{"id":95,"date":"2024-10-17T12:22:51","date_gmt":"2024-10-17T10:22:51","guid":{"rendered":"https:\/\/www.fh-joanneum.at\/machine-learning-and-generative-ai\/master\/?page_id=95"},"modified":"2025-12-09T08:50:47","modified_gmt":"2025-12-09T07:50:47","slug":"degree-programme","status":"publish","type":"page","link":"https:\/\/www.fh-joanneum.at\/machine-learning-and-generative-ai\/master\/en\/my-studies\/degree-programme\/","title":{"rendered":"Degree programme"},"content":{"rendered":"<div\n    id=\"\"\n    class=\"wp-block-blockquote margin-bottom-normal\"\n>\n    <div class=\"container-lg\">\n        <div class=\"row\">\n            <div class=\"col\">\n                <div class=\"d-block mb-2 fs-5 major-text-color\">&#8220;Completing this study programme enables students to create, modify and apply various algorithms and frameworks in the context of Machine Learning and Generative AI. The programme combines scientifically based concepts with the latest developments in data science and artificial intelligence, as well as practical skills in machine learning, neural networks, generative AI and LLMs. With a versatile curriculum and hands-on projects, our graduates are well-equipped to successfully embark on their careers in the fast-paced future fields of the business world.&#8221;<\/div>\n                <span class=\"d-flex justify-content-end\">Wolfgang Granigg, Head of Degree Programme<\/span>\n            <\/div>\n        <\/div>\n    <\/div>\n<\/div>\n\n\n<div id=\"\" class=\"wp-block-text-content margin-bottom-normal\">\n    <div class=\"container-lg\">\n        <div class=\"row\">\n            <div class=\"col\">\n                <h3>Key areas of the Master&rsquo;s degree programme<\/h3>\n<h4><strong>Machine Learning and Neural Networks<\/strong><\/h4>\n<p>High performance and cloud computing form the basis for modern and computationally intensive machine learning applications. Complex deep learning architectures allow the solving of sophisticated tasks using supervised or unsupervised learning, as well as reinforcement learning (RL) and multi-agent reinforcement learning (MARL).<\/p>\n<h4><strong>Generative AI and LLMs<\/strong><\/h4>\n<p>Large intelligent language models deliver impressive results and are indispensable in today&rsquo;s world. A deep understanding of probabilistic and generative AI algorithms, as well as the structure and functionality of large language models (LLMs), is essential for their secure use and successful integration within companies.<\/p>\n<h4><strong>Computational Intelligence <\/strong><\/h4>\n<p>Discovering hidden patterns and relationships in data is central to data mining. Using numerical and statistical methods, as well as the fundamentals of machine learning and neural networks, custom algorithms can be implemented and optimised for these purposes.<\/p>\n<h4><strong>Data Storage and Processing <\/strong><\/h4>\n<p>Proficiency in relevant and current scripting languages is an essential qualification in the fields of data science and AI. Additionally, skilled use of query languages and a deep understanding of data storage and transformation are crucial competencies for efficient data processing and storage.<\/p>\n<h4><strong>Interdisciplinarity and Practical Applicability <\/strong><\/h4>\n<p>The programme enhances scientific research skills and competencies in modern, practical project management. A special emphasis is placed on sensitivity to ethical issues and data protection. Projects and electives allow for individual specialisation in cutting-edge areas. Through case studies, intensive exchange with companies and project work, the importance of practical applicability is highlighted.<\/p>\n\n            <\/div>\n        <\/div>\n            <\/div>\n<\/div>\n","protected":false},"excerpt":{"rendered":"<p>We provide extensive and academically sound training that creates the foundation for your professional future. Here you can find out about the general content, specialist topics and focal points of the courses.<\/p>\n","protected":false},"author":143,"featured_media":55,"parent":14,"menu_order":10,"comment_status":"closed","ping_status":"closed","template":"","meta":{"_acf_changed":false,"footnotes":""},"acf":[],"aioseo_notices":[],"_links":{"self":[{"href":"https:\/\/www.fh-joanneum.at\/machine-learning-and-generative-ai\/master\/en\/wp-json\/wp\/v2\/pages\/95"}],"collection":[{"href":"https:\/\/www.fh-joanneum.at\/machine-learning-and-generative-ai\/master\/en\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/www.fh-joanneum.at\/machine-learning-and-generative-ai\/master\/en\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/www.fh-joanneum.at\/machine-learning-and-generative-ai\/master\/en\/wp-json\/wp\/v2\/users\/143"}],"replies":[{"embeddable":true,"href":"https:\/\/www.fh-joanneum.at\/machine-learning-and-generative-ai\/master\/en\/wp-json\/wp\/v2\/comments?post=95"}],"version-history":[{"count":2,"href":"https:\/\/www.fh-joanneum.at\/machine-learning-and-generative-ai\/master\/en\/wp-json\/wp\/v2\/pages\/95\/revisions"}],"predecessor-version":[{"id":191,"href":"https:\/\/www.fh-joanneum.at\/machine-learning-and-generative-ai\/master\/en\/wp-json\/wp\/v2\/pages\/95\/revisions\/191"}],"up":[{"embeddable":true,"href":"https:\/\/www.fh-joanneum.at\/machine-learning-and-generative-ai\/master\/en\/wp-json\/wp\/v2\/pages\/14"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.fh-joanneum.at\/machine-learning-and-generative-ai\/master\/en\/wp-json\/wp\/v2\/media\/55"}],"wp:attachment":[{"href":"https:\/\/www.fh-joanneum.at\/machine-learning-and-generative-ai\/master\/en\/wp-json\/wp\/v2\/media?parent=95"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}