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Frankfurt am Main

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

Get in touch

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