Master in Applied Data Science
- Frankfurt School of Finance & Management
- Master M.Sc.
- 4 semester(s)
- Frankfurt am Main, Hesse, Germany
ProgrammeThe MSc in Applied Data Science is a response to the recent demand for business savvy data scientists with the collaborative skills to match. Our students will gain hands-on experience in solving real-world data science problems with our 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. 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.
Careers and ideal CandidatesOn 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. 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.
- Quantitative Fundamentals
- Computational Semantics
- Intro to Data Analytics
- Organisational Strategy & AI
- The Language of Business
- Problem Solving - Decomposition and Analytical Methods
- Machine Learning 1 & Business Use Cases 1
- Managing, Storage and Visualising Big Data
- Deep Learning
- AI & Humanity - Ethics of Data Science
- Machine Learning 2 & Business Use Cases 2
- Co-op, Company Project
- Text Mining & NLP
- Entrepreneurship - Business Model Simulation
- AI - The New Frontier
- Behavioural Economics
- Blockchain Technology, From Data to Insights
- Total fees approx.
- € 32.500,-
- BSc degree with a focus on mathematics, statistics, logic, or computation. Alternatively, non-quantitative degree, supplemented by official results obtained via the GMAT, GRE or FSAT
- Excellent written and spoken English (TOEFL - 90 iBT, or equivalent)
- Successful participation in our admissions interview
|Language(s) of instruction:||English|
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.
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Full-/Part-timeThe Frankfurt School is one of the most active German business schools in terms of research. With its practical and research-based orientation it regularly achieves top positions in various rankings. The Frankfurt School of Finance & Management features one of Germany’s largest business administration faculties. Its professors work hand in hand with policy-makers and executives to offer tailor-made solutions to topical questions. Research findings from the five departments are employed in leading corporations, the finance sector, in politics, and on development issues. Members of our faculty frequently comment on topical issues in all media.
- Eleanor Stephen
- +49 (0) 69154008228