Skip to main content
Short courses & CPD
Demystifying Maths & Statistics for Bioscientists

Demystifying Maths & Statistics for Bioscientists

Learn the essential mathematical principles and statistical theories that equip you as a research student or industrial practitioner with the tools to make an instant impact in your respective field.

 

5 days

 
  • Note: For a limited time, enjoy a 50% discount on this programme as part of our partnership with the RESILIENCE Centre of Excellence for UK Medicines Manufacturing Skills.
 

Course overview

This course is designed for all bioscientists with familiarity of mathematics (at least A-level) and individuals working in research or industry (engineers, operators, process development scientists, managers) looking to increase their knowledge of maths and statistical methods.

Why should you study this course?

  • Industry relevance: Benefit your learning experience on a course delivered in partnership with the Biotechnology and Biological Sciences Research Council (BBSRC) and Newcastle University.
  • Enhance knowledge: Build on the foundations you gained at an undergraduate level and demonstrate the real-world applications of maths and statistics both in research and industry.
  • Cutting-edge learning: Scientific and industrial context-based material allow you to appreciate data sources and the reasoning behind the specific mathematical and statistical approaches used.
  • Practical implementation: Reinforce your knowledge and deepen your understanding of various methods and your industrial and/or scientific relevance through case studies and practical examples.

Download pdf

 

Course details

What you study

Topics covered:

- Industrial and scientific demands
- Data characteristics
- Data analysis (exploratory, multivariate, spectral)
- Design of experiments
- Statistical process control
- Advanced analytical methods and big data
- Synthetic biology considerations
- Future sector challenges

How you learn

You cover essential mathematical principles and statistical theories with real-world applications in research and industry, reinforced by case studies and practical examples.

How you are assessed

No assessment required.

 

Entry requirements

Entry requirements

At least A-level mathematics.

 

Employability

Career opportunities

Research and Development
Data Analysis
Process Engineering
Quality Control
Industrial Biotechnology

 
 

Part-time

2025-26 entry

Fee for applicants:

£300 (students), £1100 (industrial participants)

  • Length: 5 days
  • Start date: 27 January 2025

Enquire now

 

Get in touch

 
Go to top menu