Master Classes

Python for Mathematics, Data Science, Engineering & Scientific Computing

Would you like to learn Python or strengthen your programming skills for mathematics, statistics, engineering and data analysis?

Python is one of the world's most popular programming languages and is widely used in Engineering, Data Science, Artificial Intelligence, Finance, Mathematics, Scientific Research and Industry. This six-week workshop series is designed to introduce students to Python through practical mathematical examples and real-world applications.

Whether you are completely new to programming or already have some coding experience, these workshops will help you develop confidence using Python to solve mathematical problems, analyse data, visualise results and build computational models.

Students studying Engineering, Mathematics, Computing, Data Science, Statistics, Psychology, Finance, Economics, Business and other quantitative disciplines will find these workshops particularly valuable.

Workshop Dates

• 9 October 2026
• 16 October 2026
• 23 October 2026
• 30 October 2026
• 6 November 2026
• 13 November 2026

Time: 11:30 am – 12:30 pm

Format: Live via Microsoft Teams

Topics Covered

Python programming fundamentals, variables, scripts, functions and mathematical operations; arithmetic calculations, percentages, growth calculations, unit conversions, prime numbers, factorisation, GCD and LCM; algebraic expressions, symbolic substitution, expansion and factorisation, solving linear and quadratic equations, systems of equations and complex numbers; descriptive statistics, probability, combinations, permutations, binomial and Poisson distributions, normal distributions, confidence intervals and hypothesis testing; graph sketching and visualisation using Matplotlib including line graphs, quadratic, cubic, reciprocal and exponential functions, scatter plots, histograms, box plots, cumulative frequency graphs, regression lines and probability distributions; linear algebra and vector mathematics including vectors, matrices, matrix multiplication, determinants, inverses, transformations and trigonometry; and advanced applications including Monte Carlo simulations, Markov models, bootstrap sampling, gradient descent optimisation, random walks and computational modelling. 

Why Attend?

• Learn Python from the ground up in a supportive environment.
• Develop practical coding skills that are highly sought after by employers.
• Improve confidence with mathematics, statistics, data analysis and scientific computing.
• Learn techniques useful for coursework, projects, dissertations and research.
• Gain experience with one of the most widely used programming languages in industry and academia.
• Explore topics used in Engineering, Data Science, Artificial Intelligence and Mathematical Modelling.
• Receive Python examples, notes and supporting workshop materials.

Who Should Attend?

This workshop is ideal for students studying Engineering, Mathematics, Computing, Data Science, Statistics, Economics, Finance, Business, Psychology and other quantitative subjects. It is suitable for complete beginners as well as students who already have some Python experience and would like to develop more advanced skills.

Participants may attend individual sessions or complete the full workshop series.

Reserve Your Place

Places are limited and registration is required.

For enquiries, contact maths@bournemouth.ac.uk

Serkan Karakus
Senior Maths Tutor
Bournemouth University

Registration is required. Limited spaces available.

To claim this activity towards your Employability Skills+ Award, please sign up to the programme using the Employability Skills Award Registration Form.