Introduction to Artificial Intelligence and Data Science

MQF Level 7

6 Credits (ECTS)

Introduction to Artificial Intelligence and Data Science

Start
November 2022
Module Type
Compulsory
Price
€975
ECTS Credits
6 Credits (ECTS)
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Get 70% back via Tax Credit

€683 refund on this module

Module Description

This module has two parts. The first part of the Module will equip learners with the basic understanding of what AI is, its importance and impact on the industry, business and society, and AI applications in various sectors including finance, healthcare, education, and government. Learners will also learn various components of AI, including knowledge representation, reasoning, decision making and problem-solving. Learners will also get an exposure of some of the AI tools such as Rapid miner, Weka and R.

The second part of the Module will equip learners with the data science background required for AI and its applications. It will include data exploration, preparation, representation, transformation, modelling, visualisation and presentation.

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 asynchronous online discussions, tutorials and/or videos 

 

Assignment
Discussions

Module Intake Dates

November 2022
Malta
Price
€975

Additional Info

Reading for the entire Master of Science (M.Sc.) in Artificial Intelligence as presented in this brochure costs €9,775.*  

Upon successful completion of this course, students will be eligible for a 70% refund of the cost through the ‘Get Qualified’ scheme.** 

Due to the modular structure of the course, you may also opt to take individual modules as stand-alone. The entry requirements still apply.***  

*Prices are applicable to students who reside in Malta at the time of applying. 

**Terms and conditions apply.  

*** For the price of individual modules, please contact the IDEA Academy team.  

Accredited
International
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