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Part-time studies

Part-time studies

Our degrees are often taken in part-time mode.

You can take up to five years to complete the degree, which gives you some flexibility in deciding which modules to take and when. However, please bear in mind that classes are scheduled between 9am and 6pm. Each term runs for 11 weeks.

We aim to deliver all the core modules (and some of the optional ones) in a single day of the week throughout the term in which the module is offered. This allows you to minimise the disruption that part-time study may cause to your work commitments, and to study part-time on a day release mode. This means that you will be able to do the Masters by attending each term on a single day of the week. Employers are often happy to release staff to study in this mode. 

Please note that the availability of the day-release mode depends on the timetable.

Day-release in 2024-25

We have made it possible for the programmes below to be taken in two years on a part-time day-release mode. Please note that the proposed timetable applies to 2024/25 entry, and that the proposed diet of modules is only a suggestion; other combinations may be possible, which you can discuss with the course directors.

The Individual Project takes 12 weeks at the end of Year 2, starting immediately after the exams in May.

First year – Term 1 (Wednesday)

CS5100 Data Analysis (30 credits) Friday lecture to be watched as recording

CS5800 Principles of Computation and Programming (15 credits)

First year – Term 2 (Monday)

CS5504 Business Intelligence Systems, Infrastructures and Technologies (15 credits) Tuesday lecture to be watched as recording

CS5250 Visualisation and Exploratory Analysis (15 credits)

Second year – Term 1 (Monday)

CS5855 Database Systems (15 credits)

Second year – Term 2 (Wednesday)

CS5234 Large-Scale Data Storage and Processing (15 credits)

First year – Term 1 (Wednesday)

CS5100 Data Analysis (30 credits) Friday lecture to be watched as recording

CS5800 Principles of Computation and Programming (15 credits)

First year – Term 2 (Thursday)

CS5990 Natural Language Processing (15 credits)

Second year – Term 1 (Monday)

CS5920 Machine Learning (15 credits)

Second year – Term 2 (Friday)

CS5200 On-line Machine Learning (15 credits)

CS5950 Deep Learning (15 credits)

First year – Term 1 (Wednesday)

    CS5100 Data Analysis (30 credits) Friday lecture to be watched as recording

    CS5800 Principles of Computation and Programming (15 credits)
 
First year – Term 2 (Friday)

    CS5950 Deep Learning (15 credits)
 
Second year – Term 1 (Tuesday) 

     CS5960 Artificial Intelligence Principles and Techniques (15 credits)

Second year – Term 2 (Thursday)

    CS5980 Autonomous Intelligent Systems (15 credits)

    CS5990 Natural Language Processing (15 credits)

Term 1 

Monday

CS5855 Database Systems (15 credits)

CS5920 Machine Learning (15 credits)

Tuesday

CS5960 Artificial Intelligence Principles and Techniques (15 credits)

Wednesday

CS5100 Data Analysis (30 credits) Friday lecture to be watched as recording

CS5800 Principles of Computation and Programming (15 credits)

Term 2 

Monday

CS5504 Business Intelligence Systems, Infrastructures and Technologies (15 credits) Tuesday lecture to be watched as recording

CS5250 Visualisation and Exploratory Analysis (15 credits)

Wednesday

CS5234 Large-Scale Data Storage and Processing (15 credits)

Thursday

CS5980 Autonomous Intelligent Systems (15 credits)

CS5990 Natural Language Processing (15 credits)

Friday

CS5200 On-line Machine Learning (15 credits)

CS5950 Deep Learning (15 credits)

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