Программа обучения "Web and Data Science" в University of Koblenz-Landau
Web and Data Science
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Университет
University of Koblenz-Landau
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Степень
Магистратура
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Специализация
Computer Science, Data Science
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Стоимость
0 € / Семестр
The international Master’s degree in Web and Data Science is the first of its kind in Germany and is aimed at prospective students who want to expand their scientific skills, sharpen their qualifications for management positions through profile building and advance their personal development after a successful Bachelor’s degree. p >
In addition to the expansion of specialist knowledge, the course therefore primarily promotes independence and the ability to make judgments and make decisions.
Общая Информация по Программе обучения "Web and Data Science"
- Уровень: Магистратура
- Диплом: Master of Science (M.Sc.)
- Язык обучения: Английский
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Начало обучения:
Зимний семестр
Летний семестр - Срок обучения: 4 семестров
- Форма обучения: Полная
- Стоимость: € 0 / Семестр
- Семестровый взнос: € 226.20 / семестр
- Правила приема: Без конкурса
- Минимальный уровень английского: B2
- Минимальный средний балл (нем): 2.5
Описание программы обучения "Web and Data Science"
The course focuses on computer science in order to impart basic knowledge about the technical structures of the web and its analysis as well as the analysis of its changes. This is supplemented by interdisciplinary content that enables students to understand people on the web, their actions and their interactions. The course is largely in English, some elective modules can also be taken in German.
Карьерные перспективы по завершению программы обучения "Web and Data Science"
Including and apart from academic research, the program has a strong focus on employability. Whether you are entering the job market, want to fulfil executive position, want to progress from your current position, or looking for a career change, t he course provides skills about how to:
- collect and use relevant data to influence business decisions
- develop Web systems, Web strategies and Web and data ecosystems
- provide substantial practice for strategic communication via data science
Employability
The Master Program in Web and Data Science has a strong focus on employability. This will prove useful whether you are entering the job market, want to fulfil executive position, want to progress from your current position, or looking for a career change. The course provides skills about how to:
- collect and use relevant data to influence business decisions
- develop Web systems, Web strategies and Web and data ecosystems
- provide insightful advice on strategic marketing
Besides technical aspects of the Web and Data, our interdisciplinary program teaches an integrated view and enables students to understand psychological, social, economic and political relations in the Web.
Job Sectors
Graduates of the program in Web and Data Science may pursue careers in the following sectors:
- Establishing new business areas or optimizing business processes.
- Being able to identify and analyze the right data and communicate the analytics back to the company in a targeted manner.
- Working on big data architectures, data mining and predictive analytics.
- Customer-oriented companies, mainly commercial enterprises, that are present within the Web. Nearly every large company addressing private customers offers online platforms to sell their products or services.
- Public Administration and Agencies run platforms in order to inform citizens or communicate with them (e.g. in the form of e-participation and e-voting).
- IT businesses such as search engine providers, consulting firms, social network providers and software developing firms need experts for the Web.
- The Web is an essential source of information. As a result, media corporations are present on the Web. They provide information services via Web apps and mobile applications.
- Academia: a Web and Data Science Master's degree qualifies you for starting a Ph.D.
Member from the institute WeST have found interesting positions at companies such as Google, Ernst & Young, Software AG or Bosch or started their own businesses, or have become senior researchers or professors at universities.
Professions
Web and Data Science graduates may take up the following professions:
- Data Scientist (e.g. as described in the job offers at Intuit in the Silicon Valley)
- Business Intelligence Analyst (BIA)
- Data Analytics Manager
- Database administrator
- Project manager
- Data Security Administrator
- IT Consultant
- Software Developer
- Entrepreneur (our university provides a support infrastructure for Entrepreneurs)
- Researcher (PhD, Postdoc, Professor)
Учебный план программы обучения "Web and Data Science"
The objective of the curriculum is to achieve a foundational understanding of Web and data-intensive systems and how they relate to techno-sociological interactions. For this purpose, the program broadens and deepens competencies in designing and developing Web and data-intensive systems and the automated analysis of Web data (content, links, and usage). Further, it focuses on the interaction of Web and data-intensive systems with legal constraints (e.g. digital rights), group processes (e.g. social network analysis), economic behaviour (e.g. marketing and online consumer behaviour) and political processes in the Web (eParticipation, democracy in a digital society). The course of studies nurtures the skill of formulating problems and to undertake the resulting tasks in working teams, which are qualifications beyond the scope of studies. We guide graduates to perform duties independently and take on challenging tasks related to analysing data, generating a data narrative, developing an interactive Web presence, and developing a Web and/or data strategy for companies and governments seeking to address the needs of customers, end users, and citizens. Our curriculum strives to produce graduates who have:
- comprehensively internalised the concepts and competencies acquired with their studies. Beyond meeting the educational goals of their Bachelor studies for study-specific as well as general competencies, they have acquired an increased maturity and confidence in applying these concepts and competencies also to novel problem domains.
