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Bachelor in Computational Business Analytics (BSc)
incl. 1 semester abroad (tuition fee may differ)
*excl. 100 EUR application fee and 350 EUR enrollment fee after acceptance
Computational Business Analytics BSc will boost your career
Our Bachelor of Science in Computational Business Analytics (CBA) is designed for students seeking a dynamic technology-focused business career. Understanding the manifold contexts of managerial decision-making and combining that with a deep knowledge of data analysis techniques is an increasingly valuable skill set for a successful career in many industries. With the emergence of big data, companies see themselves confronted with highly complex decision-making problems that require experts who can speak fluently to both decision-makers and data scientists.
Business Analytics is concerned with the development and application of quantitative approaches to support managerial decision-making. Experts in this domain are familiar with different methods for data collection and acquisition. They can analyse data and build statistical models, and they can translate the outcomes of data analyses to actionable recommendations for managers. On top of this, they need to have a thorough understanding of the different areas of management, including accounting, finance, marketing and operations.
Top 5 reasons to study CBA at Frankfurt School
- Gain the best of two worlds: combine technical data science knowledge with profound expertise in management
- Tap into an attractive job market: the need for experts that combine technical domain knowledge with managerial competence is greater than ever
- Maintain flexibility: whether you envision a career in management or data science, our programme equips you with the skills that you need for success
- Learn in small class sizes: effective hands-on training of data science and business analytics skills
- Data is the currency of the future: learn how to use and benefit from data and receive a future-proof education
How are Business Analytics and Data Science used in everyday life?
- Amazon’s Recommendation System: The company’s use of data science algorithms allows them to determine the client’s purchasing habits in order to suggest specific products.
- SEO (Search Engine Optimisation): Businesses analyse website data to make changes based on how visitors engage with their site and thus offer better user experience.
- Social Media Algorithms: Companies such as Facebook and Instagram analyse users’ interactions to personalise the content they see on their feed.
- Predictive Maintenance: Data science is useful for companies to stay one step ahead and predict when their machinery or equipment might fail.
- Uber’s Routing Algorithm: Pick-up times, and prices, including when they surge, are calculated using data science.
- Fraud Detection: Banks and credit card companies can prevent fraud by using machine learning to detect atypical transactions and other unusual activities.
- Movie Suggestions: Like social media companies, Netflix’s algorithms use data science to understand viewing habits and recommend movies and series.
This programme is the right one for you if:
- You are ambitious and highly motivated
- You have fun working with mathematics
- You are fascinated by what computers can do in the age of big data
- You are interested in how business works and what comprises good management practice
- You want to bridge the realms of management and data science/engineering
- Or, you have not yet decided whether to take a career in management or data science and want to keep your options open
*By clicking on the single modules, the module description will appear.
Principles of Management
The course introduces the concepts, tools and principles of management in today’s global business context. Our journey begins with an introduction of what management is and a brief overview of management history. We then explore the external and internal environments that provide a context for how managers perform their jobs. We next examine how managers make decisions, as the decision making process is central to how organisations operate. The rest of the course is organised around the four functions of management, namely; planning, organising, leading, and controlling.
Lecturers:
Financial Accounting
On successful completion of this module, students will have a thorough comprehension of the basic and key concepts of bookkeeping, and a good understanding of accounting rules guiding financial statements preparation, i.e., they can:
- Describe the objectives of financial reporting
- Explain the flexibility inherent in accounting rules
- Outline the concepts and techniques of financial statement preparation
Lecturers:
Analytical Thinking & Critical Reasoning
This module pursues two objectives. Firstly, it trains students’ analytical skills and ability for logically valid and sound reasoning. Secondly, it assesses the philosophical foundations and normative implications of business studies and economics. As such, this module is all about asking probing questions. Finding answers to these questions should, in turn, make us think better and, ideally, act better.
Mathematics
This course will equip students with a basic understanding of essential concepts in the mathematical fields of calculus, algebra, numerical analysis, and optimisation theory that are required for many managerial as well as data science and machine learning applications. It serves as the building block for all other courses in the program.
Lecturers:
Introduction to Data Science
This course provides an introduction to data analysis using Microsoft Excel and Python/Pandas. The students receive a thorough introduction to programming with Python and its data science libraries; moreover, the students will also learn about the different programming paradigms underlying today's data science applications.
