M.Sc. Applied Business Data Science (Remote)
International School of Management, Germany
M.Sc. Applied Business Data Science (Remote)
International School of Management (ISM), University of Applied Sciences
Data Science & Business Analytics
Program Overview: M.Sc. Applied Business Data Science (Remote)
The M.Sc. Applied Business Data Science at ISM is a flexible, English-taught online program that combines business expertise with data science, featuring specializations in AI, Big Data, and Analytics to prepare students for data-driven decision-making. The program takes place 100% online, allowing you to study from anywhere in the world while benefiting from ISM's AACSB-accredited academic standards.
You will gain comprehensive knowledge in statistics, machine learning, big data, and programming, complemented by modules in business intelligence, cloud computing, and AI analytics. Practical projects, case studies, and interactive online seminars enable you to directly transfer your learning into real-world professional contexts.
ISM is Germany's first AACSB-accredited private university of applied sciences, a distinction held by only about 6% of business schools worldwide. As a distance learning student, you also have access to ISM's seven campus locations across Germany and benefit from a personal study coach who supports you throughout your academic journey.
Key Program Highlights
- AACSB and FIBAA accredited — among the highest international quality standards for business education
- 100% online delivery with flexible start dates and adjustable study pace for working professionals
- Practical orientation with real-world case studies, applied projects, and machine learning implementation exercises
- Personal study coach and experienced tutors providing individualized academic support throughout the program
Curriculum & Modules
The M.Sc. Applied Business Data Science curriculum is structured to build your expertise from foundational data literacy and statistics through to advanced machine learning and AI analytics. The program blends technical data science skills with business strategy and consulting competencies, ensuring you graduate ready to bridge the gap between data teams and business leadership.
Business Informatics & Data Literacy
10 ECTSCovers the fundamentals of information systems in business contexts, data management principles, and the development of data literacy skills essential for interpreting and communicating data-driven insights across organizations.
Statistics & Quantitative Methods
10 ECTSProvides a rigorous foundation in statistical analysis, probability theory, and quantitative research methods used to extract meaningful patterns and support evidence-based business decisions.
Machine Learning & Adaptive Learning Systems
10 ECTSExplores supervised and unsupervised learning algorithms, neural networks, and adaptive systems. You will implement machine learning models and evaluate their performance on real-world business datasets.
Business Intelligence & Big Data
10 ECTSFocuses on business intelligence tools, data warehousing, and big data technologies. Students learn to design BI solutions and process large-scale datasets for strategic business analytics.
Principles of Programming
10 ECTSIntroduces programming languages commonly used in data science such as Python and R. You will develop coding skills for data manipulation, visualization, and the automation of analytical workflows.
Master Thesis
20 ECTSA comprehensive research or applied project that can be research-oriented or conducted in collaboration with a company. The thesis demonstrates your ability to independently apply data science methods to solve complex business problems.
Elective Specializations
Admission Requirements
ISM focuses on your overall potential rather than standardized test scores, making the admission process holistic. No GPA threshold, GMAT, or GRE is required. Through Uni4Edu, you can receive guidance on preparing your application and ensuring all requirements are met efficiently.
Academic Requirements
- Bachelor's DegreeCompleted bachelor's degree with a minimum of 180 ECTS credits (120 ECTS program) or 210 ECTS credits (90 ECTS fast-track program)
- Business Studies CreditsAt least 50 ECTS in business or economics-related subjects within your bachelor's degree
- Quantitative CreditsAt least 10 ECTS in quantitative or methodological subjects (e.g., statistics, mathematics, analytics)
- Bridge CoursesMissing ECTS credits can be acquired through online bridge courses offered by ISM
- Admission InterviewSuccessful participation in an online admission interview with the study program director
Language Requirements
- TOEFL iBTMinimum score of 80
- IELTSMinimum overall band score of 6.0
- Alternative ProofCambridge FCE certificate, degree taught in English, or native speaker status (assessed case-by-case)
Required Documents
Application Deadlines
For personalized admission guidance, document verification, and application support, please contact Uni4Edu
Scholarships & Funding
ISM supports international students through a range of scholarship and financial aid options. As a private university, ISM allocates scholarship funds to enable highly motivated students to pursue their studies. Contact Uni4Edu for personalized guidance on available funding opportunities and application procedures.
ISM Partial Scholarship
25% to 50% tuition fee reductionAwarded to suitable, highly motivated international students to partially cover tuition fees. Partial scholarships are granted for two terms and can be renewed upon reapplication after one year.
ISM Full Scholarship
Full tuition fee coverageCovers the complete tuition fees for the standard period of master's studies. Applications for the full scholarship must be submitted before the first term begins. Does not cover accommodation or living costs.
ISM Fee Reduction
Variable reduction based on individual circumstancesAvailable for students who cannot pay full tuition fees due to economic or social conditions. The reduction amount is assessed on a case-by-case basis to ensure accessibility for deserving candidates.
For detailed tuition fee information, please contact Uni4Edu — we will guide you through the costs and available funding options for this program.
Career Prospects
Data science and business analytics graduates are highly valued across industries due to their ability to bridge technical expertise with strategic business thinking. ISM's practical orientation, industry-connected curriculum, and AACSB-accredited reputation position graduates for strong career outcomes in both established corporations and innovative startups.
Potential Career Roles
Industries & Employer Types
Rankings & Recognition
ISM is Germany's first AACSB-accredited private university of applied sciences, a distinction held by only about 6% of business schools worldwide. The university consistently achieves top positions in the CHE University Ranking and is recognized by major national and international ranking bodies for its teaching quality, practical relevance, and student support.
| Subject | Ranking Body | Rank |
|---|---|---|
| Student Support | CHE University Ranking | Top Group |
| Graduation in Due Course | CHE University Ranking | Top Group |
| Practical Training & Work Experience | CHE University Ranking | Top Group |
| Lecturer Quality & Practical Relevance | CHE University Ranking | Top Group |
How to Apply
Applying for this program is easy with Uni4Edu. Our team will guide you through every step of the process — from document preparation to final enrolment.
Contact Uni4Edu
Reach out to our team via email or phone. We will assess your profile and confirm your eligibility for this program.
Prepare Your Documents
Our advisors will provide you with a personalised checklist of required documents and help you prepare your application package.
Submit Your Application
Uni4Edu will submit your application on your behalf and keep you updated on its progress throughout the review period.
Receive Your Offer
Once accepted, we will help you understand your offer, arrange visa support if needed, and guide you through the enrolment process.
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