Machine Learning

Module Description

This module has two parts. The first part of the module will equip learners with the basic understanding of what Machine Learning is, types of learning and hypothesis space, introduction to R packages and installation procedure. Learners will also learn various linear regression models and linear functions. Learners will also get an exposure of some Bayes theorem, Bayes Optimal Classifier and Naïve Bayes classifier etc.
The second part of the module will equip learners with the classification techniques such as K-Nearest Neighbours, Support Vector Machines and Linear SVM formulation. It will include Solving Machine Learning based Problems with R. Learners will also get an exposure of Neural Networks and Unsupervised learning etc.

Entry Requirements

Candidates who apply for this course must possess one of the following: 

• a Level 6 degree related to AI/Computer-Science/Mathematics/Electronics; 

OR 

• a Level 6 degree not related to AI/Computer Science/Mathematics/Electronics and a minimum of two years’ relevant experience; 

 OR 

• a Level 5 diploma or higher diploma and five years’ of relevant work experience.   

Target Audience

This course is targeted at: 

• Industry professionals working in different domains, including Technology, Engineering, Science, IT, Finance, Accountancy, Management, Marketing, Insurance, Banking, Gaming, Healthcare, Medicine, Pharmaceutical, Human Resources, Psychology, Blockchain, Legal, Administration, Policy Making, Digital Art, Archaeology, Architecture, Education and other related areas. 
• Recent graduates with degrees in Computer Science, Technology, Marketing, Finance, Economics, Accountancy, Management, HR, Law, Engineering, Science, Medicine, Psychology, Digital Art, Game Development, Archaeology, Architecture or Business. 

• Mid-career-break professionals looking for opportunities to return to or change their career.  

The target group may also be extended to positions such as that of wedding manager, transport manager, maintenance manager, operations manager, marketing manager, conference manager and even that of general manager. 

Career Paths

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

• Artificial Intelligence consultant 
• Data/ risk/ investment /business analyst  
• HR support systems manager  
• Compliance (gaming) manager  

It will also prepare you to work for any companies wanting to utilise and/or who are using AI in their operations.  

Potential employers include industrial sectors, such as: Financial Services, Accounting and Auditing Services, Tax Services, Strategy, Consultation, Digital, Technology and Operations, amongst others. 

How you’ll be assessed

This is a part-time programme and will typically take 30 months to complete. The programme comprises a total of 10 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.