Business IT & Data Analysis

The focus of this semester is on a medium- to large-sized organisation. During this semester you will learn how to systematically analyse organisational processes and advise how these processes can be optimised. In order to analyse these processes, you will create informal insights through Exploratory Data Analysis. Besides that, you will create formal insights into the data using basic modelling. Using these insights, you realise a suggested IT system (or part thereof) based on your design, provide means to implement this in the organisation using given techniques and measure and monitor its usage.

You will work on several themes, namely business, data analysis and overall professional skills. Because the themes cannot work independently of one another, you will work on a larger project, the professional task, to produce the professional products in which these themes come together. Besides this, you will work on a separate Business personal project and a Data personal project. The theory lessons, workshops by teachers as well as occasionally by partners, assignments and challenges prepare you to execute these projects. Some of the professional products you would create this semester are a business advice, an implementation plan, a process automation solution, an interactive dashboard and a data analysis report. Keeping in line with the 21st century trends, blended learning is also used to offer a rich and dynamic learning experience. We also organise company visits and provide opportunities to learn more about the future prospects.

Highly recommended to do before this semester: “Business IT & Data Analysis Introduction”. Knowledge of relational databases and data analytical tools (SQL, Excel, R/Python) is necessary for successful completion. A good grade record is highly recommended if you want to do this semester without doing “Business IT & Data Analysis Introduction”.

Possible semesters after this: “AI, Machine Learning & Data”, “Applied Generative AI” and “Industry 4.0 & Internet of Things” are popular options.