Computational Intelligence for Data Analytics option - MSc in Computational and Software Techniques in Engineering

Cranfield University

In a world of exponentially increasing data volumes, computationally intelligent data handling algorithms are crucial in a wide range of fields that require fast, accurate and automated decision-making. Data is being generated by IoT devices, social media platforms and commercial transactions at an increasing rate and there is a real need to process and understand this data in shorter and shorter time-scales.The ability to automate the analysis of these large data sets in batch or real-time environments brings huge benefits and competitive advantages to a range of commercial sectors, such as financial, manufacturing, retail, aerospace, automotive and defence. You will develop a solid base of skills in computer science and artificial intelligence, necessary to develop and validate effective algorithms. These abilities will help you to deal with a range of complex problems where intelligent decision-making or future predictions are based on an understanding of Big Data environments, and applying effective solutions.The course is directed by an Industrial Advisory Panel that meets twice a year. The committee acts in an advisory role, assessing the content of the course and its relevance to present industrial needs. A number of members also attend the annual student thesis presentations which take place at the end of July, a month or so before the end of the course.