[{"title":{"valueFi":"Kuvaus","valueEn":"Description","valueSv":""},"content":{"valueEn":"In the Data analytics major subject, students learn what are the operational principles of the key data analysis methods and how to apply them in practice. Teaching in the field is linked to the current research themes of the Department of Computing, from health technology to computational humanities and from language technology to robotics. Our research activities and collaborative projects with applied research fields, companies, and public actors enable a diverse in-depth selection of courses and thesis topics.\r\n\r\nThe scope of the Master of Science in Technology (DI) degree is 120 ECTS credit points, and the degree is divided into the following modules for the Data Analytics track:\r\n\r\n* Joint advanced studies of the ICT degree program (20 credits)\r\n* Studies in Data Analytics (20 credits)\r\n* Advanced studies in Data Analytics (10 credits)\r\n* Master’s thesis (30 credits)\r\n* Thematic module or minor subject (20-25 credits)\r\n* Other studies (15-20 credits).\r\n\r\n**Career options**\r\n\r\nData and data analytics are the cornerstones of digitalisation and artificial intelligence. The need for the effective utilization and communication of data in research, decision-making and society is growing rapidly, offering diverse career opportunities for those skilled in the field. The importance of open and transparent data has also grown, hence creating opportunities for a rapidly growing range of services and businesses. Knowledge management has become one of the most important factors in the competitiveness of companies, and data analytics plays a key role in this. Data analytics is widely applicable in various sectors of society, and the exploitation of explosively increased data requires specialists, who are in high demand in the labor market.","valueFi":"In the Data analytics major subject, students learn what are the operational principles of the key data analysis methods and how to apply them in practice. Teaching in the field is linked to the current research themes of the Department of Computing, from health technology to computational humanities and from language technology to robotics. Our research activities and collaborative projects with applied research fields, companies, and public actors enable a diverse in-depth selection of courses and thesis topics.\r\n\r\nThe scope of the Master of Science in Technology (DI) degree is 120 ECTS credit points, and the degree is divided into the following modules for the Data Analytics track:\r\n\r\n* Joint advanced studies of the ICT degree program (20 credits)\r\n* Studies in Data Analytics (20 credits)\r\n* Advanced studies in Data Analytics (10 credits)\r\n* Master’s thesis (30 credits)\r\n* Thematic module or minor subject (20-25 credits)\r\n* Other studies (15-20 credits).\r\n\r\n**Career options**\r\n\r\nData and data analytics are the cornerstones of digitalisation and artificial intelligence. The need for the effective utilization and communication of data in research, decision-making and society is growing rapidly, offering diverse career opportunities for those skilled in the field. The importance of open and transparent data has also grown, hence creating opportunities for a rapidly growing range of services and businesses. Knowledge management has become one of the most important factors in the competitiveness of companies, and data analytics plays a key role in this. Data analytics is widely applicable in various sectors of society, and the exploitation of explosively increased data requires specialists, who are in high demand in the labor market.","valueSv":""}},{"title":{"valueFi":"Lisätiedot","valueEn":"Further information","valueSv":""},"content":{"valueEn":"The Finnish language course is required if the student has not obtained the skills in Finnish language as specified in the Act on the Knowledge of Languages Required of Personnel in Public Bodies (424/2003). These skills are typically obtained if your native language is Finnish and you have completed a Bachelor's degree in Finnish. If a Finnish language course is compulsory to you, it has to be at least 5 ECTS (or several courses that together amount to at least 5 ECTS credits). The courses KIFF0201 Finnish 1 (4 ECTS) and KIFF0200 Let's Start! Introduction to Finnish Studies (1 ECTS) are recommended in this curriculum. Please note that Finnish language studies are important for employment and integration also beyond these initial courses.\r\n\r\nAt the University of Turku, a central strategic theme is biodiversity and sustainability. The studies in data analytics give you skills that contribute to sustainable development, in particular through the efficiency of technological solutions, innovation and the dissemination of information.Our teaching and research enable new innovations in the development of more sustainable and energy-efficient technologies as well as technologies that assist other disciplines working for sustainable development. Applications such as remote access, electronic communication and e-participation contribute to social equity and social sustainability around the world.The degree programme is organized with ecological and economic sustainability in mind, targeting eco-efficient solutions and minimal material consumption by means of for example online teaching, e-learning materials, electronic exams and virtual laboratory environments.","valueFi":"The Finnish language course is required if the student has not obtained the skills in Finnish language as specified in the Act on the Knowledge of Languages Required of Personnel in Public Bodies (424/2003). These skills are typically obtained if your native language is Finnish and you have completed a Bachelor's degree in Finnish. If a Finnish language course is compulsory to you, it has to be at least 5 ECTS (or several courses that together amount to at least 5 ECTS credits). The courses KIFF0201 Finnish 1 (4 ECTS) and KIFF0200 Let's Start! Introduction to Finnish Studies (1 ECTS) are recommended in this curriculum. Please note that Finnish language studies are important for employment and integration also beyond these initial courses.