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.
Those who can imagine anything, can create the impossible.
Pioneering computer scientist Alan Turing
A formula for success: theoretical knowledge + practical experience
The programme is built on three pillars.
The basics
Semesters 1-4
In the first four semesters you will concentrate on the fundamentals of applied informatics.
Lectures in theoretical informatics cover the key aspects of information processing, as well as statistical methods and techniques. You will apply what you have learned in the practical and technical informatics courses , including projects in which you will be required to develop practical solutions.
We place a strong emphasis on software engineering. Utilising programming tools and methods, you will develop high-quality software systems.
Data science is another key area. You will learn the basics of how data from various sources can be made available and analysed in order to draw conclusions that help to answer specific questions. You will also study interdisciplinary models and systems for the application-focused generation of knowledge from data. Using visualisation methods, we provide insights that can be put to use in business and science.
In order to provide a sound knowledge base, IT and IT-security-related legal requirements are examined in connection with all of the fields of application covered on the curriculumYou will also critically reflect on and discuss the impact of data generation, data use and the related technology on individuals and society from different ethical perspectives.
As projects form an important part of the programme, you will carry out practical work from the very start of your degree. There is a web project in the first semester, a software project in semesters 2 and 3, and the data science capstone project in semester 4.
Practical experience
Semester 5
Semester 5 is all about your internship. It is compulsory for all students and lasts 22 weeks. You choose where you want to do it – at a company or other type of organisation, or at an educational or research institution. In Austria or abroad? That’s up to you, too. More than half of our students use the internship as an opportunity to gain experience abroad. The internship semester, called the Practical Training Semester, is a unique chance to get a taste of life in another country, familiarise yourself with different approaches and pick up tips from other experts.
The IMC Career Center team and your lecturers will help you to find a placement where you can gain lots of useful experience for your future career.
Electives
Semester 6
When you get back from your internship, you choose one of the two specialist electives: Business Process and Enterprise Technologies or Bioinformatics. This gives you the opportunity to specialise in the core fields of software development, business consulting and data science with a strong practical focus.
In the Business Process and Enterprise Technologies elective, you work on adapting and developing enterprise resource planning (ERP) systems for companies or other types of organisations. This involves applying the software development methods and fundamental interface technologies you have learned about in order to integrate business applications into ERP systems. You will get to grips with the transformation and storage of business data, as well as data warehousing technologies. The elective also features a practical ERP consulting project involving the implementation of key work stages.
In the Bioinformatics elective you work with data analysis methods in a bioinformatics context. You will compile and transform raw data sets, and analyse and interpret them using data science methods. You will also apply the fundamental principles of visual computing and the data techniques you have studied in order to analyse biological and medical imaging data. A practical bioinformatics project covers the implementation of key steps in the work process.
Curriculum
What can you expect from your studies? The curriculum provides an overview.
Click on the individual courses for further information.
| Course | SWS | ECTS |
|---|---|---|
| Mathematics, Statistics and Theoretical Computer Science | ||
| Mathematics I | ||
