Data Science Management (Big Data)

Who is the university certificate suitable for?

Do you work in a technology-driven environment or want to strengthen your role as an interface between technology, management and strategy? Then this certificate will give you the know-how you need to analyze and interpret large amounts of data and use it for targeted business decisions.

Regardless of whether you work in a start-up, medium-sized company or international corporation, the university certificate in Data Science Management (Big Data) will expand your skills and qualify you as a sought-after specialist and manager for the digital economy of tomorrow.

The most important things at a glance:

  • Duration of study: 6 months + 6 months free extension
  • ECTS credit points: 10 ECTS credit points
  • Exam form: Submission task
  • Admission requirements: none
  • Start of studies: at any time
  • Credit transferability: M.A. Business Management and MBA General Management (if you have completed your first degree).
  • Tuition fees: EUR 165 per month, EUR 990 in total

Shaping the future and securing competitive advantages with data science management

In a data-driven economy, data science skills are key to the future viability of companies. If you want to make well-founded decisions today, you need more than just technical understanding - you need experts who can not only analyze large amounts of data, but also strategically transform it into added value. The part-time university certificate in Data Science Management (Big Data) qualifies you specifically for this task: you will learn how data can be used for business purposes, how modern analytics works and which organizational, ethical and regulatory framework conditions must be observed.

Understanding, controlling and strategically using data

The certificate focuses on the ability not only to collect data, but also to translate it into targeted business decisions. They deal with data types, quality criteria and the particular challenges of big data, including volume, speed and complexity. The focus is also on ethical issues and legal requirements, such as data protection and information security, as responsible handling of data is increasingly becoming a competitive advantage.

Another focus is the implementation of data-driven processes in the company: You will learn how data governance and data management can be successfully established, how data silos can be analyzed and dissolved and what potential lies in new data sources such as IoT, web tracking or data trading. The technological foundation is not neglected either: you will gain insights into modern infrastructures such as cloud-based data warehouses and data lakes and learn how these can be efficiently integrated into organizations.

From analytics to AI: how to turn data into real added value

With Actionable Analytics, you will develop a deep understanding of how to derive concrete options for action from data. You will learn how analytics methods are used in various business areas and what is important in order to achieve measurable results. Risks will also be addressed: you will reflect on how data can be misused or manipulated and learn how to use your expertise to ensure greater transparency and reliability.

The certificate is rounded off with innovative fields of application: You will immerse yourself in data mining and process mining, deal with artificial intelligence and machine learning and learn about the possibilities of robotic process automation (RPA). You will develop practical skills to optimize, automate and intelligently design data-based processes and become an indispensable key player in the digital transformation.

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