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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... Read more 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.Read less
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... Read more 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.Read less
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 Students
17,750 EUR
-
International Students
17,750 EUR
-
Scholarships
Selecting the right scholarship can be a daunting process. With countless options available, students often find themselves overwhelmed and confused. The decision can be especially stressful for those facing financial constraints or pursuing specific academic or career goals.
To help students navigate this challenging process, we recommend the following articles:
Master in Applied Data Science (MSc)
Frankfurt School of Finance & Management, Frankfurt, Germany
24 monthsProgram duration
17,750 EURTuition Fee/year
30 Jun, 2025Application Deadline
Data Science and Artificial IntelligenceMain Subject Area
Program overview
Main Subject
Data Science and Artificial Intelligence
Degree
MSc
Study Level
Masters
Study Mode
On Campus
Read more 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. Read less
Program overview
Main Subject
Data Science and Artificial Intelligence
Degree
MSc
Study Level
Masters
Study Mode
On Campus
Read more 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. Read less
Admission Requirements
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
Tuition fees
Domestic Students
International Students
Scholarships
Selecting the right scholarship can be a daunting process. With countless options available, students often find themselves overwhelmed and confused. The decision can be especially stressful for those facing financial constraints or pursuing specific academic or career goals.
To help students navigate this challenging process, we recommend the following articles:
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Looking for a fully-funded scholarship to see you into university? Find out how to boost your chances of getting one.
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