| Mathematics I - Theory | 2 | 3 |
Mathematics I - Theory
Module:
Mathematics I
Root module:
Mathematics, Statistics and Theoretical Computer Science
Semester: 1
Course code:
MATIT1VO
Contact hours per week:
2
ECTS: 3
Course Content:
Course outcome:
Upon completion of the module, students are able to:
| ||
| Mathematics I - Exercise | 2 | 3 |
Mathematics I - Exercise
Module:
Mathematics I
Root module:
Mathematics, Statistics and Theoretical Computer Science
Semester: 1
Course code:
MATIE1UE
Contact hours per week:
2
ECTS: 3
Course Content:
Accompanying practical mathematical exercises to the lecture "Mathematics I - Theory" | ||
| Statistics and Probability in Computer Science | ||
| Statistics and Probability in Computer Science - Theory | 2 | 3 |
Statistics and Probability in Computer Science - Theory
Module:
Statistics and Probability in Computer Science
Root module:
Mathematics, Statistics and Theoretical Computer Science
Semester: 1
Course code:
SPCST1VO
Contact hours per week:
2
ECTS: 3
Course Content:
Course outcome:
Upon completion of the module, students are able to:
| ||
| Statistics and Probability in Computer Science - Exercise | 2 | 3 |
Statistics and Probability in Computer Science - Exercise
Module:
Statistics and Probability in Computer Science
Root module:
Mathematics, Statistics and Theoretical Computer Science
Semester: 1
Course code:
SPCSE1UE
Contact hours per week:
2
ECTS: 3
Course Content:
Accompanying practical exercises to the lecture "Statistics and Probability in Computer Science - Theory" | ||
| Software Engineering and Data Modelling | ||
| Web Technologies | 4 | 6 |
Web Technologies
Module:
Software Engineering and Data Modelling
Root module:
Software Engineering and Data Modelling
Semester: 1
Course code:
WT1ILV
Contact hours per week:
4
ECTS: 6
Course Content:
Course outcome:
Upon completion of this course, students are able to:
| ||
| Programming I | 4 | 6 |
Programming I
Module:
Software Engineering and Data Modelling
Root module:
Software Engineering and Data Modelling
Semester: 1
Course code:
PROGI1ILV
Contact hours per week:
4
ECTS: 6
Course Content:
Course outcome:
Upon completion of this course, students are able to:
| ||
| Computer Science and Society | ||
| Introduction: Applied Informatics | 1 | 1 |
Introduction: Applied Informatics
Module:
Computer Science and Society
Root module:
Computer Science and Society
Semester: 1
Course code:
IAI1VO
Contact hours per week:
1
ECTS: 1
Course Content:
Course outcome:
Upon completion of this course, students are able to:
| ||
| General Business Administration | 2 | 3 |
General Business Administration
Module:
Computer Science and Society
Root module:
Computer Science and Society
Semester: 1
Course code:
GBUS1VO
Contact hours per week:
2
ECTS: 3
Course Content:
Basics of Business Administration and overview on and principles of:
Course outcome:
Upon completion of this course, students are able to:
| ||
| Social Skills | ||
| Intercultural Competences | 1 | 2 |
Intercultural Competences
Module:
Social Skills
Root module:
Social Skills
Semester: 1
Course code:
IC1WK
Contact hours per week:
1
ECTS: 2
Course Content:
Course outcome:
Upon completion of this course, students are able to:
| ||
| Course | SWS | ECTS |
|---|---|---|
| Mathematics, Statistics and Theoretical Computer Science | ||
| Mathematics II | 2 | 3 |
Mathematics II
Module:
Mathematics, Statistics and Theoretical Computer Science
Root module:
Mathematics, Statistics and Theoretical Computer Science
Semester: 2
Course code:
MATII2ILV
Contact hours per week:
2
ECTS: 3
Course Content:
Course outcome:
Upon completion of this course, students are able to:
| ||
| Theoretical Computer Science and Logic | 2 | 3 |
Theoretical Computer Science and Logic
Module:
Mathematics, Statistics and Theoretical Computer Science
Root module:
Mathematics, Statistics and Theoretical Computer Science
Semester: 2
Course code:
TCSL2ILV
Contact hours per week:
2
ECTS: 3
Course Content:
Course outcome:
Upon completion of this course, students are able to:
| ||
| Algorithms and Data Structures I | 2 | 3 |
Algorithms and Data Structures I
Module:
Mathematics, Statistics and Theoretical Computer Science
Root module:
Mathematics, Statistics and Theoretical Computer Science
Semester: 2
Course code:
