This course provides you with advanced knowledge, methods and processes as an enabler for deploying data science and artificial intelligence. This will lead to solving 21st century world problems with greater scalability and efficiencies.
Learn about recent advances in the fields of data analytics, big data tools and technologies, machine intelligence while concretely experimenting on machine knowledge extraction and decision-support Use a broad range of data science tools and technologies, from those which are established (MATLAB, R and Weka), to the new favourites which prepare you for mainstream data science jobs (Python, Jupyter notebook, Apache Spark and libraries such as Keras, TensorFlow, and PyTorch) Graduate with important skills in strategic thinking for scientific research implementation and communication We’ve established close relationships with companies, research and government agencies that are interested in recruiting skilled graduates in data science and artificial intelligence Take part in organised codejams/hackathons, visit organisations and work on practical data science and artificial problems. This will support you in establishing an internship or placement Tailor your learning towards the areas that interest you, with option units covering topics such as neuronal analysis, smart systems, computer vision and Blockchain.