MScInterdisciplinary studies: control, electronic and information engineering (CEIE) -Data Science
| Study location | Poland, Gliwice |
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| Type | Master (Double diploma), full-time |
| Nominal duration | 1,5 years / 3 semesters (90 ECTS) |
| Study language | English |
| Awards | MSc |
| Tuition fee | €1,250 per semester Tuition fee (1250€) for 1st semester (1150€) for each subsequent semester. |
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| Application fee | €18 one-time |
| Entry qualification | Undergraduate diploma (or higher) with transcript of records Bachelor degree certificate with transcript of records The entry qualification documents are accepted in the following languages: Polish / English. Often you can get a suitable transcript from your school. If this is not the case, you will need official translations along with verified copies of the original. You must take the original entry qualification documents along with you when you finally go to the university. |
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| Language requirements | English |
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| Other requirements | A motivation letter must be added to your application. Fields of study, chosen as leading ones: The specialization will be launched provided that a group of at least 20 students is gathered. In case of insufficient number of candidates for a particular field of study, this field of study will not be available and alternative specialization will be offered to candidates. |
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| More information |
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Overview
MSc. studies in area of Data Science in the Faculty of Automatic Control, Electronics and Informatics, Silesian University of Technology are given in English and concern issues related to contemporary algorithms of data processing and their applications. Teaching and discussing techniques of data analysis have interdisciplinary character, include elements of information technologies, several computational and algorithmic aspects of data analysis, statistics and many links to specific knowledge in areas of applications. Studies include lectures, laboratories and projects taught by specialists in data analysis, with the help of modern computational techniques, supported by high quality hardware tools, focused on real data sets and contemporary, important problems of their processing. Some of the optional courses are given by experts from information technology companies.
Studying data science in English allows for wider access to the literature and better possibilities for international cooperation. Industrial stakeholders of the Data Science specialization are scientific institutions and enterprises developing systems and software for data analyses, prognoses, computer aided business and industrial decision making, which search for high quality staff for supporting their projects.
In connection with the double degree agreement between SUT and Strathclyde University, postgraduate students in electronics and data science at SUT have the opportunity to progress to Strathclyde in the second year of their studies.
Career opportunities
Graduate of the Data Science specialization acquires competence in the area of application of information techniques, modeling methods, computational and algorithmic methods, statistical analyses, to processing and knowledge extraction from large datasets generated on the basis of contemporary computer techniques. The graduate is prepared to both creative individual work and to work as a member of the team creating informatics solutions of application character, based on modern informatics hardware systems, new computer technologies and programming environments and tools.