Depending on their academic background, students in the MSc in Business Analytics complete one of two Pre-Programmes:
1. Pre-Programme in Business. For students with a non-business academic background. It comprises the following subjects:
a. Introduction to Marketing
b. Introduction to Finance
c. Business Policy
2. Pre-Programme in Data Science. For students with an academic background in business. It comprises the following subjects:
a. Databases SQL and non-SQL: if you want to analyse data, find patterns, or build big data applications, then you must first understand data and databases and know how to query and retrieve data. In this course, you will learn SQL and the main offers in relational databases, including non-SQL databases.
b. Intro to programming with Python: if you want to work in data science and business analytics you need to know programming. This is a basic skill. Two main languages dominate the scene: Python and R (with newcomers such as Julia). In this course, you will learn the basics of Python programming with a focus on data science and scientific programming.
c. Intro to R – Stats & Analytics: this course uses R for exploring statistics and analytics. We will approach inferences and causality relationships – together with the most common fallacies and basic elements of hypothesis testing, distributions, and descriptive statistics in R.