Bachelor's Degree in Statistics and Data Science.

Will your favorite sports team win tonight? Would you make a lot of money selling air conditioners on account of climate change? As a data scientist, you are part computer scientist and part trend spotter. Pursue a competitive career 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 market risks, and how betting companies calculate their odds. Data analysis serves as a basis to calculate just how the world moves. Together with experts in corresponding fields, program graduates work on these types of topics and more, helping to shape the future.

Data Managers are highly sought-after at many companies. Company success is based on data analytics and is one of many reasons just why companies and institutions - including the Voestalpine, Hofer KG, Runtastic, Statistik Austria, Google, Netflix as well as banks and hospitals - rely on your understanding and background as a statistician and/or data scientist.

 

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Key Facts

Degree

Bachelor of Science (BSc)

Duration

6 semesters

ECTS

180 credits

Language

German (Level B2)

Location

Linz

Program

Full-Time

What Makes This Program Special

  • The Bachelor's degree program in Statistics features a combination of Data Science and Artificial Intelligence and is unique in Austria. We take advantage of the JKU's resources and classes offered in the fields of computer sciences, business informatics, and artificial intelligence.
  • Students can write their thesis for a company and even get paid for their work. In the past, students have written theses for companies such as Hofer KG, Greiner, voestalpine, Pöttinger, Cubido, the Upper Austrian Chamber of Labour, Statistik Austria, and many more.
  • You will acquire a broad spectrum of skills and expertise ranging from loan approval to developing new drugs. A variety of companies are seeking experts to further company success.
  • The JKU Linz has a strong student-to-faculty ratio and students enjoy personal contact with professors and classmates at this department as well as at other departments. Students can discuss any problems or issues in a more personal setting.

Program Structure

The Bachelor's degree program in Statistics and Data Science consists of the following areas:

Darstellung der Fächer von Statistik und Data Science nach prozentuellem Anteil

Studies Introduction and Orientation Phase (StEOP)

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. Students must pass the required StEOP courses in order to continue on with the program and register for courses as outlined in the curriculum.

Areas of Specialization

Students in the Bachelor's degree program Statistics and Data Science acquire expertise in:

  • Statistics - Learn about various methods to sift through information and acquire insight to make educated predictions and prognoses.
  • Data Science - Learn how to use the right software and apply statistical methods to concrete data sets. At the same time, acquire a base-knowledge understanding of Artificial Intelligence (AI), machine learning, and data mining.
  • Mathematics and Computer Science - Skills in these related subjects can help you better understand statistical methods and better manage data. In the area of statistics, you will learn how to use the free software R and learn about the popular statistics packages SAS and SPSS. In addition, your education in computer science includes learning Python and Java.

You will learn how to analyze data. The results will help you create 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.

Video about the Program

What You Will Learn in the Program

Students learn more about statistical methodologies and their applications, acquiring an extensive, interdisciplinary understanding of the subject area along with the following skills:

  • Solid base-knowledge understanding of mathematics and computer science
  • Understanding of models and methods to acquire and analyze data
  • Apply statistical methodology to address real-world issues
  • Acquire a strong social skill set and learn how to work effectively as part of a team
  • Acquire innovative insight to further develop methods

Did you know that ...?

global warming impacts 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 studies!

Career Prospects

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 growing exponentially in lieu of digitization and new data collection methods. Our graduates learn about addressing the following:

  • Industry and Research: Can I develop a robotic vacuum cleaner that work better than previous models?
  • Healthcare: How well do relatives cope when caring for loved ones who have dementia?
  • Medicine: Does the new drug really work better?
  • Banks and Insurance Companies: Who is eligible for a loan? How much risk provision does a bank need in order to avoid a future banking crisis?
  • Statistics Offices: How can I make information available to the general public without relaying someone's personal information?
  • Market and Opinion Research: Where do young people like to go on vacation (and with whom)?
„Life as a statistics student is amazing! You are an enormously sought-after, you know things before others do, and can help shape the future.“
Anna Wirth, Student
Portrait von Statistik-Studentin Anna Wirth

Register to Enroll

Requirements

In order to be admitted to the Bachelor's degree program, you must fulfill the following requirements.

  • Hold general higher education entrance qualifications (such as an Austrian "Matura" diploma)
  • If your first language is not German, you will be required to submit proof of a B2 level of language proficiency in German.

 

Preparation Courses

To help you start your studies, you can take the preparation course "Mathematik mit Schwerpunkt auf Statistik und Wahrscheinlichkeitsrechnung" during your first semester, or the preparation course "Praktische Programmierkenntnisse" during the last week of September (provided these courses are being offered). These courses have been designed to assist students at the start of their studies as the courses cover selected topics from math classes at higher level schools and provide a basic introduction to programming.

Still Have Questions?

Then contact us!

Department

Admissions Office

Building

Bank Building

Frequently Asked Questions

Statics is about the structural stability. When teaching statistics, we aim to draw conclusions by looking at the data.

On the contrary. Statistical methods give you exciting insight that plays a key role in developing new drugs or supporting management decisions.

While a good understanding of mathematics would be an advantage, a basic interest and aptitude in mathematics is enough. The JKU offers preparation courses in mathematics to help you get started, giving you an opportunity to revise the material taught at upper-level high schools.

The Bachelor's degree programs in Artificial Intelligence and Statistics & Data Science overlap to the extent that both programs include 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.

Still Have Questions?

Do you need help registering or do you have questions about the program? Contact the JKU's Office of Student Information and Academic Advising (SIBS)!

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Advanced Degree Programs

After completing your undergraduate degree, you can continue your education by pursuing an advanced degree:

  • Statistics Master's with Two Choices to Specialize:
    Data Science or Official Statistics

    Degree Program
  • Economic and Business Analytics Master's Degree

    Degree Program

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