Master in Applied Data Science (MSc) 24 months Postgraduate Program By Frankfurt School of Finance and Management |Top Universities
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Master in Applied Data Science (MSc) Master in Applied Data Science (MSc)

Location

Frankfurt School of Finance & Management, Frankfurt, Germany
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Program Duration

24 monthsProgram duration

Tuitionfee

17,750 EURTuition Fee/year

Application Deadline

30 Jun, 2025Application Deadline

Main Subject Area

Data Science and Artificial IntelligenceMain Subject Area

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Program overview

Main Subject

Data Science and Artificial Intelligence

Degree

MSc

Study Level

Masters

Study Mode

On Campus

The MSc in Applied Data Science is a response to the recent demand for business savvy data scientists with the collaborative skills to match. Students will gain hands-on experience in solving real-world data science problems with the School’s prominent industry partners, including Commerzbank and PwC, and will be equipped with the technical skills, business domain knowledge, and critical judgment to navigate the modern data ecosystem. This programme covers data science and machine learning concepts, as well as the art and science of problem decomposition and solving. By covering these topics, students can 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.

Program overview

Main Subject

Data Science and Artificial Intelligence

Degree

MSc

Study Level

Masters

Study Mode

On Campus

The MSc in Applied Data Science is a response to the recent demand for business savvy data scientists with the collaborative skills to match. Students will gain hands-on experience in solving real-world data science problems with the School’s prominent industry partners, including Commerzbank and PwC, and will be equipped with the technical skills, business domain knowledge, and critical judgment to navigate the modern data ecosystem. This programme covers data science and machine learning concepts, as well as the art and science of problem decomposition and solving. By covering these topics, students can 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.

Admission Requirements

7+
90+

First university degree (Bachelor or Diploma) of at least 180 ECTS credits, preferably in a quantitative field

Excellent written and spoken English skills (TOEFL - 90 iBT, / IELTS 7.0 or equivalent)

GMAT/GRE score or  Frankfurt School Admission Test /BT Methods Test

Successful participation in our admission interview

30 Jun 2025
2 Years
Aug

Tuition fees

Domestic
17,750 EUR
International
17,750 EUR

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