Cookies on this website

We use cookies to ensure that we give you the best experience on our website. If you click 'Accept all cookies' we'll assume that you are happy to receive all cookies and you won't see this message again. If you click 'Reject all non-essential cookies' only necessary cookies providing core functionality such as security, network management, and accessibility will be enabled. Click 'Find out more' for information on how to change your cookie settings.

Writing a thesis - two part online course

Monday, 14 December 2020 to Saturday, 01 August 2026, 9am - 9am

This interactive online MSD Skills training course complements 'Viva preparation' and is designed for those in the final or second to last year of their DPhil who are preparing to write their thesis. Part 1 has to be completed in Canvas before booking links for the optional live sessions are made available.

Writing a transfer report - two part online course

Monday, 14 December 2020 to Monday, 03 August 2026, 9am - 9am

This interactive online MSD Skills training course complements 'Transfer of status' and is most suitable for first-year DPhil students in their second or third term who are preparing to write their transfer report. First term DPhil students may find many of the exercises are not yet helpful. Part 1 has to be completed in Canvas before booking links for the optional live sessions are made available.

MSD PLTO

Wednesday, 30 June 2021 to Monday, 03 August 2026, 12am - 12pm

MSD’s Preparing for Learning and Teaching at Oxford (PLTO) has changed! You have the choice of attending specific teaching streams – ‘Taught Masters’ or ‘Tutorials’.

Fundamentals of Statistical Software and Analysis (FoSSA)

Tuesday, 01 August 2023 to Monday, 03 August 2026, 9am - 5pm

This MSD Skills training course consists of online pre-recorded videos and self-directed practical exercises arranged into 7 modules covering a wide range of statistical methods. All course content can be approached using the statistical programmes of R, Stata, or SPSS. Once registered with the course, all students are able to access content for whichever modules and statistical software programmes suit their needs. Each module contains approximately 2-hours of pre-recorded lecture material (split into short videos), one hour of practical content, readings in an online textbook and multiple choice quizzes.

Introduction to statistics, in person

Thursday, 13 November 2025 to Wednesday, 03 December 2025, 9.30am - 1pm

This MSD Skills training course consists of four half-day sessions, and is suitable for all MSD postgraduate research students and postdoctoral early career researchers using and interpreting statistical data.

Qualitative research made simple, online

Thursday, 13 November 2025 to Friday, 14 November 2025, 9.30am - 11.30am

Online interactive two day course suitable for Medical Sciences Division researchers who want to learn more about qualitative research with a view to conducting a qualitative research study. This course contains pre-work you will need to complete before each live session.

Transfer of status, online

Thursday, 13 November 2025, 10am to 12.30pm

This 2.5 hours interactive online MSD Skills training course is suitable for first year DPhil/MSc research students preparing for their first milestone; transfer of status.

How to make a success of your post-graduate research, online

Friday, 14 November 2025, 10am to 12pm

The ‘How to make a success of your post-graduate research studies (known previously as ‘How to work with your supervisor’) is an interactive online session suitable for MSD first year DPhil/MSc by research students.

Confirmation of status, online

Monday, 17 November 2025, 10am to 11.30am

This 1.5 hour workshops is aimed at MSD DPhil research students and will provide clear guidance and advice as how to successfully prepare and complete the process of Confirmation of Status.

Analysing biological data by model fitting in GraphPad Prism, online

Tuesday, 18 November 2025, 9.30am to 12pm

The course is suitable for all MSD postgraduate research students and early career researchers wanting to analyse and compare their biological data using model fitting. No prior statistical knowledge is required.

Planning, designing and critically appraising clinical research, online

Monday, 24 November 2025 to Tuesday, 02 December 2025, 1pm - 4pm

This live interactive online course consisting of two three hour sessions is suitable for all MSD postgraduate research students looking to plan and conduct plan and conduct reproducible clinical research projects.

Principles of data visualisation and big data handling, online

Wednesday, 26 November 2025 to Friday, 28 November 2025, 9.30am - 12pm

This three half-day interactive course will teach you how to effectively visualize and manage large datasets.

Systems immunology: an intro to multi-omics data integration and machine learning, online

Thursday, 27 November 2025 to Friday, 28 November 2025, 10am - 4pm

Planning to use machine learning to better understand your data? In this interactive course, we will learn how to use machine learning for biological and biomedical data integration and knowledge discovery.

Preparation for thesis submission and a successful final viva , online

Thursday, 27 November 2025, 10am to 12.30pm

This interactive online MSD Skills training course is most suitable for those in their third or fourth year of their DPhil preparing for their viva, with focuse on two main points. Part 1 - For those who haven’t submitted their theses or appointed their examiners. Part 2 – For those who are doing final prep for their vivas. (after the 15’ break). NOT for transfer viva or MSc taught student.

Image Analysis course with Fiji/ImageJ, online

Monday, 01 December 2025 to Friday, 05 December 2025, 9.30am - 12pm

This four half day online interactive sessions are suitable for all MSD postgraduate research students and postdoctoral early career researchers involved with bright field and fluorescence microscopy.

Data visualisation with ggplot2, online

Monday, 01 December 2025, 10am to 1pm

This interactive online MSD Skills training course is aimed at MSD postgraduate research students and staff with some programming experience in R who want to expand their skills to create publication quality figures from biological data.

How and why to undertake a systematic review, in person

Monday, 01 December 2025, 2pm to 4.30pm

This course is for MSD researchers and covers the principles of performing a systematic review and meta-analysis.

Writing a conference or journal article abstract, online

Wednesday, 03 December 2025, 2pm to 4pm

This course is suitable for all MSD postgraduate research students and early career researchers who have produced enough work to be able to draft their first conference abstract. This course contains pre-work you will need to complete on Canvas before the live session.

Developing your grant writing skills, in person

Thursday, 04 December 2025 to Wednesday, 17 December 2025, 10am - 4pm

This two-day in-person workshop will help you to understand how to: plan, develop, and structure your research proposal; turn your ideas into a well-written, strong and convincing proposal, and follow the Oxford grant submission process. It will be targeted at MSD researchers, especially early and mid-career researchers, who would like to develop their grant writing skills and who are planning to submit a grant or fellowship application. Please come prepared to discuss your project/fellowship ideas. Ideally, this should be on possible future work but if you are not quite at this stage, it could be on current work.

Introduction to machine learning and deep learning in Python, online

Friday, 05 December 2025 to Monday, 08 December 2025, 10am - 1.30pm

This course is a practical introduction to applying machine learning and deep learning algorithms on biological data using the Python programming language. Using a mixture of lectures and hands-on training, the participants will be taken through different steps of data processing, preparation and application of the machine learning techniques to solve various problems, with guidance from expert tutors. By the end of the course, the participants should be able to apply machine learning and deep learning techniques to tabular and image data.

Load More