M.Sc in Big Data & Business Analytics in Germany

In partnership with Great Learning, the MSc Big Data and Business Analytics course curriculum, designed by industry professionals and academic experts at FOM International University, equips learners with skills in assessing and improving Big Data systems, applying advanced analytics to real-world problems, and developing innovative business models for actionable insights.

Semester 1

Learners integrate essential Big Data technologies and practices, advanced decision-making techniques, ethical leadership skills, AI-driven data analysis, and foundational German language proficiency.

Big Data Architecture and Infrastructure

This module explains data center infrastructure, storage systems, and network technologies essential for Big Data. It covers aspects of business continuity, information security, and storage management, equipping learners for the evolving IT landscape.

Design Focussed Management

This module discusses, analyzes, and makes informed management decisions by integrating economic and behavioral factors, enhancing decision-making skills and collaborative abilities in various business scenarios.

Leadership and Sustainability

This module focuses on leadership theories and styles, emphasizing diversity, sustainability, and ethical decision-making, preparing students for roles requiring solid interpersonal and ethical skills.

Big Data Analytics

This module enables learners to assess Big Data applications and utilize AI, enhancing their data analysis, predictive analytics, and visualization skills for data-driven environments.

Deutsch

This module equips learners with essential German language skills, enabling them to understand everyday expressions and communicate basic needs.

Semester 2

Learners inculcate skills for analyzing structured and unstructured data, project management techniques for Big Data, and strategic planning in Business Analytics. These modules focus on data protection law and ethics and IT security management, ensuring a comprehensive understanding of the technical and ethical aspects of Big Data.

Applied Programming

This module enables learners to acquire skills to analyze structured, semi-structured, and unstructured data using relevant programming tools, essential for Big Data processing.

Analysis of Semi and unstructured data

This module provides essential skills for analyzing unstructured data, including text structuring, classification, and clustering.

Project management of Big Data projects

This module prepares learners to manage big data projects effectively, addressing unique challenges and complexities in this field.

Business Analytics

This module teaches planning, implementation, assessment, and statistical analysis of Big Data applications, fostering data-driven innovation.

Ethics and law

This module equips learners with knowledge of data protection law and ethics, focusing on compliance and ethical data analysis.

Information Security

This module addresses IT security management within a business context, covering risk management and practical security strategies.

Semester 3

Learners practice evaluating economic potential through data visualization, foundational research in economics, advanced analytics and data mining, strategic business model development, and a practical project focusing on real-world Big Data challenges to enhance research and problem-solving skills.

Big Data Consulting Project

This module instructs learners to evaluate economic potential and communicate findings through data visualization for the company’s competitive advantage.

Research Methods

This module provides theoretical foundations for research in economics, focusing on data analysis and business intelligence skills.

Big Data Analysis Project

 This module teaches advanced analytics and data mining, developing the ability to analyze large amount of data and complex problems.

Strategic Business Model Development

This module prepares learners for management roles, focusing on business model development and ethical considerations to make informed business decisions.

Applied Project I

This project focuses on empirical or practical issues in Big Data and Analytics, requiring a detailed report for applying theoretical knowledge and technical skills gained through the Business Analytics program to real-world challenges, enhancing research and problem-solving abilities.

Semester 4

Learners involve in activities to develop skills for independent completion of specialized tasks and oral presentation of a Master's thesis, and present on a predetermined topic, applying their Big Data and Business Analysis knowledge in a practical setting.

Thesis/Thesis Defense

This activity imparts skills for the autonomous completion of subject-specific tasks and oral presentation of a Master’s thesis.

Applied Project II

This project involves a presentation on a topic announced at the beginning of the semester, allowing learners to apply their knowledge earned through the Big Data and Business Analysis master program in a practical context.

Note - The curriculum is indicative and subject to change.