Education, learning and development are at the heart of The Campus’s aims. In 2018, 32 students registered on the Masters in Data Analytics for Government (MDataGov) which is a collaborative project between the Data Science Campus, ONS Learning Academy and academic partners across the UK.
MDataGov students engage in a wide variety of data science and analytics projects, utilising tools like distributed computing platforms, natural language processing, machine learning and advanced statistical modelling.
To mark the two-year anniversary of the Data Science Campus, staff and current and former MDataGov students attended the second annual MDataGov symposium in Manchester to look back on a wide array of projects. The Symposium hosted presentations and discussions on the Government’s data science challenges and how MDataGov students have applied their new-found skills to face them.
If you would like copies of any of the 2019 symposium presentations, please contact the Data Science Campus.
|Solange Correa Onel||Opening presentation|
|Anthony Fitzroy||How to acquire 2 billion records of data and make It accessible for data scientists|
|Fatima Chiroma||Enhancing the detection of potential threats using machine learning|
|Harrison Davies||Using R Markdown to automate Historical Census management information|
|Jamie Stainer||ONS data science pathfinder programme: Better outcomes through predictive analytics|
|Joshua Abramsky||Using optimisation to estimate flow of funds matrices for the United Kingdom|
|Julia Clark||Julia Clark – A brief History of (my) Time…as a guinea pig at Brookes – and how it got me a job|
|Katie Davidson||Where did you come from, where did you go, where should you go to treat that broken elbow: A tool exploring proximity to and demand on health services|
|Martin Wood||Constructing a topic modelling/clustering, validation & summarization pipeline|
|Dr Soumaya Mauthoor||Overview & application of hawkes process|
|Yuliagnis Transver Wijaya||Using Exploratory Data Analysis method for an early warning in Indonesia’s earthquakes disaster|
|Rhonda Hypolite||Regression (Linear and Logistic): What makes a good model and more