Master's in Data Science and AI

Chalmers University of Technology: Chalmers University of Technology, situated in Gothenburg, Sweden, is a prominent technical university known for its world-class education and research in engineering, technology, and natural sciences. Chalmers fosters an entrepreneurial and collaborative environment and encourages innovation and sustainability. The university has strong ties with industry and offers students valuable opportunities for practical training and

Data science and AI master's programme​ at Chalmers With the digital revolution, Data science and Artificial Intelligence (AI) has become an important part of our lives and society as a whole. In addition, the quickly emerging technologies for processing large-scale data and machine learning is creating a wealth of opportunities where automated decision-making is becoming a reality. Skilled data scientists and AI engineers are in high demand everywhere. With a solid foundation in machine learning, you will have a wide range of career opportunities. Data science is a highly cross-disciplinary field concerned with how to extract useful knowledge from data, for deeper understanding and decision support. It is based on a blend of methods in statistics and machine learning, together with computational techniques and algorithms for handling large-scale data. Examples of application areas include biology and other sciences, healthcare, business, finance, and different kinds of internet data. Computational methods range from algorithms for collecting and handling large-scale data, statistical methods such as Bayesian modelling, to machine learning techniques such as deep neural networks. AI is about building intelligent systems and is currently a rapidly evolving field thanks to recent advances in machine learning with large-scale data, where machine learning enables the computer to perform complex tasks without being explicitly programmed. Successful examples of this approach include machine translation, computer vision, game playing and self-driving vehicles. Through their use of large-scale data and machine learning, the fields of Data science and AI are closely connected. They are also connected in their application since it is common to first collect and analyse data to better understand the problem, and then to build algorithms and systems for decision support and autonomous decision-making. Therefore, with an increased demand for advanced information systems and computer applications in a wide range of areas, Data science, and AI are becoming necessary ingredients in software development in general. The overall aim of the programme is to educate engineers who can undertake a wide variety of challenges in handling and analysing different kinds of data, and who are able to use and develop software in complex data-intensive and AI-related applications. This requires a good understanding of both theory and practice, including the possibilities and limitations of existing and evolving technologies, and how to responsibly apply these in various situations. The courses of the programme will provide a solid foundation in machine learning, statistics, and optimization, with an depth understanding of the mathematical modelling techniques used for extracting information from large sets of complex data, and with the computational skills and algorithms for working with such data. You will also gain familiarity with a range of common problems within Data science and AI which can be solved with such techniques. Through a combination of theory and practice in the courses of the programme, you will gain an understanding of how and why certain models and algorithms work and will be able to identify their possibilities and limitations. You will be able to approach a real-world problem in a specific problem domain, combining existing and new methods to create an efficient solution. You will be able to continuously learn in these rapidly evolving fields, communicate with experts and non-experts in specific problem domains, and apply these technologies responsibly. You will also gain the insights to be able to understand and influence the role of Data science and AI in society.