Fees, costs and scholarships

Participation costs (Tuitions)

For nationals from the European Economic Area (EEA). This comprises:

  • The 27 EU countries
  • Iceland, Liechtenstein, Norway
  • North Macedonia, Turkey and Serbia

3,000 EUR per year

For nationals from non-EEA countries (= all other nationalities) 

9,000 EUR per year

Tuition waivers

The programme participation cost includes tuition fees, insurance and participation in all teaching activities of the programme, including lab courses, excursions, and the master thesis research.

Study Costs

The estimated total study cost for the 2 years study programme is:

For nationals from the European Economic Area (EEA).

Cost
Programme participation cost:
6,000 EUR
Lliving expenses
(1,000 EUR per month)
24,000 EUR
Travel to/from/within Europe*
2,000 EUR

For nationals from non-EEA countries

Cost
Programme participation cost:
18,000 EUR
Lliving expenses
(1,000 EUR per month)
24,000 EUR
Travel to/from/within Europe*
3,000 EUR

Note that you will have to prove sufficient means of subsistence before enrolment. Find details on proof of subsistence on the sufficient means of subsistence for visa application page.

Scholarships

We currently have no own scholarship programme available. Check scholarship options by other funding agencies.

Special needs

AquaH offers financial contributions to students with special needs. They will be used for enrolled students (with or without Erasmus Mundus scholarship) with disabilities (e.g. long-term physical, mental, intellectual or sensory impairments), such as those related to the acquisition of special items or services (e.g. assistance by third persons, adaptation of work environment, additional travel/transportation costs).

After you have been awarded admission to AquaH, contact aquah@ugent.be in case you have special needs and you wish to apply for the financial contribution.

Required basic statistics qualifications involves knowledge of:

(1) Introductory concepts: descriptive statistics, random variables and their distribution, properties of lineair combinations of random variables.

(2) Inference from normally distributed data: t-tests, F-test to compare variances, P-values, type I and type II errors.

(3) The general linear model: t-test on a regression coefficient, analysis of variance, extra sum of squares, (adjusted) R-squared and model selection, quantitative and qualitative explanatory variables, interactions, post-hoc analysis, geometric interpretation of regression, hat-matrix.

(4) Non-parametric statistics.