Principles of Finance
After successful completion of the module, students will be able to:
- Show the importance of finances for companies
- Analyse the investment and financing possibilities of companies
- Present the pricing of securities on the financial markets
- Explain portfolio and capital market theory and its practical relevance
- Examine the interaction of supply and demand on financial markets under different information scenarios
Lecturers:
Microeconomics and Decision Making
On successful completion of this module, students will be familiar with the basic concepts of decision theory and microeconomics, i. e. they can:
- Answer the basic economic question on how the interplay between individual decisions drives market outcomes and social reality.
- Outline the interrelation of decision theory and microeconomics
- Describe how decision processes are structured
- Emphasise the domain dependant relevance of different motives and preferences
Lecturers:
Statistics & Probability
On successful completion of this module, students will have a thorough comprehension of stochastic concepts needed to treat statistical problems related to economic and financial issues, i.e. they can describe fundamental concepts from different fields of statistics and probability theory.
Lecturers:
Algorithms & Software Concepts
This module will expose students to different types of algorithms that are used to numerically solve problems frequently occurring in managerial as well as data analysis applications. Students will also acquire a deeper understanding of the structure of the underlying optimisation problems, and thus be able to build computationally efficient models for data analysis.
Databases & Data Management
This course will familiarise students with the basic concepts of databases, ranging from the creation of databases over data manipulation techniques to the extraction of relevant data. Students will also explore the challenges of working with different types of data.
Operations Management
This course is about how companies can design their operations to better match supply with demand and thereby gain a significant competitive advantage over their rivals. A better match of supply and demand can be achieved by using an adequate set of operations management tools, more specifically, by implementing rigorous quantitative models and well-understood qualitative operational strategies. This course introduces a broad range of operations management tools and aims at teaching the participants how and when to apply them in practical settings.
Lecturers:
Managerial Accounting
On successful completion of this module, you can take responsibility for designing and implementing managerial accounting concepts in organisations. You will be able to critically analyse the suitability of different managerial accounting approaches for the specific context of their organisation. Moreover, you will learn to take into account the interdependencies of accounting choices when implementing managerial accounting concepts.
Lecturers:
Big Data: Ethical & Legal Implications
This module investigates ethical and legal questions that the emergence of ever-larger datasets and advancements in (information) technology creates for management and society. Special focus will be given to issues related to privacy concerns and managerial responsibility, as well as considerations of fairness.
Data Collection & Games and Incentives
The first part of this course will expose students to different methods for data collection and familiarise them with the strengths and biases of the different methods. Students will also learn how to assess the trustworthiness of data. The second part of the course will give students an introduction to game theory and the role of incentives for managerial decision-making.
Computational Statistics
In this course, students learn about state-of-the-art data analytics and machine learning methods, with an emphasis on supervised learning. The course will also expose students to the fundamentals of statistical decision theory and its importance in managerial decision-making.
Corporate Finance
On successful completion of this module, students will have a thorough understanding of the most recent advances in corporate finance. Examples can include M&A, private equity, venture capital, IPOs, debt financing, trends in financial technology, and risk management. Students will gain an in-depth understanding of the most recent trends in the industry and will be able to apply their knowledge in practical settings.
Lecturers:
Macroeconomics
The module provides basic knowledge and methods for analysing the interdependence of goods, labour, money, and capital markets in an economy. At the same time, it provides an insight into the major controversies between the most important economic schools and the consequences of these competing doctrines for the stabilisation policies of the government and the central bank.
Lecturers:
Marketing
On successful completion of this module, students will have a thorough comprehension of Marketing, i.e. they can:
- Understand the terminology, concepts, and tools of modern marketing practice
- Comprehend the consumer decision-making process and the factors that affect it
- Explain the marketing mix (product management, price management, sales management, and communications management) and the importance of integrating these elements
Lecturers:
Machine Learning
This module builds on the Computational Statistics course and covers fundamental machine learning techniques. Topics will cover a range of supervised and unsupervised learning algorithms. Students will understand how to employ the algorithms to solve a variety of practical problems ranging from financial time series forecasting to image processing.
Data Visualisation
This module bridges data science techniques with managerial decision-making. Students will learn how to effectively communicate the results of data analysis to decision-makers and how to derive actionable recommendations for management. They will also learn how to derive meaningful insights even in the presence of severely biased data.
Semester Abroad & Internship
Use your semester abroad to study at an internationally renowned university in order to focus on a specific subject or to supplement your degree programme with new study contents. Doing an internship abroad will further allow you to gain important work experience in an international environment, improve your foreign language skills and come to know new countries.
