This 2-day course will provide a detailed understanding of the importance of PROs in clinical trials and best practices for their selection and successful incorporation into a trial. The course will also consider the capture of PROs, their analysis and reporting and how their impact on clinical practice can be maximised.

This online course provides a thorough foundation of statistical methods for developing and validating risk prediction and prognostic models in healthcare research. 

This 2-day programme will focus on the management of trials from the perspective of the Principal Investigator and the site delivery team. 

This 3-day Face - to - face course in research methods for clinical trials organised by the Birmingham Centre for Clinical Trials (BCCT) provides an overview of the research process from idea and design to analysis and publication.  This programme will be designed to combine the theoretical aspects of trial design and delivery with opportunities to apply knowledge to practice.

This course is targeted towards Clinical Oncology Registrars working towards passing the Physics module of the FRCR Oncology Part 1. It can also be used by trainee Consultant Therapeutic Radiographers and other staff groups (within Clinical Oncology specialty) who may have an interest.

The key learning outcomes are to gain an understanding of:

• The interaction of ionising radiation with matter
• How a desired dose distribution is produced, calculated and quality assured
• How the dose of unintended radiation can be minimised for patients and staff

Human Factors in Healthcare (Feb)

Non Credit Version

Teaching Dates: 

9th - 11th February 2026

Respiratory Medicine in Secondary Care (Feb – May)

Non credit version

Teaching Dates:

2nd, 9th, 16th, 23rd February 2026

2nd, 9th, 16th, 23rd March 2026

19th May 2026

Allergy (May)

Non Credit Version

Teaching Dates:

6th - 8th May 2026

12th June 2026

Systematic Reviews and Evidence Synthesis (Nov - Dec)

Non Credit Version

Week 1: 24th - 28th November 2025

Week 2: 8th - 12th December 2025

Qualitative Research Methods (June)

Non Credit Version

Teaching Dates - 8th - 12th June 2026

Advanced Statistical Methods (Jan)

Non Credit Version

Teaching dates - 19th - 23rd January 2026

Tourettes Syndrome (Jan 2026)

Non Credit Version

Teaching dates - 20th - 22nd January 2026

Haemato-oncology (Feb - March)

Non Credit Version

Teaching dates:

2nd - 5th Feb 2026

Perioperative management of oncology patients undergoing surgery (June)

Non Credit Version

Teaching Dates:

8th - 11th June 2026

Palliative care and Cancer Patients (May)

Non Credit Version

Teaching dates:

11th - 15th May 2026

Mixed Methods Research Designs (Mar)

Non Credit Version

Teaching dates:

w/c 16th march 2026

Assessment days:

5th, 6th May 2026

Please use this link to provide us with your details so that we can generate you an invoice. Please also send a copy of the purchase order (pdf format) to mdscpdenquiries@contacts.bham.ac.uk

Non Credit Version (Dec - Feb)

Teaching Dates:

1st - 5th December 2025

This short 3-day or 5-day on-line course will provide training in the design, conduct and analysis of cluster randomized trials (CRTs) and stepped-wedge cluster randomized trials (SW-CRTs). Delivered by faculty of the University of Birmingham including Karla Hemming, Sam Watson and James Martin. With guest speaker Anges Caille (INSERM, France) who will give an overview of the bias issues raised by cluster randomised trials.

On this course you will learn how to appraise existing evidence about AI health technologies and how to generate local evidence to support decision-making in a specific setting. You will also gain an understanding of the different forms of risk that AI health technologies pose for healthcare providers and the principles and practicalities that influence how those risks are managed.

Best practices in these key areas are emerging, with limited capabilities across many UK and global healthcare providers. Because of the interdisciplinarity and novelty of the challenges posed by AI governance and evaluation in healthcare, this course is accessible for a wide range of applicants. This practice-oriented module is grounded in the faculty’s recent or active research in the UK, US and elsewhere. You will develop competencies that enable you to bring organisations up to date to efficiently deliver safe, effective and fair AI-enabled healthcare.

This introductory course aims to orientate you to the regulatory landscape in which healthcare technologies sit. This will include an introduction to relevant regulatory bodies and their scope, the classification systems applied to healthcare technologies and the standards and processes which are used to evaluate these technologies across their lifecycle. These insights will enable you to understand the demands of regulations upon manufacturers and adopters as they plan their innovation activities. Students will also develop the foundation for further training in standards auditing and other professional roles in healthcare quality.

A key component of this module is the focus on Software as a Medical Device (SaMD) and AI as a Medical Device (AIaMD). Supported by a range of international guest speakers from policy and industry, the content will reflect the latest trends and regulatory updates in these rapidly evolving areas, not only helping you to understand existing frameworks but also to anticipate changes in regulations as technologies advance. This will provide students an up-to-date understanding of rapidly evolving regulations in technologies attracting global investment and interest.

The Evaluating Medical Tests is a 3-day online course designed for researchers seeking to apply robust methods in diagnostic test evaluation. Learn how to evaluate test variability, test accuracy and clinical impact. Explore the role of tests in screening, monitoring and diagnosis and gain insights into study designs and patient pathways.