Unit information: Data Analytics and Modelling in Health in 2021/22

Unit name	Data Analytics and Modelling in Health
Unit code	EMATM0046
Credit points	10
Level of study	M/7
Teaching block(s)	Teaching Block 2 (weeks 13 - 24)
Unit director	Dr. Zheng
Open unit status	Not open
Pre-requisites	None
Co-requisites	None
School/department	School of Engineering Mathematics and Technology
Faculty	Faculty of Engineering

Description including Unit Aims

The aim of this unit is to allow students to acquire fundamental skills covering the full data science pipeline, including pre-processing, manipulation, integration, storage, modelling, exploration, visualisation and privacy.

Unit content:

• Data ingress and pre-processing.
• Data storage and data management
• Data transformation and integration. 

• Data exploration, modelling and visualization. 

• An introduction to concepts of data sharing, privacy and anonymization.

Intended Learning Outcomes

Having completed this unit, the student is expected to:

1. Explain basic processes relating to data analytics and modelling.
2. Apply and use practical data science skills, applied to health and care problems.
3. Experiment with using software tools for data analytics.
4. Illustrate the differences between different visualisation strategies.
5. Critique and compare data science pipelines
6. Present and interpret data to/for a non-technical audience.
7. Be able to share data under anonymisation constraints.

Teaching Information

This unit will be made up of a combination of taught lectures and Q&A sessions.

Assessment Information

Group project suggested by health care stakeholders that demonstrates the full data analysis pipeline for a particular dataset, including a discussion of possible alternative approaches at each step.

• 1 x Report (100%)

Resources

If this unit has a Resource List, you will normally find a link to it in the Blackboard area for the unit. Sometimes there will be a separate link for each weekly topic.

If you are unable to access a list through Blackboard, you can also find it via the Resource Lists homepage. Search for the list by the unit name or code (e.g. EMATM0046).

How much time the unit requires
Each credit equates to 10 hours of total student input. For example a 20 credit unit will take you 200 hours of study to complete. Your total learning time is made up of contact time, directed learning tasks, independent learning and assessment activity.

See the Faculty workload statement relating to this unit for more information.

Assessment
The Board of Examiners will consider all cases where students have failed or not completed the assessments required for credit. The Board considers each student's outcomes across all the units which contribute to each year's programme of study. If you have self-certificated your absence from an assessment, you will normally be required to complete it the next time it runs (this is usually in the next assessment period).
The Board of Examiners will take into account any extenuating circumstances and operates within the Regulations and Code of Practice for Taught Programmes.