Writing a thesis - two part online course
Monday, 14 December 2020 to Monday, 02 August 2027, 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, 02 August 2027, 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.
Fundamentals of Statistical Software and Analysis (FoSSA)
Tuesday, 01 August 2023 to Monday, 02 August 2027, 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.
Transfer of status, online
Wednesday, 07 October 2026, 10am to 12.30pm
Helps first-year DPhil and research-master’s students understand, prepare for and successfully complete Oxford’s Transfer of Status milestone.
Supervising a Research Student at Oxford: Rules and Procedures, online
Thursday, 08 October 2026, 10am to 12.30pm
Explains Oxford’s regulatory and procedural framework for supervising DPhil and MSc by Research students, aimed particularly at newly appointed academics and early-career research staff taking on supervisory responsibility.
Confirmation of status, online
Friday, 09 October 2026, 10am to 11.30am
Provides guidance for DPhil students on preparing for and successfully completing Oxford’s Confirmation of Status milestone.
Preparation for a successful final DPhil viva, online
Monday, 12 October 2026, 10am to 12.30pm
Supports final-stage DPhil students before and after thesis submission, including examiner appointment, viva expectations, preparation strategies and handling the examination effectively.
Systems immunology: an intro to multi-omics data integration and machine learning, online
Tuesday, 13 October 2026 to Wednesday, 14 October 2026, 10am - 4pm
Uses machine-learning approaches to integrate biological or biomedical multi-omics datasets for systems-level analysis and knowledge discovery.
Intro to R for biologists, online
Monday, 19 October 2026 to Wednesday, 21 October 2026, 9.30am - 1pm
Introduces the R programming environment for participants with little or no programming experience, covering data import, reorganisation, basic statistics and plotting.
Principles of data visualisation and big data handling, online
Monday, 19 October 2026 to Wednesday, 21 October 2026, 9.30am - 12pm
Covers selecting suitable visualisations, figure design, colour and storytelling with data, together with practical data-wrangling approaches for datasets too large for basic manual handling.
Introduction to machine learning and deep learning in Python, online
Tuesday, 20 October 2026 to Friday, 23 October 2026, 10am - 1pm
A practical introduction to preparing biological data and applying machine-learning and deep-learning methods in Python, including classification, regression, feature selection and convolutional neural networks for image data.
Transfer of status, online
Tuesday, 20 October 2026, 10am to 12.30pm
Helps first-year DPhil and research-master’s students understand, prepare for and successfully complete Oxford’s Transfer of Status milestone.
Foundation Course in Qualitative Research, online
Thursday, 22 October 2026 to Friday, 23 October 2026, 9.30am - 11.30am
Introduces the planning and conduct of a qualitative study, making core qualitative-research concepts and methods accessible to researchers from qualitative or quantitative backgrounds.
Confirmation of status, online
Thursday, 22 October 2026, 10am to 11.30am
Provides guidance for DPhil students on preparing for and successfully completing Oxford’s Confirmation of Status milestone.
Image Analysis course with Fiji/ImageJ, online
Monday, 02 November 2026 to Friday, 06 November 2026, 9.30am - 12pm
Practical image-analysis training for researchers working with bright-field or fluorescence microscopy, using Fiji/ImageJ to process, quantify and interpret image data.
Data visualisation with ggplot2, online
Tuesday, 03 November 2026, 10am to 1pm
Develops existing R skills to produce clear, reproducible and publication-quality figures from biological or medical data using ggplot2.
How to be a milestone assessor and an internal examiner at Oxford, online
Tuesday, 03 November 2026, 10am to 12.30pm
Prepares research staff to act as transfer or confirmation assessors and as internal or external examiners for Oxford research degrees. It is intended for staff rather than students.
Experimental design and statistics in preclinical research: the good, the bad and the ugly, in person
Tuesday, 03 November 2026 to Thursday, 05 November 2026, 2pm - 5pm
Examines the principles and common weaknesses of preclinical experimental design, with emphasis on appropriate statistical thinking, reproducibility and reducing bias.
Preparation for a successful final DPhil viva, online
Thursday, 05 November 2026, 10am to 12.30pm
Supports final-stage DPhil students before and after thesis submission, including examiner appointment, viva expectations, preparation strategies and handling the examination effectively.
Intro to R for biologists, online
Monday, 09 November 2026 to Wednesday, 11 November 2026, 9.30am - 1pm
Introduces the R programming environment for participants with little or no programming experience, covering data import, reorganisation, basic statistics and plotting.