Using data to gain insights and improve decisions is an exciting challenge for businesses and public administration. If you are interested in the B.Sc. in Data Analytics in Economics and Business, you will gain a competitive advantage. Not only will you understand data, but you will also be able to apply it in a business context. This will enable you to communicate effectively with different stakeholders and make strategic decisions. Our degree programme combines traditional and modern analytics while imparting knowledge in the fields of economics, management and entrepreneurship. You will also complete a compulsory work placement to gain practical experience. Data analytics is used in almost all industries to determine trends and gain competitive advantage.

If you are interested in data analysis, mathematics, statistics and computer science, the Data Analytics in Economics and Business degree programme is just right for you:

- Interest in data and numbers: If you enjoy working with data, recognising patterns and extracting information from numbers, you will be fascinated by Data Analytics.

- Enthusiasm for mathematics: The degree programme is based on mathematical concepts and statistical methods. If you are passionate about maths, you can develop your skills on this degree programme.

- Enthusiasm for computer science: As data analytics often has to do with programming and databases, people with an interest in computer science and software development can benefit from this degree programme.

- But especially if you are looking for direct applicability in business: Data Analytics in Economics and Business creates a link between data analysis and business management aspects. If you are interested in economic issues and want to support them with data, this degree programme will appeal to you in particular.
 

Data analytics is the process of exploring, transforming and analysing data to find trends and patterns that provide meaningful insights and drive efficiencies to support decision-making. Modern data analytics strategy enables organisations to make more informed business decisions, and economists use analytical tools to verify or disprove scientific models, theories and hypotheses.

The study programme consists of 60% economics content and methods and 40% mathematics and computer science. In addition to learning the Python programming language, the programme also includes empirical methods, machine learning, software environments such as R or SPSS, market research, marketing, human resource management, business analytics, process mining and business intelligence.
 

The curriculum of the Bachelor's degree programme "Data Analytics in Economics and Business" is structured in such a way that the basics of economics, mathematics and computer science are taught in the first semesters. The modules listed are all compulsory modules. Students then take the profile areas, whereby the compulsory profile area "Data Analytics" with 30 CP is compulsory and is divided into compulsory and compulsory elective modules.

The two profile areas "Business Analytics" and "Economics and Finance" consist exclusively of compulsory elective modules. A minimum of 12 CP and a maximum of 24 CP must be earned from each of the profile areas. If 24 CP are earned in one profile area, this is recognised as a major, the other as a minor.
 

Fundamentals of Economics 30 CP

Compulsory modules

• Business Administration I: Accounting and Finance
• Business Administration II: Management
• Business Administration III: Intelligence, Logistics and Operations
• Microeconomics
• Macroeconomics

Fundamentals of Mathematics (for computer scientists) 21 CP

Compulsory modules

• Mathematics for Computer Scientists: Algebraic Structures
• Mathematics for Computer Scientists: Combinatorics, Stochastics and Statistics
• Mathematics for Computer Scientists: Analysis

Fundamentals of Computer Science 22 CP

Compulsory modules

• Fundamentals of programming
• Web 2.0 Technologies 1 (Fundamentals and Techniques)
• Web 2.0 Technologies 2 (services, security and data protection)
• Scientific Computing

Compulsory profile area "Data Analytics" 30 CP

Compulsory modules

• Fundamentals of Data Science
• Introduction to Machine Learning
   

Wahlpflichtmodule

• Stochastische Modelle in Management und Wirtschaft
• Angewandte Ökonometrie
• Vorhersagende Analytik: Computergestützte Modellierung und Simulation
• Mathematische Methoden der KI
• Regressions- und Zeitreihenanalyse
• Datenvisualisierung
• Maschinelles Lernen I - Theoretische Grundlagen

Minor/specialisation profile area "Business Analytics" 12-24 CP

Compulsory elective modules

• Logistics Management I/II
• Business Administration I/II
• Business Administration I/II
• Business Informatics I/II
• Introduction to mathematical modelling
• Linear and network optimisation

Note: The modules WIW-BWL-LM/MS/OM/IS are all offered as (4V; 6.0LP). At the request of the students, more flexibility was desired in all WiWi degree programmes, so that the 6 LP modules can also be split and studied as 3 LP modules in all combination variants.

