Marketing Analytics and Data Science

Module Description

This module covers the processes of marketing analytics and data science that can help students understand customers and competitors, measure the impact of marketing activities and ultimately help build better levels of value co-creation with customers.  

This module provides the students with concepts and approaches to marketing offering the use of new technologies and platforms, and the Internet in particular as means to assess, understand and respond to customers, measure marketing performance, and aid marketing decision making. 

Entry Requirements

Candidates who apply for this course must be in possession of the following: 

• a qualification at MQF Level 4 in subjects related to Mathematics, Science or Computing (minimum two ‘A’ Levels or equivalent);  

AND  

• a pass in English at MQF Level 3 (‘O’ Level or equivalent). 

Preference is given to students having a Level 4 diploma in engineering or computing and an A–level standard in mathematics.  

Target Audience

This course is targeted at: 

• individuals seeking academic and professional advancement in computing;   
• mid-career break professionals looking for opportunities to return or change their career.  

Career Paths

The possible positions for which this programme aims to prepare for include, but are not limited to:  

•  database administrator 
• IT technical support officer
• applications programmer
• systems programmer
• systems analyst 
• programmer

How you’ll be assessed

This is a part-time programme and will typically take 10 months to complete. The programme comprises a total of 5 modules. The method of assessment is assignment-based.  

The course comprises:  

• 6 lectures per module; 
• 3-hour lectures (evening); 
• 12 hours of online content per module, comprising synchronous online discussions, tutorials and/or videos.