Unit information: Analytical Data Analysis in 2027/28

Please note: Programme and unit information may change as the relevant academic field develops. We may also make changes to the structure of programmes and assessments to improve the student experience.

Unit name Analytical Data Analysis
Unit code CHEMM0045
Credit points 20
Level of study M/7
Teaching block(s) Teaching Block 1 (weeks 1 - 12)
Unit director Professor. Shallcross
Open unit status Not open
Units you must take before you take this one (pre-requisite units)

Core Environmental Analytical

Units you must take alongside this one (co-requisite units)

Advanced environmental analytical

Practical

Units you may not take alongside this one

None

School/department School of Chemistry
Faculty Faculty of Science

Unit Information

Why: Knowing what analysis technique to use is essential for analytical integrity.

Understanding the principles of advanced analysis techniques in analytical science is essential in environmental analysis.

How: This unit is compulsory for this MSc and provides tools and training using real data (setting the student up for future units) that prepare students for future units in this course.

Your learning on this unit

Students will have opportunities to work with a variety of real datasets, with different uncertainty levels, arising from different measurement techniques. Continuous and discrete data (with different statistical approaches) and sets of data on different timescales will be worked on in groups and individually with workshops being used to critique the approaches and improve understanding for all students.

ILOs

  • Use of the correct statistical analysis for a given dataset
  • Determine uncertainty of data obtained
  • Understand the importance of calibration
  • Understand the use of models to analyse data and what models to use

Students will be able to:

  • Analyse data.
  • Construct calibration curves
  • Evaluate the advantages and disadvantages of different analytical techniques
  • Use basic analytical techniques
  • Use models to carry out analysis of data
  • Develop programming skills to enhance data analysis

How you will learn

Taught sessions include, video, practical, tutorials (small groups), workshops, virtual learning tools.

How you will be assessed

This unit will be assessed by a MCQ test (pass/fail, threshold 50%)

Students will have ample opportunity to work through example MCQ tests, which will contain advanced calculations, testing of advanced knowledge and graphical interpretation.

Students can retake the test to obtain a pass. We will analyse results and work with students in areas where they may have struggled to ensure that they are well placed to carry on with the course.

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. CHEMM0045).

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 University Workload statement relating to this unit for more information.

Assessment
The assessment methods listed in this unit specification are designed to enable students to demonstrate the named learning outcomes (LOs). Where a disability prevents a student from undertaking a specific method of assessment, schools will make reasonable adjustments to support a student to demonstrate the LO by an alternative method or with additional resources.

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. For appropriate assessments, if you have self-certificated your absence, you will normally be required to complete it the next time it runs (for assessments at the end of TB1 and TB2 this is usually in the next re-assessment period).
The Board of Examiners will take into account any exceptional circumstances and operates within the Regulations and Code of Practice for Taught Programmes.