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 analyzing 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.
What is Data Science and AI?
Data Science is a highly cross-disciplinary field concerned with how to extract useful knowledge from data, for deeper understanding and decison 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.
The programme will lead to a wide range of career opportunities within many different application domains, e.g. virtually every other engineering discipline, as well as within medicine and finance. You will be well equipped to pursue a career in industry or government, as well as for further doctoral studies and an academic career.
Chalmers has renowned expertise within many of the Data Science and AI subareas, including machine learning, bioinformatics, image analysis and computer vision, natural language processing, databases, large-scale algorithms and optimization, stochastic modelling, Bayesian and spatial statistics. The Gothenburg area region includes many companies with extensive activities in these areas. There are also major initiatives in AI at Chalmers and nationally in Sweden, creating additional opportunities in the future.
Several departments besides the department of Computer Science and Engineering and the Department of Mathematical Sciences offer courses where data science and/or AI is applied to their specific subdomain, including the departments of Space, Earth and Environment, Physics, Biology and Biotechnology, Electrical engineering, Chemistry and Chemical engineering, Microtechnology and Nanoscience, and Technology Management and Economics.
Who should apply
Other Programmes that might interest you
Complex Adaptive Systems
Computer Science – Algorithms, Languages and Logic
Computer Systems and Networks
Engineering Mathematics and Computational Science
High-Performance Computer Systems
Software Engineering and Technology
Entry requirements (academic year 2019/20)
An applicant must either have a Bachelor’s degree in Science/Engineering/Technology/Architecture or be enrolled in his/her last year of studies leading to such a degree.
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