Applied Informatics

Graduate (Master) Studies
Computer Sciences
Applied Informatics

Description

In the Applied Informatics Master study programme you will learn about artificial emotional intelligence, information modelling and operations research theory, deepen your knowledge of machine learning, data visualisation, neural networks, and improve your skills in the use of language technologies and digital image processing. You can study a wide range of electives, from technologies for game environments to managing an IT team. After your studies you will be able to work as a system and data analyst, software architect or consultant, artificial intelligence specialist, or will be able to manage an IT department, set up your own IT company, carry out independent research, or go on to study for a PhD in computer science or computer engineering. 

Curriculum

Course Lecturer ECTS Credits
Information Retrieval Tomas Krilavičius 6
Machine Learning Gailius Raškinis 6
Affective Computing Aušra Vidugirienė 6
Research Project No.1 [INF 515] Tomas Krilavičius 6
Optional courses I
Operations Research and Management Leonidas Sakalauskas 6
ICT Infrastructure and Digital Transformation Daiva Vitkutė-Adžgauskienė 6
Total ECTS credits:
30
Course Lecturer ECTS Credits
Data Visualization Tomas Krilavičius 6
Digital Image Processing Minija Tamošiūnaitė 6
Research Project No.2 [INF 525] Tomas Krilavičius 6
Optional courses I
Leading IT Team Danguolė Kraskauskienė 6
Blockchain Technologies and Cryptography Eligijus Sakalauskas 6
Optional courses II
Gaming Environments and Technologies Judita Kasperiūnienė 6
Neural Networks [INF512] Aušra Saudargienė 6
Total ECTS credits:
30
Course Lecturer ECTS Credits
IT Governance Bronislovas Balvočius 6
Natural Language Processing Jurgita Kapočiūtė-Dzikienė 6
Social Media Analytics Judita Kasperiūnienė 6
Research Project No.3 Tomas Krilavičius 6
Optional courses I
Intelligent Internet of Things Systems Audrius Zajančkauskas 6
Digital Business and Marketing Justinas Kisieliauskas 6
Total ECTS credits:
30
Course Lecturer ECTS Credits
Master Graduation Thesis Tomas Krilavičius 30
Total ECTS credits:
30