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Degree
Master of Science (M.Sc.)

Language
EN

Tuition Fee
32,500 Euro

Deadline for 3,000€ early-bird discount: 30 April

Application deadline
31 July

Programme Start
27 August

Duration
4 Semester | full-time

Master in Applied Data Science

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.  

Highlights

  • A combination of applied Machine Learning, Data Science and Business
    Problem Solving
  • Ethical ramifications of the fourth wave of industrialisation
  • Extended co-op company projects in cooperation with leading companies throughout third and fourth semesters
  • Work on real-life cases guided by professionals in the industry
  • Flexible programme structure allowing part-time employment with our 3 Day Model
  • Participate in our hackathons 

Requirements

  • 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



Master Info Evening

Learn more about our Master's programmes at one of our Master's Info Evenings! Benefit from personal conversations with our students and programme directors and find out which programme could help you excel in your career. 

GMAT Preparation Course

The GMAT is a challenging exam requiring substantial preparation for optimal performance. This one and a half day course provides students with all the essential tips and necessary preparation for high performance and excellent exam results. 

Ideal Candidates

Our pre-experience Master programme is designed for students with an interest in developing cross-functional problem decomposition and solving skills by applying machine learning technology and data science, as well as business domain knowledge and critical judgment to navigate the modern data ecosystem.

Curriculum

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.

Semester 1

Quantitative Fundamentals
Computational Semantics           
Intro to Data Analytics
Organisational Strategy & AI
The Language of Business

Semester 2

Problem Solving - Decomposition and Analytical Methods
Machine Learning 1 & Business Use Cases 1
Managing, Storage and Visualising Big Data
Deep Learning
Electives*

Semester 3

AI & Humanity - Ethics of Data Science
Machine Learning 2 & Business Use Cases 2
Co-op, Company Project
Text Mining & NLP
Electives*

Semester 4

Entrepreneurship - Business Model Simulation
AI - The New Frontier
Electives*
Capstone/Thesis

*Electives: Finance; Behavioural Economics; Blockchain Technology, From Data to Insights

Learning Experience

Frankfurt School applies a practical approach to your studies by preparing you for the realities of data science in the working world. We do this by strengthening your statistical, mathematical and computational skills, and through exposing you to every day working life as part of our cooperative company projects. Our guest lectures by external professionals with current knowledge of the market bring relevant and valuable cases to be solved in the classroom.

Careers

On completion of the Master in Applied Data Science you will be qualified to connect the dots for businesses. These companies, including the Big Four, are seeking experts who understand specific wants and needs and can provide relevant solutions for genuine business transformations.

Job opportunities will include but not be limited to Data Analyst; Business Analyst; Data Visualisation Engineer, Internal Data Science Consultant and new roles in all sectors that are experiencing digital transformation.

#FSMaster

Student Life

Join our community of aspiring and inspiring individuals and get involved at FS by joining a student initiative, participating in a sport or business competition, by serving on our Student Council, or by creating your own event or initiative.

Application Process

1. Online Application

The first step in applying for our programme is the completion of our online application, which includes uploading the required documents in support of your application:

Required Documents

  • Certified copy of your undergraduate transcript of records and degree award certificate
  • Certified copy of your TOEFL / IELTS results or equivalent (TOEFL IBT minimum score of 90 / IELTS minimum score of 7,0) or TOEFL ITP (minimum score of 577)
  • If needed: Official GMAT score report, GRE score report or FS Admissions Test
  • CV or resume (must be in English)
  • Other documentation supporting professional experience or other extracurricular activities, if applicable

Each of the documents listed above are required for completing your application. However, you do not need to upload them all at once.

Winter Semester Start

The final deadline for applications is July 30th.

Applications are considered on a rolling basis, therefore we encourage you to apply as early as possible. Applications received before 30 April will benefit from our early bird discount of 3000 EUR. Applicants interested in a scholarship must complete the relevant section in our online application and submit it by the end of July.

30th April Deadline for early-bird discount.
31st July Final deadline for all applications. 
31st July Final deadline to be considered for FS Scholarships.
27th August Start of programme

2. Interview

After reviewing your application documents, we will invite qualified candidates to participate in a personal interview with a faculty member of Frankfurt School of Finance and Management. The interview will be held either at Frankfurt School, or over the phone for students that are not able to make an in-person interview. The purpose of the interview is to gain a better understanding of your character, personality, expectations, motivations and goals.

3. Programme Entry Invitation

We adopt a holistic approach in assessing our candidates, and the final decision regarding your admission will be based on a combination of undergraduate grades and/ or admissions test, English language abilities and the interview results. At this point, successful candidates will be invited to enter the programme by completing a diagnostic that maps out their knowledge spaces. These are used throughout the programme to give students continuous feedback on their progress.

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We also take into account other significant experiences, commitments or awards such as internships, international experiences, and volunteer projects.

4. Programme Start

On this day, all students are expected to be at Frankfurt School. For non-EU applicants who require a visa to enter Germany, please keep in mind that it can take up to two or three months to obtain the necessary visa.

We look forward to welcoming you at your campus!

Study Models

4-Semester Track (3-day Model)

The Master in Applied Data Science follows a unique time model that permits you to work part-time whilst pursuing your full-time Master’s degree. We call this the “3-day model”.

Our students typically attend classes three days a week. This leaves you with three working days for self-study, language courses or part-time employment. Some lectures or excursions are organised as blocked week events.

Learn About Financial Aid

Investing in your future

Your degree is an investment in your professional future. As a business school of international standing, not only do we offer you ideal conditions for earning a degree – we also offer you excellent career prospects.

As we guarantee the quality of our teaching and research, we also expect the highest levels of commitment and motivation from our students.

Women in STEM Scholarship

All female applicants are able to apply for our Women in STEM (Science, Technology, Engineering and Mathematics) Scholarship. The scholarship encourages and supports women in fields underrepresented by women. Those who wish to apply can do so with a motivational letter within the application.