The history of artificial intelligence is replete with small advances mistaken at the time for big leaps forward, creating a mix of enthusiasm and unfulfilled promises that make it difficult to assess the true capabilities of current AI.
Enthusiasts are correct in claiming that recent advances in machine learning mark a new era in AI: For a range of problems, these systems now work well enough to be profitably deployed. Yet critics are likewise correct to point out that AI systems are still limited and require a considerable amount of engineering. While newspapers lead with the news that DeepMind’s Alpha Go learned how to become the best Go player in 40 days, less reported is that it took the DeepMind team over two years to design the algorithm.
What is unambiguously clear is that data is growing at an exponential rate and that what is needed are experts to understand its value, and process and visualise its implications so as to enable progress in different social and professional domains.
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, which include Innoplexus, Commerzbank, PwC and others. Additionally, the students will have exclusive extended access to and participate in current projects run by these partners.
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.