Big Data and Business Analytics
Cooperation Study Programme with Keystone Global Careers
Master’s Study Programme
Big Data & Business Analytics

Degree: Master of Science (M.Sc.)

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 winter semester 2018 onwards, (economic-) programmers, engineers, and scientists, as well as mathematicians and statisticians, can enrol in the new Master’s programme “Big Data & Business Analytics”.

In cooperation with FOM Hochschule, students from India now also have the opportunity to participate in the Big Data & Business Analytics Master’s programme at Keystone Global Careers in Ahmedabad, India.

The first two semesters of the study programme will be held at Keystone Global Careers in India, and the third and fourth semester will take place at the FOM Hochschule at the German University Center in Essen, Germany.

The Master’s degree in Big Data & Business Analytics will be completed with the academic degree Master of Science (M.Sc.). The degree will be awarded by FOM Hochschule für Oekonomie & Management.

Information on Master’s Programme “Big Data & Business Analytics”

Degree: Master of Science (M.Sc.) 

Length: 4 Semester inclusive Thesis

Place of Study: 1st & 2nd Semester: Keystone Global Careers, India / 3rd & 4th Semester: FOM Hochschule Essen, Germany

Course Language: English

Accreditation: The FOM – a non-profit-oriented University of Applied Sciences – and its academic degrees are state-recognized and all its study programmes are accredited. FOM Hochschule is Germany’s largest private university with over 20 years worth of teaching and research experience 

Cooperation with: Keystone Global Careers, India

Academic cooperation India

Contact in India

Avinash Kumar - Ahmedabad

+91 9099003407

Sadhana dubey - Jaipur

+91 8239606628

Contact at FOM Hochschule

Michaela Schönherr-Gündogdu M.A.

International Office +49 201 81004-446

Contact for Students

Lena Runge M.A.

International Office +49 201 81004-733

Steven Brandau

International Office +49 201 81004-767

Admission Requirements

Bachelor’s degree with at least 60 credit points in (Economic-) Computer Science modules


Bachelor’s degree with least 60 credit points in subject related modules (for example, Mathematics, Statistics)



First Semester at keystone Global Careers


Big-Data-Architecture & -Infrastructure

  • 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

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

Leadership & Sustainability

  • 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

  • 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


  • Data protection and data privacy
  • Risk analysis / type of threats
  • Attack vectors and scenarios
  • IT security guidelines

Second Semester at keystone Global Careers

Applied Programming

  • 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

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

Project management of Big-Data-Projects

  • Planning, management and control of dig 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

  • 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

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


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

Third Semester at FOM Hochschule

Big-Data-Consulting Project

  • 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

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

Big-Data-Analysis Project

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

Strategic Business Model Development

  • 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

Fourth Semester at FOM Hochschule

Master Thesis


Applied Project II

Fees & Registration

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