Endorsed by
WU (Vienna University of Economics and Business) 4.0 (47)
Overview
This Data Governance Certificate Program from WU (Vienna University of Economics and Business) provides you with information on how to create security protocols and how to make the best use of your data resources.
Key Facts
The definition of data governance encompasses the convergence of data quality, data management, data policies, business process management, and risk management around the handling of data within an organization. Effective implementation of data governance offers considerable added value for the entire organization. Yet, most organizations do not have sufficient knowledge about data governance. This can lead to lost profits, reduced security, and a general unease about data quality, storage, and analysis. Targeted data management creates more transparency, availability, and security in the decision-making process. To achieve this it is crucial to understand how the vast amounts of data available can be stored, managed, and protected properly.
Using practical examples, you will benefit from effective strategies for analyzing data and implementing solutions for successful data integration. You will also gain an understanding of current trends, technologies, and developments such as metadata and semantic data management. With this knowledge, you will be able to increase your efficiency, implement a data governance strategy and boost your profits.
Accreditation
- AACSB
- EQUIS
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Visit programme websiteProgramme Structure
Courses include:
- Data Governance in Enterprises
- Challenges in Enterprise Data Management
- Importance of Data Quality Management
- Introduction to Metadata Management
- What is Semantic Data Management?
- What is a Knowledge Graph?
- Applications and Use Cases based on Semantic AI
Audience
- Experts who are interested in the potential of data governance
- Top or mid-level managers from technical and non-technical areas
- IT professionals who work with data and Data Analysts
- Managers of data-driven projects
- Business Analysts
- IT architects and data managers who want to build a Big Data architecture
- CIOs, Chief Data Officers, Data Scientists and Data Stewards
Check out the full curriculum
Visit programme websiteKey information
Duration
- Part-time
- 1 months
Start dates & application deadlines
- Starting
- Apply before
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Language
English
Delivered
Online
Campus Location
- Vienna, Austria
Disciplines
Data Science & Big DataExplore more key information
Visit programme websiteWhat students do after studying
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Academic requirements
We are not aware of any specific GRE, GMAT or GPA grading score requirements for this programme.
English requirements
We are not aware of any English requirements for this programme.
Other requirements
General requirements
Participants come from a wide range of areas and industries including:
- Marketing, Consulting, Supply Chain Management, IT, Health Care, Finance
- Top or mid-level managers, both from technical and non-technical areas
- Managers who deal with data and/or analytics
- Managers of data-driven projects, business analysts
- IT executives and IT architects
- CIOs, chief data officers, data scientists
- Everyone who wants to learn and understand the importance of data governance and how to manage and organize data
Work experience
Participants should have at least 3 years of working experience and a good command of English (as this is the language of instruction).
Make sure you meet all requirements
Visit programme websiteTuition Fees
Tuition fees are shown in and the most likely applicable fee is shown based on your nationality.
-
International Applies to you
Applies to youNon-residents4200 EUR / full≈ 4200 EUR / full -
Domestic Applies to you
Applies to youCitizens or residents4200 EUR / full≈ 4200 EUR / full
Additional Details
-20% granted on tuition fee for registrations received by March 31, 2025.
Funding
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