Bachelor's in Computer Science

Introduction to Computer Science

Overview: Learn fundamental computer science concepts, including algorithmic thinking, computer networks, and computational logic.

Skills: Develop problem-solving abilities using programming languages and logical structures.

Real-world application:

• Design and implement small automation scripts to streamline everyday tasks, such as processing large sets of customer data in Excel using Python.

• Develop a simple chatbot that responds to basic user queries, helping businesses automate customer service.

• Create a program that organizes and sorts large datasets, useful for companies managing inventory, finances, or user records.

Web Application Development

Overview: Learn the principles of web technology and full-stack development using modern frameworks.
Skills: Create interactive, responsive websites with HTML, CSS, JavaScript, and server-side scripting.
Learning outcomes: On successful completion, students will be able to:

• Identify important elements and describe the structure of current web application architectures.

• Write simple static web pages using HTML.

• Design simple web pages using CSS.

• Store and handle structured information using XML.

• Programme simple dynamic web content using PHP.

Computer Architecture and Operating Systems

Overview: Explore how computer architecture and operating systems interact, including memory management and CPU performance.
Skills: Understand system programming, process scheduling, and system optimization.
Learning outcomes: On successful completion, students will be able to:

• Explain the basic concepts of computer architecture.

• Compare the different types of computer hardware.

• Describe the meaning and functionality of simple assembly programmes.

• Explain the basic functions of operating systems.

Theoretical Computer Science and Mathematical Logic

Overview: Explore foundational theories of computation, formal languages, and the mathematical logic underlying programming and algorithms.

Skills: Formulate logical relationships, analyse computational models, and apply advanced concepts in computability and complexity.

Learning outcomes: On successful completion, students will be able to:

• Formulate and translate predicate logical relationships into programming languages.

• Use finite automatons and regular expressions to describe technical facts.

• Explain the Chomsky hierarchy.

• Identify the limits of provability and predictability.

• Explain the meaning and relevance of the P=NP problem.

• Apply Petri nets for the description of technical facts.

Internship: Computer Science & Business Information Systems

• Gain some practical experience by applying your knowledge in real projects, working with industry professionals, and strengthening the skills you’ll need in your future career.

Bachelor Thesis

Overview: Conduct a comprehensive independent project that demonstrates your ability to develop original, research-led solutions using computer science.

Skills: Manage a full project lifecycle from question design to data collection, analysis, and interpretation.

Prospective students must have a university entrance qualification, demonstrating their English language skills and foundational knowledge in science stream subjects such as mathematics and physics. While the programme is taught in English, students may benefit from German language skills if they plan to work in Germany after graduation.

Yes, IU offers opportunities for students to continue their education with a master’s degree in fields such as cyber security and computer science, allowing graduates to further specialise in their chosen area.

Specialisations in the Bachelor Computer Science programme allow you to focus your studies on a specific area of the tech field. You can choose between Applied AI and Data Science, enabling you to deepen your knowledge through targeted modules, practical projects, and industry-relevant skills. While the core curriculum builds your overall computer science foundation, the specialisation helps you develop expertise that aligns with your career goals and strengthens your professional profile.

If you prefer a broader academic focus, you can also choose the non-specialisation track, which allows you to complete the programme without committing to a specific specialisation.

IU offers a flexible degree programme with an industry-relevant curriculum, expert faculty, and international career opportunities. Our bachelor of science programme ensures you graduate with cutting-edge skills and hands-on experience, ready to thrive in today’s job market. As an internationally recognised German university, IU provides access to top-tier education and networking opportunities with global employers.

Yes! IU welcomes international students from all backgrounds. Our bachelor's programme is designed to be globally accessible, with flexible learning options and support services to help students succeed in their studies and future careers.

Apply Now

IU does not currently offer a dedicated on-campus Bachelor’s degree in Cyber Security. The closest Bachelor-level route is the BSc Computer Science, where you can build a broad computer science foundation and, in the non-specialisation track, take the elective module Introduction to Data Protection and Cyber Security.