ADSI2ILV
Contact hours per week:
2
ECTS: 3
Course Content:
Course outcome:
Upon completion of this course, students are able to:
| ||
| Computer Systems | ||
| Database Systems | ||
| Database Systems - Theory | 2 | 2 |
Database Systems - Theory
Module:
Database Systems
Root module:
Computer Systems
Semester: 2
Course code:
DBST2VO
Contact hours per week:
2
ECTS: 2
Course Content:
Course outcome:
Upon completion of the module, students are able to:
| ||
| Database Systems - Exercise | 2 | 3 |
Database Systems - Exercise
Module:
Database Systems
Root module:
Computer Systems
Semester: 2
Course code:
DBSE2UE
Contact hours per week:
2
ECTS: 3
Course Content:
| ||
| Technical Foundations of Computer Science | 2 | 2 |
Technical Foundations of Computer Science
Module:
Computer Systems
Root module:
Computer Systems
Semester: 2
Course code:
TFCS2VO
Contact hours per week:
2
ECTS: 2
Course Content:
Course outcome:
Upon completion of this course, students are able to:
| ||
| Networking Technologies and Management Systems I | 2 | 2 |
Networking Technologies and Management Systems I
Module:
Computer Systems
Root module:
Computer Systems
Semester: 2
Course code:
NTMGTI2ILV
Contact hours per week:
2
ECTS: 2
Course Content:
Course outcome:
Upon completion of this course, students are able to:
| ||
| Software Engineering and Data Modelling | ||
| Programming II | 4 | 6 |
Programming II
Module:
Software Engineering and Data Modelling
Root module:
Software Engineering and Data Modelling
Semester: 2
Course code:
PROGII2ILV
Contact hours per week:
4
ECTS: 6
Course Content:
Course outcome:
Upon completion of this course, students are able to:
| ||
| Design Methodology in Human Computer Interaction | 2 | 3 |
Design Methodology in Human Computer Interaction
Module:
Software Engineering and Data Modelling
Root module:
Software Engineering and Data Modelling
Semester: 2
Course code:
DMHCI2ILV
Contact hours per week:
2
ECTS: 3
Course Content:
Course outcome:
Upon completion of this course, students are able to:
| ||
| Computer Science and Society | ||
| Reflections on Computer Science, Society and Ethics | 1 | 1 |
Reflections on Computer Science, Society and Ethics
Module:
Computer Science and Society
Root module:
Computer Science and Society
Semester: 2
Course code:
RCSSE2TU
Contact hours per week:
1
ECTS: 1
Course Content:
Course outcome:
Upon completion of this course, students are able to:
| ||
| Social Skills | ||
| Creative Thinking | 2 | 2 |
Creative Thinking
Module:
Social Skills
Root module:
Social Skills
Semester: 2
Course code:
CT2WK
Contact hours per week:
2
ECTS: 2
Course Content:
Course outcome:
Upon completion of this course, students are able to:
| ||
| Course | SWS | ECTS |
|---|---|---|
| Mathematics, Statistics and Theoretical Computer Science | ||
| Advanced Statistical Methods for Data Science | 2 | 4 |
Advanced Statistical Methods for Data Science
Module:
Mathematics, Statistics and Theoretical Computer Science
Root module:
Mathematics, Statistics and Theoretical Computer Science
Semester: 3
Course code:
ASMDS3ILV
Contact hours per week:
2
ECTS: 4
| ||
| Algorithms and Data Structures II | 2 | 3 |
Algorithms and Data Structures II
Module:
Mathematics, Statistics and Theoretical Computer Science
Root module:
Mathematics, Statistics and Theoretical Computer Science
Semester: 3
Course code:
ADSII3ILV
Contact hours per week:
2
ECTS: 3
Course Content:
Course outcome:
Upon completion of this course, students are able to:
| ||
| Computer Systems | ||
| Networking Technologies and Management Systems II | 2 | 3 |
Networking Technologies and Management Systems II
Module:
Computer Systems
Root module:
Computer Systems
Semester: 3
Course code:
NTMGTII3ILV
Contact hours per week:
2
ECTS: 3
Course Content:
Course outcome:
Upon completion of this course, students are able to:
| ||
| Operating Systems | 2 | 3 |
Operating Systems
Module:
Computer Systems
Root module:
Computer Systems
Semester: 3
Course code:
OS3ILV
Contact hours per week:
2
ECTS: 3
Course Content:
Course outcome:
Upon completion of this course, students are able to:
| ||
| Software Engineering and Data Modelling | ||
| Software Engineering and Project Management | 4 | 6 |
Software Engineering and Project Management
Module:
Software Engineering and Data Modelling
