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Programmes

Search for bachelor’s and master’s programmes taught in English at Swedish universities.

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You can filter this list by specifying level of study (bachelor's or master's), subject area or university.

Listing 1072 programmes

Adult Learning and Global Change

Programme duration: 1 year (60 ECTS credits)

University: Linköping University

Programme website: Adult Learning and Global Change

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Adult learning and Global change is an online international master's programme designed to enhance practitioners' ability to work in a globalising world and to challenge the traditional perspectives of globalization. It is a collaboration between four universities on four different continents.

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Aeronautical Engineering, Master's programme

Programme duration: 2 years (120 ECTS credits)

University: Linköping University

Programme website: Aeronautical Engineering, Master's programme

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The master's programme in Aeronautical Engineering at Linköping University offers a holistic view on aircraft design. An aircraft is a complex, integrated, closely connected system of various technologies and disciplines such as aerodynamics, structure, propulsion, actuation systems and other on-board systems. All these disciplines need to be optimised in order to achieve the function and efficiency required in an aircraft. The programme involves a project in the later part when all these disciplines come together and challenge students to design, build and fly an aircraft, or a subscale version of it.

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Analytical Finance

Programme duration: 3 years (180 ECTS credits)

University: Mälardalen University

Programme website: Analytical Finance

Ancient and medieval philosophy and classical philology, Master's Programme

Programme duration: 2 years (120 ECTS credits)

University: University of Gothenburg

Programme website: Ancient and medieval philosophy and classical philology, Master's Programme

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History of Philosophy provides us with an understanding of the origin and development of scientific thought. The history of ancient and medieval philosophy of language and mind is largely understood to include ancient and medieval logic and semantics, theories of communication and argumentation, theories of knowledge, cognitive psychology, theories of mind, as well as their metaphysical foundations.

In addition to philosophical competence and a high level of methodological and historical sensitivity, linguistic skills in Greek and Latin and related auxiliary sciences such as paleography, codicology and textual criticism are essential tools for any student or researcher who wants to access the most influential texts in the development of Western thought directly and independently. Hence, as a scientific discipline, Ancient and Medieval Philosophy requires a set of essential skills that are becoming increasingly rare even on a global scale.

Ancient and Medieval Philosophy and Classical Philology: Master’s Programme offers students the possibility to acquire these skills and to do so in a leading research environment. The programme has originated as a direct result of a major interdisciplinary research programme (see http://representationandreality.gu.se/) and is offered in close interaction with the research group and its international network of leading scholars and partner institutions.

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Ancient and medieval philosophy and classical philology, Master's Programme

Programme duration: 2 years (120 ECTS credits)

University: University of Gothenburg

Programme website: Ancient and medieval philosophy and classical philology, Master's Programme

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History of Philosophy provides us with an understanding of the origin and development of scientific thought. The history of ancient and medieval philosophy of language and mind is largely understood to include ancient and medieval logic and semantics, theories of communication and argumentation, theories of knowledge, cognitive psychology, theories of mind, as well as their metaphysical foundations.

In addition to philosophical competence and a high level of methodological and historical sensitivity, linguistic skills in Greek and Latin and related auxiliary sciences such as paleography, codicology and textual criticism are essential tools for any student or researcher who wants to access the most influential texts in the development of Western thought directly and independently. Hence, as a scientific discipline, Ancient and Medieval Philosophy requires a set of essential skills that are becoming increasingly rare even on a global scale.

Ancient and Medieval Philosophy and Classical Philology: Master’s Programme offers students the possibility to acquire these skills and to do so in a leading research environment. The programme has originated as a direct result of a major interdisciplinary research programme (see http://representationandreality.gu.se/) and is offered in close interaction with the research group and its international network of leading scholars and partner institutions.

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Applied Data Science Master's Programme

Programme duration: 2 years (120 ECTS credits)

University: University of Gothenburg

Programme website: Applied Data Science Master's Programme

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Data Science is concerned with extracting meaning from large volumes of data. It is a field that has grown rapidly in recent years as a result of the increasing availability of large data sets, and the opportunities and challenges that these present. Central topics within Data Science include data mining, machine learning, databases, and the application of data science methods in natural sciences, life sciences, business, humanities and social sciences, as well as in industry and society.

Data Science is having a big impact on industry. For some companies, being able to handle and analyse massive data sets is central to their business model. Even for other companies, being able to extract information from data (e.g. data about customers) can offer crucial competitive advantages. People with knowledge and skills in Data Science are therefore in high demand, in Gothenburg and internationally. Similarly, within scientific research, data-intensive scientific discovery is increasingly important in many areas, and researchers need to be able to handle and analyse massive data sets. Thus, providing training in the management and analysis of large-scale data is important in preparing students for further study and research within higher education, research institutes and industry.

The Master's programme in Applied Data Science is designed to be accessible to students with a wide range of Bachelor's degrees, and a Master's level education in Applied Data Science will be of benefit to students with backgrounds in many different areas who recognise that being able to work effectively with large data sets will be important in their future careers. Some previous programming experience is required, and the programme builds on this. The programme gives students an overview of the techniques and technologies that are relevant to Data Science, an appreciation of when and how these can be used, and practical skills in their application.

This two-year programme includes the following compulsory courses that provide a core within Data Science:

Introduction to Data Science (7.5 credits) Thinking and Working Mathematically (7.5 credits) Statistical Methods for Applied Data Science (7.5 credits) Applied Machine Learning (7.5 credits) Techniques for Large-scale Data (7.5 credits) Master’s Thesis in Data Science (30 credits)

Applied Data Science is multi-disciplinary by nature, and the programme is designed to allow space for students to create their own profiles by choosing optional courses. Students can choose courses in areas where Data Science methods can be applied, or courses in technical areas that feature techniques and technologies that complement those introduced in the programme's compulsory courses. Students are particularly encouraged to supplement the compulsory courses that provide a core in Data Science with optional second-cycle courses in the area of their first degree.

