Pandemic Data Science

Overview

Data science has played a prominent and significant role in response to the COVID-19 pandemic. Mathematical modellers and data scientists joined virologists, public health professional and policy makers to confront the pandemic using methods that did not exist for previous generations. In recent years, the value of big-data has become increasingly appreciated across all sectors of industry, academia and society. The COVID-19 pandemic revealed to the wider world - that in the modern era - data is an exceedingly valuable commodity. Data-driven insights during the COVID-19 pandemic have played critical roles in understanding and responding to the pandemic. Moreover, data science will continue to be important beyond this pandemic in our preparedness for any future disease outbreaks. 

This course aims to introduce students to the analytical approaches, successes and challenges experienced by the data science and artificial intelligence community during the COVID-19 pandemic. Students will gain experience of how data science has impacted key decisions and policy in response to the pandemic, from epidemiological modelling through to vaccination strategies.   


This course combines online study with a weekly 1-hour live webinar led by your tutor. Find out more about how our short online courses are taught.


Programme details

This course begins on the 16 Apr 2026 which is when course materials are made available to students. Students should study these materials in advance of the first live meeting which will be held on 23 Apr 2026, 4:00-5:00pm (UK time).

Week 1: Pandemic preparedness and identification of “disease X”

Week 2: Mathematical modelling and prediction of infectious disease epidemiology

Week 3: Genetic and non-genetic COVID-19 risk factor identification

Week 4: COVID-19 therapeutic clinical trials

Week 5: Vaccine platform technologies and COVID-19 vaccine design

Week 6: COVID-19 vaccine efficacy studies

Week 7: Viral sequencing and variants of concern identification

Week 8: Biomarker identification in infectious diseases

Week 9: Systems immunology and systems vaccinology

Week 10: Artificial intelligence and data science in the context of COVID-19

Certification

Credit Application Transfer Scheme (CATS) points 

Coursework is an integral part of all online courses and everyone enrolled will be expected to do coursework. All those enrolled on an online courses are registered for credit and will be awarded CATS points for completing work at the required standard.

See more information on CATS points

Digital credentials

All students who pass their final assignment will be eligible for a digital Certificate of Completion. Upon successful completion, you will receive a link to download a University of Oxford digital certificate. Information on how to access this digital certificate will be emailed to you after the end of the course. The certificate will show your name, the course title and the dates of the course you attended. You will be able to download your certificate or share it on social media if you choose to do so. 

Please note that assignments are not graded but are marked either pass or fail. 

Fees

Description Costs
Course Fee £360.00

Funding

If you are in receipt of a UK state benefit, you are a full-time student in the UK or a student on a low income, you may be eligible for a reduction of 50% of tuition fees. Please see the below link for full details:

Concessionary fees for short courses

Tutor

Prof Daniel O'Connor

Daniel is an Associate Professor within the Oxford Vaccine Group, University of Oxford. Daniel's research interests relate to the analysis of contemporary, high-dimensional datasets (e.g., genomic, transcriptomic, proteomic) to elucidate the molecular determinants of immune responses to vaccines and infectious diseases.

Course aims

  • Basic understanding of current pandemic preparedness strategies.
  • Familiarity with data science, machine learning & artificial intelligence.
  • Insights into the use of data science in infectious disease and vaccine research.

Teaching methods

Learning takes place on a weekly schedule. At the start of each weekly unit, students are provided with learning materials on our online platform, including one hour of pre-recorded video, often supplemented by guided readings and educational resources. These learning materials prepare students for a one-hour live webinar with an expert tutor at the end of each weekly unit which they attend in small groups. Webinars are held on Microsoft Teams, and provide the opportunity for students to respond to discussion prompts and ask questions. The blend of weekly learning materials that can be worked through flexibly, together with a live meeting with a tutor and their peers, maximise learning and engagement through interaction in a friendly, supportive environment.

Learning outcomes

By the end of the course students will be expected to:

  • have basic understanding of how data science has impacted the response to the COVID-19 pandemic;
  • to have basic understanding of how data science will inform preparedness strategies for any future pandemics.

Assessment methods

You will be set independent formative and summative work for this course. Formative work will be submitted for informal assessment and feedback from your tutor, but has no impact on your final grade. The summative work will be formally assessed as pass or fail.

Application

Please use the 'Book' or 'Apply' button on this page. Alternatively, please complete an Enrolment form for short courses | Oxford University Department for Continuing Education

Level and demands

The course will provide a broad and accessible content. However, an in-depth understanding of the concepts provided would require further learning.  

The Department's short online courses are taught at FHEQ Level 4, i.e. first year undergraduate level. FHEQ level 4 courses require approximately 10 hours study per week, therefore a total of about 100 study hours.

English Language Requirements

We do not insist that applicants hold an English language certification, but warn that they may be at a disadvantage if their language skills are not of a comparable level to those qualifications listed on our website. If you are confident in your proficiency, please feel free to enrol. For more information regarding English language requirements please follow this link: https://www.conted.ox.ac.uk/about/english-language-requirements