Root module:
Software Engineering and Data Modelling
Semester: 3
Course code:
SWEPM3ILV
Contact hours per week:
4
ECTS: 6
Course Content:
Course outcome:
Upon completion of this course, students are able to:
| ||
| Computer Science and Society | ||
| Reflections on Critical Algorithm Studies | ||
| Reflections on Computer Science, Society and Ethics | 1 | 1 |
Reflections on Computer Science, Society and Ethics
Module:
Reflections on Critical Algorithm Studies
Root module:
Computer Science and Society
Semester: 3
Course code:
RCSSEE3TU
Contact hours per week:
1
ECTS: 1
Course Content:
Course outcome:
Upon completion of this course, students are able to:
| ||
| Critical Algorithm Studies | 2 | 2 |
Critical Algorithm Studies
Module:
Reflections on Critical Algorithm Studies
Root module:
Computer Science and Society
Semester: 3
Course code:
CAS3SE
Contact hours per week:
2
ECTS: 2
Course Content:
Course outcome:
Upon completion of this course, students are able to:
| ||
| Process Management | 2 | 3 |
Process Management
Module:
Computer Science and Society
Root module:
Computer Science and Society
Semester: 3
Course code:
PSM3ILV
Contact hours per week:
2
ECTS: 3
Course Content:
Course outcome:
Upon completion of this course, students are able to:
| ||
| Computer Science and Law | 2 | 3 |
Computer Science and Law
Module:
Computer Science and Society
Root module:
Computer Science and Society
Semester: 3
Course code:
CSL3VO
Contact hours per week:
2
ECTS: 3
Course Content:
Course outcome:
Upon completion of this course, students are able to:
| ||
| Research and Scientific Working | ||
| Scientific Skills and Writing | 2 | 2 |
Scientific Skills and Writing
Module:
Research and Scientific Working
Root module:
Research and Scientific Working
Semester: 3
Course code:
SSW3PS
Contact hours per week:
2
ECTS: 2
Course Content:
Course outcome:
| ||
| Course | SWS | ECTS |
|---|---|---|
| Computer Systems | ||
| Distributed Systems | ||
| Distributed Systems - Theory | 2 | 3 |
Distributed Systems - Theory
Module:
Distributed Systems
Root module:
Computer Systems
Semester: 4
Course code:
DST4VO
Contact hours per week:
2
ECTS: 3
Course Content:
Course outcome:
Upon completion of the module, students are able to:
| ||
| Distributed Systems - Exercise | 2 | 3 |
Distributed Systems - Exercise
Module:
Distributed Systems
Root module:
Computer Systems
Semester: 4
Course code:
DSE4UE
Contact hours per week:
2
ECTS: 3
Course Content:
| ||
| IT Security | ||
| Risk Management | 2 | 3 |
Risk Management
Module:
IT Security
Root module:
IT Security
Semester: 4
Course code:
ITRM4VO
Contact hours per week:
2
ECTS: 3
Course Content:
Course outcome:
Upon completion of this course, students are able to:
| ||
| Cybersecurity and Data Protection | 3 | 4 |
Cybersecurity and Data Protection
Module:
IT Security
Root module:
IT Security
Semester: 4
Course code:
CSDP4VO
Contact hours per week:
3
ECTS: 4
Course Content:
Course outcome:
Upon completion of this course, students are able to:
| ||
| Data Science and Emerging Technologies | ||
| From Data Capturing to Analysis and Interpretation | ||
| Data Mining, Acquisition and Preparation | 2 | 3 |
Data Mining, Acquisition and Preparation
Module:
From Data Capturing to Analysis and Interpretation
Root module:
Data Science and Emerging Technologies
Semester: 4
Course code:
DMAP4ILV
Contact hours per week:
2
ECTS: 3
Course Content:
Course outcome:
Upon completion of this course, students are able to:
| ||
| Machine Learning, Artificial Intelligence and Big Data Analytics | 3 | 4 |
Machine Learning, Artificial Intelligence and Big Data Analytics
Module:
From Data Capturing to Analysis and Interpretation
Root module:
Data Science and Emerging Technologies
Semester: 4
Course code:
MLAIBD4ILV
Contact hours per week:
3
ECTS: 4
Course Content:
Course outcome:
Upon completion of this course, students are able to:
| ||
| Data Visualization, Presentation and Real-time Integration of Digital Products | 2 | 3 |
Data Visualization, Presentation and Real-time Integration of Digital Products
Module:
From Data Capturing to Analysis and Interpretation
Root module:
Data Science and Emerging Technologies
Semester: 4
Course code:
DVIS4ILV
Contact hours per week:
2
ECTS: 3
Course Content:
Course outcome:
