PhDInformatikai Tudományok Doktori Iskola [Műszaki]
| Study location | Hungary, Budapest |
|---|---|
| Type | Doctoral, full degree studies |
| Nominal duration | 8 semesters |
| Study language | Hungarian |
| Awards | PhD |
| Course code | Engineering Science |
| Entry qualification | Master diploma (or higher) MSc results proven by transcript of records, and completion proven by degree / diploma. Sufficient knowledge in electrical engineering, proven at an online test during the admission procedure. Sufficient knowledge relevant to the particular research topic, proven at an oral Skype interview during the admission procedure. Overall B2 (or higher) level knowledge of English language, proven by an appropriate certificate. See the details in the “Entry requirements”. 1) Legalább 70%-os eredménnyel sikeresen lezárult MSc tanulmányok The entry qualification documents are accepted in the following languages: English. - All documents should be uploaded BOTH in the original language and in English. You must take the original entry qualification documents along with you when you finally go to the university. |
|---|
| Language requirements | English Minimum overall B2 level |
|---|
| Other requirements | At least 2 reference(s) should be provided. MSc diploma MAGYAR NYELVŰ LEÍRÁS a már végzetteknél az oklevél és egy pecséttel ellátott záróvizsga eredményt igazoló lap (a tárgyévben végzők a záróvizsga után, egy későbbi időpontban, adhatják le igazolásukat), |
|---|
| More information |
|---|
Overview
Program description:
The PhD Program in Computer Engineering is designed to pursue research in the areas of infocommunications, algorithms, data security, data bases, and software technologies. There are at least 20-30 research topics announced by the doctoral school for international students every year. This list is available only to applicants qualifying for the oral part of the entrance exam. Accepted applicants are assigned a supervisor, who guide their research work all through the 8 semesters and beyond.
There are doctoral subjects providing the disciplinary background of research, including cutting-edge mathematics in the domain of stochastic processes, functional analysis and linear algebra, also networking and algorithms. Altogether 30 credits of such electives should be completed. The majority of the credits, however, should be collected from research work and the related activities.
The curriculum comprises 2 phases:
1) In the training and research phase, students should take all the required doctoral subjects, while actively working on their research and publications. They should contribute to teaching BSc and MSc students as well. At least 120 credits should be obtained by the end of the 4th semester.
2) In the research and dissertation phase, students should continue and finish their research, produce further publications, and start working on their dissertation. Another min. 120 credits should be obtained, having altogether min. 240 credits by the end of the 8th semester.
Milestones of the program:
1) Complex Review Exam:
- Should be taken at the end of the 4th semester, as an entry to the second phase.
- Aim: to give an account of the knowledge gained from the taught subjects, and of the results already achieved and to be achieved during the research work.
2) Submission of the dissertation for public defence:
- AFTER earning all the 240 credits set in the curriculum, completing the dissertation and passing the in-house defence, and having all the publications required for the degree appeared; BUT
- WITHIN 3 years after the complex review exam.
In order to earn the degree, the dissertation should be successfully defended in a public defence.
The student status ceases at the end of the 8th semester, independently of when the dissertation is submitted and defended!
Entry requirements:
1) Completed MASTER’S studies with an overall result of min. 70%. This should be proven by the DEGREE٭ awarded AND the TRANSCRIPT of all corresponding records.
Applicants still doing the MSc should upload, IN ADDITION to the transcript, an official certificate of the EXPECTED date of graduation.
2) Appropriate knowledge of ENGLISH language
3) Sufficient background KNOWLEDGE in the field, proven at an online TEST during the admission procedure.
4) Sufficient knowledge related to the selected RESEARCH topic, proven at an oral INTERVIEW via Skype during the admission procedure.
Entrance exam:
Yes
Type of entrance exam:
written and oral
Entrance exam location:
Electronic
Entrance exam description:
Selection process:
all applicants should write an online test → pre-evaluation of the submitted documents → qualifying applicants should choose 1 to 3 research topics from the offered list → evaluation of the test results and the submitted documents by the selected supervisor(s) → applicants meeting the criteria should have an entrance interview on Skype → statement of commitment or refusal by the interviewing supervisor(s) → decision by the doctoral school
Selection criteria:
→ appropriacy and quality of the below DOCUMENTS (ALL are required!):
- MSc transcript and (if already awarded) degree: min. 70% overall result required
- language certificate
- research plan / MSc thesis abstract (the latter one preferred)
- motivation letter
- recommendation letters (reference from current or earlier teachers / employers)
→ PERFORMANCE at the entrance exam (written and oral):
- oral language skills (the interview is in English)
- motivation, attitude
- technical preparedness in the selected research field
→ the number of VACANCIES for the topic, and the overall capacity of the supervisor
Contact:
Ms. Fanny Szondy
international coordinator
phd-info@vik.bme.hu
Dr. László Gergely Vigh
Directorate for Education
international@bme.hu
Preparatory year available:
No
Specialisation year available:
No
Minimum number of scholarship holders:
1
Maximum number of scholarship holders:
10
Link:
studyinhungary.hu/institution/budapest-university-of-technology-and-economics-58.html
MAGYAR NYELVŰ LEÍRÁS
Az informatikai doktori program keretében az infokommunikációval, algoritmusokkal, adatbiztonsággal, adatbázisokkal és SW technológiákkal kapcsolatos kutatási tevékenység zajlik. A felvett hallgatók a kutatási területük szerint szakmacsoportot választanak, mely meghatározza a kötelezően teljesítendő tárgyakat.
A felvételi eljárás egy nyelvismeretet, előzetes tudományos eredményeket, előzetes tanulmányokat értékelő pontozáson alapul, valamint egy szóbeli felvételi elbeszélgetésből. Az elbeszélgetésen fontos szempontok, hogy tudja-e a jelentkező
- miről fog szólni a kutatása
- milyen tudományos értékű eredmények várhatók
- ismertetni a már elért eredményeket
- mi a különbség a kutatás és fejlesztés között
Minimum ösztöndíjas kvótaszám:
1
Maximum ösztöndíjas kvótaszám:
10
Link:
studyinhungary.hu/institution/budapest-university-of-technology-and-economics-58.html
Programme structure
There are doctoral subjects providing the disciplinary background of research, including cutting-edge mathematics in the domain of stochastic processes, functional analysis and linear algebra, also networking and algorithms. Altogether 30 credits of such electives should be completed. The majority of the credits, however, should be collected from research work and the related activities.
The curriculum comprises 2 phases:
1) In the training and research phase, students should take all the required doctoral subjects, while actively working on their research and publications. They should contribute to teaching BSc and MSc students as well. At least 120 credits should be obtained by the end of the 4th semester.
2) In the research and dissertation phase, students should continue and finish their research, produce further publications, and start working on their dissertation. Another min. 120 credits should be obtained, having altogether min. 240 credits by the end of the 8th semester.
MAGYAR NYELVŰ LEÍRÁS
A 8 szemeszterből álló doktori program elvégzéséhez 240 kreditet kell teljesíteni. Ez a kreditmennyiség az alábbi módon áll össze:
- 30 kredit doktori tárgyak elvégzéséből. Ezek a doktori tárgyak adják a kutatási tevékenység diszciplináris alapjait.
- 120 kutatási tevékenységből
- 60 kredit publikációs tevékenységből
- 30 kredit oktatási tevékenységből. A BSc, ill. MSc képzés oktatásában való részvétel célja a prezentációs, magyarázási és vitakészség fejlesztése.