Artificial Intelligence and Data Science Foundations (Online)
| Program start date | Application deadline |
| 2023-09-01 | 2023-07-09 |
| 2024-01-01 | 2023-11-26 |
Program Overview
Course overview
You learn through weekly pre-recorded content and tasks that you can work through at your own, supported by weekly session via Microsoft Teams. Your learning materials are available on the University's online learning platform.
This course is delivered online. Please check the entry requirements tab before making your application to ensure you meet the entry criteria and have all the minimum equipment necessary to take part.
Start dates
Group A - Starts Monday 5 June, Mondays and Wednesdays for four weeks, 6.00pm-9.00pm
Group B - Starts Monday 3 July, Mondays and Wednesdays for four weeks, 6.00pm-9.00pm
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Summer university
Start date: See dates above
Applications open early April. To receive a notification when applications open, please register your details
You can study up to 30 credits at Summer University and you can select up to three modules on the same application form. If you would like to add a module later, or change one of your choices, then please email summer.university@tees.ac.uk.
Age restriction
Due to the content and delivery of our Summer University courses, it is advised that applicants are aged 16+ at the time of enrolment. All applicants under the age of 18 at the time of enrolment must provide a completed parental consent form and those under 16 years of age are required to be accompanied by a parent or guardian. You can download the parental consent form and send to summer.university@tees.ac.uk after you submit your application.
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Where you study
This course is delivered online.
Program Outline
Course details
What you study
- AI/data science/data analytics/machine learning theory
- the analytics types
- capturing data
- data visualisation
- data cleansing
- exploratory data analysis
- data modelling
- machine learning models.
How you are assessed
100% in course assessment on a pass/fail basis.
You submit a portfolio containing research and practical work, demonstrating an understanding of AI and data science knowledge and skills. A full brief is provided at the start of the course.
