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University of Europe for Applied Sciences

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Berlin

Germany

The Master of Science in Data Science at the University of Europe for Applied Sciences in Berlin is designed to equip students with the essential skills and knowledge needed to excel in the rapidly evolving field of data science and business intelligence. This program not only focuses on the technical aspects of data analysis and machine learning but also emphasizes the application of these technologies in real-world business scenarios. With a duration of 18 months, students will have ample opportunity to engage with hands-on projects, collaborate with peers, and learn from experienced faculty members, all while benefiting from the dynamic environment of Berlin, a hub for technology and innovation.

The curriculum is meticulously crafted to ensure that graduates emerge as well-rounded professionals ready to tackle complex data challenges. Core subjects such as Applied Statistics, Database Systems and Data Preparation, and Practical Machine Learning form the foundation of the program, allowing students to develop a robust understanding of data manipulation, analysis, and interpretation. Alongside these core subjects, students will delve into specialized courses that cover advanced topics such as Artificial Intelligence, Big Data, and Data Visualization, further enhancing their expertise in the field.

One of the standout features of this program is the extensive research opportunities and resources available to students. The university fosters a strong culture of research, encouraging students to engage in projects that not only enrich their learning experience but also contribute to the wider academic community. Students will have access to state-of-the-art laboratories and tools, enabling them to conduct innovative research that can lead to groundbreaking advancements in data science.

The faculty at the University of Europe for Applied Sciences is composed of industry professionals and seasoned academics, ensuring that students benefit from a wealth of knowledge and experience. The teaching methodology is both practical and theoretical, striking a balance that prepares students for the demands of the data science industry. Faculty members incorporate real-world case studies into their teaching, allowing students to see the direct application of their learning and to develop the critical thinking skills necessary for success in their future careers.

Moreover, the university emphasizes strong industry connections, providing students with numerous opportunities for internships and networking. These connections not only help students gain valuable hands-on experience but also open doors to potential job placements upon graduation. The university's location in Berlin, a city teeming with tech startups and established corporations, enhances students' chances of building a successful career in data science. Graduates of this program have gone on to secure positions as Data Scientists, Data Engineers, Business Intelligence Analysts, and many other roles across various sectors, including finance, healthcare, and technology.

Why Study Data Science at University of Europe for Applied Sciences?

  • Comprehensive curriculum that covers both foundational and advanced topics in data science.
  • Experienced faculty with industry experience, providing students with valuable insights and mentorship.
  • Access to cutting-edge research facilities and laboratories to support hands-on learning.
  • Strong emphasis on internships and industry networking to facilitate career advancement.
  • Diverse student body, promoting a rich cultural exchange and collaborative learning environment.
  • Robust alumni network that offers support and connections in the job market.

To apply for the Master of Science in Data Science, prospective students should meet specific eligibility requirements, which include a recognized undergraduate degree and proficiency in English, demonstrated by scores from standardized tests such as IELTS (minimum score of 5.5). Additionally, candidates are required to submit a transcript, a resume, and an academic letter of recommendation as part of their application package.

In terms of career pathways, graduates of this program can look forward to a range of exciting opportunities. The demand for data professionals continues to grow across multiple sectors, with roles such as Statistician, Information Security Analyst, Machine Learning Engineer, and Cloud Architect being highly sought after. The average base salary for graduates is around €60,000, with the potential for growth as they gain experience in the field.

Alumni of the program have found success in prestigious companies and organizations, often attributing their achievements to the comprehensive education and practical experience gained during their studies at the University of Europe for Applied Sciences. Testimonials from former students highlight the collaborative learning environment, supportive faculty, and the valuable industry connections that have significantly impacted their career trajectories.

In conclusion, the Master of Science in Data Science at the University of Europe for Applied Sciences stands out as a premier program for aspiring data professionals. With a strong curriculum, dedicated faculty, and a wealth of research and internship opportunities, graduates are well-prepared to make meaningful contributions to the field of data science and achieve their career goals. This program not only offers the technical knowledge required for success but also emphasizes the importance of practical experience, making it an ideal choice for those looking to advance their careers in this exciting and ever-evolving domain.

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Duration

18 Months

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Median Salary

$55,000

Class Profile

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Class Size

25

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Average Age

24

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Average Work Experience

1 Years

Diversity

Others:

1%

North America:

10%

South America:

5%

Asia:

15%

Oceania:

2%

Africa:

3%

Europe:

65%

Career Outcomes

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Median Earnings After Graduation

$55,000 / year

Prospective Job Roles

Statistician

Information Security Analyst

Data Engineer

Software Engineer

Research Scientist

Data Visualization Specialist

Product Manager

Machine Learning Engineer

Marketing Analyst

Business Intelligence Analyst

Database Administrator

Data Analyst

Quantitative Analyst

Data Scientist

Cloud Architect

Big Data Engineer

DevOps Engineer

Sales Analyst

Top recruiters

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Eligibility Criteria

English Proficiency Tests

  • IELTS

    5.5

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Application Requirements

Here's everything you need to know to ensure a complete and competitive application—covering the key documents and criteria for a successful submission.

  • intake

    Transcript

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    Academic LOR

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    Resume

Application Deadlines

Fees and Funding

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Tuition Fees

$13,188 / year

Funding Options

External Sources - Scholarships

Department Funding

To apply, submit a complete application for admission within a few weeks of the priority deadline for best results.

Scholarships

The University of Europe for Applied Sciences offers a variety of scholarships for students pursuing a Master of Science in Data Science. These scholarships are based on academic merit, financial need, and other criteria. The university also offers a number of scholarships from external organizations, such as the National Science Foundation and the Bill and Melinda Gates Foundation.
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    SAS

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    Google

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    IBM

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    Amazon

FAQs

  • The application fee to pursue Data Science at University of Europe for Applied Sciences is EUR 50 for international students.

  • The annual tuition fee to pursue Data Science at University of Europe for Applied Sciences is EUR 13188.

  • The submission of these scores mainly depends on the type of degree/ course selected at the University of Europe for Applied Sciences. For example, the GMAT test is required to take admission to an abroad graduate management program, the LSAT is required during an abroad Law School admission process, and more. Therefore, check University of Europe for Applied Sciences requirements before submitting a score.

  • Data Science can help Indian/ international students gain: 1. Quality and Practical Education 2. Global Recognition 3. International Exposure 4. Amazing Job Opportunities 5. Experience of Lifetime and more

  • If a student fulfils all the eligibility criteria and admission requirements of University of Europe for Applied Sciences, they can easily pursue Data Science. The basic eligibility criteria include the following: 1. A GPA above 3 2. Well-written Statement of Purpose 3. An impressive Letter of Recommendation 4. A Work Experience Certificate (if required) 5. A Statement of Financial Proof 6. Academic Transcripts 7. Valid Visa, etc.

  • An MS degree at University of Europe for Applied Sciences can usually be completed in 2 years. However, many universities offer a 1-year master’s specialisation as well. You can explore the official University of Europe for Applied Sciences website to check the course/ degree duration.

  • One can apply for scholarships to pursue their international education at University of Europe for Applied Sciences by: 1. Looking for country-specific scholarships by contacting the specific scholarship institutions. 2. Applying to or finding out if any subject-specific scholarships are available from the university website/ department.

  • A student can complete Data Science at University of Europe for Applied Sciences with in 18.

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