60 ECTS
7 Blockweeks over 3 Semesters + Master-Thesis
The Master in Data Analytics & Management empowers managers with the skills to make data-driven decisions that impact corporate strategy.
Managers are required to foster purpose driven innovation and motivate organisational change through new and disruptive technologies. Our students acquire skills in: big data, digital transformation, communication and leadership which are all required to manage digital transformation in an ever-changing world.
Learning Goals
Graduates will have an in-depth knowledge and a critical understanding of the key theories, methods and techniques to identify, analyse and to implement business and digital transformation processes. They will have a profound knowledge of the parameters and instruments necessary for driving innovation and transformation.
Graduates will analyse the business' status quo and design creative solutions for data-driven innovation and business transformation. They will consult businesses professionally and proficiently.
Graduates will be effective communicators in practical business contexts.
Graduates lead and support data- and purpose-driven innovative business transformation. They will base their professional activities on in-depth theoretical and methodological knowledge and they will develop those further. They have a thorough and critical understanding of their ethical and legal responsibilities. They will reflect upon their decision-making processes.
Our lecturers are specialised with state-of-the-art scientific knowledge and are experienced in managing digital transformation
Cooperation with SAP Innovation Center
Extensive network of industry experts and potential employers
Requirements
*Please note: Language proficiency waivers are possible for candidates, who have competed a previous degree in English, lived in an English speaking country for longer than a year or whose work language is English (confirmation from employer required).
Deadlines & Discounts
We admit candidates on a rolling basis and therefore encourage you to complete your application early; there are also financial advantages for candidates who complete their application early.
Early Bird Discount (€3,500): 30 April
Final Application Deadline: 15 August
Learn more about our Master programmes at one of our Master Info Evenings! Benefit from personal conversations with our students and programme directors and find out which programme could help you excel in your career.
The Master in Data Analytics & Management is for professionals who wish to obtain the necessary skillset to successfully manage sustainable business innovation through data-driven strategies. The programme is specifically tailored to the needs of managers who want to stay fully employed throughout their studies at the same time gaining expertise to further develop their businesses.
Frankfurt School schedules the programme in a blended-learning format with seven block weeks giving you the possibility to fit it to your full-time position and your career aspirations.
The abundance of data in combination with technologies such as machine learning is rapidly changing business. Initially companies tend to focus on the technical challenge but often it’s actually the strategic and organisational challenge that turns out to be bigger. The Master in Data Analytics & Management will give you the skills to understand the technical foundations of digital transformation, driving strategic and business model implications and managing the necessary organisational change aiming at a purpose-driven and sustainable business transformation.
We start off by giving you insights into the foundations of key technologies like machine leaning and blockchain. Then we focus on how this technological innovation can be translated into business use cases that can add value to the bottom line. The final third of the programme is dedicated to the human aspect of the digital transformation- how to bring key stakeholders on board to lead a sustainable change, which is crucial for the long-term success of a digital transformation.
Blockchain
This Module provides insights into the technical foundations of machine/deep learning and blockchain. The module gives you a basic understanding of the algorithms used for Google’s search engine, algorithmic trading, self-driving cars and predictive maintenance. This knowledge is crucial to develop and assess use cases in terms of (a) whether they are generally feasible, (b) how complicated it is to implement the use case and (c) what resources such as data are necessary. The module will also enhance your understanding and ability to communicate with and manage technical team members.
Deep Learning/Machine Learning
This Module provides insights into the technical foundations of machine/deep learning and blockchain. The module gives you a basic understanding of the algorithms used for Google’s search engine, algorithmic trading, self-driving cars and predictive maintenance. This knowledge is crucial to develop and assess use cases in terms of (a) whether they are generally feasible, (b) how complicated it is to implement the use case and (c) what resources such as data are necessary. The module will also enhance your understanding and ability to communicate with and manage technical team members.
