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Data Science, What Is It?
We’ve all heard the buzz by now, the new skills in demand by Silicon Valley’s finest down to your very own local tech start-up. This buzz is about Data Science. A continuously developing field of science which deals with the application of modern analytical techniques and scientific theories to attain beneficial information from raw, unintelligible data. This valuable information is then used in planning and strategizing so that past failures are avoided and amended. Unsurprisingly, more and more businesses are bringing data scientists on board to acquire insights that lead to operational efficiency, new ventures and an over-all boost against competition.
Why Is Data Science Taking Over?
The rising demand for Data Scientists is no wonder with its influence on all business areas. For example, data science can be applied to obtain information on consumers to level marketing campaigns, to avoid financial loss and to prevent asset disfunction. In terms of operation-based benefits, Data science can ascertain the optimizations of supply chains, logistics, inventory management and much more. As a whole, data science allows businesses and organizations to make informed decisions with a numerical elimination of negative outcomes and analysis-backed percentage of success.
Some of the common disciplines covered in Data Science include data mining, machine-learning, programming and forecasting. The jobs that fall into this category are often carried out by data scientists with the support of business and data analysts.
Now that we’ve established the areas that would likely be covered in a Data Science study program, it’s time to move on to the main topic at hand: studying Data Science.
Confused About Your Options? Don’t Worry
Have you found yourself in a position where you want to study Data Science, despite not having a background in Computer Science? Well, you’re not alone. All of us have found ourselves wanting to switch careers and hop on a more high-yielding train. So if the answer is yes, then look no further because I’m writing this for you.
Many individuals have found themselves in this crossroads of changing careers, especially after their undergraduate studies. Do not despair though, because there are plenty of programs that do not require a bachelor’s in Computer Science as a prerequisite.
More so, there are tuition-free universities in Germany that are free of such burdensome criteria!
Below are top 5 tuition-free universities in Germany offering Data Science graduate programs for beginners in the field of Computer and Data Science:
TOP 5 TUITION FREE DATA SCIENCE PROGRAMS IN GERMANY:
- University of Gottingen (MSc in Applied Data Science)
The University of Gottingen is recognized worldwide as a research-based institution, founded in 1737. Along with the many other faculties covered by this great institution, Data Science is also one of them.
In terms of study, the University of Gottingen is accessible and convenient to international students due to their programs also targeting foreign applicants with the establishment of primarily English-based programs and courses.
To be able to apply, the academic criteria that needs to be met through your undergraduate transcript includes a minimum of 6 courses in either subject areas of mathematics, statistics, computer science or any other related field (such as economics, physics, etc.)
- Trier University (MSc in Data Science)
Trier university is an internationally oriented university with over 13,000 students located at the heart of Europe. It is considered to be one of the most beautiful campuses in Germany known for being green and environmentally-friendly.
Trier university is very welcoming of international students and specifically offers programs accessible to those who are fluent in the English language.
In order to meet the criteria for their Data Science program, an applicant must have an undergraduate degree in Mathematics (Business Mathematics also acceptable) or Economics if not Computer Science.
- Martin Luther University Halle-Wittenberg (MSc in Data Science & Policy)
Martin Luther University Halle-Wittenberg is the biggest university in the Saxony-Anhalt state with a future and modern-centered approach to studies and research.
Also affiliated with Erasmus Mundus and offering English courses, Martin Luther University Halle-berg is another suitable choice with the lowest expenses for students despite offering developed and large research centers in the university and around the city. This is also heavily due to the low rent costs.
To meet the basic requirements for the Data Science & Policy graduate program offered by this university, you should have done 8-10 courses related to Economics and/or Business during your bachelor’s degree. Anyone who has done BBA can easily meet these requirements as well!
- Technical University of Munich (MSc in Mathematics in Data Science)
One of the best universities in Europe, Technical University Munchen, is well known for its education and talent development. Not only that, but it is situated in the city of Germany Munich which is inhabited by a number of international expatriates and tourists.
This university also has strong alliance with other companies and organizations, smoothing the process of being a student, to becoming a graduate, to a job hopeful and finally an employee.
The admission requirement in terms of academic background for the University of Munich is an undergraduate degree in either Mathematics, Computer Science or any other comparable field (e.g. economics, statistics, etc.).
- Leuphana University Luneburg (MSc Management & Data Science)
Located in Saxony, Leuphana University Luneburg is a research-centered business school making it a perfect choice for those interested in a more specific data science degree in the area of business. This institute is a great choice for those interested in Business Analytics as well, as this program would be the perfect choice.
The Management & Data Science program will be taught in English and is part of some of the international programs taught by this university.
Anyone who has taken 8-10 courses from any one or more of these disciplines i.e. Liberal Arts, Humanities, Natural Sciences, or Social Sciences is eligible for this program!
We all worry and have concerns when contemplating a huge career change, but with the world changing as much as it is lately, we must be quick to adapt. It is truly never too late to change your life direction. Take the appropriate research steps and apply for the summer or winter programs available.
If you’re still stuck on deciding whether a career in Data Science is for you, or you would like to have more options to consider in the field of Data Science, then give Edvise Hub a call today for a free consultation and career counselling.
