Data Science MRes
Each year the Data Science & Applied AI Team offer 8 data and analytics colleagues the opportunity to study for a Master of Research (MRes) in Data Science at Leeds University, supported by the NHS England Data Science & Applied AI Team.
As well as taught modules, a key feature is the workplace-based research project. These projects are tailored to the student and the emerging policy needs of NHS England. This results in novel insight and innovation to benefit the organisation. Students are supported by the NHS E Data Science team and supervised by academics from Leeds University and Leeds NHS Trust.
A showcase of some of these projects can be found in these pages.
- Prediction of CVD Onset
- Supporting Dementia Diagnosis
- Understanding Delays in Elective Pathways
- Investigating unknown ethnicity records in NHS emergency care data
- Predicting GP Staff Turnover
- Menopause-Related Diagnosis Coding
- Environmental Impacts on Mental Health in Leeds
- Impact of midwife-led continuity of carer on birth outcomes
- Predicting perinatal depression
- Poor pregnancy outcomes in women with type 2 diabetes
- Process Mining on Patient Pathways in Healthcare
- Relationship between Psychotropic Medication Usage and Talking Therapies Treatment Outcomes
- Factors related to Stillbirth Outcomes
- UTI Surgery Risk Predictions
- Predicting Winter Pressures on Emergency Admissions
Note
Please note, these projects were undertaken as a core component of the Master of Research course at Leeds University, they do not represent NHS England policy.