Upon completion of this course, students are able to:
| ||
| Data Science Capstone Project | 3 | 4 |
Data Science Capstone Project
Module:
From Data Capturing to Analysis and Interpretation
Root module:
Data Science and Emerging Technologies
Semester: 4
Course code:
DSCP4WK
Contact hours per week:
3
ECTS: 4
Course Content:
Course outcome:
Upon completion of this course, students are able to:
| ||
| Computer Science and Society | ||
| Reflections on Computer Science, Society and Ethics | 1 | 1 |
Reflections on Computer Science, Society and Ethics
Module:
Computer Science and Society
Root module:
Computer Science and Society
Semester: 4
Course code:
RCSSE4TU
Contact hours per week:
1
ECTS: 1
Course Content:
Course outcome:
Upon completion of this course, students are able to:
| ||
| Research and Scientific Working | ||
| Bachelor Exposé Preparation | 1 | 2 |
Bachelor Exposé Preparation
Module:
Research and Scientific Working
Root module:
Research and Scientific Working
Semester: 4
Course code:
BP4PS
Contact hours per week:
1
ECTS: 2
Course Content:
Course outcome:
Upon completion of this course, students are able to:
| ||
| Course | SWS | ECTS |
|---|---|---|
| Practical Training Semester | ||
| Practical Training Semester (22 weeks à 30 hours) | 0 | 28 |
Practical Training Semester (22 weeks à 30 hours)
Module:
Practical Training Semester
Root module:
Practical Training Semester
Semester: 5
Course code:
PTS5BOPR
Contact hours per week:
0
ECTS: 28
Course Content:
| ||
| Practical Training Coaching Seminar | 1 | 2 |
Practical Training Coaching Seminar
Module:
Practical Training Semester
Root module:
Practical Training Semester
Semester: 5
Course code:
PTCS5SE
Contact hours per week:
1
ECTS: 2
Course Content:
| ||
| Course | SWS | ECTS |
|---|---|---|
| Data Science and Emerging Technologies | ||
| Current Trends and Emerging Technologies | 2 | 2 |
Current Trends and Emerging Technologies
Module:
Data Science and Emerging Technologies
Root module:
Data Science and Emerging Technologies
Semester: 6
Course code:
CTET6TU
Contact hours per week:
2
ECTS: 2
Course Content:
Course outcome:
Upon completion of this course, students are able to:
| ||
| Computer Science and Society | ||
| Reflections on Computer Science, Society and Ethics | 1 | 1 |
Reflections on Computer Science, Society and Ethics
Module:
Computer Science and Society
Root module:
Computer Science and Society
Semester: 6
Course code:
RCSSE6TU
Contact hours per week:
1
ECTS: 1
Course Content:
Course outcome:
Upon completion of this course, students are able to:
| ||
| Elective 1: Business Process and Enterprise Technologies | ||
| ERP-Consulting | ||
| Customizing | 3 | 6 |
Customizing
Module:
ERP-Consulting
Root module:
Elective 1: Business Process and Enterprise Technologies
Semester: 6
Course code:
IVF6ILV
Contact hours per week:
3
ECTS: 6
Course Content:
Course outcome:
Upon completion of this course, students are able to:
| ||
| Data Transformation and Data Warehousing | 3 | 3 |
Data Transformation and Data Warehousing
Module:
ERP-Consulting
Root module:
Elective 1: Business Process and Enterprise Technologies
Semester: 6
Course code:
DTDW6ILV
Contact hours per week:
3
ECTS: 3
Course Content:
Course outcome:
Upon completion of this course, students are able to:
| ||
| Integrated Value Flows | 2 | 3 |
Integrated Value Flows
Module:
Elective 1: Business Process and Enterprise Technologies
Root module:
Elective 1: Business Process and Enterprise Technologies
Semester: 6
Course code:
IVF6ILV
Contact hours per week:
2
ECTS: 3
Course Content:
Based on general business administration and operational processes
Course outcome:
Upon completion of this course, students are able to:
| ||
| Business Application Integration | 3 | 4 |
Business Application Integration
Module:
Elective 1: Business Process and Enterprise Technologies
Root module:
Elective 1: Business Process and Enterprise Technologies
Semester: 6
Course code:
BAI6VO
Contact hours per week:
3
ECTS: 4
Course Content:
Course outcome:
Upon completion of this course, students are able to:
| ||
| Elective 2: Bio Informatics | ||
| Image Processing and Visual Computing in Biology and Medicine | ||
| Image Processing and Visual Computing in Biology and Medicine - Theory | 2 | 2 |
