Masters in Big Data in Sweden

Compare Masters Programs in Big Data in Sweden 2017

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.

Sweden (Sverige) is the largest of the Nordic countries, with a population of about 9.5 million. It borders Norway and Finland and is connected to Denmark via the bridge of Öresund (Öresundsbron). Sweden has a strong tradition of being an open, yet discreet country.

Top Master Programs in Big Data in Sweden 2017

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Master in Data Science (DSC)

EIT Digital Master School
Campus Full time 2 years September 2017 Sweden Stockholm

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. [+]

Best Masters in Big Data in Sweden 2017. 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. [-]

Master's Programme in Molecular Techniques in Life Science

Karolinska Institutet
Campus Full time 2 years August 2017 Sweden Stockholm

The programme is a unique collaboration between Karolinska Institutet, KTH Royal Institute of Technology and Stockholm University, in the environment of Science for Life Laboratory, Stockholm. [+]

The programme is a unique collaboration between Karolinska Institutet, KTH Royal Institute of Technology and Stockholm University, in the environment of Science for Life Laboratory, Stockholm. The students will receive a comprehensive education in life science emphasising cutting-edge methods in bioinformatic analysis of big data, combined with state-of-the-art techniques used in modern "high throughput" molecular biology and how to translate biological findings into diagnostic tools and novel treatments. Programme presentation This two-year Master’s programme is delivered by a team of teachers who are internationally recognised researchers in their respective disciplines to ensure a relevant curriculum at the research forefront. The programme consists of courses aiming to give a solid education in a combination of molecular biology, biotechnology and medicine with a focus on high-throughput biology and analysis of big data for translation of biological findings from lab bench to patient bedside. The education also aims to develop skills and abilities essential to the professional career –including oral and written presentation, team working skills, and how to make ethical and societal considerations about life science related issues, all of which important for the ability to lead projects in academy and industry. Courses - Master’s programme in Molecular Techniques in Life Science *might be subject to changes Year 1 The first year contains advanced level courses in genetics, biophysical chemistry, and translational medicine, as well as the foundations of bioinformatics and comparative genomics. There is also a project course. All three universities offer courses during the first year, with an emphasis on Karolinska Institute (fall semester) and Stockholm University (spring semester). Mandatory courses fall semester Frontiers in life science 1 Frontiers in translational medicine Applied communication Genetics Mandatory courses spring semester Frontiers in life science 2 Bioinformatics Project in molecular life science Comparative genomics Biophysical chemistry Year 2 The second year offers courses in applied gene technology, proteomics, drug design, and bioinformatics analysis of large-scale data. There is also a project course. Most courses during the fall semester are offered by KTH Royal Institute of Technology. During the spring semester, the individual degree project is performed. Mandatory courses fall semester Frontiers in life science 3 Project in molecular life science Proteomics Drug development Applied gene technology Analysis of data from high-throughput molecular biology experiments Mandatory courses spring semester Degree project The application process for the programme will be handled by the Royal Insititute of technology (KTH) in collaboration with Stockholms universitet (SU) and Karolinska Institutet (KI). Career opportunities The combination of molecular biology, biotechnology and medicine provides an excellent profile for a professional research career in an academic setting or in the biotechnological and pharmaceutical industry. The life science industries and academic institutions working in these areas are active and the life science sector is expanding worldwide, which gives students an excellent job market and wide range of possible employments. Application and tuition fees If you have citizenship within the EU/EEA, or Switzerland, you are not required to pay application or tuition fees. Application fee 900 SEK Tuition fee Total amount: 400 000 SEK First instalment: 100 000 SEK [-]

Master in Human-Computer Interaction

Umeå University, Faculty of Science and Technology
Campus Full time 2 years August 2017 Sweden Umeå

In addition to the continued development of increasingly powerful and portable personal computers, a range of new artefacts is appearing, including... [+]

Master's Programme in Human-Computer Interaction

 

In addition to the continued development of increasingly powerful and portable personal computers, a range of new artefacts is appearing, including car navigation devices and electronic books, adding to a large number of traditional artefacts, such as cameras, phones, washing machines, and fitness equipment, all of which are IT-artefacts which include advanced information processing components.

 

The trend towards the widespread use of IT-artefacts is one of the key aspects of the so-called "digital transformation", a revolutionary transformation of our culture and society that places a heavy emphasis on information and knowledge. This trend gives rise to new phenomena of human interaction with technology and world. Computational capabilities of the interactive things we use every day, combined with powerful new communication, input, and output capabilities, provide great possibilities for human action but also create numerous problems. Realising this potential effectively and efficiently requires that the interaction between people and IT-artefacts becomes an object of study dealing with both people and technology.... [-]