Minor/Major profile area "Economics and Finance" 12-24 CP

Compulsory elective modules

• Economics of Sustainability
• Game Theory
• Economic Policy
• Investments and Financial Management
• Fundamentals of Financial Mathematics

Work placement 6 LP

The content of the internship should be relevant to the student's degree programme. It should offer the opportunity to apply theoretical knowledge from the degree programme in practice and to gain practical experience in a relevant subject area.

The internship must comprise two full person-months and must be completed in full-time working hours. This procedure can be deviated from if the student has worked full-time in a relevant business or IT profession in a company for at least 1 year without interruption before starting the degree programme, has worked at least 1000 hours as a working student or has completed a relevant subject-related apprenticeship. An application for recognition of academic achievements can be submitted to the Examination Office, the decision is made by the Examination Board.
 

Open compulsory elective area 14 CP

From the programmes offered by RPTU and from abroad (Learning Agreement)

Scientific work

• Bachelor seminar 6 CP,
• Bachelor thesis 15 CP

Total: 180 CP

Turning data into insights that can improve your decision making is a key challenge for organisations of all sizes and in all industries. Whether you find yourself in logistics, technology, retail, healthcare, manufacturing, consulting, banking and finance or insurance, the data gleaned from the economic interaction of market participants helps to identify and influence trends to give you a competitive advantage over other players in your field. Companies are therefore looking for experts like you who are able to use data to make informed strategic decisions. The same applies to public administration. The aim here is to minimise costs and at the same time provide better services for citizens by making the best use of available information.

As a graduate of the B.Sc. in Data Analytics in Economics and Business, you will have a clear competitive advantage. Companies are looking for people like you who not only speak the language of data, but also know how to apply it in a business context. Your multi-faceted skills will enable you to communicate effectively with clients, programmers, managers, data scientists and policy makers to make strategic decisions.

The programme offers a multidisciplinary curriculum that prepares you for work in all data-intensive professional fields in business and finance. Companies, the public sector and associations are looking for analytically gifted individuals like you who not only have statistical and programming skills, but also understand the business and economic context in which they will be working, as well as the relevant legal and ethical boundaries of this work. The B.Sc. in Data Analytics in Economics and Business aims to meet this demand in the labour market. The Bachelor's degree qualifies you for a career as a data analyst, but also provides the ideal preparation for completing a Master's degree and taking up higher-qualified positions in the profession.

According to Stepstone, there are currently 5,445 vacancies for data analysts and 336 vacancies for data scientists. [As of 27/01/2025]

We understand that the wealth of information online can be overwhelming, and sometimes it can be difficult to find the right answers to your questions. That's why we're here to answer your questions in person and help you choose the right degree programme for you.

There are three simple ways you can find out more about our degree programmes:

1. telephone counselling: Call us on the following number: 0631 205 3734 and our friendly and competent advisors will be happy to help you. You can ask questions about the content of the degree programmes, admission requirements, tuition fees and much more. We will take the time to make sure you get all the information you need.

2. video counselling: If you prefer to speak face-to-face, we also offer video counselling. Simply make an appointment by sending us an email to dekanat-hiwi(at)wiwi.uni-kl.de. In a video consultation, we can use screen sharing to present our degree programmes and related resources directly to you.

3. come and see us: Building 42 Room 122, Gottlieb Daimler-Str. , 67663 Kaiserslautern
Consultation hours for student counselling: Mon. - Thurs.: 09:00 - 17:00
It is best to make an appointment in advance: Phone: +49 (0)631 / 205 - 3734 or e-mail: dekanat-hiwi(at)wiwi.rptu.de

Our aim is to help you make your decision and ensure that you choose the right degree programme for you. We look forward to getting to know you and answering your questions.

Remember that choosing your degree programme is an important step that can have a significant impact on your future career. We are here to make sure you make the best possible decision.

We look forward to receiving your call or email and to accompanying you on your educational journey!

Our student counselling service:
Building 42 Room 122
Phone: +49 (0)631 / 205 - 3734
E-mail: dekanat-hiwi(at)wiwi.rptu.de
Consultation hour student counselling
Mon. - Thurs.: 09:00 - 17:00
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and the study programme manager:
Dr Miruna Sarbu, Building 42 Room 130, Phone: +49 (0) 631 205 3116, E-Mail: studienbuero(at)wiwi.uni-kl.de
Office hours: Currently only by telephone or e-mail