Learn in-demand technical skills and their workplace applications in this applied machine learning short course.
This short course is not suitable for those who studied the University of Stirling's Data Analytics short course in 2021.
Self-funded applicants with a minimum of a second-class Honours degree or equivalent are also welcome to apply.
English language requirements
If English is not your first language you must have one of the following qualifications as evidence of your English language skills:
- IELTS Academic or UKVI 6.0 with a minimum of 5.5 in each sub-skill.
- Pearson Test of English (Academic) 60 overall with a minimum of 59 in each sub-skill.
- IBT TOEFL 78 overall with a minimum of 17 in listening, 18 in reading, 20 in speaking and 17 in writing.
See our information on English language requirements for more details on the language tests we accept and options to waive these requirements.
All SFC funded places have now been allocated. However, we are still welcoming applications from self-funded candidates.
You will learn how to apply machine learning to business and scientific applications. Both the practical aspects of the correct methodology and the theoretic underpinnings are covered so that you know what to do and why you are doing it.
At the end of the short course, you should be able to identify the business objectives that can be addressed using data analytics, apply the correct methodology to address them, and report the results to the rest of the business.
If you can program, you can conduct the exercises in Python. Otherwise, you can use a graphical user interface, which requires no programming at all.
Structure and content
The main topics on the short course are:
Data mining industry standards
- CRISP-DM and how to apply it
- Running a data-driven project and reporting results
The theory of statistical machine learning
- Train / Validate / Test best practice
- The bias-variance trade-off
- Cost minimisation and regularisation
- Linear and Logistic Regression
- Decision Trees
- Clustering Algorithms
- Neural networks
Delivery and assessment
The content is delivered online with recorded videos, exercises and written notes. The assessment involves a practical assignment designed to replicate the type of commercial data analytics project you could expect to carry out in a data analytics role.
The skills taught in this short course are in high demand and salaries are also high. The short course is designed to teach you the skills and know-how you will need in an analytics role.