- 3 flexible time models from full-time to part-time for every situation
- interesting specializations, such as in Blockchain and Quantum Computing
- innovative learning concept with IU Learn app and digital lectures
Who is the Master's programme in Computer Science at IU suitable for?
The Master's distance learning course in Computer Science at IU is aimed at those who already have a first degree in Computer Science or a related field and wish to further specialize in areas such as Software Development, IT Security, Artificial Intelligence, and modern IT technologies. Particularly beneficial are those who have professional experience in IT and are looking to take the next step in their careers - such as towards project management, technical leadership, IT architecture, or specialized roles like Machine Learning or Cyber Security. The flexible online study model makes the program ideal for working professionals, career changers, parents, or busy individuals who want to manage their studies independently in terms of time and location.
Admission requirements for the Computer Science Master's at IU
Completed first degree: A first degree with at least 180 ECTS credits in Computer Science or a related field from a state or state-recognized university is required.
First degree in a different field: Those with a degree in a different field can be admitted through an individual assessment. This requires the successful completion of two defined modules within one year of starting the course.
Grade requirement: The final grade in the first degree should be at least "Satisfactory" (up to 3.5). Even with a Bachelor's degree between 3.5 and 4.0, you can be admitted if you can demonstrate relevant Master's-level achievements (at least 40 ECTS) from a comparable Master's programme or present a relevant Master's degree. Certain further educations at DQR7 level (e.g. Postgraduate Diplomas) are also accepted if they meet the required scope.
German language proficiency: Applicants with a foreign degree need a recognized proof of German language proficiency, e.g. through TestDaF (at least 3 points in each section), DSH (DSH1), Telc Deutsch B2, or ÖSD B2. The certificate must not be older than 5 years.
Recognition of previous achievements: Previously acquired ECTS, further education, or relevant work experience in the IT sector can be credited towards the degree. This enables a reduction in the duration of study and a reduction in tuition fees.
Personal requirements: Does the IU Computer Science distance programme suit you?
- Self-motivation and self-organization: As the study is carried out through distance learning and self-study, you should be good at working independently, planning, and organizing yourself.
- Interest in innovation and technology: The advanced contents (e.g. artificial intelligence, blockchain, cloud technologies) require openness to technical trends and digital tools.
- Analytical thinking: Mathematical and logical understanding facilitate the study, especially in topics like algorithms or software engineering.
- Goal-oriented: You want to position yourself for challenging tasks in the IT field - either for a career as a Software Engineer, Security Engineer, IT Coordinator, or as a specialist in emerging fields like Data Science, Web Technologies, or mobile applications.
- Flexibility: By choosing between full-time and part-time models, you can adapt the study to work, family, or other personal commitments.
All information about the requirements, content, specialization options, and costs can also be found in your personal information package for the part-time online study in Computer Science. With the brochure, you will also receive access to a demo account for myCampus, the IU online campus. Request the brochure now...Practical Know-how: Study Contents and Skills in Master Computer Science (IU)
In the Master's programme in Computer Science at IU International University you will learn how to master complex challenges in modern information technology. The curriculum is modular and combines basic subjects, methodological work, and current specializations:
- Programming Skills and Software Engineering: You start with programming in Python, deepen your knowledge of software processes, and deal with secure software development as well as software engineering in project contexts.
- Algorithmics & Advanced Mathematics: Expand your knowledge in algorithmic thinking and mathematical methods, essential for IT optimization and problem-solving.
- IT Security and Data Protection: Learn how to analyze IT infrastructures, identify vulnerabilities, and implement protective concepts against cyber attacks as well as data protection requirements.
- Artificial Intelligence (AI): The AI module teaches you basic and advanced methods, practical examples, and current trends in machine learning and deep learning.
- Networks & Distributed Systems: Acquire in-depth knowledge about network infrastructures, protocols, as well as security and distribution in modern IT landscapes.
- Research Methodology: In the methodological module, you prepare for scientific work up to your master's thesis.
