M.Sc. Data Science

Program Overview

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M.Sc. Data Science

Data Unveiled, Insights Unleashed

New waves of innovations surrounding analytic services have had a significant impact on business and technology in recent years. In this master’s in data science programme, you will gain in-demand data science skills across all industries in today’s job market. The practical application of data analytics for business decisions and the emergence of new business areas via data and digitisation is another core focus during the data science master’s degree. During the interdisciplinary electives, you can tailor your studies to suit your career goals by selecting modules from the programme’s vast portfolio of game design, UX/UI design or digital media communication. A contemporary leadership and culture module prepares you for leadership in the future.

Data Science Curriculum

The MSc Data Science curriculum at the University of Europe for Applied Sciences gives students the choice between two, three or four semesters in which they will learn in-demand data science skills in today’s job market. From Data Analytics and Data Engineering to Cloud Computing and a Thesis in the final semester, students have the opportunity to explore a wide range of skills and gain a broad knowledge in the field by choosing to study data science at UE

• Curriculum MSc Data Science (120 ECTS)
• Curriculum MSc Data Science (90 ECTS)
• Curriculum MSc Data Science (60 ECTS)

Key Facts about Data Science

Our Locations

Find out everything about our locations in UE Innovation Hub & Dubai!

• Not on site? Then discover your future study location easily with the Virtual Campus Tour.

Fees

• EU applicants standard: From € 854 monthly
• Non-EU applicants standard: From € 12,000 yearly
• Dubai applicants:
  • AED 77,060 (1.5 Years)
  • AED 100,800 (2 Years)

Admission Requirements

Here are some things you will require for your application at the UE:

• Completed admission form
• CV & Copy of passport
• Completion of a Bachelor’s degree
• Good English language skills (at least B2)
• Basics in Statistics (at least 3 ECTS or a pre-master course at UE)
• A portfolio is not required

Semesters & Credits

• 120, 90 or 60 ECTS. Dubai options – 90 & 120 ECTS
• Master of Science MSc
• Teaching language: English
• The programme starts in both the winter (September) and summer (March) term each year
• Classes are typically scheduled between Wednesdays & Saturdays

Study and Examination Regulations

If you have any further questions, you may find the answers in the frequently asked questions section.

Spotlight Module "Data Engineering"

In this module, students will delve into the particulars of designing and implementing robust data pipelines and data engineering infrastructures. They will explore advanced data modeling and data storage techniques, gaining a comprehensive understanding of data warehouses and alternative solutions. Students will learn to design, implement, and manage efficient data pipelines, understand and apply Extract, Transform, Load (ETL) processes to streamline data integration, and develop skills to test and ensure the quality and integrity of data. Additionally, they will discover effective strategies for implementing data engineering infrastructures and discuss common pitfalls and best practices to ensure data security and availability. By the end of this module, students will be equipped with the knowledge and practical skills to tackle complex data engineering challenges, making them valuable assets in the field of Data Science.

What Happens After Your Studies?

After your studies, you will not only be an expert in business issues, but above all you will have the best qualifications and thus be decisive for the success of projects in various industries and organisations.

• Expected Salary: €60,000 to €300,000 annually depending on the experience, industry etc.
• Career Opportunities: Data Scientist, Data Analyst, Big Data Engineer & Data Consultant
• Skills: Data Preprocessing, Problem-Solving, Ethics and Privacy, Statistical Analysis & more

UE Campus in Potsdam and Dubai

It is important to pursue a data science degree in a place that will inspire you to take your career to the next level. Choosing to study data science in Germany is a great option, as in Potsdam, near the capital city of Berlin, there are many employment opportunities for those pursuing a master’s in data science in Germany. Another great option is studying a data science course in Dubai. Our campus in Dubai gives students a surreal experience and will push them to reach their potential while surrounded by success and innovation.

UE Master's Reform

More flexible, more interdisciplinary, and more practice-oriented – the new Master’s programmes make the University of Europe for Applied Sciences (UE) even more attractive! Students of selected MA programmes at UE have the choice of a Master’s degree in 60, 90, or 120 ECTS which gives them full flexibility. Students can apply for one of the three options depending on the education they’ve already achieved and how many ECTS they’ve already accumulated in their previous Bachelor’s (or Master’s) courses. Practical experience will also be taken under consideration.

Cooperation Partners

Gain access to internships and real-life business projects in a range of leading companies. Our dedicated career experts will help you develop your presentation and interview skills to boost your career.