Deep Learning Elective
This module offers you the further opportunity to tailor the content of your studies to fit your interests. Choosing from a wide array of business and economics modules, you can pick the subject that interests you most.
Academic Skills Module
IMPORTANT: Parts of this module are scheduled in the first, second, third and sixth semester.
The first part of the module familiarises students with the practical basics of university work. In particular, the focus is on understanding academic texts, developing one's own theses and the critical analysis of complex arguments. The second part addresses competences in the area of group work and presentation of work results. The focus is on techniques of cooperative learning, giving and receiving feedback, as well as presenting individually and cooperatively developed results. The third part supports students in the development of empirical social science research questions and research designs. In the fourth part, students are prepared for writing their Bachelor Theses. This includes thematic, structural and organisational information as well as the opportunity to discuss potential questions and outlines.
Concentration
The three interconnected concentration modules enable you to deepen your knowledge of a business or economics subject of your choice: Choosing from concentrations such as Innovation & Entrepreneurship, Sustainability, Marketing, Banking & Finance, Consulting & Finance, Corporate Governance und Compliance (in German), Strukturierung von Transaktionen (in German), select the one in which you want to expand your expertise.
Concentration
The three interconnected concentration modules enable you to deepen your knowledge of a business or economics subject of your choice: Choosing from concentrations such as Innovation & Entrepreneurship, Sustainability, Marketing, Banking & Finance, Consulting & Finance, Corporate Governance und Compliance (in German), Strukturierung von Transaktionen (in German), select the one in which you want to expand your expertise.
Concentration
The three interconnected concentration modules enable you to deepen your knowledge of a business or economics subject of your choice: Choosing from concentrations such as Innovation & Entrepreneurship, Sustainability, Marketing, Banking & Finance, Consulting & Finance, Corporate Governance und Compliance (in German), Strukturierung von Transaktionen (in German), select the one in which you want to expand your expertise.
Data Science Elective
This module offers you the further opportunity to tailor the content of your studies to fit your interests. Choosing from a wide array of business and economics modules, you can pick the subject that interests you most.
Data Science Elective
This module offers you the further opportunity to tailor the content of your studies to fit your interests. Choosing from a wide array of business and economics modules, you can pick the subject that interests you most.
Elective
This module offers you the further opportunity to tailor the content of your studies to fit your interests. Choosing from a wide array of business and economics modules, you can pick the subject that interests you most.
Thesis
You will complete your Bachelor of Science degree by writing a bachelor’s thesis, under our supervision, on a philosophical, business or economic research topic of your choice.
Thesis
You will complete your Bachelor of Science degree by writing a bachelor’s thesis, under our supervision, on a philosophical, business or economic research topic of your choice.
Get to Know Our Students
Get in contact with our students to learn more about the programme and what student life is like at FS.
“I chose the CBA because it covers the intersection between Data Science and Business Administration, thereby giving me the best of both worlds. The programme unites students from diverse backgrounds, including experienced programmers and total beginners, as well as individuals from various cultures worldwide."
"My favorite aspect of the CBA track is the versatility of doors that are open to you: one can pursue a traditional career in finance or consulting or lean into the CBA courses and look for opportunities in or adjacent to data science. CBA has helped me learn Python, SQL and begin to understand concepts that are typically buzz words in society such as ‘machine learning'"
"I selected the CBA for its broad range of career pathways and provides a valuable understanding of IT, which is an important asset in the competitive job market. Additionally, it combines my interest in business topics with my analytical and mathematical skills. The programme challenged and enhanced my English skills, which will undoubtedly prove beneficial in my future career."
Study Model
Our Bachelor in Computational Business Analytics (BSc) is taught entirely in English and studied full-time. This means you will have lectures 4 to 5-days per week. Of course, this can vary each semester, and however, usually, you would have at least one day off during the week (lectures can take place between Monday and Saturday). It is also possible to take on a student working job whilst studying on our full-time course.
Learning Experience
Our Bachelor in Computational Business Analytics (BSc) applies a practical approach to your studies by preparing you for the realities of data science in the working world. We do this by strengthening your statistical, mathematical and computational skills and by exposing you to everyday working life as part of our cooperative company projects.
Practical study approach
Next to your internship (abroad), our studies combine theory and practice to broaden your knowledge through practical examples.
