis within both an academic and a professional context.
The graduate of the Master’s programme
Knowledge
Skills
Competencies
The programme is structured in modules and organized 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 organized based on the following work and evaluation methods that combine skills and reflection:
General provisions concerning elective courses:
- Only a limited number of elective courses from the list of courses will be offered at each semester.
- Students can only participate once in a course with a given title. In particular, they cannot follow a course if they have previously participated in a course with the same title as part of a bachelor programme.
Overview of the programmes:
All modules are assessed through individual grading according to the 7-point scale or Pass/Fail. All modules are assessed by external examination (external grading) or internal examination (internal grading or by assessment by the supervisor only).
Offered as:
1-professional | |||||
Study programme: Mathematics-Economics | |||||
Module name | Course type | ECTS | Applied grading scale | Evaluation method | Assessment method |
1 Semester
| |||||
Projects on the 1'st semester | Project | 15 | |||
Measure Theory and Stochastic Processes | Course | 5 | Passed/Not Passed | Internal examination | Written or oral exam |
Elective courses on the 1'st semester | Course | 10 | |||
2 Semester
| |||||
Projects on the 2'nd semester | Project | 15 | |||
Elective courses on the 2'nd semester | Course | 15 | |||
3 Semester
| |||||
Advanced Topics with Applications | Project | 20 | 7-point grading scale | Internal examination | Oral exam based on a project |
Elective courses on the 3'rd semester | Course | 10 | |||
3-4 Semester
| |||||
Long Master’s Thesis. 50 ECTS | Project | 50 | 7-point grading scale | External examination | Oral exam based on a project |
Elective courses on the 3'rd semester | Course | 10 | |||
Long Master’s Thesis. 60 ECTS | Project | 60 | 7-point grading scale | External examination | Oral exam based on a project |
4 Semester
| |||||
Master’s Thesis, 30 ECTS | Project | 30 | 7-point grading scale | External examination | Master's thesis/final project |
Projects on the 1'st semester | |||||
Module name | Course type | ECTS | Applied grading scale | Evaluation Method | Assessment method |
Empirical Financial Modelling and Applied Econometrics | Project | 15 | 7-point grading scale | Internal examination | Oral exam based on a project |
Operations Research. Project | Project | 15 | 7-point grading scale | Internal examination | Oral exam based on a project |
Elective courses on the 1'st semester | |||||
Module name | Course type | ECTS | Applied grading scale | Evaluation Method | Assessment method |
Financial Econometrics and Quantitative Methods in Finance | Course | 5 | 7-point grading scale | Internal examination | Written or oral exam |
Numerical Analysis | Course | 5 | Passed/Not Passed | Internal examination | Oral exam |
Topics in Operations Research | Course | 5 | 7-point grading scale | Internal examination | Written or oral exam |
Advanced Operations Management | Course | 5 | 7-point grading scale | Internal examination | Written or oral exam |
Flexible Manufacturing | Course | 5 | 7-point grading scale | Internal examination | Written or oral exam |
Topics in Statistical Sciences I | Course | 5 | 7-point grading scale | Internal examination | Written or oral exam |
Topics in Statistical Science II | Course | 5 | 7-point grading scale | Internal examination | Written or oral exam |
Statistics for Duration Data | Course | 5 | Passed/Not Passed | Internal examination | Active participation/continuous evaluation |
Projects on the 2'nd semester | |||||
Module name | Course type | ECTS | Applied grading scale | Evaluation Method | Assessment method |
In-depth Study of Financial Engineering | Project | 15 | 7-point grading scale | External examination | Oral exam based on a project |
Supply Chain Operations and Analysis | Project | 15 | 7-point grading scale | External examination | Oral exam based on a project |
Elective courses on the 2'nd semester | |||||
Module name | Course type | ECTS | Applied grading scale | Evaluation Method | Assessment method |
Quantitative Finance and Computational Statistics | Course | 5 | Passed/Not Passed | Internal examination | Written or oral exam |
Continuous Time Finance | Course | 5 | Passed/Not Passed | Internal examination | Written or oral exam |
Data Mining | Course | 5 | Passed/Not Passed | Internal examination | Written or oral exam |
Manufacturing and Supply Chain Systems | Course | 5 | 7-point grading scale | Internal examination | Written or oral exam |
Business Intelligence and Analytics | Course | 5 | 7-point grading scale | Internal examination | Written or oral exam |
Spatial Statistics and Markov Chain Monte Carlo Methods | Course | 5 | Passed/Not Passed | Internal examination | Written or oral exam |
Computational Statistics and Operations Research | Course | 5 | Passed/Not Passed | Internal examination | Written or oral exam |
Bayesian Inference and Mixed Models | Course | 5 | Passed/Not Passed | Internal examination | Active participation/continuous evaluation |
Elective courses on the 3'rd semester | |||||
Module name | Course type | ECTS | Applied grading scale | Evaluation Method | Assessment method |
Financial Econometrics and Quantitative Methods in Finance | Course | 5 | 7-point grading scale | Internal examination | Written or oral exam |
Numerical Analysis | Course | 5 | Passed/Not Passed | Internal examination | Oral exam |
Topics in Statistical Sciences I | Course | 5 | 7-point grading scale | Internal examination | Written or oral exam |
Topics in Statistical Science II | Course | 5 | 7-point grading scale | Internal examination | Written or oral exam |
Statistics for Duration Data | Course | 5 | Passed/Not Passed | Internal examination | Active participation/continuous evaluation |
Flexible Manufacturing | Course | 5 | 7-point grading scale | Internal examination | Written or oral exam |
Topics in Operations Research | Course | 5 | 7-point grading scale | Internal examination | Written or oral exam |
Advanced Operations Management | Course | 5 | 7-point grading scale | Internal examination | Written or oral exam |
Study abroad
On the 3'rd semester the student also has the possibility to study at another Danish or international university (study abroad). Study at another university must be approved by the Study Board.
All students who have not participated in Aalborg University’s PBL introductory course during their Bachelor’s degree must attend the introductory course “Problem-based Learning and Project Management”. The introductory course must be approved before the student can participate in the project exam. For further information, please see the School of Engineering and Science' website.
The curriculum is approved by the Dean and enters into force as of September 2018.
Students who wish to complete their studies under the previous curriculum from 2017 must conclude their education by the summer examination period 2019 at the latest, since examinations under the previous curriculum are not offered after this time.
On October 30, 2018, the Pro-dean has approved the following elective course on 2nd semester, valid from spring 2019:
On October 31, 2019, the Pro-dean has approved the following elective course on 2nd semester, valid from spring 2020: