Bachelor in Business Information Systems Engineering

Graduates will possess deep knowledge and a critical understanding of the mathematical, computational, and business foundations required to analyse, design, and implement modern computational models and software systems.

• Learning objective 1.1: Students will demonstrate a rigorous understanding of core mathematical and computational foundations.
• Learning objective 1.2: Students will be able to design, analyse, and implement computational models and software systems from first principles. They are able to evaluate algorithmic complexity, correctness, scalability, and trade-offs across different system architectures.
• Learning objective 1.3: Students will be able to explain comprehensive fundamentals in business.

Graduates will be able to analyse, design, implement, integrate, and evaluate traditional as well as AI-based information systems that support organisational processes and data-driven decision-making. They will be able to locate, interpret, and critically evaluate scientific literature, technical documentation, and professional standards, and integrate relevant findings into their own work and reasoning.

• Learning objective 2.1: Students will be able to analyse organisational processes and information needs, model enterprise data and workflows, and explain how enterprise systems support, integrate, and transform business functions.
• Learning objective 2.2: Students will be able to integrate machine learning and artificial intelligence components into information systems and digital workflows, evaluating such systems with respect to performance, transparency, security, governance, maintainability, and business value.
• Learning objective 2.3: Students will be able to design, implement, and evaluate information systems using principles of information systems engineering and computer science while reasoning about business requirements, integration, scalability, reliability, maintainability, and interoperability.

Graduates will communicate effectively and collaborate successfully in teams.
 

• Learning objective 3.1: Students will be able to communicate complex technical concepts, analytical results, and business concepts clearly and precisely in written and visual form, adapting explanations to audiences ranging from technical experts to non-specialists.
• Learning objective 3.2: Students will be able to communicate complex technical concepts, analytical results, and business concepts clearly and precisely in oral form, adapting explanations to audiences ranging from technical experts to non-specialists.
• Learning objective 3.3: Students will be able to collaborate effectively and proactively take on different roles and responsibilities in a team, contributing to problem formulation, system design, and implementation.

Graduates will act responsibly and professionally in international environments, applying theoretical and methodological knowledge while recognising the ethical dimensions of work at the intersection of data science, AI, information systems, and business.

• Learning objective 4.1: Students will be able to systematically evaluate technical and business solutions in light of ethical principles, legal frameworks, and regulatory requirements, including issues such as data privacy, fairness, accountability, and transparency.
• Learning objective 4.2: Students will critically assess the broader societal, economic, and environmental implications of AI and computational systems.
• Learning objective 4.3: Students will be aware of the personal and cultural differences in an international environment.
• Learning objective 4.4: Students will use their practical experience to critically reflect learned concepts.

Once you have ensured that you meet the admission requirements for the Bachelor in Business Information Systems Engineering and took a look at our application checklist, you can start your application via our online application form. 

You will need to upload the following supporting documents:

• A Recognised secondary school diploma* (Abitur, IB Diploma, US High School Diploma, A-Levels, European Baccalaureate, etc.) 
• An optional letter of motivation (maximum 500 words)
• A Curriculum Vitae (CV, résumé)
• A copy of your passport or ID card
• Additional documents, if applicable (e.g. references or letters of recommendation, certificates, awards, extracurricular activities)

*Please note that payment of the EUR 100 application fee is required before your application can be processed.

At Frankfurt School, there is no numerus clausus (NC). Successful applicants will be invited to an Online Assessment Centre (AC). 

We operate rolling admissions, allowing you to receive an admission decision before the application deadline.

If you do not meet the general admission requirements, you may still be eligible to apply under a recent change in German law. Please contact us for further information.

Note for neurodiverse applicants, applicants with disabilities, or chronic health conditions

To ensure that we can provide early advice and support (for example, when applying for additional time during the Assessment Center), please contact us or the Officer for Students with Disabilities and Chronic Illnesses as early as possible prior to your scheduled Assessment Centre. Further information can be found on our website under Life and Health Counseling.

You can select the AC date that suits you best as part of your application. 

The following dates are currently available: 

• 21 October 2026,
• 18 November 2026 
• 10 December 2026.

The online Assessment Center consists of four parts:

• Mathematics test
• Cognitive test
• English test
• Structured interview

For the assessment, you will need a non-programmable calculator, regardless of brand or model.

In addition to your test results, your motivation and commitment are key factors in the admission decision. All Assessment Centre sessions are conducted online. Please note that your application must be submitted at least two weeks before your preferred Assessment Centre date.

Frankfurt School offers a merit-based scholarship programme designed to ensure that talented students from diverse backgrounds can focus on their studies without financial concerns. The Diversity Scholarship Programme aims to promote diversity within the Bachelor of Science student body and provides tuition fee reductions of 15%, 25%, or 50%. Further information on scholarships and funding is available under “Financing & Scholarships.”

We recommend applying as early as possible, and no later than 30 June. Applications submitted after this date will be considered if places remain available. You don’t need your final school certificate yet – your last two transcripts are sufficient. Assessment Centre dates are offered regularly throughout the year.

If you’d like to study with one of our corporate partners, you need to apply both to Frankfurt School and directly to the company. Most companies recruit a year in advance, so early application is key. Our team is happy to support you throughout the process.

Yes. If you are neurodiverse, living with a disability, or managing a chronic condition, please contact us as early as possible. We can advise you individually and make arrangements such as extra time in the Assessment Centre.

Yes. Several modern student residences are located right next to campus, including i Live Campus Living and The Flag. Many other options are available nearby, ensuring short commutes. More information: Frankfurt School Housing

There are two lecture-free periods each year – between Christmas and the end of January, and from the end of May to the end of August. Exact dates may vary slightly each semester.