Key Info
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Study mode
Master
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Duration
1.5 years
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Language
English
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Tuttion fee
3000€ per year
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Apply date
2020-09-01
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Start date
2020-10-01
Program description
Specialisation: Artificial Intelligence
Specialisation: Business Intelligence Systems Development
Faculty of Mathematics and Information Science
These Master programmes cover modern mathematics and tackle the latest trends in computer science. Studies involve a lot of individual work. Each student chooses a scientific advisor from among academic and research staff. Last semester is devoted mainly to M.Sc. thesis preparation, which is usually highly related to the on-going faculty research. Graduates can use IT tools to write computer programs, develop and verify IT projects including advanced statistical applications which require modelling and deepened comprehension of computer science notions. Graduates are well-prepared to work in companies of diverse business profiles which make use of advanced IT solutions, in particular in companies that develop software, IT consultancy companies, in the advanced technologies sector and the financial institution's sector. Students of Artificial Intelligence specialisation gain a deep theoretical and practical comprehension of artificial intelligence and computational intelligence methods, neural networks and knowledge representation. Students of Business Intelligence Systems Development specialisation become experts designing and programing of business intelligence systems (SAS) and statistical systems using advanced computational methods.
Examples of modules:
• High-performance computing
• Advanced algorithms
• Software testing
• Knowledge representation and reasoning
• Neural networks
• Programming in logic and symbolic programming
• Image and speech recognition
• Calculus - advances
• Data compression
Graduate Profile – job opportunities
Depending on the profile of the studies, graduates may find employment in companies with diverse business profiles, in particular creating software, IT consultancy companies, in the advanced technology sector or in financial institutions. They can work as software designers and creators, managers of programming teams, statistical systems developers, business intelligence systems modellers and programmers, SAS advanced programmers and SAS platform administrators, information system administrators, computer network designers and administrators, specialists in data protection and information systems security or managers of projects related to the application of computational methods in various disciplines.
Career opportunities
• IT companies and centres using and creating advanced IT solutions;
• IT advisory services in companies of various profiles of operation;
• self-employment within the scope of the studied subjects;
• research and development centres.