Through this combination at the Business Administration and Data Science MSc course from the Copenhagen Business School (CBS) you will learn how to use theories, models and tools for data analytics to generate actionable insights and develop fact based platforms for decision making by conducting visual, text and predictive analysis.
Through a mix of theory and hands-on exercises you will learn to design, develop, implement, test and document technical business data analytics solutions to support organizational processes and/or satisfy business needs by using data analytics oriented programming languages (such as Python, R), Big data platforms (such as Hadoop, Spark) and open source technologies. You will work with visual, text and predictive analytic techniques including latest methodologies from data mining, machine learning and deep learning in order to transform Big data sets into business assets.
You will understand the role of data analytics in the digital economy, and how companies can deal with the challenges and opportunities provided by the increasing availability of data, which is changing the business landscape. This will allow you to understand both the strategic and operational impact digitalization has on business innovation and strategy. In combination with courses on visual analytics this will enable you to communicate across both the technical and the business side of business intelligence in both the development and presentation of solutions using business data analytics.
Building on this foundation you will also learn about the international and national regulations and legislations for assessing and designing business data analytics solutions and products in accordance with the applicable legislation to ensure regulatory compliance and reflect on data ethics.
Get more detailsVisit official programme website
- Innovation and Strategy in the Data Economy
- Datafication: Regulation, Governance, Security, Privacy and Ethics
- Foundations of Business Data Analytics: Architecture, Statistics and Programming
- Visual Analytics
- Data Economics
- Data Mining, Machine Learning and Deep Learning
- 24 months
Start dates & application deadlines
- Apply before , International
- Apply before , EEA/EU
DisciplinesBusiness Administration Applied Mathematics Data Science & Big Data View 6 other Masters in Data Science & Big Data in China
We are not aware of any academic requirements for this programme.
Your educational background will be subject to an overall individual assessment in order to establish if your bachelor's degree qualifies you for the programme and the academic areas listed below are covered in full and as prescribed.The specific entry requirements are min. 30 ECTS-points within one or more of the following areas:
- Quantitative Methods (statistics, econometrics, mathematics and the like)
- Information Technology (information technology; computer science; programming; computer algorithms; information systems; information management; computer-mediated communication; information architecture and design; systems design; and the like)
- Economics (economic theory, micro/macro economics, international economics, monetary economics and the like)
International15200 EUR/yearTuition FeeBased on the original amount of 15200 EUR per year and a duration of 24 months.
EU/EEAFreeTuition FeeBased on the original amount of 0 EUR per year and a duration of 24 months.
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.
Apply and win up to €10000 to cover your tuition fees.
Updated in the last 3 months
Check the official programme website for potential updates.