- deep knowledge about data analysis and visualization, the development of Web systems, Web strategies and the development of the Web and data ecosystems.
- acquired a profound and broad understanding of working with future technologies in their own field and beyond.
- successfully applied the acquired knowledge of Data Science and Web Science for the formulation and solution of complex problems, and are ready to continue in research and development for the public sector, ICT or research institutions, by critically questioning the acquired knowledge and develop it further, if required.
- gained various technical and social skills, such as the capacity to reason abstractly, systems thinking, ability to communicate and work in teams, and international and intercultural experience that prepare them for managerial/executive functions.
- become familiar with academic work in fundamental research and fulfil the prerequisites for progressing on to a doctorate in their area of specialisation.
http://unipedia.uni-koblenz.de/index.php?title=En%3AMaster_Web_Science
Факультет
Faculty of Computer Science
University of Koblenz-LandauThe faculty of Computer Science and its six institutes cover a broad range of Core Informatics and Applied Informatics. Special fields in Economics and Information Management complement these areas.
This broad scope in research and teaching offers students attractive options. It positions the faculty within a high-ranking international research field, and it provides manifold links for knowledge transfer with industry and society.
Требования к поступающим на программу обучения "Web and Data Science"
You must fulfil several requirements in order to qualify for our Web Science programme. Please read this information carefully before applying or sending e-mails.
Higher Education Entrance Qualification
It is a legal requirement in Germany that students own a Higher education entrance qualification („Hochschulzugangsberechtigung“) respectively a Master entrance qualification („Masterzugangsberechtigung“), proven by school leaving certificates or studies completed at secondary education level.
Entrance qualification is not checked by us, but uni-assist (see application process), therefore please refrain from asking us if your diploma will be accepted. Uni-assist provides some further information on higher education entrance qualification.
Academic Background in Computer Science
You need some academic background in computer science, such as a
- bachelor's degree in computer science, business informatics, Computervisualistik (as offered by the University of Koblenz-Landau), Information management (as offered by the University of Koblenz-Landau until 2012 if 60 ECTS in computer science were acquired) or similar.
- Students with a minor in computer science (at least 60 European Credit Points) can apply, too. Here we have to make a decision on a by-case-basis. To get an educated guess please contact the course guidance.
Only diplomas of international accredited universities will be accepted. Non-academic, practical experience in computer science alone does not qualify you for our programme.
Grades
The German grading system ranges from 1 ("very good") to 6 ("insufficient"). Lower numbers mean better grades.
- To be eligible for our programme, the grades from your previous studies must be between 1 and 2.5.
- For a non-binding estimation on your eligibility you might want to check our grade converter.
Final grade conversion into the German system is done by uni-assist (cf. application procedure, so we cannot tell you bindingly if your GPA is sufficient.
English Language Proficiency
The medium of instruction for all required courses is English, some additional electives can be taken in German. Thus, we require international students a certain level of English proficiency such that studies can be undertaken successfully. Thus, a standardised language certificate is required – proof that your previous studies were held in English are not sufficient and not negiotiable. We accept three types of language proficiency certificates:
- a TOEFL result of at least 79 (internet based), 550 (paper based) or 213 (computer based)
- IELTS test with 6.5 points mininum
- Cambridge certificate at level B2 or higher (find an exam center)
IELTS 6.0 mapped to CEFR "B2" is not sufficient however. Proficiency of German language is not a requirement for application. However, additional elective courses are available in German, and we recommend to learn some basic German for daily life. Some hints on learning German can be found at Deutsche Welle.
Motivational Letter
Applicants need to supply a motivational letter. Please do not send lenghty standard letters describing your general interest in computer science and your appreciation of the German education system. Instead, refer only to our specific programme and follow these guidelines:
- Length should be between 150 and 300 words.
- The letter must be written in English.
- Specify what you learnt and found particularly interesting in your previous studies or practical experiences. Tell us how you want to deepen these previous experience in our master's programme. You can also describe what you expect to learn here for your future job. You should always refer to our curriculum, especially the module groups Foundations of Web Science, Major Subject Computer Science und Major Subject Web and Society. Make clear that you know our curriculum and point out why you have chosen our programme above others.
Полезные ссылки по программе обучения "Web and Data Science"
- Сайт программы: https://www.uni-koblenz-landau.de/de/studium/vor-dem-studium/studienangebot/mit-abschluss/master/web-science/ma-web-science
- Брошюра / инфо-материалы: https://west.uni-koblenz.de/studying/mws
- Учебный план / модули: https://west.uni-koblenz.de/de/studying/mwds/curriculum<br />http://unipedia.uni-koblenz.de/index.php?title=En%3AMaster_Web_Science
Записаться на поступление на программу обучения
Web and Data Science