Image Processing and Visual Computing in Biology and Medicine - Theory
Module:
Image Processing and Visual Computing in Biology and Medicine
Root module:
Elective 2: Bio Informatics
Semester: 6
Course code:
IPBMT6VO
Contact hours per week:
2
ECTS: 2
Course Content:
Course outcome:
Upon completion of this course, students are able to:
| ||
| Image Processing and Visual Computing in Biology and Medicine - Exercise | 1 | 2 |
Image Processing and Visual Computing in Biology and Medicine - Exercise
Module:
Image Processing and Visual Computing in Biology and Medicine
Root module:
Elective 2: Bio Informatics
Semester: 6
Course code:
IPBME6UE
Contact hours per week:
1
ECTS: 2
Course Content:
| ||
| Biological Foundations of Bio Informatics | 2 | 3 |
Biological Foundations of Bio Informatics
Module:
Elective 2: Bio Informatics
Root module:
Elective 2: Bio Informatics
Semester: 6
Course code:
BFBI6VO
Contact hours per week:
2
ECTS: 3
Course Content:
Course outcome:
Upon completion of this course, students are able to:
| ||
| Algorithms and Tools in Bio Informatics | 2 | 3 |
Algorithms and Tools in Bio Informatics
Module:
Elective 2: Bio Informatics
Root module:
Elective 2: Bio Informatics
Semester: 6
Course code:
ATBI6ILV
Contact hours per week:
2
ECTS: 3
Course Content:
Course outcome:
Upon completion of this course, students are able to:
| ||
| Big Data for Bioanalytics and Medicine | 4 | 6 |
Big Data for Bioanalytics and Medicine
Module:
Elective 2: Bio Informatics
Root module:
Elective 2: Bio Informatics
Semester: 6
Course code:
BDBM6ILV
Contact hours per week:
4
ECTS: 6
Course Content:
Course outcome:
Upon completion of this course, students are able to:
| ||
| Research and Scientific Working | ||
| Bachelor Seminar and Bachelor Paper | 1 | 8 |
Bachelor Seminar and Bachelor Paper
Module:
Research and Scientific Working
Root module:
Research and Scientific Working
Semester: 6
Course code:
BPA6BASE
Contact hours per week:
1
ECTS: 8
Course Content:
Course outcome:
Upon completion of this course, students are able to:
| ||
| Bachelor Exam | 0 | 2 |
Bachelor Exam
Module:
Research and Scientific Working
Root module:
Research and Scientific Working
Semester: 6
Course code:
BEX6AP
Contact hours per week:
0
ECTS: 2
Course Content:
Course outcome:
In the bachelor exam, students demonstrate their ability to:
| ||
| Social Skills | ||
| Communication and Presentation Skills | 1 | 1 |
Communication and Presentation Skills
Module:
Social Skills
Root module:
Social Skills
Semester: 6
Course code:
CPS6WK
Contact hours per week:
1
ECTS: 1
Course Content:
Course outcome:
Upon completion of this course, students are able to:
| ||
Key features
What makes our Informatics programme so special? Here’s an overview.
A career in a field that is shaping the future
Informatics is a growing discipline. In future, it will have an even more significant impact on our lives. Business, the environment and health – informatics is leaving its mark in all of these areas. As an informatics expert you will be able to play a role in advances in these fields. You will have the knowledge and skills to address ethical and social questions as well as technical challenges. Informatics is influencing how we live and work, perhaps to a greater extent than any other discipline.
Excellent career opportunities
A degree in informatics lays the foundations for a career, not just a job. You’ll have plenty of options at the end of your degree. You can go into software development, information-based decision making or IT consulting. There will be strong demand for informatics graduates from various sectors – in both Austria and abroad. And English as the language of instruction will stand you in very good stead.
Be part of a team
The job profiles of informatics experts have changed over time, and so have employers’ expectations of university graduates. Today there’s a strong focus on teamwork and practical application. IT development frequently employs ‘agile’ methods, meaning that developers are required to work with a high level of personal initiative, often in self-managing teams. On our Informatics programme, you will learn how to complete tasks and find new ways of storing, sharing and exploiting data as part of a team. Because it’s team players who will shape the future.
