Master of Digital Humanities (Leuven) (60 ECTS) Master of Science
Students with a degree obtained at an institution of the Flemish Community
After admission procedure
Students with a MA degree obtained from a Flemish institute and/or students who obtained a master’s degree from a Humanities faculty from KU Leuven download the application form here.
Additional information
Apply through the website of the programme: http://set.kuleuven.be/mdh/application/application.
Students with a degree not obtained at an institution of the Flemish Community
Students who did not obtain their previous degree(s) at an institution of the Flemish Community should submit an application via the Admissions Office: https://www.kuleuven.be/english/application/.
You can find a list of core documents, which should be submitted with every application, here: https://www.kuleuven.be/english/application/requesteddocuments.
Diploma requirements
Admission of students is based on a selection procedure. Candidate students submit an application containing detailed information on their prior studies, work experience, additional competencies, proof of proficiency in English and motivation statement. Successful applicants are holder of a Master degree in Human or Behavioral Sciences. They obtained their degree with good study results and from a good university. They meet the universities entry requirements in terms of English proficiency. They have clear academic and/or professional goals and are able to motivate why the program will help to achieve them.Applicants with a strong IT-background (e.g. applicants who are also holder of a Bachelor of Master degree in Computer Science, or who have similar expertise through professional experience) will be advised not to enroll in the program. Applicants with a background that does not match with any of the areas of expertise of the teaching staff will also be advised not to enroll.
Language requirements
All applicants must prove their proficiency in English. The accepted English proficiency tests are:- TOEFL: minimum overall score of 600 (paper-based), 250 (computer-based) or 100 (internet-based).
- IELTS Academic test: minimum overall score of 7.0
The following applicants are exempted from submitting an English proficiency certificate:
- Applicants who have obtained a previous university degree taught in English in Australia, English-speaking Canada, Ireland, New Zealand, the United Kingdom and the United States of America. Their diploma and transcripts suffice, provided they confirm that the entire university study was completely taught in English in one of the previous countries.
Additional information
More information about the eligibility conditions of the programme may be found here .
Students with a degree obtained at an institution of the Flemish Community
After admission procedure
Students with a MA degree obtained from a Flemish institute and/or students who obtained a master’s degree from a Humanities faculty from KU Leuven download the application form here.
Additional information
Apply through the website of the programme: http://set.kuleuven.be/mdh/application/application.
Students with a degree not obtained at an institution of the Flemish Community
Students who did not obtain their previous degree(s) at an institution of the Flemish Community should submit an application via the Admissions Office: https://www.kuleuven.be/english/application/.
You can find a list of core documents, which should be submitted with every application, here: https://www.kuleuven.be/english/application/requesteddocuments.
Diploma requirements
Admission of students is based on a selection procedure. Candidate students submit an application containing detailed information on their prior studies, work experience, additional competencies, proof of proficiency in English and motivation statement. Successful applicants are holder of a Master degree in Human or Behavioral Sciences. They obtained their degree with good study results and from a good university. They meet the universities entry requirements in terms of English proficiency. They have clear academic and/or professional goals and are able to motivate why the program will help to achieve them.Applicants with a strong IT-background (e.g. applicants who are also holder of a Bachelor of Master degree in Computer Science, or who have similar expertise through professional experience) will be advised not to enroll in the program. Applicants with a background that does not match with any of the areas of expertise of the teaching staff will also be advised not to enroll.
Language requirements
All applicants must prove their proficiency in English. The accepted English proficiency tests are:- TOEFL: minimum overall score of 600 (paper-based), 250 (computer-based) or 100 (internet-based).
- IELTS Academic test: minimum overall score of 7.0
The following applicants are exempted from submitting an English proficiency certificate:
- Applicants who have obtained a previous university degree taught in English in Australia, English-speaking Canada, Ireland, New Zealand, the United Kingdom and the United States of America. Their diploma and transcripts suffice, provided they confirm that the entire university study was completely taught in English in one of the previous countries.
Additional information
More information about the eligibility conditions of the programme may be found here .
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Introductory Components
All courses are compulsory.
6 ECTS Introduction to Digital Humanities G0R03B staff staff
Introduction to Digital Humanities (6 ECTS) G0R03a staff staff
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Introductory Digitization Components
All courses are compulsory.
6 ECTS Information Structures and Implications G0W93B staff staff
Information Structures and Implications: Lectures (4 ECTS) G0W93a staff staff
Information Structures and Implications: Exercises (2 ECTS) G0W94a staff staff
6 ECTS Scripting Languages G0W95B staff staff
Scripting Languages: Lectures (3 ECTS) G0W95a staff staff
Scripting Languages: Exercises (1 ECTS) G0W96a staff staff
Scripting Languages: Projects (2 ECTS) G0W97a staff staff
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Management Component
This course is compulsory.
