FOM Hochschule | United Kingdom

1 year
Winter Semester (starting in October) Summer Semester (beginning in April)
Master’s
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.
University
FOM Hochschule
Campus
Munich
Total Credits
90 ECTS
Study Mode
Full-time
Loan Availability
Yes
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.
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
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
IELTS - 6.5
TOEFL - 90
contact us
Shakil Education Group
Find out if you meet the requirements for this program in just a few minutes.
Check Eligibility