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Higher Diploma Schedule (Part-Time)

HOW THIS PROGRAMME IS STRUCTURED

You are reading the part-time schedule for this programme, here is the full-time schedule. In part-time online mode, students take 15 credits each semester for the four semesters.

The HDip in Data Science and Analytics part-time programme is delivered over four semesters, each semester has a 13 week teaching block. Taught semesters normally have modules with a value of 5 ECTS credits giving 15 ECTS credits per semester and 30 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 third 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
COMP8060 - Scientific Prog in Python Mandatory 5
STAT8006 - Applied Stats & Probability Mandatory 5
STAT8010 - Intro to R for Data Science Mandatory 5

 

 

Semester 2

Module Mandatory/Elective ECTS Credits
DATA8001 - Data Science and Analytics Mandatory 5
DATA8002 - Data Management Systems Mandatory 5
MATH8009 - Maths Methods & modelling Mandatory 5

 

 

Semester 3

Module Mandatory/Elective ECTS Credits
STAT8011 - Regression Analysis Mandatory 5
DATA8008 - Data Visualisation & Analytics Mandatory 5
STAT8008 - Time Series & PCA Elective 5
COMP8043 - Machine Learning Elective 5

 

 

Semester 4

Module Mandatory/Elective ECTS Credits
DATA8005 - Distributed Data Management Mandatory 5
DATA8006 - Data Science Analytics Project Mandatory 10