Applied Informatics
Study programme information
- Area of studies: Physical Sciences
- Qualification awarded: Master’s Degree in Computing
- Mode of Studies: Full-time studies
- Length of Programme: 2 academic years (120 ECTS)
- Place of execution: VMU Faculty of Informatics, Universiteto st. 10, 53361 Akademija, Kaunas District.
- Detailed information about the study programme: Applied Informatics
Curriculum
Subjects of the Applied Informatics Study Programme
| 1 semester |
| Title |
Code |
ECTS |
| Information Retrieval |
INF5027 |
6 |
| Machine Learning |
INF5002 |
6 |
| Affective Computing |
INF5026 |
6 |
| Research Project No. 1 |
INF5012 |
6 |
| Elective Subjects |
|
| Operations Research and Management |
INF5008 |
6 |
| ICT Infrastructure and Digital Transformation |
INF6020 |
6 |
| In total: |
30 |
| 2 semester |
| Title |
Code |
ECTS |
| Data Visualization |
INF5019 |
6 |
| Digital Image Processing |
INF5023 |
6 |
| Research Project No. 2 |
INF5013 |
6 |
| Elective Subject 1 |
|
| Gaming Environments and Technologies |
INF5025 |
6 |
| Neural Networks |
INF5007 |
6 |
| Elective Subject 2 |
|
| Leading IT Team |
INF5030 |
6 |
| Blockchain Technologies and Cryptography |
INF5028 |
6 |
| In total: |
30 |
| 3 semester |
| Title |
Code |
ECTS |
| IT Governance |
INF6019 |
6 |
| Natural Language Processing |
INF5010 |
6 |
| Social Media Analytics |
INF6018 |
6 |
| Research Project No. 3 |
INF6006 |
6 |
| Elective Subject |
|
| Intelligent Internet of Things Systems |
INF6022 |
6 |
| Digital Business and Marketing |
VAM5031 |
6 |
| In total: |
30 |
| 4 semester |
| Title |
Code |
ECTS |
| Master Graduation Thesis |
BENMINF01 |
30 |
| In total: |
30 |
| Total in the study programme: |
120 |
Admission
Admission score counting is based on:
| Arithmetic average of Bachelor degree diploma supplement |
Weighting factor: 0,4 |
| English |
Weighting factor: 0,3 |
| Motivation letter |
Weighting factor: 0,3 |
APPLICATION AND ADMISSION PROCEDURE
About the Programme
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 visualization, 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.
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.
Career Opportunities
Graduates of Applied Informatics Master study programme will be able to work as software developers, software architects, analysts, consultants, project and department managers in different organizations, state institutions and business units; as researchers, scientific workers, assistants and lectors in science and education institutions. Graduates of Applied Informatics may continue studies in PhD studies in informatics (Computer Science) or Computer Engineering.
