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. [-]

International Master in Business Analytics & Big Data (BABD)

MIP Politecnico di Milano School of Management
Campus Full time 12 months

Business Analytics and Big Data is an innovative programme based on a holistic educational experience, where theory and practice are fully interlaced through the continuous support of companies and international partners. Furthermore, being in constant relationship with the Big Data Analytics & Business Intelligence Observatory of Politecnico di Milano, the course is at the forefront of research on ICTs for big data analysis and management. This truly unique programme is jointly offered by MIP and CEFRIEL - Politecnico di Milano and it is in partnership with IBM. [+]

In partnership with CEFRIEL Start date: September Format: Full Time Duration: 12 months Tuition fee: € 14,000 Language: English Location: Milan Admission Requirements: 3 or 4 year Bachelor's degree (minimum 180 ECTS) Business Analytics and Big Data is an innovative programme based on a holistic educational experience, where theory and practice are fully interlaced through the continuous support of companies and international partners. Furthermore, being in constant relationship with the Big Data Analytics & Business Intelligence Observatory of Politecnico di Milano, the course is at the forefront of research on ICTs for big data analysis and management. This truly unique programme is jointly offered by MIP and CEFRIEL - Politecnico di Milano and it is in partnership with IBM. With the Big Data revolution an ever-growing number of leading organizations and governments are launching big data initiatives to gain actionable insights, drive key decisions and improve performance across all business functions. Welcome to the International Master in Business Analytics and Big Data designed to train a new generation of data-savvy professionals able to manage complex business analytics problems across a variety of different industries and environments. This truly unique programme is jointly offered by MIP and CEFRIEL- Politecnico di Milano. Be prepared for the jobs of the future as Business Analyst and Big Data Manager. The Partners MIP Politecnico di Milano: a global business school accredited by EQUIS, AMBA, EFMD and ranked by the Financial Times amongst the best European business schools, further complemented by it's deeply rooted knowledge and reputation in the luxury value chain management. The quality of the competencies expressed are also supported by the strong links developed with the Faculty of Engineeirng and Design of Politecnico di Milano, which is the largest one in Europe. CEFRIEL – Politecnico di Milano is a not-for-profit center of excellence in the field of Digital Innovation, established by Politecnico di Milano in 1988. CEFRIEL shareholders include Universities, Public Administration, and leading multinational companies in ICT and Media sectors. Since its inception, CEFRIEL mission has been to strengthen existing ties between the academic and business worlds through a multidisciplinary approach that innovates products and services with ICT and Design. CEFRIEL competences span all areas of ICT expertise, from microelectronics to the most advanced user experience models, addressing both technological and project management issues. CEFRIEL is actually able to merge technical and design skills with business and process expertise, thus working side by side with companies to create innovative and one-of-a-kind solutions, and offering advanced educational programs to graduate students and innovation executive professionals. Moreover, the center actively participates in European research projects and contributes to the dissemination of their results. CEFRIEL offices are located in Italy and USA, Cincinnati (Ohio), so to address the growing innovation demands both of its national and international clients. IBM is a globally integrated technology and consulting company headquartered in Armonk, New York. With operations in more than 170 countries, IBM attracts and retains some of the world's most talented people to help solve problems and provide an edge for businesses, governments and non-profits. Innovation is at the core of IBM's strategy. The company develops and sells software and systems hardware and a broad range of infrastructure, cloud and consulting services. Today, IBM is focused on five growth initiatives - Cloud, Big Data and Analytics, Mobile, Social Business and Security. IBMers are working with customers around the world to apply the company's business consulting, technology and R&D expertise to enable systems of engagement that deliver dynamic insights for businesses and governments worldwide. WHO IS IT DESIGNED FOR? The programme is specifically conceived for graduates who wish to acquire and develop advanced quantitative skills to analyze data describing transactions, interactions or people's behavior, in order to extract relevant insights, optimize actions and drive innovation. Students backgrounds reflect the dual focus of the master, coming from computer science, economics, engineering, management, mathematics, science or statistics. While having different academic backgrounds, students all share a deep interest in analytics and big data technologies for creating business value. Relevant career positions revolve around the roles of data scientist, business analyst and big data manager, and might include among others: Data Users: Business folks in the end user corporate community able to exploit insights from data to make better decisions. Data Producers: Data analysts able to use the appropriate tools to convert analytical problems into analytical solutions. Data Interpreters: Professionals able to understand both users and producers establishing a successful communication among them. Modules The course is entirely taught in English and has a duration of 12 months starting in September. The programme is divided into seven major modules: General Management, Data management and Warehousing, Foundamentals of Statistics and Data Visualization, Predictive Analytics and Business Applications, Analytics for Management and Electives. The master will end with the Project Work to present. Admissions IDEAL CANDIDATES FOR THE PROGRAMME The International Master in Business Analytics and Big Data is specifically designed for young graduated talents that want to be prepared for the jobs of the future as Business Analyst and Big Data Manager. Students with 3 or 4-year Bachelor's degree (minimum 180 ECTS) in the areas of Computer Science, Economics, Engineering, Management, Mathematics, Science or Statistics from Accredited Institutions are eligible for the programme. APPLICATIONS FOR THE 2016 PROGRAMME Applications for the September 2016 intake are now closed. Applications for the September 2017 intake will open in September 2016. Non-EU students are encouraged to apply at least three months before the start of the programme in order to allow enough time for the Declaration of Value (DOV) procedure for Italy and establishment of the student visa. If you would like more information about the International Master in Business Analytics and Big Data, please download our programme brochure by clicking the link, or write to infomasters@mip.polimi.it and we will respond to your requests in a timely fashion. Visit the BABD Frequently Asked Questions page to find out more! [-]

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. [+]

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