Applied Data Science MSc
Carinthia University of Applied Sciences
Program description
Applied Data Science (work-friendly)*
Master of Science in Engineering
The continuing trend towards the digitalization of work processes and the immense amount of data to be processed are subjects of current business practice. Companies have collected large amounts of data in recent years and are now faced with the challenge of exploiting these data collections and generating added value for their business areas. They are looking for qualified data scientists who can generate relevant information from large amounts of data and derive recommendations from the processed data.
BECOMING A DATA SCIENTIST
A data scientist is expected to be familiar with the entire data value chain. Therefore, graduates of the Master of Science degree program have a practical as well as theoretical understanding in all of the following areas:
- Data acquisition
- Data transmission
- Data storage
- Data evaluation
- Data visualization
- Legal and ethical frameworks
Moreover, graduates can use their acquired professional and methodological competence to pursue a further scientific specialization in the form of a PhD at a technical university.
Program content
1st Semester
- Information and Probability Theory
- Statistics
- Data Source & Data Quality
- Introduction to Machine Learning
- Unsupervised Learning
- Project I: Prerequisits and Project Domains
2nd Semester
- Data Architecture & Database Technologies I
- Artificial Neural Networks & Deep Learning I
- Data Engineering
- Data Visualization l
- Supervised Learning
- Project ll: Frameworks and Concept Study
3rd Semester
- Data Architecture & Database Technologies II
- Artificial Neural Networks & Deep Learning ll
- Advanced Topics
- Data Visualization ll
- Academic Skills
- Project lll: Practical Implementation
4th Semester
- Data Privacy Ethics
- Master Thesis
- Master Seminar
- Master Exam
Tuition fees
Tuition fee: € 363.36 per semester
Student Union Fee: around € 20, annual adjustment
Qualification
- Academic Degree: Master of Science in Engineering (MSc)
- ECTS Credits: 120
Career opportunities
Graduates of the Master of Science degree program “Applied Data Science” are highly-educated specialists with exciting career opportunities in different fields of work. The leading employers for data scientists are typically from the following areas:
• Public and private research institutions
• Banks
• Manufacturers
• Large retailers
• E-commerce companies
• Internet service providers
• Public and private transport companies
• Marketing departments/agencies
Contact school
About this institute
Carinthia University of Applied Sciences
The Carinthia University of Applied Sciences is an internationally oriented university that cooperates with more than 160 institutions of higher education worldwide. Open-minded and without borders, the CUAS is located in Austria at the intersection of three cultures in the...
Why study at Carinthia University of Applied Sciences
CUAS lives the vision of direct practical experience. Full- and part-time lecturers, as well as guest speakers from industry and business ensure an interdisciplinary, internationally oriented education.
The quality of our education is emphasized through the development of innovative teaching and learning methods, such as, blended learning, which offers students and professors greater flexibility in the creation of a suitable learning environment.
Research and development make an important contribution to transforming broad university knowledge into practical application solutions and to promoting cooperation between companies and universities. The research priorities are bundled in a disciplinary and interdisciplinary manner and are dealt with thematically in 16 research groups and three research centres.
Contact info
Carinthia University of Applied Sciences
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