Digital Industry & Services
This Module provides insights into the technical foundations of machine/deep learning and blockchain. The module gives you a basic understanding of the algorithms used for Google’s search engine, algorithmic trading, self-driving cars and predictive maintenance. This knowledge is crucial to develop and assess use cases in terms of (a) whether they are generally feasible, (b) how complicated it is to implement the use case and (c) what resources such as data are necessary. The module will also enhance your understanding and ability to communicate with and manage technical team members.
Collecting, Aggregating & Managing Data
The second module builds on the foundations from the first module enabling you to understand how to collect and manage data. It will answer question on how to aggregate data and how to handle it, especially when it comes to synchronizing data and the different software and interfaces.
Synchronisation & API
The second module builds on the foundations from the first module enabling you to understand how to collect and manage data. It will answer question on how to aggregate data and how to handle it, especially when it comes to synchronizing data and the different software and interfaces.
IT, Data Science and AI for Business
The second module builds on the foundations from the first module enabling you to understand how to collect and manage data. It will answer question on how to aggregate data and how to handle it, especially when it comes to synchronizing data and the different software and interfaces.
The Future of Digital Businesses
The third module builds on the previous 2, covering how the abundance of data and the advancement of algorithms can be harnessed to generate competitive advantage. In the first part of the module you will be given an overview of the new types of business models that are emerging based on data and machine learning and how existing business models are affected by digitalisation. In the second part of the module you will have the chance to apply this knowledge to concrete use-cases and derive implications for your organisation.
Sustainable Development Goals
The third module builds on the previous 2, covering how the abundance of data and the advancement of algorithms can be harnessed to generate competitive advantage. In the first part of the module you will be given an overview of the new types of business models that are emerging based on data and machine learning and how existing business models are affected by digitalisation. In the second part of the module you will have the chance to apply this knowledge to concrete use-cases and derive implications for your organisation.
New Business Models
The third module builds on the previous 2, covering how the abundance of data and the advancement of algorithms can be harnessed to generate competitive advantage. In the first part of the module you will be given an overview of the new types of business models that are emerging based on data and machine learning and how existing business models are affected by digitalisation. In the second part of the module you will have the chance to apply this knowledge to concrete use-cases and derive implications for your organisation.
Marketing Positioning
This module focuses on the organisation’s strategy. Participants take a closer look at how data and patterns inferred from such data can be used to form and implement an organisation’s strategy. You also get to know what this implies for how decision are made on an everyday basis and how strategy is implemented by a new way of distributed and data driven decision making throughout the organisation.
Digital Marketing
This module focuses on the organisation’s strategy. Participants take a closer look at how data and patterns inferred from such data can be used to form and implement an organisation’s strategy. You also get to know what this implies for how decision are made on an everyday basis and how strategy is implemented by a new way of distributed and data driven decision making throughout the organisation.
Platform - Business Models
This module focuses on the organisation’s strategy. Participants take a closer look at how data and patterns inferred from such data can be used to form and implement an organisation’s strategy. You also get to know what this implies for how decision are made on an everyday basis and how strategy is implemented by a new way of distributed and data driven decision making throughout the organisation.
Driving & Leading Digital Transformation
How can digital transformation be promoted within the own company and how can management get employees on board? Change & Performance Management will demonstrate the systematic approach to changes within a company whereas system thinking as a methods helps visualising the process.
Change & Performance Management
How can digital transformation be promoted within the own company and how can management get employees on board? Change & Performance Management will demonstrate the systematic approach to changes within a company whereas system thinking as a methods helps visualising the process.
System & Design Thinking
How can digital transformation be promoted within the own company and how can management get employees on board? Change & Performance Management will demonstrate the systematic approach to changes within a company whereas system thinking as a methods helps visualising the process.
Excursion Digital Transformation & Experiential Learning
The first five modules will be supplemented by an additional experiential learning module in which we cooperate with the SAP Innovation Centre. You will be working on a real word data driven management problem in either one of the companies we cooperate with, or in your company, if you wish so.
The Future of Digital Businesses
Within the last Module, students will have to possibility to recap the knowledge and skillset from the previous Module, to critically reflect on the goals set in module three and to put everything into perspective.
