Data Science and AI

With the digital revolution, Data Science and Artificial Intelligence (AI) has become an important part of our lives and in society as a whole. Vast amounts of data are available in science, industry and other organizations, ranging from molecular biology to social media, from quantum physics to business and retail. In addition, the quickly emerging technologies for processing large-scale data and machine learning is creating a wealth of opportunities, in analysing such data for understanding and insight, and for building AI systems for new complex tasks, 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, and in understanding the diverse problems of Data Science and AI, you will have a wide range of career opportunities to choose from.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.