Newsletter & additional information
Do you need additional information? Subscribe to your personalised newsletter or order brochures about our degree programmes.
Get additional information nowKey skills
When you graduate from the bachelor programme, you will have developed broad-based professional and theoretical expertise, as well as strong practical skills.
You will learn how to develop technical tools and software applications, including artificial intelligence algorithms. The skills required for working with large heterogeneous data sets are essential – data science expertise, in other words. Our graduates are able to generate and visualise information from data organised in real-time.
You will be able to maintain a strong user focus and think beyond the confines of your specialist field. These are skills that will boost your employability when it comes to developing interdisciplinary applications, involving areas of biology or business, for instance.
On this programme, you will learn how to independently conduct research to answer practical questions. This encompasses aspects such as researching academic literature, selecting appropriate methods and drawing conclusions, as well as formulating and providing the rationale for solutions.
Highly skilled, creative team players with a strong sense of responsibility: these are the type of graduates that we want to produce – people who society urgently needs in an age of automated data generation. Because informatics has a bearing on ethics and socials issues, too.
Career paths
Informatics graduates can enter a range of professions and sectors.
Courses on the programme are taught in English so you will be ideally prepared for the workplace – whether you’ve set your sights on a career in Austria or abroad. In many companies and organisations today, English is used internally as well as when communicating with business partners and customers.
In additional to professional expertise, this degree will also equip you with the language skills you need to get your working life off to a great start or move up the career ladder.
- Potential entry-level positions
- Software development: front end, back end, web (for external or in-house clients)
- Data science: data collection, cleansing, analysis and interpretation (for external or in-house clients)
- IT consulting: advising clients and adapting software solutions
- Business intelligence engineering: developing and operating ERP, DWH and BI systems (for and in companies)
10 good reasons
What makes us special? We are more than happy to tell you about the aspects of our university, which we are especially proud of.
Krems
Friendly and cosmopolitan: The city attracts students from all over the world, who come to study, research and work together.
Service centers
Our university has removed a host of administrative hurdles, leaving you free to concentrate fully on your studies.
Advisory Service
Do you have questions regarding our degree programmes or the application? Contact our Prospective Student Advisory Service.
Our Team
Get to know the core team of our bachelor degree programme Informatics.
![Dipl. Ing. Dr. techn. Deepak Dhungana - IMC Fachhochschule Krems]()
Dipl. Ing. Dr. techn. Deepak Dhungana
Programme Director Informatics
Institut Digitalisation
- Software Engineering, Requirements Engineering, Software Architecture, Systems design- analysis and validation
- Adaptability and Flexiblilty in Systems design, Configuration and Re-configuration of systems, Product Line Engineering
- Data-driven Systems, Business Analytics and Monitoring, Industry 4.0
Dipl. Ing. Dr. techn. Deepak DhunganaProgramme Director InformaticsProgramme Director Informatics
Dipl. Ing. Dr. techn. Deepak Dhungana
- Core Competencies
- Software Engineering, Requirements Engineering, Software Architecture, Systems design- analysis and validation
- Adaptability and Flexiblilty in Systems design, Configuration and Re-configuration of systems, Product Line Engineering
- Data-driven Systems, Business Analytics and Monitoring, Industry 4.0
![Dipl.-Ing. Dr. Roger Hage - IMC Fachhochschule Krems]()
Dipl.-Ing. Dr. Roger Hage
Programme Director Digital Business Innovation and Transformation
Institut Digitalisation
- Digital Transformation
- International Business Develoipment
- R Programming
-
eMobSim - Elektromobilität im Alltag
Department of Business
Dipl.-Ing. Dr. Roger HageProgramme Director Digital Business Innovation and Transformation![Dr. Dipl.-Wirt.-Inf. Helena Lovasz-Bukvova, MRes - IMC Fachhochschule Krems]()
Dr. Dipl.-Wirt.-Inf. Helena Lovasz-Bukvova, MRes
Professor Department of Business
Institut Digitalisation
- E-Learning
- Data Analysis
- Reserach methodology
- Digital Business Innovation and TransformationMaster of Arts in Business / part-time
- International Business and Economic Diplomacy*Master of Arts in Business / part-time
- InformaticsBachelor of Science in Engineering / full-time
- Business AdministrationBachelor of Arts in Business / full-time
- UnternehmensführungBachelor of Arts in Business / full-time
- UnternehmensführungBachelor of Arts in Business / part-time
- MarketingMaster of Arts in Business / full-time
-
eMobSim - Elektromobilität im Alltag
Department of Business
Dr. Dipl.-Wirt.-Inf. Helena Lovasz-Bukvova, MResProfessor Department of Business![Prof.(FH) Denise Kleiss, MSc., MBA, B.A. - IMC Fachhochschule Krems]()
![Prof.(FH) Denise Kleiss, MSc., MBA, B.A. - IMC Fachhochschule Krems]()
Prof.(FH) Denise Kleiss, MSc., MBA, B.A.
