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MQF Level 6 Bachelor of Science (BSc) in Software Design, Artificial Intelligence, and Cloud Computing

MQF Level 6 Bachelor of Science (BSc) in Software Design, Artificial Intelligence, and Cloud Computing

  • ECTS 180
Fact Sheet
Fact Sheet (Non-EU)

Course Overview

This degree equips learners with advanced knowledge in software design, artificial intelligence, and cloud computing. Students gain practical skills in programming, AI applications, data science, and cloud technologies. Graduates are prepared for roles in software development, AI, and IT systems management or for further postgraduate study.

This programme is ideal for:

  • Individuals with a background in IT, computing, or software design seeking advanced skills.

  • Learners aiming to work in AI, software development, cloud computing, or DevOps.

  • Professionals seeking to upskill for managerial or technical leadership roles in IT.

  • Students planning to pursue postgraduate studies in computer science, AI, or cloud technologies.

Year One

Module ECTS
Mathematical Foundations for Computing and Engineering
5
Foundations of Software Development with C++ and Python
5
Data Structures and Algorithms in Software Engineering
5
Introduction to Computer Graphics and 3D Programming
5
Service-Oriented Architecture and Microservices Fundamentals
5
Probability and Statistics Foundations with Applications
5
Introduction to Artificial Intelligence: Search, Logic, and Learning
10
Foundations of Cloud Computing
10
Introduction to DevOps: Principles and Practices
10

Year Two

Module ECTS
Foundations of Data Science: Principles and Tools
5
Foundations of Database Systems with Networking Insights
5
Principles of Network Architecture and Database Systems
10
Specialized Applications and Ethical Considerations in AI
10
Statistical Models for Regression and Classification
10
Cloud Application Development Fundamentals
10
Cloud Computing Techniques and Infrastructure
10

Year Three:

Unit Name ECTS
Machine Learning: Concepts and Applications
5
Natural Language Processing and Speech Recognition
5
Deep Learning: Neural Networks and Applications
5
DevOps Practices and Automated Workflows
5
Data Mining: Techniques and Visualization
5
Scaling and Monitoring in the DevOps Environment
5
Graduation Project
30

Hybrid (Subject to potential changes)

  • Students may register for programmes through our online portal or by contacting the office via mobile.

  • For additional information or assistance, please do not hesitate to get in touch with us.

  • Applicants must be 18 years of age or older at the time of enrolment.

  • Applicants must meet one of the following academic requirements:

    • MQF Level 5 qualification related to Software Design, IT, or Computing. Qualifications in related fields may also be considered under the Recognition of Prior Learning (RPL) policy.

    • MQF Level 4 qualification in Software Design, IT, or Computing, plus a minimum of 3 years relevant industry experience, considered under the RPL policy.

  • English language proficiency is required. Applicants whose first language is not English must provide evidence of competency.

Yes – this course falls under the \, which is an initiative that supports the personal development of individuals for the achievement of qualifications and certifications required by industry.

The incentive is applicable to individuals following a course of studies leading to a Certification, Diploma, Degree, or Post-Graduate Degree. Upon successful completion, students will benefit from a tax credit enabling them to recover part of the costs incurred.

Discover more on the official website: https://www.servizz.gov.mt/en/Pages/Education_-Science-and-Technology/Education-Services/Scholarships/WEB2016/default.aspx

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Euro (EU / Maltese) 9090.00
Euro (Non-EU) 14500.00
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Course Length

Fast Track – 36 months, Normal Track – 48 months

Intakes

For current intake dates, please contact our office.

Next Intake

October 14, 2025

Class Schedule

Twice weekly, 18:30 – 20:30 (schedule subject to change; Saturday morning lectures may be held if necessary)

Language

English

Location

Learn Key Institute Campus and Online (based on course format)

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Additional Fees

Registration Fee: To be paid separately for each course

Assignment Submission Fee: Details will be provided by our office team