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Applied Data Science Master's Programme

Programme duration: 2 years (120 ECTS credits)

University: University of Gothenburg

Programme website: Applied Data Science Master's Programme

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Data Science is concerned with extracting meaning from large volumes of data. It is a field that has grown rapidly in recent years as a result of the increasing availability of large data sets, and the opportunities and challenges that these present. Central topics within Data Science include data mining, machine learning, databases, and the application of data science methods in natural sciences, life sciences, business, humanities and social sciences, as well as in industry and society.

Data Science is having a big impact on industry. For some companies, being able to handle and analyse massive data sets is central to their business model. Even for other companies, being able to extract information from data (e.g. data about customers) can offer crucial competitive advantages. People with knowledge and skills in Data Science are therefore in high demand, in Gothenburg and internationally. Similarly, within scientific research, data-intensive scientific discovery is increasingly important in many areas, and researchers need to be able to handle and analyse massive data sets. Thus, providing training in the management and analysis of large-scale data is important in preparing students for further study and research within higher education, research institutes and industry.

The Master's programme in Applied Data Science is designed to be accessible to students with a wide range of Bachelor's degrees, and a Master's level education in Applied Data Science will be of benefit to students with backgrounds in many different areas who recognise that being able to work effectively with large data sets will be important in their future careers. Some previous programming experience is required, and the programme builds on this. The programme gives students an overview of the techniques and technologies that are relevant to Data Science, an appreciation of when and how these can be used, and practical skills in their application.

This two-year programme includes the following compulsory courses that provide a core within Data Science:

Introduction to Data Science (7.5 credits) Thinking and Working Mathematically (7.5 credits) Statistical Methods for Applied Data Science (7.5 credits) Applied Machine Learning (7.5 credits) Techniques for Large-scale Data (7.5 credits) Master’s Thesis in Data Science (30 credits)

Applied Data Science is multi-disciplinary by nature, and the programme is designed to allow space for students to create their own profiles by choosing optional courses. Students can choose courses in areas where Data Science methods can be applied, or courses in technical areas that feature techniques and technologies that complement those introduced in the programme's compulsory courses. Students are particularly encouraged to supplement the compulsory courses that provide a core in Data Science with optional second-cycle courses in the area of their first degree.

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Applied Ethics, Master´s Programme

Programme duration: 1 year (60 ECTS credits)

University: Linköping University

Programme website: Applied Ethics, Master´s Programme

Applied Ethology and Animal Biology, Master's programme

Programme duration: 2 years (120 ECTS credits)

University: Linköping University

Programme website: Applied Ethology and Animal Biology, Master's programme

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The master's programme in Applied Ethology and Animal Biology deals with animal behaviour and biology from an applied perspective, including problems associated with keeping animals in captivity. Students gain a good working knowledge of the programme's central issues, such as the biology of stress as related to animal welfare, the effects of domestication on animal behaviour, the physiology of behaviour and conservation biology. The programme is taught in collaboration with Kolmården Wildlife Park, one of the largest and most renowned zoos in Sweden.

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Applied Materials and Surface Engineering, Master Programme

Programme duration: 1 year (60 ECTS credits)

University: Dalarna University

Programme website: Applied Materials and Surface Engineering, Master Programme

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In addition to the objectives referred to in the Higher Education Act (see 1.2 above), a student graduating from the one-year master programme in Applied Materials and Surface Engineering should have the following knowledge, skills and assessment abilities. Knowledge and understanding · Demonstrate detailed understanding of the relationship between the structure of metallic materials, properties and their use, · Demonstrate advanced knowledge regarding mechanical and tribological properties of metallic materials, and the properties of surfaces, modification and characterization, · Demonstrate knowledge and understanding of the manufacturing of the materials from a performance, economic, ecological and ethical perspective, · Demonstrate detailed knowledge of materials characterization and its application in the failure analysis, and the principles to prevent failure of a component, · Demonstrate knowledge and understanding of the characteristics of an engineering approach to solve a technical problem of the materials. Skills and abilities · Demonstrate the ability with an engineering approach to solve a technical material-related problem, · Demonstrate the skill and ability to plan, implement, evaluate and present oral and written projects based on various forms of materials testing and materials characterization of metallic materials and their surfaces, · Demonstrate the ability to effectively plan and carry out the tasks in projects. Evaluation ability and approach · Evaluate complex engineering problems in terms of materials from a holistic perspective, which can be incompletely defined and contain conflicting information, · Demonstrate the ability to evaluate different materials solutions for the metal and engineering industry by taking technical, economic and environmental aspects into account, given important ethical and sustainable views.

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Applied Mathematics Programme

Programme duration: 3 years (180 ECTS credits)

University: Linnaeus University

Programme website: Applied Mathematics Programme

Applied Mathematics Programme

Programme duration: 3 years (180 ECTS credits)

University: Linnaeus University

Programme website: Applied Mathematics Programme

Applied Mechanics, Msc Progr

Programme duration: 2 years (120 ECTS credits)

University: Chalmers University of Technology

Programme website: Applied Mechanics, Msc Progr

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The main goal of the programme is to prepare students for a professional career in any area of engineering and development that requires an advanced knowledge of modelling, computational and experimental issues in applied mechanics.

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Applied Physics, Msc Progr

Programme duration: 2 years (120 ECTS credits)

University: Chalmers University of Technology

Programme website: Applied Physics, Msc Progr

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