ࡱ> 685 2bjbj .$2  ,@4\\\\\]]])++++++$!O]]]]]O\\d]F\\)])\Tw z08"8"8"x]]]]]]]OO]]]]]]]8"]]]]]]]]] : DATA ANALYSIS, VISUALISATION, AND COMMUNICATION (MSc/ PgDip/PgCert) 57I240B1/61I240VX/62I240VZ Duration: 12 months full-time (MSc); 9 months full-time (PgDip); 4 months full-time (PgCert). Content: Candidates shall be required to attend the following core and optional courses: Stage 1 CS50AF Data Management (15 credit points) CS50AG Data Analysis and Visualisation (15 credit points) One from: CS50AB Semantic Web Engineering and Linked Data (15 credit points) OR CS50AD Natural Language Generation Choice of one of the courses from the list below: BU5039 Marketing Management (15 credit points) CS50AB Semantic Web Engineering and Linked Data (15 credit points) CS5097 Database Systems and Big Data (15 credit points) CS50AD Natural Language Generation (15 credit points) CS50AE Information Extraction and Text Analytics (15 credit points) GG4016 Transport Geography (15 credit points) GG5050 GIS Tools and Techniques I (15 credit points) GG5052 Aspects of Digital Mapping & Visualisation (15 credit points) GG5053 GIS Tools and Techniques II (15 credit points) Choices may be restricted by timetable constraints. Stage 2 GG5506 Research Design & Methods (15 credit points) CS5595 Group Project in Data Analysis and Presentation (30 credit points) Choice of one of the courses from the list below: CS5541 Human Computer Interaction (15 credit points) GG5540 Current Applications of GIS (15 credit points) BU5573 Marketing Communications (15 credit points) GG5550 GIS Tools and Techniques I (15 credit points) GG5553 GIS Tools and Techniques II (15 credit points) Choices may be restricted by timetable constraints. Only candidates who have achieved 120 credit points will be allowed to progress to Stage 3. Candidates will be awarded a Postgraduate Diploma if they do not wish to continue to Stage 3 and have the required 120 credit points. Stage 3 CS5973 Individual Project in Data Analysis and Presentation (60 credit points) Assessment: By course work, by written examination, or by a combination of these, as prescribed for each course. NOTE: Other electives may be possible with the permission of the degree coordinator and, where appropriate, the Head of School of the course to be taken. Computing Science undergraduates might be familiar with Semantic Web Engineering and with Data Analysis and Visualisation. They will be offered the choice of other electives. CS50AD will only be offered to students within the cohort with suitable programming skills. 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