Below is a list of all modules offered for this degree in the current academic year. Click on the module to discover what you will learn in the module, how you will learn and assessment feedback profile amongst other information.
Incoming Stage 1 undergraduates can usually select an Elective in the Spring Trimester. Most continuing undergraduate students can select up to two Elective modules (10 Credits) per stage. There is also the possibility to take up to 10 extra Elective credits.
| Trimester | Credits | |||
|---|---|---|---|---|
Stage 1 Core Modules |
POL50220 | Social Science Methodology | Autumn | 10 |
Stage 1 Options - A) Min 1 of: Students must also take at least one of the following three modules in Stage 1: |
SOC40640 | Social Simulation: Methods and Models | Autumn | 10 |
Stage 1 Options - A) Min 1 of: Students must also take at least one of the following three modules in Stage 1: |
ECON50580 | PhD Econometrics 2 | Spring | 10 |
Stage 1 Options - A) Min 1 of: Students must also take at least one of the following three modules in Stage 1: |
POL42050 | Quantitative Text Analysis | Spring | 10 |
Stage 1 Options - B) Min 0 of: In addition, students must take up to three option modules from the list below, to bring the credit balance to 35. Note: All taught credits must be taken in Stage 1 and students must achieve a minimum of 35 taught credits in total, between core and options. Students with a technical background (computer science, engineering, statistics) take these modules from relevant offerings in the social sciences, while students with a social science background (incl. business and law) take these modules from relevant offerings in computer science, mathematics, and/or statistics. If your supervisor has recommended a module that does not appear below then please follow the advice on registration to taught modules published on the Graduate Studies website. |
ACM40290 | Numerical Algorithms | Autumn | 5 |
Stage 1 Options - B) Min 0 of: In addition, students must take up to three option modules from the list below, to bring the credit balance to 35. Note: All taught credits must be taken in Stage 1 and students must achieve a minimum of 35 taught credits in total, between core and options. Students with a technical background (computer science, engineering, statistics) take these modules from relevant offerings in the social sciences, while students with a social science background (incl. business and law) take these modules from relevant offerings in computer science, mathematics, and/or statistics. If your supervisor has recommended a module that does not appear below then please follow the advice on registration to taught modules published on the Graduate Studies website. |
COMP40610 | Information Visualisation | Autumn | 5 |
Stage 1 Options - B) Min 0 of: In addition, students must take up to three option modules from the list below, to bring the credit balance to 35. Note: All taught credits must be taken in Stage 1 and students must achieve a minimum of 35 taught credits in total, between core and options. Students with a technical background (computer science, engineering, statistics) take these modules from relevant offerings in the social sciences, while students with a social science background (incl. business and law) take these modules from relevant offerings in computer science, mathematics, and/or statistics. If your supervisor has recommended a module that does not appear below then please follow the advice on registration to taught modules published on the Graduate Studies website. |
COMP40730 | High Performance Computing | Autumn | 10 |
Stage 1 Options - B) Min 0 of: In addition, students must take up to three option modules from the list below, to bring the credit balance to 35. Note: All taught credits must be taken in Stage 1 and students must achieve a minimum of 35 taught credits in total, between core and options. Students with a technical background (computer science, engineering, statistics) take these modules from relevant offerings in the social sciences, while students with a social science background (incl. business and law) take these modules from relevant offerings in computer science, mathematics, and/or statistics. If your supervisor has recommended a module that does not appear below then please follow the advice on registration to taught modules published on the Graduate Studies website. |
SOC40640 | Social Simulation: Methods and Models | Autumn | 10 |
Stage 1 Options - B) Min 0 of: In addition, students must take up to three option modules from the list below, to bring the credit balance to 35. Note: All taught credits must be taken in Stage 1 and students must achieve a minimum of 35 taught credits in total, between core and options. Students with a technical background (computer science, engineering, statistics) take these modules from relevant offerings in the social sciences, while students with a social science background (incl. business and law) take these modules from relevant offerings in computer science, mathematics, and/or statistics. If your supervisor has recommended a module that does not appear below then please follow the advice on registration to taught modules published on the Graduate Studies website. |
STAT40400 | Monte Carlo Inference | Autumn | 5 |
