University Courses

To work as a medical statistician, most companies require at least an MSc in Statistics, or an MSc with a significant statistical component, or a relevant subject. To work as a statistical programmer, most companies require at least a BSc in Mathematics or Statistics or a relevant subject.  Exact educational requirements can vary by company, so we would always recommend checking the job description for each role to confirm what qualifications are required.

Please find some below some useful links for finding out about university courses:


Before doing an MSc, you will need to complete an undergraduate degree. Consider searching for BSc degrees in “Mathematics” or “Statistics” or similar subject areas e.g. a combined degree.  It is also worth considering whether the course offers the opportunity to do a placement year. For more information about student placements click here.

The following websites are good places to start your search:



Consider searching for MSc degrees in “Statistics” or “Medical Statistics” or similar subject areas e.g. biostatistics, applied statistics or statistics with medical applications. 

The following websites are good places to start your search:

EventsFuture Events

  • A PSI Training Course on Improving Influence and Increasing Impact: Communication Skills for Industry Statisticians - Dates: 16 – 16 Sep, 2019

    This 1-day course will lead participants, in a non-threatening and encouraging atmosphere through steps to focus on improving the key skills of making impactful verbal and written communications.
  • PSI Webinar: Adaptive design: updated draft FDA guidance and its implications - Dates: 04 – 04 Jul, 2019

    In September 2018 the FDA published a guidance on adaptive design for clinical trials of drugs and biologics, updating (not finalizing) its initial draft from February 2010. The main focus of the webinar will be to provide an overview of its main contents, which will be presented by Jürgen Hummel (PPD). In addition, Kaspar Rufibach (Roche) will introduce an open-source statistical software for adaptive designs, RPACT (an R package that enables the design and analysis of confirmatory adaptive clinical trials). Kit Roes will also comment on the guidance from a European Regulatory perspective, which will be followed by a brief panel discussion.
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Statistics and Statistical Programming Opportunities at MSD


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Statistics at Costello Medical


Pharm Research Associates

Principal Biostatistician


Autolus Therapeutics

Head of Statistical and Data Innovation as Head of Biometrics



Statistician Opportunities in the UK