Why do we study biostatistics

Service navigation

Coincidence? - We get to the bottom of all things!

Every day we come across tables and graphics in newspapers, on television and on the Internet. That is why many think that this would be statistics. In truth, there is much more to it than that.

Statistics means separating chance and system, closing samples on populations, identifying causal relationships and behavioral equations, or finding small needles in large haystacks.

In the wake of the modern data revolution, statistics are becoming increasingly important in almost all areas of business, science and everyday life. The planning of clinical studies, quality control in industry, forecasting election results or economic growth rates all depend on modern statistics.

 

Statistics ...

... is that something for me?

Yes, if you enjoy math and numbers and are not afraid of computers. Because data analysis is often very computationally intensive. But communication skills and quick comprehension are also required - a large part of the work takes place with users in ever new problem areas.

... this is us!

A familiar faculty with around 800 students. This enables studying in small groups with personal support. About half of the students are women.

... the studies!

The Technical University of Dortmund offers five courses and degrees in the field of statistics. The Bachelor programs are currently free of admission.

Statistics Bachelor (6 semesters)

  • Basics of mathematics and statistics
  • Use of statistical methods
  • Basics in the minor (e.g. economics, medicine, mechanical engineering)
  • Bachelor thesis (3 months)

Statistics Master (4 semesters)

  • In-depth lectures and seminars in statistics
  • In-depth courses in the minor
  • Master thesis (6 months)

Data Science Bachelor (6 semesters)

  • Basics of mathematics and statistics
  • Basics of databases and programming
  • Bachelor thesis (3 months)

Data Science Master (4 semesters)

  • English-language course
  • In-depth lectures and seminars in statistics
  • Main events in computer science, mathematics or statistics
  • Master thesis (6 months)

Econometrics Master (4 semesters)

  • English-language course
  • Advanced lectures in statistics and mathematics
  • Key events in econometrics
  • Master thesis (6 months)

 

... priorities and career prospects!

In the Master’s degree in Statistics, you can also choose one of the following areas of specialization:
• Biometrics - applications in medicine, genetics and ecology
• Econometrics / Empirical Economic Research - Applications in Economics
• Technometry - Applications in engineering and natural sciences
• Official Statistics - EMOS: European Master in Official Statistics


These focal points are based on the most important areas of work of our graduates. These include banks, stock exchanges and insurance companies, pharmaceutical research, the aerospace industry, market and opinion research institutes or the statistical offices of our country, to name just a few selected areas of work. However, neither the minor nor the major are decisive for the future career path - our training is flexible and allows you to quickly familiarize yourself with all areas of work.
Because of these diverse employment opportunities, the career prospects for our students have always been excellent - the unemployment rate of our graduates has been close to zero for decades.

 

"Data Science: Your success is pre-programmed here." (2020, absolventa.de)

"Data scientist: The sexiest job of the 22nd century" (2019, Cassie Kozyrkov (Head of Decision Intelligence, Google))

"Data Science and Analytics are no longer just buzzwords - they are essential business tools" (2017, Steven Miller (IBM Analytics) and Debbie Hughes (Business Higher Education Forum))

"Statistician: A sexy job? Yes we can" (2015, Jacques Fournier (Bank of France))

"Data Scientists - The most sought-after all-rounders of the 21st century" (2014, Capgemini Consulting)

"Best opportunities for data scientists - thousands of new jobs are created at the interface between business and analytics - for example those for data scientists" (2013, Computerwoche.de)

"I keep saying the sexy job in the next ten years will be statisticians. People think I'm joking, but who would've guessed that computer engineers would've been the sexy job of the 1990s? The ability to take data - to be able to understand it, to process it, to extract value from it, to visualize it, to communicate it - that's going to be a hugely important skill in the next decades ... "(2009, Hal Varian (chief economist at Google) , The McKinsey Quarterly)