MSc Data Science (Environmental Analytics) / Application and selection
Year of entry: 2022
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How to apply
Advice to applicants
In your application, you should demonstrate aptitude, knowledge and/or interest in three areas:
- data analytics and/or statistics;
- computational subjects;
- pathway specific requirements.
These can be demonstrated by course units taken at undergraduate level and high school level, or professional experience.
As there is a high demand for our courses, we operate a staged admissions process with selection deadlines throughout the year. Due to the competition for places and high quality of applications that we receive, we give preference to students from high ranking institutions and with grades above our minimum entry requirements.
Please ensure you submit all supporting documentation with your application before the application deadline to avoid a delay in processing.
Applications for 2022 entry:
Stage 1: Application received by 3rd December 2021 ; Application update by 10th February 2022
Stage 2: Application received by 14th January 2022 ; Application update by 10th March 2022
Stage 3: Application received by 18th March 2022 ; Application update by 12th May 2022
Stage 4: Application received by 29th April 2022 ; Application update by 16th June 2022
Stage 5: Application received by 1st July 2022 ; Application update by 28th July 2022
Stage 6: Application received by 19th August ; Application update by 31st August 2022
Whilst we aim to give you a decision on your application by the deadline date, in some instances due to the competition for places and the volume of applications received, it may be necessary to roll your application forward to the next deadline date.
Applications received after our final selection deadline will be considered at our discretion if places are still available.
Please note: All places are subject to availability and if you apply at one of the later stages, some courses may already be reaching capacity or be closed to further applications. We, therefore, recommend that you apply early in the cycle to avoid disappointment.