Master's Degree in Big Data in Berlin in Germany

Find Masters Programs in Big Data 2017 in Berlin in Germany

Big Data

A masters refers to the completion of a graduate study program that prepares students to further their knowledge of a specific subject or advance their careers. The majority of masters are granted by state or public universities.

A student who does well in advanced mathematics and computer science may choose to study big data. This field deals with large data sets that must be analyzed as a unit instead of as individual points. There are applications for both the public and private sectors.

Germany is a great destination for international scholarsand has a high quality higher education system. The value of this level of education has been improved by the Germany's strong economy. Foreign students enjoy excellent living standards in a secure and safe surroundings. Berlin is the capital.

Berlin is a region that has the status of both a city and a state. It is the capital and the largest city in Germany and home to more than 3 million residents. This is a German city that is home to renowned educational establishments of higher learning.

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International Master in Project Management & Data Science

HTW Berlin University Of Applied Sciences
Campus Full time 4 semesters October 2017 Germany Berlin

In the world's corporate environment it is highly important to be familiar with the international context and have a better understanding of it. The Master’s degree programme in Project Management and Data Science at HTW Berlin will help you to successfully manage and supervise projects in the international environment as well as facilitate, process and interpret extensive datasets and carry out analyses across different disciplines. [+]

Masters in Big Data in Berlin in Germany. Innovation and Diversity HTW Berlin, the largest University of Applied Sciences in Berlin, is defined by its future-oriented range of programmes and courses, consistently covering areas of current interest as well as those with longer term appeal. Increasing quantities of data are being generated across numerous industries and service provision areas and the international Project Management & Data Science Master’s Programme was developed in order to tackle the shortage of qualified staff in this area. Data related to customers, markets and competitors is extremely important in today’s commercial landscape. Sensitive and responsible handling of data is an important success factor for all manner of companies. “Big Data” – the intelligent management of large and simultaneously heterogeneous data – is one of the biggest commercial challenges of our times. The processing and analysis of this volume of data also generates extremely far-reaching findings. In the fight against cancer, for instance, Molecular Medicine uses vast quantities of data to develop individual treatments and therapies. Many firms have identified the lack in project handling and business analytics skills. They invest billions of dollars in training for employees in the areas of Project Management and Data Analytics. With quintillion bytes of data being generated every day, qualified managers are required who can appropriately assess this data and use it for managing projects in an industry and company-specific way. The combination of Project Management and Data Science studies therefore represents a comprehensive and in-demand academic qualification. It opens up a diverse range of commercial, creative and organizational opportunities and career paths. Graduates of the Master’s Programme Project Management and Data Science will possess a broad range of techniques and methodologies which are of huge interest to businesses today. Their extensive knowledge will equip them with the skills to increase efficiency and reduce costs in complex business processes. The Master of Science qualification offers graduates a wide range of potential areas of application as well as opportunities for career advancement. International context In the world's corporate environment it is highly important to be familiar with the international context and have a better understanding of it. The Master’s degree programme in Project Management and Data Science at HTW Berlin will help you to successfully manage and supervise projects in the international environment as well as facilitate, process and interpret extensive datasets and carry out analyses across different disciplines. Ideally prepared for a successful career This specialisation is based on our survey of major German industrial companies, which revealed a strong demand for internationally oriented project management specialists and data scientists. During this program you will acquire international skills by working together with students of different nationalities and background. Since the programme is taught entirely in English, you will also be ideally prepared for the international labour market. Language skills in German are not necessary. International and practice-oriented During your studies you will acquire knowledge of business administration with an international basis. The curriculum focuses on different areas of project and Information Management, various Data Analysis techniques as well as HR and Marketing. Deep knowledge of statistics is not required. Excellent Career Prospects Project Management & Data Science M.Sc. The rapid increase in data generation is resulting in a huge demand for Big Data specialists – specialists who possess the skills to efficiently and effectively organize the growing volume of information. In today’s workforce, there is already a lack of several hundred thousand managers qualified to tackle complex and interrelated managerial tasks. Standard period of study 4 semesters / incl. last semester thesis / 2 years: Master of Science (M.Sc.) First semester: International Project Management I, Foundations of Data Analytics and Statistical Programming, Contract and International Business Law, elective: Group Facilitation, Technology Management in Practice or Negotiation Techniques Second semester: International Project Management II, Advanced Computational Data Analytics, Change Management and Leadership, Financial Reporting and Management Information Systems Third semester: Project Management and Data Analytics Lab, Advanced Data Mining Techniques, Databases and Big Data, Practical Data Governance, Data Security and Regulatory Compliance, elective: Group Facilitation, Technology Management in Practice or Negotiation Techniques Fourth semester: Thesis and oral exam All modules are planned and structured in an extremely practice‐oriented manner. Cooperations with world leading companies are included. The modules involve working through specific questions during case‐studies and project simulations. Human resource, soft skills, intercultural topics and trainings, in particular, are covered. Other programmes at the HTW See also our international Industrial Engineering programme, Master of Business Administration & Engineering here. [-]

