ⓘ Covid-19: Currently, we are offering modules in a hybrid format, i.e. in-class teaching with simultaneous online participation for those students who are facing travel restrictions.
No matter where you turn, business is being radically transformed by digitization. New, lucrative opportunities await initiators while the currently-leading company is actually being disrupted by a newcomer.
Whether you see this as an opportunity or a challenge, you can face this situation head-on with the Professional MBA Digital Transformation & Data Science. Take advantage of the latest MBA in the WU Executive Academy's portfolio, pick up the tools and strategies needed to master digital challenges and transform your business.
Businesses run on data, and data offers little value without analytics. The MBA in Digital Transformation & Data Science gives me the necessary knowledge for a leading innovative position in data governance and analytics. With this knowledge, I aim to turn the vast amount of business data into insights, predictions, and actions.
These days, digitization, disruption and big data rank high on the corporate agenda everywhere because the rapid transformation has an impact on all industries. Designed to equip you with the fundamentals of both these technologies and a range of management tools, this specialized MBA will be your link between management knowledge and digitization processes. The approach is very hands-on so you will be able to connect what you learn to the context of the increasingly-digitized world.
One advantage of the program is its high degree of flexibility as far as learning intensity and program duration are concerned: In addition to acquiring an understanding of general management topics (Business Core), it will be possible to complete parts of the specialization in advance. For example, those who want to take Data Science modules at the beginning, or have already done so in a short program at the WU Executive Academy, will now be able to use them for the entire MBA including the business core. This structure multiplies the available networking opportunities: you will not only meet colleagues from the MBA, but can also network with other experts in the field. These many different contacts are extremely valuable from a career perspective.
This MBA program entails 4 central parts: a "Business Core", "Data Science" (a 12-day program), "Digital Transformation" (4 days) and one elective. You can influence the content of your MBA by choosing from a variety of offers; some modules have a strategy-drive focus, while others are more technical in nature. Current examples include "Blockchain Transforming Business“, "Organizational Design“, or "Data Governance“.
In addition, you can choose the timing of several of your modules and thereby influence the intensity and duration of your MBA.
This MBA will provide you with immediately applicable expertise and key tools. This enables you to have better strategic foresight and to implement what you know effectively when returning to your job.
Programming skills are not required.
The Vienna University of Economics and Business Administration (WU) is one of Europe's leading universities and can look back on 100 years of excellence in executive education. We are proud to have received the prestigious triple accreditation from AACSB, AMBA, and EQUIS, which is reflected in the outstanding quality of our executive education. This has also been recognized in international rankings:
After completing the program you will graduate with the academic title "Master of Business Administration (MBA)" from the Vienna University of Economics and Business.
On average, our students spend about 15-20 hours per week working on the content. We recommend investing 2-3 hours a day.
Although our MBA program is challenging, it is designed for working executives. That's why students can access our online forums from their smartphones or tablets, giving them the flexibility to manage their workloads on the go, whether they're on their way to work, on a lunch break, or traveling around the world.
Before the course big data seemed to be far away from my daily business in a small sized company. I categorized this topic to be important for big global players – I was wrong. Now not only that I have realized that I need to deal with big data issues, but I also feel competent enough to handle big data projects in my company.