2:i undergraduate degree (or equivalent) in a related subject, subject to interview.

This course is only available as part of the Analytical Science Centre for Doctoral Training (AS CDT).

• Band A
• IELTS overall score of 6.5, minimum component scores not below 6.0

There are no additional entry requirements for this course.

Statistics for Data Analysis

The aim of this module is to give students a basic understanding of the statistical methods appropriate to data analysis in analytical science, and to provide guidance on some statistical tools for more advanced study. Topics include: basic probability; error analysis and calibration; summarising data and testing simple hypotheses; statistical computing (software and practice, including simple graphics); experimental design and analysis of variance; sampling methods and quality control; simple analysis of multivariate data. Each session will combine lecture and data analysis workshop. At the end of the course the student should be able to appreciate the added value that statistical analysis can bring to research to perform basic statistical analyses of simple data sets using statistical software to design simple experiments.

Techniques in Quantitative and Qualitative Analysis

This module will introduce practical fundamentals of qualitative and quantitative analysis. We will consider practical aspects of sampling and calibration techniques. The laboratory sessions will include quantitative analyses using volumetry, gravimetry, UV/Visible spectroscopy, and state-of-the art inductively coupled plasma spectroscopy (ICP) techniques (OES and MS).

Frontier Techniques for Analytical Science

This module introduces students from a range of different backgrounds to advanced analytical techniques. To ensure students appreciate the links between need for measurement, instrumentation design, data quality and data analysis.

Microscopy and Imaging

This module provides a foundation in the principles and applications of microscopy, starting with basics of light microscopy and progressing to state of the art confocal microscopy, electron microscopy and scanned probe microscopy. The latter includes atomic force microscopy and electrochemical imaging techniques for which Warwick is particularly well-known. The module includes workshops on image analysis and seminars that cover the most recent developments in the field.

Transferable Skills

2 × 11-week Research Projects

• Introduction to Chemistry and Biochemistry
• Electrochemistry and Sensors
• Mass Spectrometry
• Chromatography and Separation Science
• Magnetic Resonance
• X-ray and Neutron Techniques

The first 25 weeks are lecture-based, providing you with a diverse range of skills in analytical sciences to complete successfully two 10-week research projects in different disciplines.

Class sizes range between 5 to 40 students, dependent on module: some of which are shared across programmes.

You should expect to attend around 10-25 hours of lectures and workshops per week and spend approximately six hours on supervised practical (mainly laboratory) work. For each one-hour lecture, you should expect to put in additional time for private study.

Examined component (%): Taught modules are generally 50%.

Assessed by coursework component (%): Taught modules are generally 50%; research projects are assessed by a variety of assessment methods.

Reading lists

Most departments have reading lists available through Warwick Library. If you would like to view reading lists for the current cohort of students you can visit our Warwick Library web page.

Your timetable

Your personalised timetable will be complete when you are registered for all modules, compulsory and optional, and you have been allocated to your lectures, seminars and other small group classes. Your compulsory modules will be registered for you and you will be able to choose your optional modules when you join us.