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Big Data & Business Analytics
Master of Science (M.Sc.)
Degree: Master of Science (M.Sc.)
Big Data & Business Analytics
The amount of structured and unstructured data that companies are providing is rapidly increasing. Therefore, companies have a high demand for Big Data analysts in companies.
In the Master's programme “Big Data & Business Analytics” at FOM University of Applied Sciences, you will learn to analyse, evaluate large and heterogeneous data sets and use them in a business context. You will acquire analytical skills which you can use specifically for predictions or optimisations, for example in marketing, sales and business development.
The Master’s programme “Big Data & Business Analytics” is taught entirely in English and will be completed with the academic degree Master of Science (M.Sc.).
Locations
Duration
Credit Points
Total costs
including registration fee, tuition fee and examination fee
Big Data & Business Analytics (M.Sc.)
Your career prospects
You can take on the following jobs:
- Big Data Manager
- Business Analyst
- Data Analyst
- Data Scientist
- Business Development Manager
- Big Data Engineer
- Chief Data Officer
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
Ontologies
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
Compliance
Information-Security (6 CP)
Technical Basis
Data protection and data privacy
Risk analysis / type of threats
Attack vectors and scenarios
ISMS
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)
Big-Data-Analysis Project (6 CP)
Selection of an area of application for the analysis project
Project work with first independently produced data analysis
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
Applied Project I (6 CP)
Master’s Thesis and Colloquium/Defence (25 CP)
Subject to change.
Full-time on Campus
How to study at FOM
In our Master’s degree programme “Big Data & Business Analytics” you will be expanding your academic knowledge, gaining specialist subject and methodological understanding and further broadening your decision-making and leadership skills. You study full-time on the campus in Essen or Munich and you also have the opportunity to establish initial contacts with companies. During this time, you will have experienced, highly qualified professors and lecturers who will also provide you with individual support.
- Prerequisites & application
- Tuition fees
- Info material
What you need for admission
University degree* (Diplom, Magister, Bachelor, Staatsexamen)
- with a share of at least 40 credit points** in (business) informatics modules
or - a university degree (in any field) with at least 10 credit points in (business) informatics and relevant professional experience, e.g., in the areas of software development or operations and network administration. Up to ten credit points may be recognised for each year of relevant professional experience, meaning that a maximum of three years of relevant professional experience is sufficient for admission. Admission is possible through a combination of credit points earned in (business) informatics modules and relevant professional experience.
or
- Successfully completed oral admission examination
- Sufficient English proficiency, corresponding to B2 level of the Common European Framework of Reference for Languages (CEFR)
* 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.
3 Steps to FOM University
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 incomings@fom.de:
- 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.
- Application_Big_Data_Business_Analytics.pdf
- 1 MB
- application/pdf
Studycosts
-
total fees
22.500,00
euro
including registration fee, tuition fee and examination fee
-
tuition fee
22.500,00
euro
in detail:
1st instalment (Deposit fee): €500 (has to be paid after receiving the invoice in order to secure the admission)
2nd Instalment: €13.257,75 (Payable immediately upon receipt of invoice before the 1st semester)
3rd Instalment: €8.742,25 (Payable before the 3rd semester)(Note: The examination fee will be charged again if the student resubmits their thesis.)
Flyer Big Data & Business Analytics
All information about the degree programme can be found here in a compact PDF document.
- Flyer_BigData_BusinessAnalytics.pdf
- 106 KB
- application/pdf
Facts about FOM
Internationally acknowledged degrees
Cooperations with over 10,000 companies
30 years of experience in academic teaching
International network with universities worldwide
Strong research competence
State-acknowledged and system-accredited
Over 2,800 professors and lectures
50,000 students from 118 nations
More than 100,000 graduates
A degree from FOM is not just a qualification – it's your stepping stone to a successful career in Germany and beyond.
President of FOM University of Applied Sciences
