8588 modules
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CHEM1057 2025-26
Analytical Chemistry
Analytical Chemistry is a measurement science consisting of a set of powerful ideas and methods that provide qualitative or quantitative information about the chemical composition of a sample. Analytical measurements are required in a wide range of fields beyond the chemical industry such as biochemistry and the pharmaceutical industry, environmental sciences, forensic sciences, and the food industry amongst others. The module will provide an introduction into the fundamentals of chemical analysis, including an understanding of sample preparation, chromatographic separations, and some of the most important analytical techniques today, including IR, NMR, Raman and UV-visible spectroscopies, and mass spectrometry. -
CHEM1057 2026-27
Analytical Chemistry
Analytical Chemistry is a measurement science consisting of a set of powerful ideas and methods that provide qualitative or quantitative information about the chemical composition of a sample. Analytical measurements are required in a wide range of fields beyond the chemical industry such as biochemistry and the pharmaceutical industry, environmental sciences, forensic sciences, and the food industry amongst others. The module will provide an introduction into the fundamentals of chemical analysis, including an understanding of sample preparation, chromatographic separations, and some of the most important analytical techniques today, including IR, NMR, Raman and UV-visible spectroscopies, and mass spectrometry. -
CHEM1057 2027-28
Analytical Chemistry
Analytical Chemistry is a measurement science consisting of a set of powerful ideas and methods that provide qualitative or quantitative information about the chemical composition of a sample. Analytical measurements are required in a wide range of fields beyond the chemical industry such as biochemistry and the pharmaceutical industry, environmental sciences, forensic sciences, and the food industry amongst others. The module will provide an introduction into the fundamentals of chemical analysis, including an understanding of sample preparation, chromatographic separations, and some of the most important analytical techniques today, including IR, NMR, Raman and UV-visible spectroscopies, and mass spectrometry. -
CHEM1057 2028-29
Analytical Chemistry
Analytical Chemistry is a measurement science consisting of a set of powerful ideas and methods that provide qualitative or quantitative information about the chemical composition of a sample. Analytical measurements are required in a wide range of fields beyond the chemical industry such as biochemistry and the pharmaceutical industry, environmental sciences, forensic sciences, and the food industry amongst others. The module will provide an introduction into the fundamentals of chemical analysis, including an understanding of sample preparation, chromatographic separations, and some of the most important analytical techniques today, including IR, NMR, Raman and UV-visible spectroscopies, and mass spectrometry. -
MATH6119 2027-28
Analytical Consultancy Skills
The first case study is run by a company over one day and focuses on the modelling of a problem that is of current interest. The second case study runs over four days and requires a complex problem to be solved. The techniques used to tackle the problems may be drawn from many of the modules previously studied. The time constraints are such that good teamwork skills are needed to complete the work to a satisfactory standard by the deadline. -
MATH6119 2025-26
Analytical Consultancy Skills
The first case study is run by a company over one day and focuses on the modelling of a problem that is of current interest. The second case study runs over four days and requires a complex problem to be solved. The techniques used to tackle the problems may be drawn from many of the modules previously studied. The time constraints are such that good teamwork skills are needed to complete the work to a satisfactory standard by the deadline. -
MATH6119 2026-27
Analytical Consultancy Skills
The first case study is run by a company over one day and focuses on the modelling of a problem that is of current interest. The second case study runs over four days and requires a complex problem to be solved. The techniques used to tackle the problems may be drawn from many of the modules previously studied. The time constraints are such that good teamwork skills are needed to complete the work to a satisfactory standard by the deadline. -
MANG2043 2026-27
Analytics for Marketing
This module introduces some key concepts about the use of some basic statistical and analytical techniques within the marketing context. Students will learn through a combination of lectures, group work, practical (computer-lab) sessions (where needed), and self-study. After studying this module, students will be able to apply these techniques to analyse data in practice. -
MANG1040 2026-27
Analytics Implementation I: Spreadsheets and Databases
This course provides essential knowledge and skills required to support students’ future learning in future data analytic modules.
Without prerequisite knowledge in data analytics, this module will cover spreadsheet analytics and relational database tools used in many business cases.
The spreadsheet modelling includes an introduction to basic spreadsheet functions, moving onto a range of more complex functions and a variety of data manipulation methods, including producing appropriate graphs. Students will experience the range of what is possible within spreadsheets through learning specific techniques.
The relational database section starts with database modelling, database implementation, query execution and business problem solving using Structured query language (SQL). The focus will be on the underlying principles, modelling methodologies, and implementation using appropriate software packages. -
MANG1040 2025-26
Analytics Implementation I: Spreadsheets and Databases
This course provides essential knowledge and skills required to support students’ future learning in future data analytic modules.
Without prerequisite knowledge in data analytics, this module will cover spreadsheet analytics and relational database tools used in many business cases.
The spreadsheet modelling includes an introduction to basic spreadsheet functions, moving onto a range of more complex functions and a variety of data manipulation methods, including producing appropriate graphs. Students will experience the range of what is possible within spreadsheets through learning specific techniques.
The relational database section starts with database modelling, database implementation, query execution and business problem solving using Structured query language (SQL). The focus will be on the underlying principles, modelling methodologies, and implementation using appropriate software packages.