8596 modules
Page 585
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SSPC6909 2026-27
Opening the Machine Learning black box
The module aims to equip you with the necessary foundations to make sense of machine learning applications which may appear as block boxes without such understandings. -
SSPC6909 2025-26
Opening the Machine Learning black box
The module aims to equip you with the necessary foundations to make sense of machine learning applications which may appear as block boxes without such understandings. -
MUSI3124 2027-28
Opera and Musical Theatre in Europe (1600-1750): The Birth of Multimedia Entertainment
This module introduces you to operatic and musical-theatrical entertainments produced in Italy, France, Spain and England between 1600 and 1750 and investigates the ways in which their multimedia nature functioned in these diverse milieu. -
MUSI3124 2028-29
Opera and Musical Theatre in Europe (1600-1750): The Birth of Multimedia Entertainment
This module introduces you to operatic and musical-theatrical entertainments produced in Italy, France, Spain and England between 1600 and 1750 and investigates the ways in which their multimedia nature functioned in these diverse milieu. -
MATH3081 2027-28
Operational Research
The module introduces the operational research approach for modelling and solving engineering and management problems. -
MATH3081 2028-29
Operational Research
The module introduces the operational research approach for modelling and solving engineering and management problems. -
MATH6185 2025-26
Operational Research and Data Science Case Study 1
This module, alongside a second module Operational Research and Data Science Case Study 2, will form an option in Part II of MSc Operational Research, MSc Operational Research with Finance, and MSc Data and Decision Analytics. Both modules will have 30 CATS points (15 ECTS points).
The new modules together offer a more structured approach to project work, which will benefit a significant part of the student body. While the total available contact time for students is comparable to that of standard projects, it is shared rather than one-to-one. The workload for the case studies is also better spread out over the academic year, with much of the preparation taking place before the summer.
This module (Case Study 1) gives MSc OR/ORF/DDA students the opportunity to conduct and gain experience of an in-depth open-ended OR/Data Science investigation. The main purpose is to develop students’ skills in: identifying, organising, and directing their own work; accessing and using relevant resources, such as library and software resources; applying their OR and/or Data Science knowledge and understanding; and communicating their work, by writing a comprehensive report on the investigation and its outcomes. Case Study 1 is a primary means by which MSc OR/ORF/DDA students demonstrate their capacity for independent learning.
Students will normally undertake Case Study 1 over a six-week period in the early summer (typically, mid-June until end-July). There will normally be a choice of several topics for Case Study 1. Each case study topic will be partially structured, but open ended. Contact will be via a one-hour kickoff meeting with all students in the topic group, followed by a one-hour progress meeting with all students part way through the six-week period. Weekly office hours and computer programming support sessions will also be provided. Assessment will be by means of Case Study 1 report, of 25-30 pages in length, to be submitted at the end of the relevant six-week period. Case Study 1 will act as a stepping stone to Case Study 2. -
MATH6185 2026-27
Operational Research and Data Science Case Study 1
This module, alongside a second module Operational Research and Data Science Case Study 2, will form an option in Part II of MSc Operational Research, MSc Operational Research with Finance, and MSc Data and Decision Analytics. Both modules will have 30 CATS points (15 ECTS points).
The new modules together offer a more structured approach to project work, which will benefit a significant part of the student body. While the total available contact time for students is comparable to that of standard projects, it is shared rather than one-to-one. The workload for the case studies is also better spread out over the academic year, with much of the preparation taking place before the summer.
This module (Case Study 1) gives MSc OR/ORF/DDA students the opportunity to conduct and gain experience of an in-depth open-ended OR/Data Science investigation. The main purpose is to develop students’ skills in: identifying, organising, and directing their own work; accessing and using relevant resources, such as library and software resources; applying their OR and/or Data Science knowledge and understanding; and communicating their work, by writing a comprehensive report on the investigation and its outcomes. Case Study 1 is a primary means by which MSc OR/ORF/DDA students demonstrate their capacity for independent learning.
