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Data analysis


Admission requirements

Propedeuse (first year) Archaeology obtained.


Data analysis is intended to impart to the students the basic principles of arithmetical and statistical techniques for the analysis of archaeological finds. After attending the lectures and practicals, the students must be able themselves to assess what technique should be applied in what situation and practise with the various techniques during a number of practicals.
Data analysis serves as a stepping stone to the handling of statistical techniques, which are applied to many archaeological research questions.

The knowledge and practical experience may be used both in the student’s own research in the context of a paper for example, and in the assessment of the scientific literature.

Course objectives

  • Basic knowledge of (spatial) statistical techniques;

  • Understand and assess the subject literature;

  • Be able to apply techniques in one’s own research;

  • Insight into the advantages and disadvantages of the various techniques for the analysis of archaeological data;

  • Insight into the value of a statistical technique for the archaeological conclusions.


Course schedule details can be found in the bachelor 2 time schedule.

Mode of instruction

  • Lectures;

  • Practical sessions with mandatory attendance;

  • Assignments during practicals in which data from practical Material studies 2 are used.

Course load

The course load will be distrbuted as follows:

  • 14 hours of lectures;

  • 16 hours of practical sessions;

  • 160 pages of literature;

  • Assignment.

Assessment method

  • Open book test;

  • Bonus point for active participation in homework questions;

  • Test marks only apply if the mandatory practicals have been attended.

All exam dates (exams, re-sits, paper deadlines etc.) can be found in the examination schedule.

Reading list

M. Fletcher & G.R. Lock, Digging Numbers, Elementary Statistics for Archaeologists. Oxford: Oxford University Committee for Archaeology (2005).


Registration for the course is not necessary, registration for the exam is mandatory. For instructions, see the Registration in uSis page.


For more information about this course, please contact drs. M. Wansleeben.