Doctor of Philosophy Programme Computer Sciences
| Faculty | Faculty of Mathematics, Computer Science and Physics |
| Duration / ECTS-Credits | 6 semesters / 180 ECTS-Credits |
| Academic Degree |
Doctor of Philosophy (PhD) |
| Qualification Level |
Doctorate (Third Cycle) ISCED-11: Level 8, EQF/NQF: Level 8 |
| ISCED-F | 0688 Inter-disciplinary Programmes involving ICT's |
| Mode of Study |
Full-Time |
| Study Code |
UC 094 xxx | UC 794 745 xxx |
| Curriculum |
Information on the Curriculum (2009W) * |
| Language of Instruction | English |
| Admission Requirements |
Relevant diploma or master's degree or equivalent and Laguage Certificates |
| Application |
* Information on the Curriculum (2009W)
The complete version of the curriculum reflects the currently valid version of the curriculum. It is for informational purposes only and is not legally binding. The legally binding version of the curriculum, including any amendments, may be found in the University of Innsbruck Bulletins.
In order to determine which version of the curriculum is applicable in your case, see the Catalogue of Studies,
available at: https://lfuonline.uibk.ac.at/public/lfuonline_meinestudien.studienblatt
Section: Current Curriculum version.
University of Innsbruck Bulletins » (Click to open all University of Innsbruck Bulletins)
- English version of the Curriculum (from October 1 2014)
- Curriculum/Consolidated version (from October 1 2014)
- University of Innsbruck Bulletin September 10 2014, Issue 46, No. 657 (Equivalence list)
- University of Innsbruck Bulletin June 2 2014, Issue 24, No. 399 (modification of the curriculum)
- University of Innsbruck Bulletin March 20 2009, Issue 46, No. 204
- English version of the Curriculum
Requirements
Relevant master's or diploma degrees at the University of Innsbruck:
- Magister Programme Computer Science
- Master's Programme Computer Science
- Master's Programme Information Systems
- Teacher Training Programme with Diploma Thesis - Subject Informatics and Informatic Management
- Master's Programme Secondary School Teacher Training (General Education) Subject: Computer Science
Proof of general university entrance qualification:
With the exception of § 64 par. 5 UG 2002, the general university entrance qualification for admission to a doctoral programme shall be demonstrated by the completion of a relevant diploma programme or master's programme or another relevant programme of at least the same level of higher education at a recognised domestic or foreign post-secondary educational institution. To compensate for substantial subject-related differences, supplementary examinations may be prescribed, which must be taken by the end of the second semester of the doctoral degree programme.
The rectorate may determine which of these supplementary examinations are prerequisites for taking examinations provided for in the curriculum of the doctoral degree programme.
Modules and Dissertation
| Compulsory Modules 30 ECTS-Credits |
Dissertation 150 ECTS-Credits |
|
Doctoral Thesis Defense Scientific Basics/Core Skills of the Thesis Topic Participation in Scientific Discourse Interdisciplinary Seminar in the PhD Programme Generic Skills |
The dissertation is a scientific piece of work which – in contrast to a diploma or master’s thesis – serves to prove the student's ability to cope with scientific questions in an independent way. The dissertation topic has to be chosen from the field of computer science or didactics of computer science. The dissertation can also consist of articles that are related in terms of subject matter or methods. In that case, a minimum of three articles must have been accepted for publication by acknowledged scientific journals or international conferences (presented full papers). These articles have to be embedded in a comprehensive presentation of the research question and the current state of knowledge in the field; extensive critical assessment of the results and a summary are required. Moreover, prospects of further scientific and methodical developments of the subject matter are to be prepared. If the articles were written by several authors, the student's own contribution must be shown clearly and attached to the dissertation. The student has to propose a team of supervisors consisting of at least two people (dissertation committee) and to nominate one of them as the supervisor mainly responsible. It is permissible to propose supervisors (with the exception of the main supervisor) from related fields. If the dissertation belongs to the didactics of computer science, the dissertation committee must include representatives of both the subject area and the field of subject-specific didactics. In justifiable exceptional cases it is possible for students to propose only one supervisor. Prior to beginning the work, the student has to communicate the dissertation topic and the names of the supervisors in writing to the Director of Studies. If work on the dissertation requires monetary or non-monetary resources from university institutions, the allocation of these resources is possible only if the head of the institution has been informed of the planned allocation and has not vetoed it within one month for reasons of significant negative influences on teaching and research. Topic and supervisors are considered as accepted, if the Director of Studies does not veto them by means of a decree within one month after the receipt of the proposal. |
Qualification Profile and Skills
The main goal of the Doctor of Philosophy Programme Computer Sciences is to make an independent contribution to research through submission of an original piece of scientific work on the highest international level in one of the fields of competence offered at the Faculty of Mathematics, Computer Science and Physics. This work is to widen the boundaries of knowledge in the relevant special field and thus to contribute to the progress in the dissertation subject.
