Who is the Applied Business Data Science distance learning course suitable for?
The distance learning Master of Science in Applied Business Data Science is aimed at working professionals and graduates with a background in economics who want to specifically apply data analysis techniques in a business context. The target group includes especially specialists from the fields of business, IT, engineering, or natural sciences who want to advance their careers in data science, business analytics, or digital transformation. The course is also suitable for career changers who have the relevant preliminary qualifications and a fundamental interest in data-driven business models.
What formal requirements apply for admission?
To be admitted to the Master Applied Business Data Science distance learning course at ISM, you need:
- A completed bachelor's degree with at least 30 ECTS in the field of economics.
- Missing economic ECTS credits can be made up through online bridging courses at ISM.
- A first university degree in related subjects (e.g. computer science, mathematics, engineering) can also be considered, provided basic knowledge of economics is proven.
- Applicants without a formal university entrance qualification can qualify with a university entrance examination, provided they have at least two years of relevant vocational training and three years of relevant professional experience.
- The course is conducted in English. You should therefore be able to demonstrate corresponding English skills.
On a personal level, you should bring analytical thinking, a strong willingness to learn, as well as an interest in digital technologies and data-based decision-making processes. Initial practical experience in dealing with data, statistics or programming is helpful but not mandatory. For the distance learning course, self-organisation, self-motivation and the willingness to work independently are particularly important. Experience in interdisciplinary teams – ideally in business-related or technical contexts – will facilitate your successful participation in the course.
What content does the Master’s programme Applied Business Data Science at ISM cover?
In the Master’s programme Applied Business Data Science at ISM, you acquire in-depth knowledge in statistics, data science and machine learning. The curriculum combines technical and business skills and prepares you for data-driven decision-making in companies. The core learning contents include:
- Statistics & Data Analysis: You learn methods of descriptive and inferential statistics as well as the interpretation and visualisation of complex data sets.
- Machine Learning & Artificial Intelligence: Focus on applied machine learning, development and implementation of forecasting and classification models as well as AI-based analytical methods.
- Big Data & Cloud Computing: You gain insights into the processing and analysis of large, heterogeneous data volumes using modern cloud technologies.
- Business Intelligence: Building, utilising and evaluating BI systems for strategic management and decision-making in companies.
- Programming: Application and further development of programming languages and analysis tools such as Python or R for data analysis in a business context.
- Practical Projects & Case Studies: Solving real-world issues through projects with partner companies as well as working on practice-relevant case studies.
- Workshop & Research Project: Deepening the acquired knowledge through workshops and an independent research project with direct practical relevance.
After completion, you can independently design, carry out data analyses and justify business decisions based on data. You master methods of predictive analytics and are capable of developing innovative data science solutions for specific business challenges.
How is the course structure arranged?
The degree programme is basically entirely organised online and offers you maximum flexibility. You can choose between three time models: full-time (4 semesters), part-time “fast” (6 semesters) or part-time “slow” (8 semesters). This allows you to perfectly adapt your studies to your professional and private life. The structure at a glance:
- Digital learning format: Access to all learning materials via the innovative online platform: including digital textbooks, video lectures, interactive exercises and podcasts.
- Modular structure: The programme is divided into compulsory and elective modules from the areas of statistics, machine learning, big data, cloud computing, business intelligence and data engineering.
- Interactive learning methods: Regular online seminars, live webinars, virtual workshops and knowledge checks to monitor learning progress.
- Practical transfer: Numerous case studies, practical projects as well as the option to complete the final project in cooperation with a company.
- Individual support: Personal study coaches and subject matter experts provide advisory support throughout the entire programme.
- Examinations: All examinations are taken online; you can flexibly choose exam dates and are location-independent.
- Flexible study extension: Should you exceed the standard period of study, you will be granted two additional semesters free of charge.
You can start your studies at any time. The degree awarded is the Master of Science, internationally and state-recognised. The entire distance learning programme is taught in English and accredited by the renowned AACSB.
What career prospects does the Master’s programme Applied Business Data Science offer?
With the degree Master of Science Applied Business Data Science, you qualify for demanding positions at the interface between data analysis and business management. Typical career paths and sectors include:
- Data Scientist: Development and implementation of analytical models in corporations, medium-sized enterprises or start-ups
- Data Analyst: Preparation and interpretation of company data for management decisions
- Business Intelligence Manager: Establishment and management of BI departments in companies from various sectors
- Machine Learning Engineer or AI Specialist: Implementation of intelligent systems and automation of business processes
- Consultant: Consulting in the areas of digitalisation, data science and digital transformation
Specialists in data analysis, machine learning and business intelligence are highly sought after across industries. With this Master’s degree, you are well prepared for leadership positions at home and abroad and can also qualify for an academic career or doctoral studies.
What costs and financing options should you expect?
The tuition fees vary depending on the time model:
- Full-time (4 semesters): €13,170 total costs (€520/month; one-off enrolment fee €690)
- Part-time fast (6 semesters): €14,010 total costs (€370/month; enrolment fee €690)
- Part-time slow (8 semesters): €15,090 total costs (€300/month; enrolment fee €690)
The fees include all learning materials, examinations as well as support and supervision. A free four-week trial period is possible, and you can extend your studies by two additional semesters free of charge if needed. Financing options such as instalment payment, education funds or tax deductibility as business expenses as well as individual support from employers are available. Personal advice on the topic of financing is offered.
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