Admission requirements

To be admitted, you need the general qualification for university entrance (A-levels), a subject-specific higher education entrance qualification, or an equivalent education recognized as such. In addition, current employment or training is required.

If you are currently not employed but seek employment, you can contact the student advisory service. They will be happy to assist you and jointly review your individual admission requirements.

Details

The Bachelor's programme in Computer Science (B.Sc.) at FOM University prepares you practically for the demands of the digital world. You will acquire comprehensive IT skills to develop, test, and evaluate IT systems. Topics include Big Data, Artificial Intelligence, and Data Security. The course is aimed at professionals and trainees who are interested in technological developments and the Internet of Things and wish to qualify in a sought-after professional field.

Through practical training, you will be able to develop, test, and analyse IT systems. Students will develop software solutions for real-world applications during the course and also delve into areas such as Business Intelligence, Embedded Systems, User Experience (UX), and Cloud Computing.

The programme allows you to build up specialist knowledge alongside your professional activities. You can study part-time at many locations in Germany or complete the programme entirely online, providing you with a high level of flexibility in managing your study time. The course content includes:

IT Basics: Fundamentals of IT, Computer system architectures, Development of application systems

Mathematical Foundations of Computer Science: Discrete Mathematics (Linear Algebra), Analysis (Functions)

Programming Concepts: Introduction, Types, Operators, Control structures, Program structure

Theoretical Computer Science: Automata theory, Formal languages, Compilers, Complexity theory

Time and Self Management: Time management, Self-optimization methods, Learning checks

Quantitative Methods in Computer Science: Statistics, Numerics

Databases: Relational and NoSQL databases, Database practice with SQL

Cloud Technology: Cloud concepts and their legal and operational aspects

Business Information Systems: Integrated processes, Customizing

Scientific Work: Schedule planning, Formal requirements, Research methods

Algorithms and Data Structures: Complexity, Sorting, Searching

Dynamic Programming Language Concepts: Types, Functions

Business Intelligence & Analytics: Data modeling, Big Data, Data Lake

AI: Agents, Logics, Machine Learning

Project Management: Stakeholder and Risk Management, Agile Management

Software Engineering: Modeling of software systems, ISO / OSI

UX and Web Technologies: Paradigms of human-technology interaction, Usability Engineering

Digital Transformation: Digital Business, Trend Analysis

Big Data & Data Science: Data Warehousing, Data Mining

Technology Trends & Innovation Management: Technological developments, Innovation research

Information Security & Data Protection: Security management, Threat identification

Project: Embedded Systems, IoT, SmartX: Cyber-Physical Systems

Exposé: Requirements for academic work

Thesis / Colloquium: Written thesis, Oral examination

You will complete the programme with a nationally and internationally recognized Bachelor's degree. With the knowledge you acquire, exciting career opportunities in technical implementation and validation of IT systems, analysis and design of IT architectures, development of mobile solutions, and shaping digital business strategies will open up to you.