MSc in Applied Data Science
Master's Program
The English-language master’s program in Applied Data Science at CU Carinthia University of Applied Sciences prepares you to professionally manage the entire data lifecycle. You’ll learn to process, analyze, and responsibly utilize large and complex datasets, while also taking into account ethical considerations, data protection, and legal frameworks.
Advancing digitalization is transforming companies, organizations, and entire industries. Data is a key resource for better understanding processes, making informed decisions, and developing innovative solutions.
The English-language Master’s program in Applied Data Science equips you with in-demand skills at the intersection of data engineering, data analysis, artificial intelligence (AI), machine learning, statistics, data management, and applied knowledge. You’ll apply your knowledge directly through practice-oriented courses and projects.
Understand more. Design better.
During your studies, you will learn not only to apply data-driven and AI-powered solutions, but also to understand their fundamentals, capabilities, and limitations. This will enable you to make informed choices about methods, critically evaluate results, and responsibly refine applications.
Take Advantage of the Network
Through active partnerships with companies and a strong network of industry experts, you’ll gain valuable practical insights throughout your studies.
Great prospects. Everywhere.
Data scientists are in high demand across many industries–from manufacturing, research, and healthcare to energy, retail, and finance. With your expertise in applied data science, you’ll play an active role in shaping data-driven decisions, intelligent solutions, and innovations.
Your Path to Becoming a Data Scientist.
Join us in developing the expertise to understand data, design intelligent solutions, and implement innovative strategies for a data-driven era.
Special features of the Program
Practical. Data-driven. Forward-thinking.
You will develop data-driven solutions for specific challenges in business, technology, and society—ranging from the analysis of large and complex datasets to AI-powered decision-making models and modern applications in data engineering and data visualization. Together with companies and research partners, you’ll apply the latest methods in applied data science to real-world projects and gain valuable experience for your future career.
Research.
You’ll work on real-world problems in business, technology, research, and society, and develop data-driven solutions for complex decision-making processes. In doing so, you’ll apply methods such as machine learning, artificial intelligence, data engineering, statistics, and data analysis in a practical setting.
From the database to practical application.
Data scientists shape the entire data value chain—from collection, transmission, and storage, through processing and analysis, to visualization and the responsible use of data. The Applied Data Science master’s program provides students with a solid theoretical foundation and practical skills in key areas such as:
- Data collection, data transmission,
- Data storage
- Data preparation and data analysis
- Data visualization
- Legal and Ethical Frameworks
Graduates are thus able to holistically develop data-driven solutions, critically evaluate them, and implement them in various fields of application. In addition, the program offers the opportunity to further deepen the acquired technical and methodological skills through a doctoral program at a technical university.
Details about the program
Info Box
Level of qualification
Master
ECTS credits
120
Tuition fees*
€ 363.36 / Semester
ÖH (Austrian Student Union) fee
€ 26.20 / Semester
Qualification awarded
Master of Science in Engineering
Duration of study
4 Semester
Language of instruction
English
CU Campus
Villach
Dates Info Box
Winterterm 2026
Period I: 01.11.-15.03.26*
Period II + III: 16.03.-15.07.26
Period IV: 16.07.-30.09.26**
* Applicants from Middle East, Africa, East Asia, South Asia and Southeast Asia may only apply during this period due to Visa Processing
**We reserve the right to close this period early.
The semester starts in October - we only offer intake in winterterm!
The start of lectures can be found in the individual timetable which is available after enrollment.
Wednesday & Thursday from 16:50 h
Friday from 13:30 h
approx. 2 Saturdays/month & 5 working days per semester (Classroom teaching with online parts)
An overview on our upcoming events can be found here.
Language of Instruction: English (min B2)Application essentials:
More information on the application process, admission requirements and necessary documents can be found here.
Bachelor Degree with a Minimum of
- Computer Science Basics and Programming (10 ECTS)
- Mathematics / Statistics / Algorithmics (10 ECTS)
- Data Management / Databases / Data Structures (5 ECTS)
* Tuition for non-EU/EEA citizens: €500 + €26.20 ÖH fee (per semester)
FAQ
Frequently asked questions about the Master’s Degree Program
in “Applied Data Science”
Who is this master's program intended for?
This degree program is designed for anyone who wants to understand, analyze, and use data responsibly. If you have an analytical mindset and are interested in digitalization, AI, and data-driven solutions, this program will provide you with the ideal foundation for a future-oriented career.
What are the requirements?
Applicants must hold a bachelor’s or diploma degree in a technical field from an accredited university. This degree must include at least 10 ECTS credits in computer science and programming, 10 ECTS credits in mathematics, statistics, or algorithms, and 5 ECTS credits in data management, databases, or data structures.
What happens if I don't have any knowledge of databases?
Students who have already been admitted and are missing ECTS credits in data management, databases, or data structures can earn them by taking a preparatory summer course at CU University of Carinthia.
Book an online information session
During the online information sessions, the program directors or academic directors provide detailed information about the program. Topics include course content, internships, admission requirements, and potential career prospects.
Prof. Dr. Markus Prossegger, University of Applied Sciences
Director
of d.kofler(at)cuas.at
Research and Teaching Facilities
The laboratories at CU Carinthia University provide a modern infrastructure that supports hands-on learning and innovative research. Equipped with state-of-the-art technologies and specialized equipment, they enable students and researchers to work on projects across a wide range of fields, including engineering, computer science, business, and health.
The laboratories are designed to meet current industry standards and requirements, providing an ideal environment for developing new ideas, technologies, and solutions.
INFORMATION & APPLICATION
Virtual Campus Tour
Contact
Dagmar Kofler
Administration
d.kofler(at)cuas.at
On foot
From the Villach Seebach train station, you can reach the campus in about 20 minutes on foot (1.6 km). The route follows the Drau River to the campus.
By public transportation
The campus is directly accessible from Villach Central Station via bus lines 3 and 8 to the “Technologiepark” stop. From the Villach Seebach train station, you can also reach the campus by taking bus line 8 to the “Technologiepark” stop. The Villach city bus schedules are coordinated with the ÖBB schedules.
By car
Coming from Klagenfurt/Vienna, take the A2 Südautobahn to the Wernberg exit. From there, follow the B83 Kärntner Straße toward Villach for about 2 km, then follow the signs toward Magdalenen See or Technologiepark.
Coming from Salzburg/Munich via the A10 Tauern Autobahn, take the Villach/Ossiacher See exit and follow the B33 Kärntner Straße for about 2 km toward Wernberg/Klagenfurt. Then turn toward Magdalenen See and follow the road to the Technology Park.
There are several free parking spaces right in front of the building, and additional paid parking spaces are available in the surrounding area.
By Plane
There are several airports in the area:
- Klagenfurt: approx. 30-minute drive
- Ljubljana (Slovenia): approx. 1-hour drive
- Graz: approx. 2-hour drive
- Salzburg: approx. 2-hour drive
- Trieste and Venice (Italy): about 2 to 3 hours by car
- Vienna: about a 4-hour drive
- Munich: approx. 4-hour drive
From there, you can continue your journey to the Villach campus by train, bus, taxi, or car.