Stage 1 Options - B) Min 0 of: In addition, students must take up to three option modules from the list below, to bring the credit balance to 35. Note: All taught credits must be taken in Stage 1 and students must achieve a minimum of 35 taught credits in total, between core and options. Students with a technical background (computer science, engineering, statistics) take these modules from relevant offerings in the social sciences, while students with a social science background (incl. business and law) take these modules from relevant offerings in computer science, mathematics, and/or statistics. If your supervisor has recommended a module that does not appear below then please follow the advice on registration to taught modules published on the Graduate Studies website. |
STAT40680 | Stochastic Models | Autumn | 5 |
Stage 1 Options - B) Min 0 of: In addition, students must take up to three option modules from the list below, to bring the credit balance to 35. Note: All taught credits must be taken in Stage 1 and students must achieve a minimum of 35 taught credits in total, between core and options. Students with a technical background (computer science, engineering, statistics) take these modules from relevant offerings in the social sciences, while students with a social science background (incl. business and law) take these modules from relevant offerings in computer science, mathematics, and/or statistics. If your supervisor has recommended a module that does not appear below then please follow the advice on registration to taught modules published on the Graduate Studies website. |
COMP47470 | Big Data Programming | Autumn and Spring (separate) | 5 |
Stage 1 Options - B) Min 0 of: In addition, students must take up to three option modules from the list below, to bring the credit balance to 35. Note: All taught credits must be taken in Stage 1 and students must achieve a minimum of 35 taught credits in total, between core and options. Students with a technical background (computer science, engineering, statistics) take these modules from relevant offerings in the social sciences, while students with a social science background (incl. business and law) take these modules from relevant offerings in computer science, mathematics, and/or statistics. If your supervisor has recommended a module that does not appear below then please follow the advice on registration to taught modules published on the Graduate Studies website. |
COMP47670 | Data Science in Python (MD) | Autumn and Spring (separate) | 5 |
Stage 1 Options - B) Min 0 of: In addition, students must take up to three option modules from the list below, to bring the credit balance to 35. Note: All taught credits must be taken in Stage 1 and students must achieve a minimum of 35 taught credits in total, between core and options. Students with a technical background (computer science, engineering, statistics) take these modules from relevant offerings in the social sciences, while students with a social science background (incl. business and law) take these modules from relevant offerings in computer science, mathematics, and/or statistics. If your supervisor has recommended a module that does not appear below then please follow the advice on registration to taught modules published on the Graduate Studies website. |
COMP41680 | Data Science in Python | Spring | 5 |
Stage 1 Options - B) Min 0 of: In addition, students must take up to three option modules from the list below, to bring the credit balance to 35. Note: All taught credits must be taken in Stage 1 and students must achieve a minimum of 35 taught credits in total, between core and options. Students with a technical background (computer science, engineering, statistics) take these modules from relevant offerings in the social sciences, while students with a social science background (incl. business and law) take these modules from relevant offerings in computer science, mathematics, and/or statistics. If your supervisor has recommended a module that does not appear below then please follow the advice on registration to taught modules published on the Graduate Studies website. |
ECON42720 | Causal Inference & Policy Evaluation | Spring | 5 |
Stage 1 Options - B) Min 0 of: In addition, students must take up to three option modules from the list below, to bring the credit balance to 35. Note: All taught credits must be taken in Stage 1 and students must achieve a minimum of 35 taught credits in total, between core and options. Students with a technical background (computer science, engineering, statistics) take these modules from relevant offerings in the social sciences, while students with a social science background (incl. business and law) take these modules from relevant offerings in computer science, mathematics, and/or statistics. If your supervisor has recommended a module that does not appear below then please follow the advice on registration to taught modules published on the Graduate Studies website. |
IS41510 | Social Networks Online and Off | Spring | 10 |
Stage 1 Options - B) Min 0 of: In addition, students must take up to three option modules from the list below, to bring the credit balance to 35. Note: All taught credits must be taken in Stage 1 and students must achieve a minimum of 35 taught credits in total, between core and options. Students with a technical background (computer science, engineering, statistics) take these modules from relevant offerings in the social sciences, while students with a social science background (incl. business and law) take these modules from relevant offerings in computer science, mathematics, and/or statistics. If your supervisor has recommended a module that does not appear below then please follow the advice on registration to taught modules published on the Graduate Studies website. |
