Applied Statistics (B.A.) (two subjects)

During your studies, we will teach you the fundamentals of applied statistics and the relevant mathematical principles. We will also cover practical applications, statistical software and programming, as well as aspects of data collection and protection. This ensures that sufficient attention is given to both methodological principles and applications. During the specialisation phase, you can pursue your own interests in areas such as econometrics, data science, and machine learning.

In the professionalisation area, you can tailor your studies to ensure you are optimally prepared for your chosen Master's programme or the world of work. You can enhance your profile by selecting one of three options: the specialist profiles ‘Statistics, Econometrics and Machine Learning’ and ‘Data Science’, or the career-oriented profile, which focuses particularly on the fundamentals of economics. You can also acquire key skills crucial for your future career, such as language, leadership and communication skills.

Based on the two-subject Bachelor's degree, the consecutive Master's programme in Applied Statistics allows you to deepen your methodological skills, while depending on your chosen profile, you can continue with your second subject.

Studying two subjects promotes mental flexibility and creativity. It enables you to expand your intellectual boundaries and develop new ways of thinking. You will learn to combine different subject areas and link their methods and approaches. This will strengthen your analytical skills and help you to view complex problems from different perspectives. Additionally, collaborating with people from different subject areas will hone your communication and teamwork skills.

Applied Statistics can be combined with around 40 other subjects, but not with teaching subjects. For instance, you could study Applied Statistics alongside Economics to acquire the skills needed to analyse data for evidence-based policy advice in ministries or non-governmental organisations (NGOs).

Combining Applied Statistics with Sports Science could lead to a career in data science teams, where you could predict injury risks or empirically evaluate the current performance of athletes. Study Applied Statistics and Digital Humanities to collect humanities data in your professional life and visualise it with modern tools. Combining applied statistics with sociology allows you to focus on human relationships between couples, families, groups, and entire societies.

You can also combine applied statistics with mathematics and computer science if you want to complement your knowledge of statistical methods with deeper theoretical or algorithmic understanding.

The two-subject Bachelor's programme in Applied Statistics provides a solid foundation in statistics and data analysis, while offering the chance to complement this with specialised study in a second subject. It combines sound methodological training with the chance to develop an interdisciplinary profile. The programme is therefore aimed at students with an affinity for mathematical content who want to apply it to practical issues.

To study Applied Statistics, you should be interested in the quantitative analysis of empirical data. Mathematical knowledge is required as a basis for such analyses. Before lectures begin each semester, the faculty offers a preparatory mathematics course for first-year students, in which school mathematics content is reviewed to prepare students for their studies. The programme includes teaching in programming, so no prior knowledge is necessary.

The preliminary mathematics course covers relevant content from the following areas of German school mathematics:

• Calculating with fractions, powers, roots and logarithms
• Solving equations with one variable and systems of equations with two variables
• Functions and derivatives of functions (differential calculus)

These topics are then explored in greater depth as part of the Mathematics for Economics module, with the aid of worksheets and in small study groups, as well as optional mathematics coaching.

As some advanced courses are taught in English, applicants must demonstrate English language skills at level B2 to be admitted to the programme. Detailed information can be found in the admission regulations (see ‘Structure').

There are many professions that require interdisciplinary knowledge that is not taught in any of the usual degree programmes. In particular, an increasing number of professions require a combination of specialist knowledge in a specific field and general methodological skills in applied statistics, machine learning or artificial intelligence.

Examples include biometricians in the health sector, data scientists in retail and risk managers in the financial industry, as well as numerous other fields. Our two-subject Bachelor's programme enables you to design a course of study tailored to your career aspirations.

Building on this, you can further develop your methodological skills in the consecutive Master's programme in Applied Statistics, or continue with your second subject depending on your chosen profile.