• Science & Tech
• Innovation hubs
• Fintech incubators
• Multinational corporations
• German-based SMEs
• Global market leaders

Learn from our Experts

Here you will find further valuable information about our professors and their career.

Prof. Dr. Iris Lorscheid

Dr. Iris Lorscheid is the Vice-Rector of Research, Programme Leader Business Informatics & Data Science at UE Germany, Hamburg campus.

Program Outline

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Degree Overview:

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Overview:

The Master of Science in Data Science program at the University of Europe for Applied Sciences (UE) is designed to equip students with the necessary skills and knowledge to succeed in the rapidly growing field of data science.

• To develop students' ability to collect, analyze, and interpret large datasets.
• To enable students to apply data science techniques to solve real-world problems.
• To prepare students for careers in data science, data analysis, and related fields.

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Description:

The Data Science program offers three different tracks: a 120 ECTS track, a 90 ECTS track, and a 60 ECTS track. The 120 ECTS track is the most comprehensive, providing students with a thorough foundation in data science. The 90 ECTS track is designed for students who already have some background in data science or a related field. The 60 ECTS track is the shortest and most flexible, ideal for students who want to gain a basic understanding of data science. The program is taught by experienced faculty with expertise in data science, computer science, statistics, and business. The curriculum includes a mix of theoretical and practical coursework, with a strong emphasis on hands-on learning. Students will gain experience working with real-world datasets and using industry-standard software tools.

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Other:

• The program is offered in English.
• The program starts in both the winter (September) and summer (March) terms each year.
• Students can choose to study on campus in Berlin, Hamburg, or Iserlohn, or online.

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Outline:

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Content:

The Data Science program covers a wide range of topics, including:

• Data collection and cleaning
• Data analysis and visualization
• Statistical modeling
• Machine learning
• Deep learning
• Data ethics and privacy
• Business intelligence
• Big data
• Data warehousing
• Cloud computing

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Structure:

The program is divided into modules, with each module focusing on a specific topic.

• Statistical Modeling: This module covers the basics of statistical modeling, including regression analysis, classification, and time series analysis.
• Machine Learning: This module covers the fundamentals of machine learning, including supervised learning, unsupervised learning, and deep learning.
• Deep Learning: This module covers the advanced topics in deep learning, including convolutional neural networks, recurrent neural networks, and generative models.

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Other:

• In addition to the modules listed above, the Data Science program also includes a capstone project.
• The capstone project is a real-world project that allows students to apply the skills and knowledge they have learned in the program.

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Assessment:

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Assessment Methods:

The Data Science program uses a variety of assessment methods, including:

• Exams
• Assignments
• Projects
• Presentations

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Assessment Criteria:

The assessment criteria for the Data Science program are based on the learning outcomes of the program. The learning outcomes are the specific skills and knowledge that students are expected to acquire by the end of the program.

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Other:

• The specific assessment methods and criteria for each module may vary.
• Students are expected to maintain a high level of academic performance throughout the program.

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Teaching:

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Teaching Methods:

The Data Science program uses a variety of teaching methods, including:

• Lectures
• Seminars
• Workshops
• Tutorials
• Online learning

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Faculty:

The Data Science program is taught by experienced faculty with expertise in data science, computer science, statistics, and business.

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Unique Approaches:

The Data Science program uses a number of unique approaches to teaching, including:

• A focus on hands-on learning
• The use of real-world case studies
• An emphasis on interdisciplinary collaboration
• A strong industry partnership network

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Other:

• The Data Science program is constantly evolving to keep up with the latest advancements in data science.
• The program provides students with access to the latest data science software and tools.

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Careers:

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Potential Career Paths:

The Data Science program prepares students for a variety of career paths in data science, data analysis, and related fields. Some potential career paths include:

• Data Scientist
• Data Analyst
• Business Intelligence Analyst
• Big Data Engineer
• Machine Learning Engineer
• Data Architect
• Data Consultant

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Career Opportunities:

The Data Science program provides students with the skills and knowledge they need to succeed in the job market. The program has a strong track record of placing graduates in top companies around the world.

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Career Outcomes:

Graduates of the Data Science program typically earn high salaries and have excellent career prospects. According to Glassdoor, the average salary for a Data Scientist in the United States is $116,000 per year.

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Other:

• The Data Science program provides students with career services, including resume review, interview preparation, and job search assistance.
• The program also hosts career fairs and networking events.

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EU applicants standard: € 820 monthly Non-EU applicants standard: € 10,938 yearly Dubai applicants: AED 73,500 (1.5 Years)AED 91,875 (2 Years)