Studiengänge
Studiengang Details

Master in Applied Data Science

Fact sheet

Abschluss
Master of Science

Unterrichtssprache
Englisch

Fachrichtung
Wirtschaftswissenschaften

Schwerpunkte
Business Process Management (BPM) & Data Science

Studienart
Vollzeit Studium

Kontakt

Ansprechpartner
Alisa Walker
Student Recruitment
Anschrift
Frankfurt School of Finance & Management
Adickesalle 32-34
60322 Frankfurt am Main

Kontakt

Ansprechpartner
Eleanor Stephen
Student Recruitment
Anschrift
Frankfurt School of Finance & Management
Adickesalle 32-34
60322 Frankfurt am Main
The MSc in Applied Data Science is a response to the demand from across different industries for business savvy data scientists with the collaborative skills to match. This 4-Semester programme, designed for students interested in applying computational data science to contemporary business problems, equips students with the technical skills, business domain knowledge, and critical judgment to navigate the modern data ecosystem.

Our students will gain hands-on experience in solving real-world data science problems from our prominent industry partners, such as Innoplexus, Commerzbank, and PwC. Additionally, our students will have exclusive extended access to and participate in current projects run by these and other industry partners.

Our students will master core data science and machine learning concepts, as well as the art and science of problem decomposition and solving. They will be able to identify business needs and wants, as well as problems, and propose relevant solutions using machine learning tools and by applying sophisticated statistical techniques. To do this, they will collect, transform and visualize data, create data models, as well as run predictions and simulations.

In a nutshell: The Frankfurt School of Finance & Management Master in Applied Data Science Programme provides the skills required to recognise and meet the data science wants of contemporary business, across-function and with an understanding of the connected ethical ramifications.

Curriculum
Semester 1 and 2
  • Mandatory foundation courses in machine learning & data analytics
  • Intro to data science ecosystem processes & data-driven decision making
  • Deep Learning
  • Real-life business use cases (solving existing and past cases with guest experts) and core courses
  • Electives to tailor your learning experience
Semester 3 and 4
  • Further real-life business use cases (entrepreneurial and start-up approach)
  • Text Mining and NLP
  • Artificial Intelligence
  • Exclusive & contemporary,extended company project
  • Further electives to tailor your learning experience
  • Final project/ thesis

Akkreditierung

Voraussetzungen / Zulassung

  • B.Sc. degree with a focus on mathematics, statistics, logic, or computation;
    Other (e.g. business) degree, supplemented by official results obtained via the GMAT, GRE or FSAT
  • Excellent written and spoken English (TOEFL - 90 iBT / IELTS 7.0 or equivalent) or TOEFL ITP (minimum score of 577)
  • Successful admissions interview

Wichtige Termine

Application deadline: 31. July
Programme Start: September

Kosten und Gebühren

Registration fee: 100 Euro
Semester fee: 8,100 Euro
Total price: 32,500 Euro

Förderungen

Dauer des Studiums

4 Semester full-time

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