Our professors work hand-in-hand with policy-makers and executives to offer tailor-made solutions to real-world questions. Research findings are employed in leading corporations, the finance sector, politics, and on development issues. Members of our faculty frequently follow and report on current issues in the media. Furthermore, managers from leading business companies are frequently invited by our teaching staff for guest lectures for our students.
We provide a space where new learning concepts can be developed, tested, and immediately implemented into the teaching programme. Frankfurt School is equipped with four high-end computers using the latest GPUs for AI acceleration. Students are also invited to attend our Hackathons and additional workshops
During your studies, you will learn to analyse and calculate a company's current situation by working on various case studies. If you wish, you may also write your bachelor's thesis in cooperation with a company.
Semester and Internship Abroad
The 5th semester abroad is an integral part of the Bachelor of Science. Firstly, you will study at one of our over 100 partner universities. This will be an exciting and challenging experience. Every partner university offers different opportunities. The Frankfurt School International Office will support you with organising your semester abroad.
You will then also do an internship abroad, which will allow you to gain practical experience around the world. The internship can be done in a different country from where your exchange university is located. Our Career Services will assist and support you during your search for an internship.
Career Possibilities
On completion of the Bachelor in Computational Business Analytics (BSc), you will be qualified to connect the dots for companies. Business Analytics gains increasing importance in practice, and many global companies, including banks, consulting, pharmaceutical, automotive, aviation, consumer goods, healthcare companies, and large manufacturing and service firms, are seeking experts who understand the specific needs of managerial decision-making and can provide relevant (data-driven) solutions for genuine business transformations.
Opportunities for you abound in all sectors that are experiencing a digital transformation. Both the private sector and the public sector are constantly looking for ways to increase efficiency and effectiveness. Your skills as a Business Analyst are in such high demand that you may even receive job offers before you graduate. Job opportunities will include but are not limited to working as:
Excellent Career Prospects
Given Frankfurt School’s excellent reputation, our Bachelor programme offers outstanding career prospects. From day one, students are continuously individually supported by our Career Services department when it comes to their career. Exclusive events allow students to build their professional network. Furthermore, our Career Services provide students with access to our FS Mentoring Programme, various career-related workshops, job fairs and our FS Job portal throughout their studies.
Entry Requirements
We strongly recommend you apply as early as possible, however no later than June 30th if you would like to be guaranteed a spot in our Bachelor of Science programme. You are required to provide us with all necessary documents and successfully complete our application process.
Applications after 30 June will still be considered, however, places will be assigned depending on availability and academic merit.
You must fulfill the following requirements before the start of your studies:
- Complete a Secondary School Diploma* (e.g. German Abitur, Fachhochschulreife, IB, EB, or equivalent) - If you have not graduated yet, then you can apply by uploading your last two school report cards.
- Successfully complete our Online Assessment Centre, which consists of:
- Maths test
- Cognitive tests
- English test
- Interview
Bachelor Prep Course - Foundation Year
Would you like to study at Frankfurt School but do not yet meet the requirements for direct entry into our bachelor programme? Or perhaps you want to get a solid foundation before moving on to the next level of education? The two-semester Foundation Year taught entirely in English will prepare you academically for the rigour of undergraduate studies at Frankfurt School.
Rankings
Frankfurt School is one of the best European Business Schools. Accredited by AACSB, EQUIS and AMBA, the three leading international associations of business schools, Frankfurt School is one of the few institutions worldwide, which has been awarded the so-called "Triple Crown". Frankfurt School also holds the System accreditation of the German Accreditation Council. University rankings are another important source of information for prospective students, where Frankfurt School regularly achieves excellent results.
Financing & Scholarships
Your degree is an investment towards your professional future. As a business school of international standing, we not only offer you academic excellence – we also offer you excellent career prospects.
As we guarantee the quality of our teaching and research, we also expect the highest levels of commitment and motivation from our students.
We know that financing your studies can be an issue and must be thought about in detail. This is why we give our students the opportunity to receive financial aid or scholarships. Since 2020 we offer a Data Science Diversity Scholarship, which applicants for the BSc in Computational Business Analytics might find particularly interesting.
Bachelor Day (Open Day)
Bachelor Day: 8 November 2025
The next opportunity to get to know our professors and students and get an overview of our Bachelor programmes and financing options will be on 8 November 2025. Register here!
Contact
Sazzad Hosain
Senior Recruitment Manager
Get more information
Where can you meet us?
We offer several ways to get to know us such as trial lectures, fairs outside of Frankfurt and personal consultations. Visit our page to find out more!