- Societal and Ethical Aspects: In seminars, you reflect on the role of informatics in business, society, and legal contexts.
- Specializations (Electives): Choose two focuses, e.g. Blockchain & Quantum Computing, Advanced Cyber Security, Machine Learning, UI\/UX Expert, Cloud Computing, or Mobile Software Engineering. Additionally, topics like E-Commerce, IT Governance, and digitization in medicine and care are available.
- Project Modules: Through application-oriented projects like "Software Engineering" or "Network Topology," you directly apply your knowledge in practice.
- Master's Thesis: In the final semester, you work on an extensive scientific, often practice-related, question.
The IU curriculum is practice-oriented and repeatedly establishes a connection to current technologies and real problem situations.
Course and Organization of Distance Learning
The Master's programme in Computer Science at IU is fully organized online and highly flexible:
- Duration & Models: You can choose between three time models - Full-time (24 months), Part-time I (36 months), or Part-time II (48 months). A later switch is possible.
- Start of Study & Modules: Entry is possible at any time. You decide when and at what pace you take individual modules.
- Teaching Materials: For each module, you receive digital and, if desired, printed study materials, video lessons, and interactive learning scripts (Interactive Books), often supplemented by live tutorials and podcasts.
- Examinations: Exams can be taken as online exams flexibly around the clock or - if desired - at one of over 40 examination centres. Many modules are alternatively completed through essays, projects, or presentations.
- Virtual Teaching: Additionally, there are live online seminars, forums, and study groups for professional exchange.
- Online Campus "myCampus" & IU Learn App: Study organization, communication with lecturers, access to materials, and progress monitoring - everything runs digitally via the IU platforms.
- AI-based Learning Support: The learning AI 'Syntea' is available around the clock for questions and topic research.
- Trial Month: At the beginning, you can test the IU distance learning programme for free for one month and cancel it easily if you are not satisfied.
- Individual Support: Professors, lecturers, tutors, study coaches, and a career service support you with specialist and organizational concerns.
The programme is designed to be ideally combinable with professional activity, family, and other commitments.
Career Perspectives after Master's in Computer Science
A Master's degree in Computer Science opens up very versatile and future-proof career opportunities for you. Typical fields of activity for graduates of the IU degree programme are:
- Software Engineer: Development, design, and quality assurance of software systems - from applications to apps to AI solutions.
- Security Engineer: Analysis, planning, and securing of networks and systems, development of security concepts, consulting in the field of cybersecurity.
- IT Coordinator: Interface between IT and specialist departments, project coordination, data management, and process optimization.
- Research and Development: Participation in innovative IT projects, e.g. in the fields of artificial intelligence, blockchain, or Internet of Things.
- Project Management, IT Consulting, Business Analyst, or specialized IT roles in areas such as Cloud Computing, Mobile Development, or Data Science.
According to current industry sources, starting salaries in the field of computer science are rising significantly above average, and well-trained IT professionals are sought after across industries - from industry to research to the public sector.
Costs and Financing Options
With the Master's programme in Computer Science at IU, monthly tuition fees apply for private distance learning. The amount depends on the chosen time model:
- Full-time (24 months): from 599 euros per month
- Part-time I (36 months): from 449 euros per month
- Part-time II (48 months): from 359 euros per month
- Graduation Fee: At the end of the programme, a one-time graduation fee is due (approx. 799 euros)
Included in the price:
- All learning materials (digital/available via the app and platforms)
- Access to online library, software tools, and virtual seminars
- Personal support, career coaching, and additional services (e.g. LinkedIn Learning, MS Office, and Speexx access)
- Free extension if the standard study duration is exceeded (up to 12 months)
Financing Options and Tips:
- Discounts on tuition fees or extras are often possible through special promotions
- Tuition fees are often tax-deductible
- Financing options include study loans, educational funds, scholarships (e.g. Deutschlandstipendium), and possibly BAföG (if applicable)
- Recognition of prior learning (e.g. from education, previous studies, or work) can reduce study time and costs (approx. 30 euros saved per recognized ECTS credit)
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