This goal is to be achieved by completion of the compulsory modules in the curriculum, where particularly the module „Scientific Basics/Core Skills of the Thesis Topic“ offers the requirements to research-oriented subject matter. The modules „Analysis of Own and External Research Results“ and „Core Subject“ convey the current state of research. An addition to these skills (e.g. project management, professional presentation of scientific contents) guarantees the module „Generic Skills”. Graduates of the Doctor of Philosophy Programme have a systematic understanding of their research discipline and research methods of this field.
The programme concludes with a dissertation which is to be supervised by a team of supervisors and is completed by an oral exam taken before an examination board. Graduates are awarded the academic degree „Doctor of Philosophy (PhD)“.
Expected Learning Outcomes for the Doctorate
Graduates are qualified junior academics. They have mastered the methods applied in research in their area and are capable of critically discussing, analyzing, and further developing theories. Junior academics possess the competence to develop and conduct substantial research projects with scientific integrity, and they are qualified to reflect on these processes scientifically and theoretically. They are also aware of issues and questions in gender research.
Future Prospects: Occupational Profiles and Career Opportunities
Graduates of the Doctor of Philosophy Programme Computer Sciences are able to independently solve complex scientific problems of fundamental resarch and applied research on an international level. They hold leading positions in reserach, industry and the tertiary education sector. Graduates are able, after a short introductory period, to take over managerial functions in all companies and institutions of the development and realization of innovative and complex hardware, software or network systems.
Information about examination regulations, assessment and grading
Examination regulations
The examination regulation is an integral part of the curriculum, detailed information can be found under the paragraph examination regulations.
Description of the applied grading system (including the grade distribution table) »
The grade distribution table is a statistical representation of the distribution of all successfully completed examinations in a given programme of study or subject (based on all registered students for the programme or subject). The grade distribution table is updated in regular intervals.
| Austrian grading scheme |
Definition |
%-age |
||
| 1 | EXCELLENT: Outstanding performance |
70.7 |
 |
= 100% |
|
2 |
GOOD: Generally good, but with some errors |
20.2 |
||
| 3 | SATISFACTORY: Generally sound work with a number of substantial errors |
6.9 |
||
| 4 | SUFFICIENT: Performance meets the minimum criteria |
2.2 | ||
| 5 | INSUFFICIENT: Substantial improvement necessary; requirement of further work |
December 2021
Overall classification of the qualification
Not applicable
Explanation: An overall classification (mit Auszeichnung bestanden/pass with distinction, bestanden/pass, nicht bestanden/fail) – is awarded, in accordance with § 73 Para 3 UA, only for examinations that conclude a programme of study and consist of more than one subject (an examination of this type is not specified in the curriculum of this programme of study).
Information about the Programme (in German only)
- General Information on PhD- and Doctoral Programmes
- Study information from the Examination Office
- Guideline
- Deadlines
- Guidelines for electronic submission and publication of academic theses and Instruction
- Timeline PhD (Department of Computer Science)
Forms (in German only)
- Examination Records
- Application of the Dissertation
- Cover Sheet for the Dissertation (to be handed in at the institute - the deckblatt.tex file including the UIBK_logo.pdf must be included in the main.tex of the respective paper. This is done via the \include{deckblatt.tex} command at the beginning of the document).
- Declaration of Academic Honesty
- Submission of the Dissertation
- To block the Dissertation
- Application of the Dissertation's Defence
- Recognition of exams AND Supplementary Sheet
Contact and Information
Examination Office
Standort Technikerstraße 17 
Dean of Studies
Univ.-Prof. Dipl.-Math. Dr. Tim Netzer