Ethics & Sustainability
Within the last Module, students will have to possibility to recap the knowledge and skillset from the previous Module, to critically reflect on the goals set in module three and to put everything into perspective.
Compliance & Sustainability
Within the last Module, students will have to possibility to recap the knowledge and skillset from the previous Module, to critically reflect on the goals set in module three and to put everything into perspective.
Master Thesis
We believe in a holistic and practical approach, where our students development is at the heart of every classroom. Applying a process-based approach, students will advance in critical thinking and problem-solving strategies, which in return enable them to apply the knowledge, skills, competences and methods for their businesses.
Whilst you will receive a strong theoretical foundation, the emphasis of the programme will be on the practical application of methods and theory. As such, a significant proportion of the modules involves teaching by practitioners, who have everyday experience with data-driven decision-making and digital transformation.
Thanks to the support for our cooperation partner SAP Innovation Center Potsdam, we can provide our students with the knowledge and skillset in a practically-oriented approach
The first five modules are supplemented by an additional experiential learning module in which we cooperate with the SAP Innovation Center. They will supervise different projects on which students work while studying and in block week 6 at the SAP Innovation Center in Postdam students will present the projects’ outcomes.
AI Lab
The AI Lab provides a space where new learning concepts can be developed, tested, and immediately implemented into the teaching programme. The AI Lab is equipped with four high end computers using the latest GPUs for AI acceleration. Students are also invited to attend our Hackthons and additional workshops.
Find out more about our AI Lab here.
Company Visits
Company visits allow students to experience first hand how digital transformation is implemented and lived. This experiential and reflective learning provides them with the tools needed to tackle challenges in the workplace.
Blockchain Center
The Frankfurt School Blockchain Center is a think tank and research center which investigates implications of the blockchain technology, crypto assets and distributed ledger technology (DLT) for companies and their business models. Besides the development of prototypes, it serves as a platform for managers, startups, technology and industry experts to share knowledge and best practices.
Find out more about our Blockchain Center here.
Centre for Human and Machine Intelligence
The Centre for Human and Machine Intelligence (HMI) conducts basic and applied research at the intersection of Artificial Intelligence & Machine Learning, Decision & Social Science, and Finance & Management. Our focus is to develop and advance our understanding of computational systems that augment human capabilities for judgment and decision-making.
Find out more about HMI here.
You will be taught by lecturers with work experience at the following companies:
Our students typically come from consulting and industry with an extensive range of practical and education backgrounds which will open up your network to new areas. During the intensive block weeks you'll get the chance to exchange thoughts and learn from each other’s know-how and practical experience.
Additionally, our exclusive corporate and alumni connections allow you to strengthen your career network in a wide range of industries while studying. Our Frankfurt School Alumni Network brings together a large number of national and international executives at a various events and workshops.
Students participating in this programme aim at deepening and advancing their already sophisticated career to the next level by adding innovative and revolutionary components, competences and methodology as well as objectives for their businesses. Our graduates are qualified to lead in areas such as consulting, project management, executive management and business analytics, digital transformation and change management etc.
The first step of our application process is to complete the online application form. You will need to upload the following supporting documents:
Required Documents
Each of the documents listed above are required for completing your application. However, you do not need to upload them all at once.
Deadlines & Discounts
We admit candidates on a rolling basis and therefore encourage you to complete your application early; there are also financial advantages for candidates who complete their application early.
Early Bird Discount (€3,500): 30 April
Final Application Deadline: 15 August
Successful applicants will be invited to an interview. The interview will be held either at Frankfurt School, or over a video call/the phone. The purpose of the interview is to gain a better understanding of your professional and academic experience and discuss motivation for the programme and goals for the future.
You will receive a final decision on your application shortly after, the decision is made by our Admission Committe and based on a combination of your application and the interview performance.
The first block week of the programme starts in October.
We look forward to welcoming you at your campus!
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.
And since we can guarantee the quality of our teaching and research, we also expect the highest levels of commitment and motivation from our students.