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Foundations of Data Science Prescriptor Qualifications TimeTable Course Code COMP615 EFTS 0.1250 Points 15.00 Level 6 Download Course Descriptor Prescriptor This paper focuses on several core topics that constitute the infrastructure for Data Science, including the data analytics pipeline, management of large scale data, how analytics and machine learning capabilities are built on top of that storage, and how data scientists develop machine learning and modelling platforms using libraries and robust architecture design patterns. Resources No Resource is available. Qualifications The course is available as part of the following qualifications. Expand to see requisite details. Points   INEXCH1   International Exchange (Inbound)   (INEXCH) 0.00 No requisite courses specified.   SABRD1   Study Abroad   (Study Abroad) 0.00 No requisite courses specified.   ICE1   Individual Course Enrolment   (ICE) 0.00 No requisite courses specified.   AK3697   Bachelor of Computer and Information Sciences   (BCIS) 360.00 Prerequisites COMP517   AK3698   Graduate Diploma in Computer and Information Sciences   (GradDipCIS) 120.00 Prerequisites COMP517   AK3756   Graduate Certificate in Computer and Information Sciences   (GradCertCIS) 60.00 Prerequisites COMP517 Timetable 2025, Semester 1 Class Stream Starting Ending Day Time Room COMP615/W101  A  03-Mar-2025  27-Jun-2025        COMP615/W102  A  03-Mar-2025  27-Jun-2025        COMP615/W103  A  03-Mar-2025  27-Jun-2025        COMP615/W104  A  03-Mar-2025  27-Jun-2025        Contents Main Menu Qualification Specialisations Qualification Types Qualifications by Faculty Short Courses Course Search Academic Calendar Downloadable Forms and Guides

Auckland University of Technology