Master in Data Science (DSC)

EIT Digital Master School
Campus Full time 2 years September 2017 Germany Berlin

Data abounds: social media, manufacturing systems, medical devices, logistic services, and countless others generate petabytes of data on a daily basis. With a wealth of data available, we are at a point in history, where we can conduct analyses to detect, discover, and, ultimately, better understand the world around us. [+]

Why study Data Science? Data abounds: social media, manufacturing systems, medical devices, logistic services, and countless others generate petabytes of data on a daily basis. With a wealth of data available, we are at a point in history, where we can conduct analyses to detect, discover, and, ultimately, better understand the world around us. What are the carier opportunities for Data Science graduates? Become a professional for a career in a highly innovative area: data science. The profession in Data Science is hailed as the “… Sexiest Job of the 21st Century,” by Harvard Business Review in October 2012. The Data Scientist is a professional who simultaneously possesses breadth and depth in scalable data management, data analysis, and domain area expertise, and who is capable of solving real-world problems. This is an opportune time to pursue training in both a challenging and rewarding new field. Join us and embark on a journey of a lifetime! Why Data Science at EIT Digital? Getting value, meaning and answering big questions, are the ultimate goals of Learning Data Science at EIT Digital. Mazen Aly Data Science Master student Eindhoven University of Technology Study Data Science at EIT Digital, where education is provided by renowned universities and where entrepreneurial data scientists of the future are come to being! Farideh Heidari Data Science Coordinator What is Data Science Master at EIT Digital all about? The newly established Data Science Master’s offers a unique academic programme, whereby students can study data science, innovation, and entrepreneurship at leading European universities. In this programme, students will learn about scalable data collection techniques, data analysis methods, and a suite of tools and technologies that address data capture, processing, storage, transfer, analysis, and visualization, and related concepts (e.g., data access, pricing data, and data privacy). How is the programme structured? The first year will be similar at all three DSc entry point universities: Universidad Politecnica de Madrid (UPM), Eindhoven University of Technology (TU/e), and Universite Nice Sophia Antipolis (UNS) with foundations courses, such as data handling, data analysis, advanced data analysis and data management, visualization, and applications. The second year will enable students to concentrate one of six technical specialisation areas of their own choosing. See: specialisations below. An important part of the programme are the Innovation and Entrepreneurship (I&E) courses. The I&E basics course provides an introduction to business & management. Students participating in the DSc track are offered an internship with an industry partner or research centre of the EIT Digital to work on their thesis project. Directly linked to the master thesis is the I&E minor thesis that specifies the requirements, strategy and business plan for the selected thesis project. Students participating in the DSc track are offered an internship with an industry partner or research centre of the EIT-Digital to work on their thesis project. Directly linked to the master thesis is the I&E minor thesis that specifies the requirements, strategy and business plan for the selected thesis project. Where can I study if I choose Data Science? Entry - 1st year Eindhoven University of Technology (TU/e) Universidad Politecnica de Madrid (UPM) Universite Nice Sophia Antipolis (UNS) Exit - 2nd year, specialisation Internet of Things (IoT) at UPM Multimedia and Web Science for Big Data at UNS Process Mining at High Tech Systems, Healthcare, Visual Analytics or Big software at TU/e Distributed Systems and Data Mining for Really Big Data at KTH Design, Implementation, and Usage of Data Science Instruments at TUB Specific Admission Requirements A B.Sc. degree in electrical engineering/ electronics, computer engineering, computer science or information technology is required. The studies should include at least 60 ECTS courses in computer science, computer architecture, or programming, and mathematics including calculus, algebra and mathematical statistics. [-]