Master's in Applied Data Science (MSc) Frankfurt School of Finance & Management
- Degree
- Master's
- Language of instruction
- English
- International support
- Welcome event
First impressions
- Location
Frankfurt am Main
- Intake
Winter semester
- Duration
4 semesters
- Study structure
Full-time
- Mode of study
Fully on-site
- Tuition fees per semester
Varied
- Application deadline
30 June for the following winter semester
General information
About the course
Degree
Master of Science in Applied Data Science
Course location
Frankfurt am Main
Language of instruction
English
Languages
100% English
Description
Designed for graduates with mathematical acuity, our Master's in Applied Data Science programme prepares students to become insightful and influential professionals in the fascinating and dynamic field of applied artificial intelligence and data science. Building from strong quantitative foundations, the programme guides students through core principles to a comprehensive understanding of data science applied to solve real-world business challenges.
Full-time / part-time
Full-time
Duration
4 semesters
Intake
Winter semester
Mode of study
Fully on-site
Additional information on intake, duration and mode of study
Programme start: 25 August
Application deadline
30 June for the following winter semester
Tuition fees per semester
Varied
Additional information on tuition fees
35,500 EUR*
*excl. 350 EUR enrolment fee and 100 EUR application fee
Combined Master's degree / PhD programme
No
Joint degree / double degree programme
No
Further details
Course organisation
Our Master's in Applied Data Science programme is structured on four pillars, each designed to form a cohesive and expansive educational journey.
Technological Mastery: The first pillar immerses students in the theoretical and technological foundations of data science and artificial intelligence, covering essential domains such as algorithms and data structures, computational statistics, machine learning, deep learning, and cloud computing, among others, laying the groundwork for technical proficiency.
Business Process Integration: The second pillar exposes students to the symbiotic relationship between data science and business processes, highlighting how data-driven insights drive better business operations and decision-making.
Ethical and Legal Awareness: The third pillar provides a critical examination of the ethical and legal landscapes in data science and artificial intelligence, preparing students to navigate the moral complexities and risks posed by statistical technology.
Practical Business Applications: The final pillar focuses on the practical application of data science and artificial intelligence within business, enabling students to translate their knowledge into actionable solutions that drive business innovation and growth.
Free pre-courses in Python and Mathematics are offered in August, before the study programme begins.
A Diploma supplement will be issued
No
International elements
Integrated/optional study abroad unit(s)
Integrated/optional study abroad unit(s) outside Germany
Frankfurt School partners with 90+ universities worldwide that are primarily focused on business and management. This allows our students to gain comparative viewpoints, to experience diverse cultural and study environments and to widen their international network. It also gives our students the chance to immerse themselves in a new environment that prepares them for a global career.
Course-specific, integrated German language courses
No
Course-specific, integrated English language courses
No
Costs & requirements
Costs
Tuition fees per semester
8,875 EUR
35,500 EUR*
*excl. 350 EUR enrolment fee and 100 EUR application fee
Semester contribution
None
Requirements
Academic admission requirements
- First academic degree (Bachelor's or Diploma) of at least 180 ECTS credits
- Excellent written and spoken English (see below)
- Valid GMAT/GRE score or Frankfurt School Admission Test (BT Methods)
- Successful admissions interview
Language requirements
Excellent written and spoken English (TOEFL – 90 iBT, IELTS 7.0 or equivalent)
Application deadline
30 June for the following winter semester
Submit application
Frankfurt School of Finance & Management gGmbH
Adickesallee 32–34
60322 Frankfurt am Main
Germany
Financing information
Funding opportunities within the institution
Possibility of finding part-time employment
Work & Study: Experience the perfect blend of career growth and flexibility through our Three-Day Model structure, which allows for part-time employment within our programme structure.
Additional support
Support for international students and doctoral candidates
Welcome event
Contact
Frankfurt School of Finance & Management
Recruitment
Adickesallee 32-34
60322 Frankfurt am Main