Applied Informatics

Area of studies:  Physical Sciences
Faculty: Faculty of Informatics
Mode of Studies: Full-time studies
Length of Programme: 2 academic years (120 ECTS)
Name of Qualification: Master in Applied Informatics

  • Faculty of Informatics
  • Address: Vileikos g. 8, LT-44404 Kaunas
  • Contact person: Gailius Raškinis
  • E-mail dek@if.vdu.lt
  • Website if.vdu.lt

Programme Objectives

The aim of the Applied Informatics programme is to prepare broad-minded highly qualified information technology (IT) specialists, capable of:

  • performing analysis of (big) data (text, signals, multimedia, etc.) by applying data mining techniques and tools, designing, developing and deploying data analytics solutions;
  • formalizing, modelling and simulating complex systems and business processes, designing, deploying and maintaining adaptive and intellectual systems;
  • performing R&D activities in an industrial or academic setting, pursuing doctoral degree in Lithuanian and foreign universities and research institutions.

Expected Learning Outcomes

  • Apply knowledge of data analysis techniques in different domains and new areas;
  • Apply knowledge of the design and implementation of innovative intelligent and adaptive systems in different domains;
  • Apply knowledge of advanced (emerging) IT techniques for development, deployment and maintenance of business IT systems, estimate their demand, impact and relevance to users, enterprise and organizations;
  • Perform interdisciplinary R&D in data analysis and modeling and apply research results in practical applications;
  • Perform interdisciplinary R&D in systems and business processes analysis and modelling, apply research results in practical applications;
  • Analyse and process language, multimedia, signals, and business data;
  • Analyze, formalize and model systems and processes of different complexity;
  • Apply parallel programming skills for the development of concurrent distributed and multi-core/-processor systems;
  • Design innovative multiplatform services and applications, integrating intelligent, adaptive and Cloud technologies;
  • Clearly and convincingly present problems and suggested solutions to experts and non-experts, using ground knowledge, reasoning, relevant presentation tools, media and methods, in second language, if required;
  • Professionally communicate, collaborate and lead multidisciplinary teams in IT projects;
  • Plan self-learning and improve personal performance as a foundation for lifelong learning and ongoing professional development;
  • Critically analyse context of informatics projects and their influence to business, culture and society;
  • Adapt to the quickly changing cultural, economic and technological environment.

Access Requirements

Applicants for Applied Informatics programme should have a Bachelor or equivalent degree in Informatics, Informatics Engineering, Computer Science, Computer Engineering or Mathematics.

 Career Opportunities

  • Graduates of Applied Informatics programme will be able to work as systems analysts, software architects and developers, consultants, project and department managers, data scientists, researchers and lecturers.
  • Graduates of Applied Informatics will be able to establish their own information technology business companies.
  • Graduates of Applied Informatics may continue in PhD studies in informatics (Computer Science) or Computer Engineering.

Curriculum

Study subject Code   ECTS Credits
Year 1 (Semester 1)  
Operation Research and Management INF5008 6
Machine Learning INF5002 6
System Analysis and Modelling INF5020 6
Research Project No. 1 INF5012 6
Elective subject (1)  
Signal  Processing and Recognition INF5006 6
ICT Infrastructure and Electronic Commerce INF5016 6
Total for semester:    

30

Year 1 (Semester 2)  
Data Visualization INF5019 6
Distributed and Cloud Computing INF5022 6
Research Project No. 2 INF5013 6
Elective subject (1)  
Neural Networks INF5007 6
IT Strategies in Knowledge Society INF5015 6
Digital Image Processing INF5023 6
Elective subject (1)  
Adaptive and Intelligent Systems INF6001 6
Intelligent Web Services and Applications INF5024 6
Gaming Environments and Technologies INF5025 6
Total for semester: 30
Total for Year 1:    

60

Year 2 (Semester 3)  
IT Project Management INF5021 6
Mobile Application Infrastructure INF6013 6
Research Project No. 3 INF6006 6
Elective subject (1)  
Natural Language Technologies INF5010 6
Supply Chain Management and Logistics VAM5002 6
Multimedia Data Mining INF6016 6
Elective subject (1)    
Information Retrieval INF5017 6
Secure Digital Environments INF6017 6
Year 2 (Semester 4)

Master Thesis

30
Total for semester: 30
Total for  Year 2: 60
Total for the Programme: 120