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Informatics bachelor degree programme

Would you like to play a creative role in shaping the ways in which we will live and work in the future? Are you also interested in technology-related fields? Then our Informatics programme is the perfect choice for you!

One thing’s for sure: informatics has had a bigger impact on developments in how we live and work than any other field over the past few decades, and will grow in significance over the years to come.

The degree programme: Bachelor of Science in Engineering (BSc)

As of autumn 2019 the IMC University of Applied Sciences Krems will offer the english taught Bachelor degree programme Informatics. 

Informatics is a key driver of innovation that is fuelling advances in many aspects of working and everyday life. Computers make it possible to model and predict economic, ecological and social developments; bioinformatics supports the development of new drugs; and thanks to machine learning, large volumes of data become clear and readable, while pattern recognition turns it into a valuable resource with a variety of potential applications. Informatics opens up new options for creating economic added value, protecting the environment and saving lives.

IMC Krems’ English-language Informatics Bachelor degree programme is aimed at people who are interested in technology-related subjects and want to play a creative part in shaping aspects of the way we will live and work in the future. The programme includes a specialisation in data science, as well as electives with a strong practical focus: Business Process and Enterprise Technologies and Bioinformatics.

Graduates can look forward to a wide range of career options, including in software development, information-based decision making and IT consulting. They will be in strong demand both in Austria and abroad, with a skills set aligned with future requirements.

This programme provides you with a broad, non-industry-specific education in informatics and will qualify you for entry level roles in a wide range of organisations and industries, as well as advanced master-level study.

“Computer science is not about machines, in the same way that astronomy is not about telescopes.” (Edsger Wybe Dijkstra)

Informatics

Informatics graduates are experts in the ways in which science and technology can help us to process information, translate it into knowledge and then make this knowledge accessible in the form of services. Graduates can work as software developers, data scientists and IT consultants, and develop human-computer interaction interfaces.

The internet of things, Industry 4.0 and social media, as well as the exponential growth in storage capacity and the increase in cloud-based processing power are all synonymous with transformative information-based technologies.

Knowledge and advances in informatics are key drivers of innovation which lead to developments in other fields. This discipline puts a strong focus on teamwork and practical application.

3 computers
copy_vectorfusionart _AdobeStock
1 student at the computer
Those who can imagine anything, can create the impossible.
Pioneering computer scientist Alan Turing

Curriculum

What can you expect from your studies? The curriculum provides an overview.
Click on the individual courses for further information.

CourseSWSECTS
Mathematics, Statistics and Theoretical Computer Science
Mathematics I
Mathematics I - Theory 23
Mathematics I - Exercise 23
Statistics and Probability in Computer Science
Statistics and Probability in Computer Science - Theory 23
Statistics and Probability in Computer Science - Exercise 23
Software Engineering and Data Modelling
Web Technologies 46
Programming I 46
Computer Science and Society
Introduction: Applied Informatics 11
General Business Administration 23
Social Skills
Intercultural Competences 12
CourseSWSECTS
Mathematics, Statistics and Theoretical Computer Science
Mathematics II 23
Theoretical Computer Science and Logic 23
Algorithms and Data Structures I 23
Computer Systems
Technical Foundations of Computer Science 22
Networking Technologies and Management Systems I 22
Database Systems
Database Systems - Theory 22
Database Systems - Exercise 23
Software Engineering and Data Modelling
Programming II 46
Design Methodology in Human Computer Interaction 23
Computer Science and Society
Reflections on Computer Science, Society and Ethics 11
Social Skills
Creative Thinking 22
CourseSWSECTS
Mathematics, Statistics and Theoretical Computer Science
Advanced Statistical Methods for Data Science 24
Algorithms and Data Structures II 23
Computer Systems
Networking Technologies and Management Systems II 23
Operating Systems 23
Software Engineering and Data Modelling
Software Engineering and Project Management 46
Computer Science and Society
Process Management 23
Computer Science and Law 23
Reflections on Critical Algorithm Studies
Reflections on Computer Science, Society and Ethics 11
Critical Algorithm Studies 22
Research and Scientific Working
Scientific Skills and Writing 22
CourseSWSECTS
Computer Systems
Distributed Systems
Distributed Systems - Theory 23
Distributed Systems - Exercise 23
IT Security
Risk Management 23
Cybersecurity and Data Protection 34
Data Science and Emerging Technologies
From Data Capturing to Analysis and Interpretation
Data Mining, Acquisition and Preparation 23
Machine Learning, Artificial Intelligence and Big Data Analytics 34
Data Visualization, Presentation and Real-time Integration of Digital Products 23
Data Science Capstone Project 34
Computer Science and Society
Reflections on Computer Science, Society and Ethics 11
Research and Scientific Working
Bachelor Exposé Preparation 12
CourseSWSECTS
Practical Training Semester
Practical Training Semester (22 weeks à 30 hours) 028
Practical Training Coaching Seminar 12
CourseSWSECTS
Elective 1: Business Process and Enterprise Technologies
Integrated Value Flows 23
Business Application Integration 34
ERP-Consulting
Customizing 36
Data Transformation and Data Warehousing 33
Elective 2: Bio Informatics
Biological Foundations of Bio Informatics 23
Algorithms and Tools in Bioinformatics 23
Big Data for Bioanalytics and Medicine 46
Image Processing and Visual Computing in Biology and Medicine
Image Processing and Visual Computing in Biology and Medicine - Theory 22
Image Processing and Visual Computing in Biology and Medicine - Exercise 12
Computer Science and Society
Reflections on Computer Science, Society and Ethics 11
Data Science and Emerging Technologies
Current Trends and Emerging Technologies 22
Social Skills
Communication and Presentation Skills 11
Research and Scientific Working
Bachelor Seminar and Bachelor Paper 18
Bachelor Exam 02

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