Is your favorite sports team winning tonight? Would you make a lot of money selling air conditioners because of climate change? As a data scientist, you are part computer scientist and part trend-spotter. Pursue a competitive edge now!
Students in the Bachelor's degree program in Statistics and Data Science focus on learning how researchers draw conclusions about climate change, how banks assess the stock risks, and how betting companies calculate their odds. Data analysis is the basis for the way the world moves. Program graduates work on these kinds of topics and more together with experts in corresponding fields and help to shape the future.
Data Managers are highly sought-after and in great demand at many companies. Their success is based on data analytics, which is why companies and institutions such as the Voestalpine, Hofer KG, Runtastic, Statistik Austria, Google, Netflix as well as banks and hospitals rely on your insight as a statistician or data scientist.
Bachelor of Science (BSc)
German (Level B2)
The Bachelor's degree program in Statistics and Data Science consists of the following areas:
New students will be required to complete the StEOP requirements at the beginning of the Bachelor's degree program. The required StEOP courses are outlined in the curriculum. You must pass the required StEOP courses or you will be limited when trying to register for additional courses.
Students in the Bachelor's degree program Statistics and Data Science acquire expertise in:
You will learn how to analyze data. The results will help you find solutions that are in high demand in today's business world, for example, as well as in industry, medicine and biology. Accompanying content and autonomous coursework allow you to individually specialize in a field.
Students learn about statistical methodologies and their applications, acquiring extensive, interdisciplinary basics and the following skills:
Did you know that ...?
How does global warming impact high-altitude alpine vegetation? How do production parameters influence product quality? As a statistician and data scientist, you are consistently involved in these types of exciting and contemporary research projects!
Your career opportunities lie in areas requiring data to be collected, systematically managed, evaluated and presented on a large scale. You are in high demand in the job market because, among other things, the demand for educated statisticians is soaring due to digitization and new ways to collect data. Our graduates learn about addressing the following:
In order to be admitted to the Bachelor's degree program, you must fulfill the following requirements.
What is the difference between statics and statistics?
Statics is about the structural stability. When teaching statistics, we aim to draw conclusions by looking at the data.
Isn't statistics "dry" and theoretical?
On the contrary. Statistical methods give you exciting insight that plays a key role in developing new drugs or supporting management decisions.
Do I have to be good in math?
It would be an advantage. You should have a basic interest and aptitude in mathematics. To help you get started, you could take a preparation course that revises the material taught at upper-level high schools.
What is the difference to the degree program in Artificial Intelligence?
The Bachelor's degree programs in Artificial Intelligence and Statistics & Data Science overlap to the extent that both programs contain courses in Mathematics, Computer Science, Data Science and Machine Learning.
The program objective, however, is different: While our program provides students with a broad spectrum of statistical methods that can be used to analyze data, the undergraduate degree program in Artificial Intelligence focuses on computer sciences.
Another difference is the language of instruction: Statistics & Data Science is offered in German.
After completing your undergraduate degree, you can continue your education by pursuing an advanced degree:
You may also find these degree programs interesting: