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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.
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.
MSc in Business Administration and Data Science
Raavarebygningen, Frederiksberg, DK, Frederiksberg, Denmark
# 18QS Subject Rankings
30,400 EURTuition Fee/year
YesScholarships
Business and Management StudiesMain Subject Area
Program overview
Main Subject
Business and Management Studies
Degree
MSc
Study Level
Masters
Study Mode
On Campus
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
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
Exam Scores
Important Dates
Tuition fee and scholarships
Tuition Fee
Scholarships
Domestic Students
International Students
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:
Where to look for scholarship opportunities
How to apply to scholarships relevant to you
A list of available scholarships around the world
A scholarship application checklist
More programs from the university
Bachelor UG
Master PG
MBA
Undergraduate courses offered
BSc in Business Administration and Service Management
BSc in International Business
BSc in International Shipping and Trade
BA in Information Management
Business and Management (1)
BSc in Business Administration and Digital Management
BSc in Business Administration and Service Management
BSc in Business Administration and Sociology
BSc in Business, Asian Language and Culture - International Business in Asia
BSc in Business, Language and Culture
BSc in International Business
BSc in International Business and Politics
BSc in International Shipping and Trade
Business and Management (2)
MSc in Business Administration and Bioentrepreneurship
MSc in Business Administration and Data Science
MSc in Business Administration and E-business
MSc in Business Administration and Information Systems
MSc in Business Administration and Innovation in Health Care
MSc in Business Administration and Philosophy
MSc in Business, Language and Culture - Business and Development Studies
MSc in Business, Language and Culture - Diversity and Change Management
MSc in International Business and Politics
MSc in Social Science - Management of Creative Business Processes
MSc in Social Science - Organizational Innovation and Entrepreneurship
MSc in Social Science - Public Management and Social Development
MSc in Social Science - Strategic Design and Entrepreneurship
Master in Sustainable Tourism and Hospitality Management
Social Sciences and Management (2)
MSc in Advanced Economics and Finance
MSc in Economics and Business Administration - Accounting, Strategy and Control
MSc in Economics and Business Administration - Applied Economics and Finance
MSc in Economics and Business Administration - Brand and Communications Management
MSc in Economics and Business Administration - Finance and Investments
MSc in Economics and Business Administration - Finance and Strategic Management
MSc in Economics and Business Administration - International Business
MSc in Economics and Business Administration - International Marketing and Management
MSc in Economics and Business Administration - Management of Innovation and Business Development
MSc in Economics and Business Administration - People and Business Development
MSc in Economics and Business Administration - Sales Management
MSc in Economics and Business Administration - Strategy, Organisation and Leadership
MSc in Economics and Business Administration - Supply Chain Management
Executive MBA (2)
Executive MBA
Executive MBA in Shipping & Logistics
Full-Time MBA (2)
The Copenhagen Full-time MBA