CPD courses in Data Analytics
Flexible, expert-led online distance learning
We currently offer courses from our online distance learning MSc in Data Analytics programme as individual continuing professional development (CPD).
Our courses are designed for part-time study, giving you the freedom to work at your own pace with access to rich interactive reading material and tutor-led videos.
The Statistics Group at the University of Glasgow is internationally renowned for its research excellence. Students benefit by learning from academics whose expertise covers data analysis from a wide range of applications.
Our fee per course is £834.
Our courses
| Course | Typical term | Duration |
|---|---|---|
| Uncertainty Assessment and Bayesian Computation | Sept - Dec | 12 weeks |
| Data Programming in Python | Sept - Dec | 12 weeks |
| R Programming | Sept - Dec | 11 weeks |
| Learning from Data | Jan - Mar | 11 weeks |
| Predictive Modelling | Jan - Mar | 11 weeks |
| Data Mining and Machine Learning II - Big Data and Unstructured Data | Apr - Jul | 11 weeks |
| Large-scale Computing for Data Analytics | Apr - Jul | 11 weeks |
| Advanced Predictive Models | Apr - Jul | 11 weeks |
| Data Mining and Machine Learning I - Supervised and Unsupervised Learning | Apr - Jul | 11 weeks |
Courses are offered subject to demand and may be capped. Dates and deadlines are confirmed during the application process.
Book a course
Click on the course you want to take and select the 'Book now' option on the course page.
Contact
If you have questions about courses or the application process, email: maths-stats-analyticscpd@glasgow.ac.uk
Register your interest in CPD
Key information
Explore further information about our entry requirements, application process and more below.
Entry requirements
Each course description lists prerequisite knowledge you need to have in order to benefit from the course. It is your responsibility to ensure you have this knowledge. We will not check, and admission to a course does not imply your prior knowledge is sufficient.
Application process
To register, select the ‘Book Now’ option next to your chosen course name. Deadlines apply for each course. Once you have completed the registration form, you will receive an email with information on how to secure your place.
Canceling your course(s)
You can choose to cancel your course(s) at least one week before the start date. Please refer to our refund policy (see the section on 'Online Learning - Pay by course option').
For credit vs not for credit
Our courses can be taken for credit or not for credit unless otherwise stated. Take a look at the table below to find out the main differences between these two options.
| For credit | Not for credit | |
|---|---|---|
| Access to course material | Yes | Yes |
| Access to live sessions / one-to-one tutor support | Yes | Yes |
| Assessments | Summative assessments. 75% must be completed to qualify for award credit. | No summative assessments |
| Certificate | Higher Education Achievement Report (HEAR) | Attendance certificate |
| Fee | £834 per course (10 credits) | £834 per course |
Hardware & software requirements
- Computer with internet connection
- Up-to-date web browser (Chrome, Firefox, Safari, IE, or Edge)
- PDF reader (e.g. Acrobat Reader)
- Zoom installed for videoconferencing (headset recommended)
- R and/or Python installed (or use free cloud services: RStudio Cloud / Google Colab)