Dissertation
30 Credits (ECTS)
Dissertation
Get 70% back via Tax Credit
€525 refund on this module
Module Description
The dissertation is a compulsory element of the MSc Artificial Intelligence.
The aim of it is to produce an original piece of research work on a clearly defined topic.
Additionally, it is to enable the student to develop more in-depth knowledge, understanding, capabilities and attitudes in the context of the programme of study.
Guidelines: It is the most substantial piece of independent research work done by the student and may not be below 22,000 words and not to exceed 25,000 words.
The dissertation must be submitted for examination upon completion of all required modules.
(It is pre-requisite that all required the necessary courses have been passed – 7 core and 3 electives)
Dissertation submission will be done made via an online portal that has its plagiarism detection tool installed.
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 programme prepares for positions such as and not limited to:
- Compliance Supervisor/Manager/Officers
- Anti-Money Laundering Managers
- Money Laundering Reporting Officer and their deputies
- Law enforcement agencies and supervisory and regulatory authorities
- Managers with responsibilities for internal AML controls
- Risk Managers
- Director of Compliance
How you’ll be assessed
This module shall be assessed through a dissertation not shorter than 22,000 words and no longer than 25,000 words to be submitted via an online portal.
Dissertation Grading Structure:
- Between 86 and over – Pass with Distinction.
- Between 71-85 – Pass with Credit.
- Between 56 to 70 – Pass with Merit.
- Between 41 and 55 – Pass.
- 40 and less– Fail.
Final, MSc Artificial Intelligence qualification grade is a weighted score of:
- Final Modular Grades – 60%
- Final Dissertation Grade – 40%
Additional Info
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.
Learning Outcomes
Competences:
At the end of the module/unit the learner will have acquired the responsibility and autonomy to:
1: Establishing a Research Territory
- Show that the general research area is essential, central, interesting, problematic, or relevant.
- Present and review items of previous research in the area.
- Be conscious and responsible for the ethical aspects of research and development work.
2: Creating a Niche
- Indicate a gap in the previous research, or extend prior knowledge in some way.
- Contribute to research and development work.
3: Occupying the Niche
- Outline purposes or state the nature of the present research.
- Comply research questions or hypotheses.
- Announce principal findings.
- State the value of the present research.
Knowledge:
Students will be able to critically analyse the rationale, significance and implications of the following topics:
- Quantitative Research Methods
- Mix Methods
- Topic Selection
- Research Questions and Hypothesis
- Structure of the research paper
Skills:
At the end of the module/unit the learner will have acquired the following skills:
- Identify a research problem with a managerial perspective within the environment.
- Relate the problem to some relevant theory studied in this programme.
- Formulate the research problem precisely · Explain the significance of the study.
- Generate interest in the problem by giving a comprehensive overview of the background to the problem.
- Compile relevant historical and currently available literature / secondary information in and around the field of study.
Module-Specific Digital Skills and Competences
The learner will be able to:
- Navigate through the online learning platform to find assignments, discussion boards, literature, tutorials etc.