Big Data & Business Analytics

Master of Science (M.Sc.)

Degree: Master of Science (M.Sc.)

Big Data & Business Analytics

When is the appropriate time to introduce products? Which audiences should be targeted? Should we invest in new production lines?

Big Data is becoming increasingly more important in business practice: from finance to the health sector, the amount of structured and unstructured data that companies are providing nowadays is rapidly increasing. Big Data specialists bridge the gap between logic and quantitative methods, programming languages, frameworks and infrastructure, all the way to the interpretation and implementation of the results in business processes.

There is high demand for Big Data analysts in companies. Therefore, the FOM Hochschule has developed a study programme, which focuses on the corporate value of data. From the summer semester 2022 onwards, (economic-) programmers, engineers, and scientists, as well as mathematicians and statisticians, can enroll in the new full time Master’s programme “Big Data & Business Analytics” which is taught entirely in English.

The Master’s degree in Big Data & Business Analytics will be completed with the academic degree Master of Science (M.Sc.). 


4 semester including Thesis

Credit Points

120 ECTS

Accreditation (Master)

The FOM University of Applied Sciences is accredited by the German Council for Science and Humanities for its special service to education and research and was the first private university in Germany to receive system-accreditation by the FIBAA in 2012. This seal of approval proves that the quality management of the FOM University meets the high standards of the Accreditation Council, the most important body for the quality of studies and education at German universities. In 2018 the FOM University received system-accreditation for further eight years. Thus, all courses of study offered by the FOM are accredited. A Master’s degree from the FOM University enables entry to a subsequent a PhD programme.

Total costs

22.500,00 euro

including registration fee, tuition fee and examination fee


Studying full-time in Germany

Master’s degree on campus

International students from all over the world now also have the opportunity to participate in the Big Data & Business Analytics Master’s programme at FOM Hochschule. All four semesters will take place at FOM Hochschule at the study center in Essen, Germany.

Experience life in Germany and on our campus, deepen your academic skills and expertise in Big Data and Business Analytics, improve your intercultural competencies and interact with other international students.

What you need for admission

University degree* (Diplom, Magister, Bachelor, Staatsexamen)

  • with a share of at least 60 credit points** in (business) informatics modules


  • with a share of at least 60 credit points** from subject-related modules (e.g. mathematics, statistics)


Successfully completed oral and written admission examination
English languague B2

* Degrees from accredited Bachelor training programmes at Berufsakademien [tertiary education institutions offering academic training and practical in-company training]
** FOM awards credit points according to the standards of the European Credit Transfer and Accumulation System (ECTS). They measure the workload required of students in the study programme.


  • registration fee 1.580,00 euro

    one-time payment registation fee.

    Participants who have already completed or are taking a course of study or a recognised continuing education programme at one of the institutes belonging to the BCW Group pay half the enrolment fee. 

  • tuition fee 20.570,00 euro
  • examination fee 350,00 euro

    - The examination fee will be charged again if the student resubmits their thesis.

  • total fees 22.500,00 euro

    including registration fee, tuition fee and examination fee

Total fees payable in two installments (before the start of studies) or in three installments. The first installment (enrollment fee of €1,580) is payable upon receipt of the Offer Letter to confirm the place. After that, the rest can be paid in one installment (€20,920). Otherwise, students can split the fees into a second and third installment. The second installment must be paid before the start of the program and includes, among other things, the tuition fees for the first two semesters and the examination fees (2nd installment of €12,177). The third installment must be paid before the start of the 3rd semester and consists of the tuition fees of the 3rd and 4th semester (2nd installment à €8,743).

3 Steps to FOM

How to Apply

Register your personal data and educational background in the application form.