POL42340 | Programming for Soc Scientists | Spring | 10 |
Stage 1 Options - B) Min 0 of: In addition, students must take up to three option modules from the list below, to bring the credit balance to 35. Note: All taught credits must be taken in Stage 1 and students must achieve a minimum of 35 taught credits in total, between core and options. Students with a technical background (computer science, engineering, statistics) take these modules from relevant offerings in the social sciences, while students with a social science background (incl. business and law) take these modules from relevant offerings in computer science, mathematics, and/or statistics. If your supervisor has recommended a module that does not appear below then please follow the advice on registration to taught modules published on the Graduate Studies website. |
POL42530 | Politics of International Trade and Investment | Spring | 10 |
Stage 1 Options - B) Min 0 of: In addition, students must take up to three option modules from the list below, to bring the credit balance to 35. Note: All taught credits must be taken in Stage 1 and students must achieve a minimum of 35 taught credits in total, between core and options. Students with a technical background (computer science, engineering, statistics) take these modules from relevant offerings in the social sciences, while students with a social science background (incl. business and law) take these modules from relevant offerings in computer science, mathematics, and/or statistics. If your supervisor has recommended a module that does not appear below then please follow the advice on registration to taught modules published on the Graduate Studies website. |
POL42560 | AI and Large Language Models | Spring | 10 |
Stage 1 Options - B) Min 0 of: In addition, students must take up to three option modules from the list below, to bring the credit balance to 35. Note: All taught credits must be taken in Stage 1 and students must achieve a minimum of 35 taught credits in total, between core and options. Students with a technical background (computer science, engineering, statistics) take these modules from relevant offerings in the social sciences, while students with a social science background (incl. business and law) take these modules from relevant offerings in computer science, mathematics, and/or statistics. If your supervisor has recommended a module that does not appear below then please follow the advice on registration to taught modules published on the Graduate Studies website. |
POL50050 | Quantitative Methods II | Spring | 10 |
Stage 1 Options - B) Min 0 of: In addition, students must take up to three option modules from the list below, to bring the credit balance to 35. Note: All taught credits must be taken in Stage 1 and students must achieve a minimum of 35 taught credits in total, between core and options. Students with a technical background (computer science, engineering, statistics) take these modules from relevant offerings in the social sciences, while students with a social science background (incl. business and law) take these modules from relevant offerings in computer science, mathematics, and/or statistics. If your supervisor has recommended a module that does not appear below then please follow the advice on registration to taught modules published on the Graduate Studies website. |
SOC30380 | Social Dynamics and Networks | Spring | 5 |
Stage 1 Options - B) Min 0 of: In addition, students must take up to three option modules from the list below, to bring the credit balance to 35. Note: All taught credits must be taken in Stage 1 and students must achieve a minimum of 35 taught credits in total, between core and options. Students with a technical background (computer science, engineering, statistics) take these modules from relevant offerings in the social sciences, while students with a social science background (incl. business and law) take these modules from relevant offerings in computer science, mathematics, and/or statistics. If your supervisor has recommended a module that does not appear below then please follow the advice on registration to taught modules published on the Graduate Studies website. |
STAT30270 | Statistical Machine Learning | Spring | 5 |
Stage 1 Options - B) Min 0 of: In addition, students must take up to three option modules from the list below, to bring the credit balance to 35. Note: All taught credits must be taken in Stage 1 and students must achieve a minimum of 35 taught credits in total, between core and options. Students with a technical background (computer science, engineering, statistics) take these modules from relevant offerings in the social sciences, while students with a social science background (incl. business and law) take these modules from relevant offerings in computer science, mathematics, and/or statistics. If your supervisor has recommended a module that does not appear below then please follow the advice on registration to taught modules published on the Graduate Studies website. |
STAT40150 | Multivariate Analysis | Spring | 5 |