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Data Analytics

Do you want to specialise in reading and using data to create value and growth? Then choose the BA-top-up education of 90 ECTS in data analysis.

Do you want to be a data analyst or data specialist? A bachelor's degree in data analysis gives you a broad knowledge of how to use data wisely and smartly within your field of expertise. The study builds an analytical layer on top of the higher education that you already have, for example as a financial economist or marketing economist.

As a data analyst, you can find, analyze, and disseminate data to develop your business, and your job opportunities are many. There is a need for analysts in all industries, and you will easily be able to get a job in the field that you already know. But you can also use the 1.5-year study to make a change of industry to, for example, Business Developer, Data Specialist, or Data Analyst.



Data Analytics (BA top-up)

Education Level

Top-up Bachelor's degree - 90 ECTS points


1½ years


3 months SU-eligible internship

Study Start

August September







Content and structure

The Bachelor's Degree in data analysis equips you both theoretically and practically. The first year of the data analyst training takes place as live online teaching in teams with a practice-oriented approach to data analysis. 

As a data analyst student, you will, among other things, visit companies, and you will be asked about practical cases that give you an insight into how business works with data analysis.



  • Machine Learning

    Here you learn to use common data analytical tools to extract useful knowledge and information from small as well as large data sets. You learn about advanced statistical methods and programming in this part of the data analysis training .

    You get a basic understanding of which methods you can use when you have to process your data, so that you can use your results for something. You will of course also learn about the advantages and disadvantages of the different methods.

  • Business Law

    For data to create value, it must be communicated. Often it is an advantage to do it visually or graphically. And exactly that discipline you learn here.

    And the possibilities are many more than bar charts and curves. You learn to use relevant visualization tools and how you can extract value from them.

  • Data erasure

    When you have to work with data analysis, you often spend a lot of time working on cleaning your data so that you can use it for something sensible.

    In that work, you need a great understanding of which data sources exist, how they are stored, and how they can be classified, so, of course, you have to learn about that in the course.

  • Data and business understanding

    Here you learn about data maturity and how you can identify, measure and discuss it, and you get the opportunity to delve into exciting topics such as IT system understanding and drawing up requirements specifications.

    We start from the company's strategy and implement business analytics in the company. 

  • Data law and ethics

    "Data law and ethics" equips you to assess some key legal aspects in relation to the work with collecting and processing data.

  • Science Theory

    In Science Theory you will learn about different theories and methods. You become aware of the great importance that the choice of e.g. data collection technique can have. It also has implications for your future data analyst job.

    You will be introduced to different research methods and strategies with particular relevance to the field of data analysis, and learn to explain and discuss the relevance and quality of different choices. 

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