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Featured byWU Executive Academy
Overview
Whether you see this as an opportunity or a challenge, you can face this situation head-on with the Professional Master of Business Administration Digital Transformation & Data Science is offered by WU (Vienna University of Economics and Business) 's portfolio, pick up the tools and strategies needed to master digital challenges and transform your business.
High flexibility and multiple new networks
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.
Accreditation
AACSB, AMBA, EQUIS
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Visit official programme websiteProgramme Structure
Courses include:
- Digital Transformation
- Data Science: Concepts & Application Domains
- Data Science: from Data Science to Big Data
- Data Science: Trends & Outlook
Audience
- Data analysts aspiring to a management position
- Experts from the technical field, who want to deepen their leadership skills and gain a good understanding of the general management topics.
- Successful managers who see their future in the field of digitization and data science and who want to acquire the necessary expertise.
Check out the full curriculum
Visit official programme websiteKey information
Duration
- Part-time
- 18 months
- Flexible
Start dates & application deadlines
- Starting
- Apply before
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More details
Early Bird Deadline: Mar. 31
Language
English
Delivered
Blended
Disciplines
Management, Organisation & Leadership Master in Business Administration (MBA) Data Science & Big Data View 4 other Masters in Data Science & Big Data in AustriaExplore more key information
Visit official programme websiteAcademic requirements
We are not aware of any academic requirements for this programme.
English requirements
We are not aware of any English requirements for this programme.
Other requirements
General requirements
Applicants must meet the following requirements:
Diploma, Bachelor, or Master degree
- Minimum of 3 years of relevant work experience
- Proficiency in written and spoken English or German
Work experience
Minimum of 3 years of relevant work experience
Make sure you meet all requirements
Visit official programme websiteTuition Fee
To alway see correct tuition fees
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International
26000 EUR/yearTuition FeeBased on the tuition of 39000 EUR for the full programme during 18 months. -
EU/EEA
26000 EUR/yearTuition FeeBased on the tuition of 39000 EUR for the full programme during 18 months.
Living costs for Vienna
861 - 1331 EUR /month
Living costs
The living costs include the total expenses per month, covering accommodation, public transportation, utilities (electricity, internet), books and groceries.
Funding
As one of the leading providers of executive education in Europe, the WU Executive Academy supports high potentials and managers to meet their educational and career goals by offering partial scholarships for its executive education programs.
Who are the scholarships for?The scholarships are awarded on a case-by-case basis. The admission committee looks at the situation of each accepted student applying for a scholarship and, depending on each candidate’s personal circumstances, decides if a scholarship will be awarded and what percentage of reduction will be granted.
Studyportals Tip: Students can search online for independent or external scholarships that can help fund their studies. Check the scholarships to see whether you are eligible to apply. Many scholarships are either merit-based or needs-based.
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