Professor Department of Business
Institute International Business
- Human Resource Management
- Tourism Management and Business
-
Enterprise 4.0 – Erfolg im digitalen Zeitalter
Department of Business
Prof.(FH) Denise Kleiss, MSc., MBA, B.A.Professor Department of Business
Application and admissions – the next steps
You've found a course that's a perfect fit? Great – you’ve already taken the most important step! We’ve put together an overview to guide you through the next steps.
Admission requirements
We'll be happy to inform you about the requirements you have to meet in order to apply.
Admission requirements
What are the admission requirements for bachelor programmes?
To qualify for admission to a university of applied sciences bachelor degree programme, you must have an Austrian school-leaving certificate or an equivalent qualification.
Do you have a school-leaving certificate issued outside Austria?
We’ll check to make sure it’s equivalent to an Austrian certificate in accordance with section 4 of the University of Applied Sciences Studies Act (FHStG) when you’ve sent us all the relevant documentation via our online application tool. If it is not an equivalent, you’ll receive information on the supplementary examinations you’ll need to pass.
What proof of your language skills is required for our English-language bachelor degree programme?
We’ll assess your English language proficiency at your interview, so there is no need to provide additional evidence of your English skills.
Important
Do you still need to complete your military or alternative service? If you’re a male Austrian citizen, we strongly recommend completing your compulsory national service before beginning your studies. This will allow you to finish your degree with no interruptions and start your career without delay afterwards.
Admissions procedure
Preparation is everything – read up on the admissions procedure in detail.
Admissions procedure
Application interview
We would like to get to know you as a person. In the course of the online application process, you will have to write a letter of motivation. This letter of motivation also contains a selection of topics with various related questions. You should select a topic, do some research in order to find additional information and answer the questions in your letter of motivation by completing the fields provided on the online application form.
Your letter of motivation forms the basis for your application interview. Every applicant has an opportunity to introduce themselves in a face-to-face discussion, usually with the degree programme director. In addition to the personal introduction, the applicant and the interviewer discuss the topic selected and the arguments used in the letter of motivation, as well as the topic’s relevance for the degree programme.
The application interview takes place in the language of instruction of the degree programme and can also be held by video call where justified.
The letter of motivation and the interview are assessed on the basis of the applicant’s content-related remarks, the manner in which they express themselves and the arguments used.
Interview dates
There are usually a selection of dates to choose from, with quotas allocated for each date. You can select a date and time slot during the online registration process. We therefore recommend that you complete your application in good time so that you can benefit from the full selection of dates.
Get an overview of the dates for your programme.
Admission Interview
19/02/202019/03/202020/04/202020/05/202025/06/2020Important dates and deadlines
What deadlines do you need to keep an eye on for your online application? Get an overview.
Apply online
You've decided for one of our degree programmes? First of all: congratulations and thank you for choosing us! We’ll be happy to guide you step-by-step through your online application.
Study-relevant dates
You would like to plan ahead and would like to know when your degree programme starts? Here you will find the answer!
Questions about the degree programme?
Prospective Student Advisory Service
Do you have questions regarding the entry requirements, the admission procedure and more? Our Prospective Student Advisory Service is happy to help.
Ask a Student
Join our Facebook group: Direct your questions to our students and get first-hand accounts about studying at IMC Krems.
Facebook groupSimilar degree programmes
Applied Chemistry
