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Tuition fee for semester abroad may differ
Our Bachelor of Science in Computational Business Analytics 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.
Our Bachelor in Computational Business Analytics curriculum provides students with the skills required to succeed in a career where data science meets contemporary business needs. Students will take core business and data science modules and learn how to combine their knowledge in the professional world.
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 environment that
provides 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
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:
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:
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.
Data Science Module / 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.
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 'Banking & Finance', 'Innovation Management', 'Marketing' or ' Information Systems Engineering', 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 'Banking & Finance', 'Innovation Management', 'Marketing' or ' Information Systems Engineering', 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 'Banking & Finance', 'Innovation Management', 'Marketing' or ' Information Systems Engineering', select the one in which you want to expand your expertise.
Data Science Module / 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 Preparation Module
This module prepares you for writing your bachelor’s thesis by discussing in detail how to phrase your research question and choose appropriate research approaches. We also review the formal and material requirements to which your bachelor’s thesis will be subjected.
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.
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.
Our Bachelor Day takes place four times a year.
Next Bachelor Day: 11 June 2022 on Campus
Join us to learn more about our Bachelor Programmes. Attend trial lectures, take part in a campus tour and take the opportunity to get to know professors and students. Register now.
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 every day working life as part of our cooperative company projects.
Artificial Intelligence (AI) Lab
The AI Lab provides a space where new learning concepts can be developed, tested, and immediately implemented into the teaching programme. The AI Lab 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. Find out more about our AI Lab here.
Hackathons
Our Hack@LAB hackathons allow students to solve problems chosen directly by a leading company. Students from a range of skill-sets come together and work on the problems using machine-learning techniques and algorithms.
CBA Practitioner Series
CBA programme organizes practitioner talk series where experts from the industries and academia share their knowledge on different topics related to data and business and how various industries they come from are being affected by data science.
The talk series serves as a communication tool with the goal to help young growing minds at Frankfurt School understand better the world of data science and its enormous application in many business environments. It is also a learning platform benefiting anyone interested in this field, but first and foremost helping our student groups to sharpen the focus on specific future jobs they will pursue and help them centre their attention on the specific passion that will lead them throughout their programme journey. Furthermore, as we grow our practitioner talk series, it will become a place of local and international data and computational science ecosystem able to provide networking and scientific exchanges for both businesses and individuals.
Our audience next to CBA Bachelor students includes Master students of Data Science programmes, FS Data Science initiative, faculty members of different departments and experts from the outside interested in our talks and speakers.
We are happy to welcome companies and professional individuals coming from the industries or academia to share their stories with us.
For any inquiries, feel free to contact z.zujic@fs.de
Our speakers for the Fall Practitioner Series 2021, will be announced soon.
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.
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.
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.
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:
Alternatively, you can provide us with one of the following test results in your online application: SAT, ACT, or TestAS plus a standardised English test (TOEFL, IELTS, Cambridge, or Pearson). In this case, you will also be required to take part in an online or telephone interview.
We accept the following English test scores:
*If your secondary school leaving certificate does not meet the requirements for direct entry into German university set forth by the Ministry of Education, you have the opportunity to apply to our Pre-University Foundation Programme. Upon successful completion of the foundation course, you will be eligible to pursue your bachelor’s degree at Frankfurt School. If you would like to know more about the Foundation Progamme, you are welcome to take part in one of our information sessions.
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 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.
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 a Data Analyst, Data Visualisation Engineer, Data Scientist, Consultant, or Manager. Opportunities for you abound in all sectors that are experiencing a digital transformation.
Frankfurt School has an exceptional reputation and our Bachelor programmes open many doors and offer excellent career prospects for students. From day one, students are continously individually supported when it comes to their career, by our Career Services department. Exclusive events allow students to build their professional network. Furthermore, our Career Services provides students with access to our FS Mentoring Programme, various career-related workshops, and our FS Job portal throughout their studies. Frankfurt School ensures all students have the opportunity to already gain work experience at top companies during their studies and are prepared for a successful career upon graduation.
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.
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!