Comments about MSc-PGDip-PGCert by distance learning Industrial Data Modelling - Online
Allows busy professionals to develop/enhance work-related skills and knowledge The programme uses industrially relevant and up-to-date computer software Taught by experienced and enthusiastic staff who are involved in a wide range of ongoing research Substantially enhances career/research prospects The programme has no attendance requirement
Good Honours degree in a relevant discipline in science or engineering, with an aptitude for mathematics or statistics Students without academic qualifications but with extensive industry experience will be considered on an individual basis.
MSc/PGDip/PGCert by distance learning Industrial Data Modelling
Industrial data modelling is the application of statistical, mathematical and computing techniques to industrial problems. This programme considers the modelling, analysis and interpretation of data in industries associated with science, engineering and biomedicine. Developed in partnership with industry, the multi-disciplinary and practical approach ensures that the techniques considered are at the forefront of those required by industry. Modules include:
-Fundamentals of Mathematics and Statistics: The mathematical and statistical topics which underpin the programme
-Model Fitting and Calibration: This module examines the concept of selecting and fitting models to data
-Design and Analysis of Experiments: Designing experiments involving several factors and interactions, and analysing the subsequent data
-Multivariate Analysis ? Principal Components and Calibration: Investigates basic multivariate data analysis and calibration methods
-Classification, Partial Least Squares and Calibration: Classification techniques and multivariate prediction and calibration methods
-Research Issues and Methodology: This module details research-based echniques for the presentation and analysis of data
-Quality and Process Control: Considers quality assurance, quality control and process control methods
-Individual Project: The project requires an in-depth, industry-based project of interest to both the student and his/her company.
This programme is an excellent platform from which science or engineering practitioners/managers in industry can further their careers.