Please send the filled out and signed application form as well as the following documents as certified copies via email to 

  • Authenticated copy of General university entrance qualification certificate
  • Curriculum vitae
  • Authenticated copy of Bachelor degree certificate (for details check the admission requirements) 
  • Authenticated copy of Transcript of records Bachelor’s degree
  • If applicable: Authenticated copy of Master degree and diploma
  • Proof of sufficient English language skills (at least B2 proficiency level – for details check the admission requirements)
  • Proof of professional activity for at least 1 year after completion of the bachelor degree (prerequisite)
  • Scan of passport

Please always enter your full name as it is mentioned in your passport. If you do not have a last name, please enter "-".

All documents must be in German or English. If your original document is written in another language, you must have your document translated by a certified translator. Please then send a certified copy of the original and the certified translation when applying.

Please send all documents as one PDF and name the file as followed: Last name, first name_Study programme (e.g. Smith, Jane_Big Data and Business Analytics). 

Note: Where can I have my documents certified?

  • issuing institutions, e.g. schools, universities and language schools,
  • the Ministry of Education in your home country
  • the German embassies and consulates,
  • the cultural department of the embassy of the country from which the certificate originates,
  • the authorities and notaries who are authorised to carry out official certification in your home country.

Important: Translators are not allowed to certify documents in the original language.


After the successful admission the originals and authenticated documents as well as the originally signed registration form need to be handed in at the International Office.

Please download the application form below.

883 KB
Download application form


5 MB

Semester Overview

Study programme

Big Data Architecture & Infrastructure (5 CP)

Enterprise architecture management (EAM)
Technological requirements for big data
Vital infrastructures for data-driven business models
Complex processing by continuous data sets

Decision Focussed Management (6 CP)

Traditional decision theory
Management decisions from a psychological perspective
Decisions in a strategy context

Leadership & Sustainability (6 CP)

Leadership as part of normative, strategic and operative business management and in the context of diversity management
Leadership styles, techniques and instruments
Ethics and sustainability

Big Data Analytics (6 CP)

Data sources and data classification
Visual analytics/data discovery/explorative data analysis
AI methods such as machine learning
Computational intelligence: fuzzy logic, neuronal networks, evolutionary algorithms

Deutsch (6 CP)

Fundamentals in listening, reading, writing and speaking
Basic grammatical skills
Application in situations of everyday life

Applied Programming (6 CP)

Basic principles and application of programming languages for big data: SQL, R and Python
Languages and tools for data management
Data integration
ETL v. ELT (data lake)

Analysis of Semi- & Unstructured Data (5 CP)

Crawling and pre-processing
Text mining/web mining
Social media analysis
Semantic and graphic modelling/technologies

Project Management of Big Data Projects (5 CP)

Planning, management and control of big data projects
Challenges, specific features and success factors of big data project management
Architectural and technological features
Introduction of Big Data applications
Integration and harmonisation of data sources and planning of data analyses and reporting

Area of Application: Business Analytics (5 CP)

Goals and fields of activity for big data applications
Sector and type of data sources
Application of processes such as association analysis, decision tree process, neuronal networks, cluster analysis

Ethics & Law (5 CP)

Ethical aspects of the use of big data
Legal aspects of the use of big data

Information-Security (6 CP)

Technical basis
Threats and risks
threar prevention

Big Data Consulting Project (6 CP)

Selection of an area of application for the analysis project
Data storytelling
Addressing a management issue
Data acquisition, processing and analysis
Preparing findings for management

Quantitative Data Analysis (5 CP)

Qualitative and quantitative research methods
Quantitative data analysis (applications with R, statistical test methods, multivariate processes)

Strategic Business Model Development (5 CP)

Results of big data analyses as drivers of business model development
Planning of big data strategy/business analytics strategy
Strategy approaches and strategic planning and management instruments
Data-based business models and business transformation
Open innovation/innovation management

Big Data Analysis Project (6 CP)

Selection of an area of application for the analysis project
Project work with first independently produced data analysis

Applied Project I (6 CP)

Master’s thesis and colloquium (25 CP)

Applied Project II (6 CP)

Subject to change.