3 ECTS Management and Information Technology H00K2A staff staff
Management and Information Technology: Lecture (2.44 ECTS) H00K2a staff staff
Management and Information Technology (0.56 ECTS) H03K3a staff staff
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Elective Components
The student selects at least 24 credits from this group.
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Tools for the Digital World
The student selects at least 6 credits from this group.
6 ECTS Data and Statistical Modelling H00Y0A staff- A.Carbonez (coordinator)
- N.
staff
- A.Carbonez (coordinator)
- N.
Data and Statistical Modelling: Extension (0.6 ECTS) H00Y0a staff staff
Data and Statistical Modelling: Extension: Exercises (0.4 ECTS) H00Y1a staff staff
Univariate Data and Modelling (3 ECTS) I0S08a staff staff
Exercises in Univariate Data and Modelling (2 ECTS) I0S11a staff staff
6 ECTS Historical Data Management F0CB1A staff staff
Historical Data Management (4 ECTS) F0CB1a staff staff
Social Network Analysis (2 ECTS) F0CB2a staff staff
6 ECTS Design Thinking and Making G0D19A staff staff
Design Thinking and Making: Lecture (4 ECTS) G0D19a staff staff
Design Thinking and Making: Practical Sessions (2 ECTS) G0D20a staff staff
6 ECTS Human-Computer Interaction S0C76A staff staff
- B.Zaman
- E.Lievevrouw (substitute)
- A.Kasemi (cooperator)
Human-Computer Interaction (6 ECTS) S0C76a staff staff
- B.Zaman
- E.Lievevrouw (substitute)
- A.Kasemi (cooperator)
6 ECTS Data Visualisation G0R04A staff staff
- K.Verbert (coordinator)
- A.Vande Moere
- K.Verbert
Data Visualisation: Lectures (3 ECTS) G0R04a staff Data Visualisation: Exercises (3 ECTS) G0R05a staff 6 ECTS Web Information Systems G0Y11A staff staff
Web Information Systems: Lecture (3 ECTS) G0Y11a staff staff
Web Information Systems: Exercises (3 ECTS) G0Y12a staff staff
6 ECTS Introduction to Data Mining G0Y13A staff staff
Introduction to Data Mining: Lecture (4 ECTS) G0Y13a staff staff
Introduction to Data Mining: Exercises (0.5 ECTS) G0Y14a staff staff
Introduction to Data Mining: Project (1.5 ECTS) G0Y15a staff staff
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Application Domains
The student selects at least 6 credits from this group.
6 ECTS Methods of Corpus Linguistics F0TU1A staff staff
Methods of Corpus Linguistics (6 ECTS) F0TU1a staff staff
6 ECTS Linked Data Scholarship F0XO5A staff staff
Linked Data Scholarship (6 ECTS) F0XO5a staff staff
6 ECTS Linguistics and Artificial Intelligence G0D21A staff staff
Linguistics and Artificial Intelligence: Lecture (3.5 ECTS) H02B6a staff staff
Linguistics and Artificial Intelligence: Exercises (0.5 ECTS) H00I4a staff staff
Linguistics and Artificial Intelligence: Project (2 ECTS) G0D22a staff staff
6 ECTS Speech Science G0D23A staff staff
Speech Science: Lecture (3 ECTS) H02C9a staff staff
Speech Science: Exercises (1 ECTS) H00H0a staff staff
Speech Science: Assignment (2 ECTS) G0D24a staff staff
6 ECTS Natural Language Processing G0D25A staff staff
Natural Language Processing: Lecture (3.5 ECTS) H02B1a staff staff
Natural Language Processing: Exercises (0.5 ECTS) H00G0a staff staff
Natural Language Processing: Extension (1.8 ECTS) G0D26a staff- N.
staff
- N.
Natural Language Processing: Extension Exercises (0.2 ECTS) G0D27a staff- N.
staff
- N.
6 ECTS Online Publishing F0UO1A staff staff
- F.Truyen
- N.
- H.Coppens (cooperator)
- E.Decraene (cooperator)
Online Publishing: Theory (4 ECTS) F0UO1a staff staff
- F.Truyen
- H.Coppens (cooperator)
- E.Decraene (cooperator)
Online Publishing: Practice (2 ECTS) F0YN1a staff staff
- N.
- H.Coppens (cooperator)
- E.Decraene (cooperator)
6 ECTS Multimodality F0BS2A staff staff
- K.Feyaerts (coordinator)
- P.Sambre
- N.
Multimodality (6 ECTS) F0BS2a staff- P.Sambre
- N.
staff
- P.Sambre
- N.
6 ECTS Digital Cultural Heritage F0YS9A staff staff
Digital Cultural Heritage (6 ECTS) F0YS9a staff staff
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Master's Thesis
This course is compulsory.
15 ECTS Master's Thesis G0W99A staff- K.Verbert (coordinator)
- N.
staff
- K.Verbert (coordinator)
- N.
Master's Thesis (15 ECTS) G0W99a staff- N.
staff
- N.
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