Master of Science (M.Sc.) Artificial Intelligence

MQF Level 7

Master of Science

Artificial Intelligence

October 2024
Price  (Local/EU)
Price  (Non-EU)
Part-Time: 20 Months + 6 months (Dissertation)
Full-Time: 12 Months + 6 months (Dissertation)
ECTS Credits
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Course Description

AI is contributing to each sphere of life. Decision-makers can ensure well-informed decisions utilizing the latest AI tools and techniques.

The main objective of this programme is to equip managers, decision-makers, designers and planners in better understanding how AI can help them, analyzing the need for AI tools, selecting the right tools and techniques and effectively using them to solve the problem in hand. They can also develop a career as an AI consultant advising organisations to optimally exploit the potential of AI to meet their business interests.

The overall course objectives are:


  • Critically reflect on and appraise the utility of Artificial Intelligence (AI) in commerce;
  • Critically evaluate fundamental approaches to implementing intelligent behaviour in machines;
  • Analyse the techniques and applications of AI across industries;
  • Evaluate the ethical and social impacts of AI technologies while developing critical judgement, intellectual integrity and practical skills on client-facing projects;
  • Critically examine the development of the body of knowledge that relates to the automated reasoning, knowledge representation and machine learning and its application to real-world problems and datasets.


  • Develop and apply intelligent systems for solving complex problems in selected industries as appropriate;
  • Construct and configure solutions using a range of AI technologies;
  • Apply machine learning, statistical and data mining approaches to solve potential business problems;
  • Develop and apply software in various areas for the selected industry as appropriate.


  • Critically evaluate applicability of machine learning, statistical and data mining approaches;
  • Judiciously examine the issues involved in building and maintaining reliable software for ever-changing and fast-paced demands of today’s companies;
  • Design, develop and implement an independent postgraduate research project that integrates relevant literature and appropriate methodologies to explore specific issues;
  • Evaluate and develop a set of methodologies to advance opportunities applicable for business optimisation by applying Artificial Intelligence concepts, principles and models;
  • Critically evaluate the application of algorithms to given problems.

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 field;


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


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

Students whose first language is not English will be required to demonstrate English language capability at IELTS level 6.0 or equivalent.

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.

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.


You are required to complete all 7 compulsory modules (42 ECTS), and only 3 elective modules out of the proposed 5 (18 ECTS), as well as the Dissertation (30 ECTS) to fulfil the requirements of this Master’s Degree.

🏁 Amazing! You’ve just achieved your Master of Science.

MQF Level 7

Master of Science (M.Sc.) Artificial Intelligence

How you’ll be assessed

The course comprises:

  • Evening classes for part-time courses.
  • Classes held throughout the day for full-time courses.
  • Guided learning, presentations, comprising synchronous online discussions, tutorials and/or videos.
  • Self-study hours comprising research, reading and assignment work.


Assessment is carried out via two mandatory components:

  • Modular Assessment
  • Dissertation Assessment

The programme includes different forms of assessment which allow for and promote students’ critical engagement. The formative and summative assessment tasks may include an in-class assignment and/or a home-based written assignment using diverse assessment tools which may take the form of online and in-class discussions, examinations, case studies, reports, proposals, essays, and presentations, etc., as applicable to the diverse modules. 

Dissertation Assessment

Assessment of dissertations is primarily based on:

  • Depth of critical understanding of the theoretical framework;
  • Application of appropriate research tools;
  • Critical approach to analysis, interpretation and evaluation of research findings;
  • Depth and level of argumentation build-up;
  • Original contribution to the generation of new knowledge/hypothesis/models;
  • Scholarly presentation meeting academic standards

Course Intake Dates

October 2024

Learning Outcomes

For Communication Skills

  1. Communicate with a large variety of people at different levels within their organization as well as external stakeholders;
  2. Prepare and communicate information on complex Artificial Intelligence issues and solutions to specialist and non-specialist audiences;
  3. Communicate to specialist and non-specialist audiences clearly and unambiguously to reach conclusions which may be the outcome of presentations, research, self-study or experience.

For Learning Skills

  1. Undertake independent and self-directed study through research, both primary and secondary;
  2. Apply critical reflective thinking and be in a position to challenge and critique Artificial Intelligence models, concepts and ideas;
  3. Enhance career by developing advanced knowledge and understanding to systematically and creatively inform management practices by applying Artificial Intelligence solutions;
  4. Become independent, self-directed learners with the tools and motivation to continue learning, developing and reflecting throughout their careers.
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