This programme services the increasing need for the application of data science methods to the Engineering and Built Environment sectors. To enable professionals to adapt to this rapidly changing context of the 4th Industrial Revolution, the programme has developed modules in machine learning, data and statistical analysis, programming and BIM . This course will provide professionals from the Engineering and Construction domains with the skills to maximise the value of their data by analysing & interpreting this information to improve outcomes for our built and natural environments, and the systems, machines and equipment operating in them.
This level 9 programme specifically targets the retention and career progression of staff through the development of new and valuable skills in the area of analytics. This course enables students to expand their job and career opportunities, as it seeks to create professionals who can leverage a variety of analytics tools, statistical methods, data mining techniques, and classification methods to provide insights into the vast collation of data being produced by construction organisations daily.
Students will be required to own or have significant access to a PC or laptop that meets the specifications identified for Revit 2023 - Value