\r\n\r\nAt the University of Turku, a central strategic theme is biodiversity and sustainability. The studies in data analytics give you skills that contribute to sustainable development, in particular through the efficiency of technological solutions, innovation and the dissemination of information.Our teaching and research enable new innovations in the development of more sustainable and energy-efficient technologies as well as technologies that assist other disciplines working for sustainable development. Applications such as remote access, electronic communication and e-participation contribute to social equity and social sustainability around the world.The degree programme is organized with ecological and economic sustainability in mind, targeting eco-efficient solutions and minimal material consumption by means of for example online teaching, e-learning materials, electronic exams and virtual laboratory environments.","valueSv":""}},{"title":{"valueFi":"Osaamistavoitteet","valueEn":"Objective","valueSv":""},"content":{"valueEn":"**ILOs in technical topics**\r\n\r\nAfter completing a degree in data analytics, You\r\n* are aware of the main methods of data analysis, their theoretical basis, their possibilities and their limitations;\r\n* can apply scientific methods in the field;\r\n* can find and use existing - or, when necessary, develop your own - methods of data analysis;\r\n* can search and critically evaluate scientific literature;\r\n* acquire the skills based on the latest research for wide-ranging and responsible expert and management positions in the field of data analysis and more broadly in information technology;\r\n* achieve multidisciplinary competencies that support diverse professional development and lifelong learning in changing work environments;\r\n* master the central cooperation and oral and written communication skills required in working life;\r\n* know how to work and get around in a multidisciplinary and multicultural work environment;\r\n* understand the importance of science and technology to the individual, society, the environment; and\r\n* are ready for postgraduate scientific studies in data analytics and related fields.\r\n\r\n**Working life skills in the degree**\r\n\r\nIn addition to technical content, the degree content also pays attention to other working life skills needed for example in a career as an expert, and entrepreneur or a researcher. Special attention is given to the following skills and abilities:\r\n* Ability to creatively and efficiently solve problems in different situations and environments. Ability to identify different potential solutions and to choose the one that seems most feasible based on the available information.\r\n* Ability to apply the theoretical/technical knowledge learned in the degree into practice and into practical applications. Development of own expertise (life-long learning), ability to consider the field from a broad perspective.\r\n* Ability to control the different sub-parts of a project, ability to take a responsible role in project work as a group member in an international multi-cultural setting. Ability to organize own work and also the work of others in the project, ability to understand one’s own role in the project. Ability for efficient problem solving in a project setting.\r\n* Good communication skills including oral communication and oral presentation skills, written reports and written presentation, all taking into account the target audience in question and their ability to understand the communication from their technological and cultural background. In written communication, skills to produce highly understandable, clear and comprehensive texts (academic, technical, popular) in good English.\r\n* Ability to comprehensively and widely obtain information while taking a critical attitude towards the information sources and the discovered information. Ability to distinguish between relevant and irrelevant information and to condense the information (producing an executive summary or a topical survey), and to properly reference sources.\r\n* People networking skills for building functional working life networks.","valueFi":"**ILOs in technical topics**\r\n\r\nAfter completing a degree in data analytics, You\r\n* are aware of the main methods of data analysis, their theoretical basis, their possibilities and their limitations;\r\n* can apply scientific methods in the field;\r\n* can find and use existing - or, when necessary, develop your own - methods of data analysis;\r\n* can search and critically evaluate scientific literature;\r\n* acquire the skills based on the latest research for wide-ranging and responsible expert and management positions in the field of data analysis and more broadly in information technology;\r\n* achieve multidisciplinary competencies that support diverse professional development and lifelong learning in changing work environments;\r\n* master the central cooperation and oral and written communication skills required in working life;\r\n* know how to work and get around in a multidisciplinary and multicultural work environment;\r\n* understand the importance of science and technology to the individual, society, the environment; and\r\n* are ready for postgraduate scientific studies in data analytics and related fields.\r\n\r\n**Working life skills in the degree**\r\n\r\nIn addition to technical content, the degree content also pays attention to other working life skills needed for example in a career as an expert, and entrepreneur or a researcher. Special attention is given to the following skills and abilities:\r\n* Ability to creatively and efficiently solve problems in different situations and environments. Ability to identify different potential solutions and to choose the one that seems most feasible based on the available information.\r\n* Ability to apply the theoretical/technical knowledge learned in the degree into practice and into practical applications. Development of own expertise (life-long learning), ability to consider the field from a broad perspective.\r\n* Ability to control the different sub-parts of a project, ability to take a responsible role in project work as a group member in an international multi-cultural setting. Ability to organize own work and also the work of others in the project, ability to understand one’s own role in the project. Ability for efficient problem solving in a project setting.\r\n* Good communication skills including oral communication and oral presentation skills, written reports and written presentation, all taking into account the target audience in question and their ability to understand the communication from their technological and cultural background. In written communication, skills to produce highly understandable, clear and comprehensive texts (academic, technical, popular) in good English.\r\n* Ability to comprehensively and widely obtain information while taking a critical attitude towards the information sources and the discovered information. Ability to distinguish between relevant and irrelevant information and to condense the information (producing an executive summary or a topical survey), and to properly reference sources.\r\n* People networking skills for building functional working life networks.","valueSv":""}}]