Applicants are invited to apply for an Analytical Sciences CDT joint MSc and PhD (1+3 route). Students undertake the MSc in Molecular Analytical Science and choose their PhD project title during the MSc year.
Further opportunities for 2021 will be advertised here.
Alternatively click here to see opportunities available under the direct PhD route.
2021 1 + 3 MSc and PhD Project Areas
|Novel statistical methods for large datasets from FTICR Mass spectrometry||N/A|
|Applying Bayesian statistics to NMR crystallography||Simon Spencer and Steven Brown||N/A|
|Is Your Tumor Treatable? Functional Data Analysis of Dynamic Optoacoustic Tomography Imaging||Shahin Tavakoli||
Sarah Bohndiek (Cancer Research UK, Cambridge)
AZ have collaborated on projects in many areas of analytical Science including diffraction, electrochemistry, mass spectrometry and NMR with the previous CDT, you can see a list of projects they are included in on the MAS CDT website and this project with a 2019 cohort student.
|To be confirmed during MSc year|
1+3 Route Overview
The MSc course starts with Welcome Week at Warwick during which social, networking and learning sessions will allow the new students to meet each other and revise some undergraduate level concepts.
The two 11 week research projects are unique to each student. You will be embedded in two different research environments allowing you to gain necessary experience before moving on to your PhD. On successful completion of the MSc progression to PhD will be automatic, choosing a title from one of the two mini-projects.
Although the MSc is a formally assessed programme and we treat the assessment process seriously, the aim is to equip you with skills you need for research across the analytical sciences. Our concern is therefore to ensure you can use skills rather than merely pass an exam or submit an assignment.
Students from different backgrounds will find different aspects of the course more challenging. Where required, such as for students from non-mathematical backgrounds needing an introduction to basic mathematical skills, the student cohort may be divided into two groups with specially tailored teaching material and assessed work. Students are also strongly encouraged to learn to teach each other - this being one of the key skills required for multidisciplinary research.