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 three-day online statistical course provides a detailed foundation of the methods and principles for meta-analysis when IPD (Individual Participant Data) are availble from multiple related studies. 

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

Adult Learning Theory & its Application to Multidisciplinary Healthcare Simulation Learn & Teach (Oct - Nov)

Non credit version

Teaching Dates:

Monday 20th - Wednesday 22nd October

Tuesday 18th - Wednesday 19th November 

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

Respiratory Medicine in the Community (Sept - Feb)

Non Credit Version

Teaching dates:

13th, 14th, 28th, 29th and 30th October 2026

3rd, 4th, 11th, 17th, 24th, 26th November 2026

8th December 2026

Allergy (May)

Non Credit Version

Teaching Dates:

6th - 8th May 2026

12th June 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

Cellular and molecular basis of cancer (Oct)

Non Credit Version

Teaching dates:

6th - 10th, 13th, 15th, and 27th October 2025

Molecular Pathology in Stratified cancer Medicine (Oct)

Non Credit Version 

Teaching dates:

20th - 23rd October 2025

17th November 2025

Radiation Biology (Nov)

Non Credit Version

Teaching dates:

11th - 14th November 2025

Palliative care and Cancer Patients (May)

Non Credit Version

Teaching dates:

11th - 15th May 2026

Chronic Disease Management (Oct - Nov)

Non Credit Version

Teaching dates:

9th, 10th, 23rd, 2th October, 6th, 7th November 2025

Principles of Paediatric Palliative Care for Children and Young People (Sep 2025 - Jan 2026)

Non Credit Version

Attendance dates: 

Project Management and Research Governance (Nov- March)

Non Credit Version

Teaching dates:

26th November 2025

28th January 2026

18th March 2026

Mixed Methods Research Designs (Mar)

Non Credit Version

Teaching dates:

w/c 16th march 2026

Assessment days:

5th, 6th May 2026

Quantitative Methods in Healthcare (Nov - Dec)

Non Credit Version

Teaching dates:

29th October 2025

5th, 12th, 19th November 2025

3rd December 2025

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 educational event covers an unmet need on dedicated courses on adrenal tumours in endocrinology (this year, it will cover adrenocortical carcinoma). The attendees will gain knowledge on these topics and on the relevant research findings of those delivering the course.

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.

This on-line event is for trainees and consultants in endocrinology and other relevant specialities and aims to enhance knowledge on the diagnosis and management of common and rare endocrine cancers, including thyroid, adrenal, phaeochromocytomas/paragangliomas, parathyroid and pituitary. An overview on the hypercalcaemia due to malignancy will also be discussed.

Approval for CPD points by the Royal College of Physicians has been requested.

The content will be made available for 30 DAYS ONLY after the live session, and you can access this through the log in information sent to you via e-mail prior to the start date.

Despite their many benefits, IPD meta-analyses of randomised trials are challenging, time consuming, and require a broad set of methods and skills. This two-day online course uses a combination of talks, interactive activities, external speakers, and one-to-one ‘meet the expert sessions’ to improve your knowledge and skills in the design and practical delivery of IPD meta-analysis projects. It covers the steps involved and will help you decide whether an IPD meta-analysis is likely to be worth the investment. Whilst examples focus on clinical trials, the course will also be relevant for other types of IPD meta-analyses.