Students will normally undertake Case Study 1 over a six-week period in the early summer (typically, mid-June until end-July). There will normally be a choice of several topics for Case Study 1. Each case study topic will be partially structured, but open ended. Contact will be via a one-hour kickoff meeting with all students in the topic group, followed by a one-hour progress meeting with all students part way through the six-week period. Weekly office hours and computer programming support sessions will also be provided. Assessment will be by means of Case Study 1 report, of 25-30 pages in length, to be submitted at the end of the relevant six-week period. Case Study 1 will act as a stepping stone to Case Study 2. -
MATH6185 2027-28
Operational Research and Data Science Case Study 1
This module, alongside a second module Operational Research and Data Science Case Study 2, will form an option in Part II of MSc Operational Research, MSc Operational Research with Finance, and MSc Data and Decision Analytics. Both modules will have 30 CATS points (15 ECTS points).
The new modules together offer a more structured approach to project work, which will benefit a significant part of the student body. While the total available contact time for students is comparable to that of standard projects, it is shared rather than one-to-one. The workload for the case studies is also better spread out over the academic year, with much of the preparation taking place before the summer.
This module (Case Study 1) gives MSc OR/ORF/DDA students the opportunity to conduct and gain experience of an in-depth open-ended OR/Data Science investigation. The main purpose is to develop students’ skills in: identifying, organising, and directing their own work; accessing and using relevant resources, such as library and software resources; applying their OR and/or Data Science knowledge and understanding; and communicating their work, by writing a comprehensive report on the investigation and its outcomes. Case Study 1 is a primary means by which MSc OR/ORF/DDA students demonstrate their capacity for independent learning.
Students will normally undertake Case Study 1 over a six-week period in the early summer (typically, mid-June until end-July). There will normally be a choice of several topics for Case Study 1. Each case study topic will be partially structured, but open ended. Contact will be via a one-hour kickoff meeting with all students in the topic group, followed by a one-hour progress meeting with all students part way through the six-week period. Weekly office hours and computer programming support sessions will also be provided. Assessment will be by means of Case Study 1 report, of 25-30 pages in length, to be submitted at the end of the relevant six-week period. Case Study 1 will act as a stepping stone to Case Study 2. -
MATH6185 2028-29
Operational Research and Data Science Case Study 1
This module, alongside a second module Operational Research and Data Science Case Study 2, will form an option in Part II of MSc Operational Research, MSc Operational Research with Finance, and MSc Data and Decision Analytics. Both modules will have 30 CATS points (15 ECTS points).
The new modules together offer a more structured approach to project work, which will benefit a significant part of the student body. While the total available contact time for students is comparable to that of standard projects, it is shared rather than one-to-one. The workload for the case studies is also better spread out over the academic year, with much of the preparation taking place before the summer.
This module (Case Study 1) gives MSc OR/ORF/DDA students the opportunity to conduct and gain experience of an in-depth open-ended OR/Data Science investigation. The main purpose is to develop students’ skills in: identifying, organising, and directing their own work; accessing and using relevant resources, such as library and software resources; applying their OR and/or Data Science knowledge and understanding; and communicating their work, by writing a comprehensive report on the investigation and its outcomes. Case Study 1 is a primary means by which MSc OR/ORF/DDA students demonstrate their capacity for independent learning.
Students will normally undertake Case Study 1 over a six-week period in the early summer (typically, mid-June until end-July). There will normally be a choice of several topics for Case Study 1. Each case study topic will be partially structured, but open ended. Contact will be via a one-hour kickoff meeting with all students in the topic group, followed by a one-hour progress meeting with all students part way through the six-week period. Weekly office hours and computer programming support sessions will also be provided. Assessment will be by means of Case Study 1 report, of 25-30 pages in length, to be submitted at the end of the relevant six-week period. Case Study 1 will act as a stepping stone to Case Study 2.