Master in Applied Data Science

The Master of Applied Data Science is a programme offered by Frankfurt School of Finance and Management, designed for young, math-inclined graduates who want to pursue a career in data science. Students of the programme will learn how tomaster the principles of data science, how to apply cutting-edge approaches to address real-world business challenges, and examine the ethical and legal implications of applied data science to become responsible practitioners in the area, building on their good quantitative foundations.

About the programme

Graduates will gain a thorough understanding of fundamental theories, principles, and methodologies in Data Science. They will be able to recognise, analyse, and assess complicated data issues. 

The curriculum is built on four pillars: 

• Technological Competence provides a solid foundation in AI, machine learning, statistics, and cloud computing. 
• In Business Process Integration, you will learn how data enables informed decision-making and strengthens organisational performance. 
• The Ethics & Law pillar addresses the ethical and legal challenges of AI, fostering responsible action
• The Company Cooperation Project allows you to apply your knowledge in real projects and transform data into business success
• Free pre-courses in Python and Mathematics are offered before the start of the study programme.

Students participating in the programme will also have the chance to access the AI Lab of the School. Students will have the chance also to follow a flexible programme structure, 3-Day Model, which will allow them part-time employment. Students can also apply for a scholarship.

Students will also have the ability to construct and critically assess computational, data-driven models to solve complex business data problems. Graduates will formulate solutions to technical problems and represent them in discourse. 

Requirements and deadlines

This programme is aimed at analytically minded graduates who wish to acquire in-depth knowledge in data science and AI. Suitable candidates possess strong mathematical foundations in fields such as mathematics, engineering, computer science, or physics, and demonstrate a pronounced curiosity for complex data challenges.

To enter the Master's programme, students must: have a first academic degree (Bachelor or Diploma) of at least 180 ECTS credits, preferably in a quantitative field; an excellent written and spoken English skills (TOEFL - 90 iBT, 577 ITP / IELTS 7.0 or equivalent), have a GMAT/GRE score or Frankfurt School Admission Test(BT Methods Test); participate successfully in the admission interview.

Study Mode

The programme's innovative 3-day model (two weekdays plus Saturday) enables intensive academic study while simultaneously allowing practical experience through internships or part-time positions. By combining academic excellence with practical application, graduates gain a competitive advantage through solid knowledge and professional experience even during their studies.