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Big Data & Business Analytics Master of Science

Big Data & Business Analytics Master of Science

FOM Hochschule | United Kingdom

Big Data & Business Analytics Master of Science

Duration

1 year

Intake

Winter Semester (starting in October) Summer Semester (beginning in April)

Degree

Master’s

Program Overview

The Master of Science in Big Data & Business Analytics is a specialized program designed to equip students with the skills to analyze, interpret, and leverage large datasets for strategic decision-making. The curriculum combines advanced data science techniques with business acumen, enabling graduates to drive innovation and efficiency in finance, healthcare, marketing, and technology. Students learn tools and methodologies for data mining, machine learning, predictive analytics, and visualization, while also understanding how to apply these insights to solve real-world business challenges.

 

The Master of Science in Big Data & Business Analytics is a specialized program designed to equip students with the skills to analyze, interpret, and leverage large datasets for strategic decision-making. The curriculum combines advanced data science techniques with business acumen, enabling graduates to drive innovation and efficiency in finance, healthcare, marketing, and technology. Students learn tools and methodologies for data mining, machine learning, predictive analytics, and visualization, while also understanding how to apply these insights to solve real-world business challenges.

 

Key Information

University

FOM Hochschule

Campus

Munich

Total Credits

90 ECTS

Study Mode

Full-time

Loan Availability

Yes

Program Detail

Duration

1 year

Tuition Fee:

25830 EURO

Format

Full-time

Attendance:

On Campus Learning

Study Gap:

10 years and more

Fees & Funding:

Before you enter Germany, you must pay 11,904 euros into a bank account registered in Germany. This money will be frozen, and you can only withdraw 992 euros per month for your daily expenses after you arrive in Germany.
 

Course Structure

1st Semester
Introduction to Big Data and Business Analytics
Data Management and Databases
Statistics and Data Analysis
Programming for Data Science (e.g., Python}
2nd Semester
Machine Learning and Predictive Analytics
Data Visualization and Communication
Big Data Technologies (e.g., Hadoop, Spark)
Business Process Optimization
3rd Semester
Advanced Topics in Artificial Intelligence
Cloud Computing and Data Security
Digital Transformation and Innovation Management
Elective Course (e.g., Industry-Specific Analytics, IoT Analytics)
4th Semester
Master’s Thesis
 

Entry Requirement

Academic

University degree* (Diplom, Magister, Bachelor, Staatsexamen) with a share of at least 60 credit points** in (business) informatics modules or with a share of at least 60 credit points** from subject-related modules (e.g., mathematics, statistics), Or com

Language

IELTS - 6.5

TOEFL - 90

How To Apply

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