Online Study Model Degree
Master of Science (M.Sc.)
60 or 120 ECTS credits
Language
English
Unlock the future of data-driven innovation with our online Master's in Data Science. Join a dynamic learning community, gain cutting-edge skills in machine learning, data analysis, and artificial intelligence and prepare for a successful career in an in-deman...
In today's digital age, data scientists play a vital role in shaping our media landscape and driving social discourse. Whether it's exciting use cases, technological breakthroughs, or spirited debates, staying updated can be challenging.
With the field's rapid growth, the demand for data scientists is soaring. Many organisations are witnessing an uptick in data literacy, leading to the rise of 'Citizen Data Scientists'—individuals who create advanced diagnostic analytics models alongside their primary roles. In this context, data science experte are pivotal in hypothesis development and data interpretation.
This online master's degree in Data Science is tailored to address current advancements in software, infrastructure engineering, and Big Data technology. You'll cultivate robust problem-solving skills and a methodical, logical approach to data science challenges.
If you're eager to embark on your data science journey from the ground up, check out our Bachelor of Data Science programme!
Here's what you can expect in your Master’s degree in Data Science:
The order of courses presented below is for the online studies model of this programme.
This programme includes an AI prompt engineering course, so you can learn how to use tools like ChatGPT best in your everyday life, work, and studies.
Master of Science (M.Sc.)
60 or 120 ECTS credits
Language
English
Accreditation
Accredited in line with German and European standards
ZFU 1109920
60 ECTS credits - English
ZFU 1110020
120 ECTS credits - English
Recognition
Your degree is Internationally recognised and can easily be transferred to another country
Study start
any time
Duration
12 - 48 months (depending on time model)
The admissions documents must be provided in English or German. If they were not issued in one of these two languages, a translation is required. If you need to translate your documents, we can help refer you to our trusted translation partners.
Depending on your previous education, the following entry options are applicable for the 60-ECTS credits Master’s degree:
Recognition of knowledge and abilities acquired outside of higher education is possible in principle.
To study the 60 ECTS credits programme, you will need to have taken courses "Programming with Python", "Advanced Mathematics", "Statistics - Probability and Descriptive Statistics" and "Introduction to Computer Science" or demonstrate equivalent knowledge. You can take these courses online with us for free.
To study the 120 ECTS credits programme, you will need to have taken courses "Statistics - Probability and Descriptive Statistics" and "Introduction to Computer Science" or demonstrate equivalent knowledge. You can take these courses online with us for free.
Apply for the online Degree Saver programme and receive a discount on your tuition fees.
Please get in touch with our Study Advisory Team for more details.
The online Master’s programme in Data Science will provide you with an entry point to various fields of work, such as engineering, or consulting. As a data science specialist, you’ll be able to take on challenging tasks in both the private and public sectors. Once you’ve successfully completed your degree, you could work as...
As a senior data scientist, you will typically be responsible for all aspects of transforming data into usable value, from designing technical infrastructure and building advanced learning models to improving data quality and evaluating forecasts. As a senior, you'll also mentor juniors, lead a team and drive key decision-making processes. You'll also champion innovative solutions and advise on research and development.
As a data science consultant, you will help companies and teams to achieve their goals in order to become a future-oriented company. Generally, you are responsible for identifying potential use cases, carrying out the initial project planning, and defining the relevant key figures and metrics to monitor success. As an expert, you are fit in dealing with new technologies and complex mathematical methods that enable you to establish completely new approaches.
As a data science developer, you are responsible for designing, building, and maintaining the data science infrastructure and cloud services. You develop and implement machine and deep learning models and ensure that all relevant data is accessible. In many cases, you will be in charge of evaluating and improving the quality of the data used in the project. As an expert, you also always have an eye on the big picture in order to set trends in the market.
These are examples of fields graduates of similar programmes work in. They are not a promise of employment or earnings.
Fees vary by programme and awarding body. Smart College offers interest-free monthly instalments, and merit-based partial scholarships of up to 30% for applicants who meet the criteria. An admissions adviser will confirm the exact fee and the eligibility conditions before you commit to anything.