Master of Science in Business Analytics - Online
Online
DURATION
4 Semesters
LANGUAGES
English
PACE
Full time
APPLICATION DEADLINE
Request application deadline
EARLIEST START DATE
Request the earliest start date
TUITION FEES
EUR 449 / per month *
STUDY FORMAT
Distance Learning
* please read the Program Tuition Fees below for more information about staggered payment
Introduction
If you’re excited about using cutting-edge data science techniques to tackle real-world challenges, you can seize the opportunity to combine technical skills with business know-how in your academic journey.
Your program content in detail
This degree program offers an excellent opportunity to upskill or re-skill in the dynamic field of business analytics.
Whether you're looking to enhance your existing qualifications or acquire entirely new skills, the choice is yours. You have the flexibility to tailor your focus beyond the core modules, choosing either the data science track or delving into management topics.
In the first semester, you will build a strong foundation by studying key topics such as data analytics, ML fundamentals, empirical research, data visualization, and Python programming. In the second semester, your journey continues with a deep dive into
- Streaming platforms & NoSQL databases
- Neural Networks and Deep Learning
- Smart ETL pipelines with ML
- And a choice between Business and Strategy or Advanced Data Analytics.
A practical assignment this semester will allow you to apply your knowledge to a real-world case and build an end-to-end data analytics pipeline. In the third semester, you will further develop your expertise through advanced topics such as MLOps, cloud platforms, and business intelligence. You will also have the opportunity to refine your learning direction with a further elective. To put what you've learned into practice, you will complete an industry project or a business analytics project. Finally, your journey culminates in the Master's thesis, which is characterized by a high degree of practical relevance and provides a fitting conclusion to the program.
Admissions
Scholarships and Funding
Our international scholarships
We are convinced that all human beings, regardless of their financial means, should have access to high-quality education for their personal and professional development. That's why our scholarships support eligible students on their path toward an internationally recognized academic degree from our university.
Every year we award a limited number of international scholarships for prospective students in our English-speaking programmes. Scholarships cover 50 percent of tuition fees for the desired degree program, i.e. a Bachelor's or Master's degree.
Visit our website for instructions on how to apply for your international scholarship.
Curriculum
This is what you will learn
There's an incredible global phenomenon unfolding before your eyes: organizations around the world are using cutting-edge data science techniques to tackle real-world challenges.
If you're excited by the promising career prospects this trend offers, you can seize the opportunity to combine technical skills with business know-how in your academic journey. In doing so, you'll be positioning yourself in a high-demand field where skilled professionals are currently in exceedingly high demand.
Semester 1
- Data Analytics - Fundamentals (Engl.)
- Machine Learning - Fundamentals (Engl.)
- Data Visualization and Storytelling (Engl.)
- Empirical Research (Engl.)
- Data Science Bootcamp (Engl.)
Semester 2
- Streaming Platforms and NoSQL Databases (Engl.)
- Machine Learning - Neural Networks & Deep Learning (Engl.)
- Data Management and SMART Data (Engl.)
- Practical Project 1
- Elective Module
Semester 3
- Elective Module
- Master Thesis and Colloquium
Rankings
Our quality standards
You have high aspirations. And so do we. You can rely on the outstanding quality of our programs. We are one of the few private universities that enjoy permanent state recognition. We are system-accredited – which means that the excellent quality of our degree programs is guaranteed, as is the recognition of your degree.
The quality seal of the German Accreditation Council acknowledges the high standards of teaching and learning at our distance-learning university. Moreover, we are entitled to use our tested quality assurance processes to accredit our degree programs internally. You can therefore be sure that the degree you take will be up-to-date, application-oriented, and methodologically tested. And you can rest assured that we plan, teach, and assess according to certified processes.
Program Tuition Fee
Career Opportunities
Your Future in Business Analytics
With this innovative degree, you will bridge a skills gap that has recently become increasingly apparent in the field of business analysis and data science.
You will achieve this by combining technical expertise with a strong grounding in business intelligence. Specifically, your portfolio will include a diverse range of subjects, including machine learning, data management and engineering, storytelling and visualization, and cloud technologies, complemented by essential areas such as leadership, strategic management, and financial management.
After graduating, you'll have a wealth of career opportunities open to you, from a technically adept data scientist to a versatile business analyst. Your skills will play a key role in shaping strategic decisions and improving operational efficiency across a wide range of industries and functions. Armed with deep domain knowledge and exceptional analytical skills, you'll be well-prepared to move into more senior roles, expertly addressing the needs and challenges of today's businesses.