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.).


5 semester

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

15.500,00 euro

including registration fee, tuition fee and examination fee

Beautiful young businesswoman with computer in her office, sitting at the desk, working and drinking coffee.

Studying online

Master’s degree via digital platforms

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 5 semesters will take place online via our highly modern digital platforms.

Studying online provides a great flexibility in terms of space and time. Borders are hardly relevant any more - neither for teaching nor for students, who can connect and join in discussions from anywhere. This online study program is for students who do not want to leave their home country but still seek for an international degree. Since these programs are part time, students can continue to follow their (professional) life at home. The basis of FOM’s digital live studies are fixed-schedule courses in the form of interactive live broadcasts. The live lectures consist of a mixture of theoretical knowledge transfer and practical elements, such as exercises or case studies. In order to deepen the theoretical knowledge and apply it practically, the students work on questions and exercises, for example in breakout sessions.

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)


  • successful completion of an oral and written admission examination

English language  B2

and current employment***

* 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

*** In exceptional cases, this may be deviated from.


  • 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 13.570,00 euro
  • examination fee 350,00 euro

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

  • total cost 15.500,00 euro

    including registration fee, tuition fee and examination fee

Students can pay the total amount in one installment (before the start of the programme) or in two installments. The first installment is to be paid before the start of the programme and includes, among others, tuition fess for the first two semesters, enrollment fees and examination fees (1st installment at 7.715 Euro). The second installment includes the tuition fees for the third and fourth semester and must be paid before the start of the 3rd semester (2nd installemt at 5.785 Euro). 

Please download the application form at the bottom of this page.  

Step 1: Register your personal data and educational background in the application form.

Step 2: 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 current employment
  • 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 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.

Step 3: After receiving your conditional letter of admission you need to send the registration form as original and certified copies of the other documents via post. (Please do not send original degree certificates!)

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Download application form

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

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

Decision Focussed Management (6 CP)

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

Quantitative Data Analysis (5 CP)

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

Competence Check (Questionaire)

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

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

Transfer Assessment: Transfer-Report 1

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

Big Data Analysis Project (6 CP)

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

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

Transfer Assessment: Transfer-Report 2

Ethics & Law (5 CP)

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

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

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

Transfer Assessment: Transfer-Report 3

Master’s thesis and colloquium (25 CP)

Competence Check/Examination of the theory-practice-reflection

Subject to change.