Master in Business Informatics
Salzburg, Austria
DURATION
4 Semesters
LANGUAGES
German
PACE
Full time
APPLICATION DEADLINE
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EARLIEST START DATE
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TUITION FEES
EUR 363 / per semester
STUDY FORMAT
On-Campus
Introduction
With the slogan "Designing Digital Transformation", this master's program enables graduates to design operational processes in the area of conflict between ICT-driven dynamics and the adaptability of companies. As IT experts with a high level of business competence, you will be able to apply digital technologies in line with requirements and to quickly evaluate increasing data floods to increase the business benefit.
| Study mode: full-time | Diploma: Diplomingenieur / Diplomingenieurin (DI) | Lenght of study: 4 Semester (120 ECTS) |
| Study places/Year 20 | Location: Campus Urstein | Delivery language: German (Individual courses are held in English) |
| Tuition fee: 363 euros per semester + ÖH contribution (22,70 euros per semester) |
Why pursue a Master's degree in Business Informatics at FH Salzburg?
The Digital Economy, encompassing the design, implementation, and integration of digital business models, processes, and products by companies, is both an opportunity and a challenge. With the Master's program in Business Informatics at FH Salzburg, you actively shape digitization in businesses. Leveraging your profound technical and economic expertise, you develop new products and services that are people-oriented. To achieve this, you utilize:
- your knowledge of the possibilities and limitations of digital technologies,
- Implementation skills for deploying such systems,
- a highly developed ability to recognize the value and potential use of data,
- and an understanding of interfaces within and between companies.
The Master's program in "Business Informatics" begins with 20 full-time study positions. However, the scheduling aims to consider the needs of working professionals as much as possible. This should allow for a potential professional activity, provided that employers are also flexible.
Curriculum
Study Content and Focus Areas
Graduates acquire solid competencies to work at the intersection of IT and management in the field of Digital Economy. The curriculum revolves around the following themes:
- Digital Economy,
- Business Models, Digital Products, Digital Processes,
- and Data Literacy.
These aspects are addressed from both the economic and technological perspectives and are integrated into areas such as Change Management, Business Ethics, Agile Software Development, Orchestration, and Cloudification. An example is the application of IT to make Circular Economy models competitive. Coaching elements will be incorporated to make the study program more efficient and effective, ensuring that practical implementation is not neglected.
The specializations
Students can choose from three specializations starting from the third semester:
- "New Technologies for Applied Artificial Intelligence": Deep Learning and Natural Language Processing.
- "Networking, Security, and Privacy": Data Security and Privacy with aspects like Network Reliability and Virtualization.
- "Digital Transformation in Operations and Supply Chain Management": Smart Production and Logistics, Digital Supply Network Collaboration
Curriculum
I Semester
- Agile HR Management & Cross Culture Management
- Analytics & Knowledge Discovery
- Data Literacy, -Awareness & -Security
- Data Science
- Informatics Technologies
- International Economic Relations
- New Business Models
- Software & Process Notations
II Semester
- Business Architecture
- Designing Value Creation Systems
- Innovation Economics & Digitalization
- Machine Learning
- Project 1: Ideate, Design, Implement, Reflect
- Robust & Explainable AI
- Software Architecture Integration
- Software Engineering & Operations
III Semester
- Big Data & Cloud Computing
- Business Analytics & Financial Modelling
- Business Process Management
- Digital Customer Management
- Ethics & Sustainability
- Master Seminar
- Project 2: Ideate, Design, Implement, Reflect
- SP: Digital Transformation in Operations & Supply Chain Management
- SP: Smart Production & Logistics
- SP: Networking, Security & Privacy
- SP: Foundations of IT Security
- SP: Network Reliability & Virtualization
- SP: New Technologies for Applied Artificial Intelligence
- SP: Deep Learning
- SP: Natural Language Processing
IV Semester
- Digitization & Responsibility
- Lecture Series
- Master Exam
- Master Thesis
- SP: Digital Transformation in Operations & Supply Chain Management
- SP: Digital Supply Network Collaboration
- SP: Digital Supply Network Collaboration
- SP: Networking, Security & Privacy
- SP: Secure Network Operations & Analytics
- SP: Secure Network Operations & Analytics
- SP: New Technologies for Applied Artificial Intelligence
- SP: Current Trends in AI
- SP: Current Trends in AI