MSc in Business Administration and Data Science Postgraduate Program By Copenhagen Business School |Top Universities
Subject Ranking

# 18QS Subject Rankings

Tuitionfee

30,400 EURTuition Fee/year

Scholarship

YesScholarships

Main Subject Area

Business and Management StudiesMain Subject Area

Program overview

Main Subject

Business and Management Studies

Degree

MSc

Study Level

Masters

Study Mode

On Campus

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.
By working with the theoretical foundation as well as hands-on statistical analysis software packages (such as R. MATLAB, SAS) you will learn how to analyze and select the relevant method and model to perform predictive analysis and forecasting to produce fact based platforms for decision making.
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.

Program overview

Main Subject

Business and Management Studies

Degree

MSc

Study Level

Masters

Study Mode

On Campus

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.
By working with the theoretical foundation as well as hands-on statistical analysis software packages (such as R. MATLAB, SAS) you will learn how to analyze and select the relevant method and model to perform predictive analysis and forecasting to produce fact based platforms for decision making.
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.

Admission requirements

7+
94+
185+
Sep

Tuition fee and scholarships

Domestic Students

-
-

International Students

30,400 EUR
-

One of the important factors when considering a master's degree is the cost of study. Luckily, there are many options available to help students fund their master's programme. Download your copy of the Scholarship Guide to find out which scholarships from around the world could be available to you, and how to apply for them.

In this guide you will find:
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Where to look for scholarship opportunities

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A list of available scholarships around the world

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A scholarship application checklist

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