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HDip Schedule (Full-Time)


You are reading the full-time schedule for this programme, here is the part-time schedule which applies to the evening delivery of the programme.

The HDip in Data Science and Analytics programme is delivered over two semesters, each semester has a 13 week teaching block. Taught semesters normally have modules with a value of 5 ECTS credits giving 30 ECTS credits per semester and 60 ECTS credits per year. The tables below list the modules in each semester of the progrmme and contain hyperlinks to module descriptors. Each module descriptor contains detailed information such as learning outcomes, indicative content and assessment methods, for example.

Students select one elective in the second semester and only the most popular elective will be subsequently scheduled. The number of electives offered depends on the number of students in an elective class. Electives with small student numbers will not be offered.


Semester 1

Module Mandatory/Elective ECTS Credits
DATA8001 - Data Science and Analytics Mandatory 5
DATA8002 - Data Management Systems Mandatory 5
COMP8060 - Scientific Prog in Python Mandatory 5
STAT8006 - Applied Stats & Probability Mandatory 5
STAT8010 - Intro to R for Data Science Mandatory 5
MATH8009 - Maths Methods and Modelling Mandatory 5



Semester 2

Module Mandatory/Elective ECTS Credits
STAT8011 - Regression Analysis Mandatory 5
DATA8005 - Distributed Data Management Mandatory 5
DATA8008 - Data Visualisation & Analytics Mandatory 5
DATA8006 - Data Science Analytics Project Mandatory 10
STAT8008 - Time Series & PCA Elective 5
COMP8043 - Machine Learning Elective 5