8498 modules
Page 630
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MANG1043 2025-26
Predictive Analytics I: Regression and combinatorial techniques
Predictive modelling offers a lot of benefits to organisations: it can help them to improve their business decisions and which in turn will have a huge impact on their business and its profits. As a result, there is a huge demand for persons with predictive modelling skills in various organisations across the globe. In this module, you will learn techniques to determine patterns and to make predictions about future trends from the data, including regression modelling, clustering analysis and Principal Component Analysis (PCA). -
MANG2091 2026-27
Predictive Analytics II: Business Forecasting
This course provides part of the essential knowledge and skills required for conducting the Final Project module in the final year.
Forecasting is the process of making statements about events whose actual outcomes (typically) have not yet been observed. A commonplace example might be estimation of some variable of interest at some specified future date. This module gives you a thorough understanding of various statistical methods for forecasting, in particular time-series methods that have wide applications in business.
Risk and uncertainty are central to forecasting and prediction; it is generally considered good practice to indicate the degree of uncertainty attaching to forecasts, and sometimes it is necessary to provide distributional rather than point forecasts. As such, an introduction to methods for distributional forecasting will also be provided.
As forecasting often requires huge amount of data, both for training and testing the models, and the required formulae and equations are often complicated, it is essential to implement forecasting methods using a proper statistical package. As such training will be provided on using statistical software package for implementing forecasting methods. -
MANG2091 2027-28
Predictive Analytics II: Business Forecasting
This course provides part of the essential knowledge and skills required for conducting the Final Project module in the final year.
Forecasting is the process of making statements about events whose actual outcomes (typically) have not yet been observed. A commonplace example might be estimation of some variable of interest at some specified future date. This module gives you a thorough understanding of various statistical methods for forecasting, in particular time-series methods that have wide applications in business.
Risk and uncertainty are central to forecasting and prediction; it is generally considered good practice to indicate the degree of uncertainty attaching to forecasts, and sometimes it is necessary to provide distributional rather than point forecasts. As such, an introduction to methods for distributional forecasting will also be provided.
As forecasting often requires huge amount of data, both for training and testing the models, and the required formulae and equations are often complicated, it is essential to implement forecasting methods using a proper statistical package. As such training will be provided on using statistical software package for implementing forecasting methods. -
ECON6067 2025-26
Preliminary Mathematics and Statistics
This two week intensive course is designed to ensure that students who start postgraduate programmes in Economics will have the skills in mathematics and statistics needed for their subsequent modules. The course has two components, statistics and mathematics, and these are taught in parallel. The module concludes with a test anabling students to reflect on their preparedness for their respective programme. However, this module does not carry any credits, so that the test mark will not affect the final course mark. -
ECON6067 2026-27
Preliminary Mathematics and Statistics
This two week intensive course is designed to ensure that students who start postgraduate programmes in Economics will have the skills in mathematics and statistics needed for their subsequent modules. The course has two components, statistics and mathematics, and these are taught in parallel. The module concludes with a test anabling students to reflect on their preparedness for their respective programme. However, this module does not carry any credits, so that the test mark will not affect the final course mark. -
ECON6067 2029-30
Preliminary Mathematics and Statistics
This two week intensive course is designed to ensure that students who start postgraduate programmes in Economics will have the skills in mathematics and statistics needed for their subsequent modules. The course has two components, statistics and mathematics, and these are taught in parallel. The module concludes with a test anabling students to reflect on their preparedness for their respective programme. However, this module does not carry any credits, so that the test mark will not affect the final course mark. -
ECON6067 2028-29
Preliminary Mathematics and Statistics
This two week intensive course is designed to ensure that students who start postgraduate programmes in Economics will have the skills in mathematics and statistics needed for their subsequent modules. The course has two components, statistics and mathematics, and these are taught in parallel. The module concludes with a test anabling students to reflect on their preparedness for their respective programme. However, this module does not carry any credits, so that the test mark will not affect the final course mark. -
MUSI6047 2025-26
Preparation for Final Project
This module will bring the general skills learned in the first semester to bear on the preparation of an individual research project. You will also assemble a significant portion of your Final Project materials prior to writing up.
This module consists of a programme of plenary lectures and small group supervisions that support research leading towards the Final Project. -
MUSI6047 2026-27
Preparation for Final Project
This module will bring the general skills learned in the first semester to bear on the preparation of an individual research project. You will also assemble a significant portion of your Final Project materials prior to writing up.
This module consists of a programme of plenary lectures and small group supervisions that support research leading towards the Final Project. -
LANG2010 2027-28
Preparation for your Third Year (Abroad)
This module was co-designed by LCL students and staff, and it is aimed at preparing participants for a period of cultural immersion (abroad) in their third year.
Participants will be informed about the third-year assessment, Residence Abroad Portfolio (RAP), and clarify the links between their RAP and specific teaching and learning experiences taking place in years two and four.