Undergraduate Diploma in Computer Science

Undergraduate Diploma in Computer Science 12 months – 3 semesters

Semester 1

• Introduction to Formal Logic 10 ECTS
• Introduction to Programming with Python 10 ECTS

Semester 2

• Computer Architecture and Operating Systems 10 ECTS
• Introduction to Databases 10 ECTS

Semester 3

• Scientific reading and writing in Computer Science 10 ECTS
• Software Engineering 10 ECTS

Entry Requirements:

1. Proficiency in English language skills- IELTS level/grade 6, B2 level of English or the student’s country equivalent, as the course will involve reading technical materials and communicating concepts effectively.
2. Post secondary Education (Pure Maths and/Or Computing A level) (MATSEC) or equivalent OR
3. A degree at level 6 (MQF/EQF) or equivalent in another subject together with a Post secondary Education (Pure Maths and/Or Computing A level) (MATSEC)
   OR
4. 10 years of work experience in an IT related job paired with a strong interest in the field, together with a minimum level 4 qualification

Relationship to occupation

1. Junior Software Developer/Engineer
2. Junior Systems Analyst
3. Junior Web Developer
4. Junior Database Administrator (DBA)
5. Junior IT Support Specialist
6. Junior Quality Assurance (QA) Analyst/Tester
7. Junior Data Analyst
8. Junior Technical Consultant
9. Junior Cybersecurity Analyst

Learning Hours

Hours per module:

• Introduction to Formal Logic 250 hours (Contact Hours :50 | Self-Study :148 | Supervised, Placement and Tutorials :10 | Assessment :42 ).
• Introduction to Programming with Python 250 hours (Contact Hours :50 | Self-Study :110 | Supervised, Placement and Tutorials : 10 | Assessment :80 )
• Computer Architecture and Operating Systems 250 hours (Contact Hours :50 | Self-Study :148 | Supervised, Placement and Tutorials :10 | Assessment :42 ).
• Introduction to Databases 250 hours (Contact Hours :50 | Self-Study :148 | Supervised, Placement and Tutorials :10 | Assessment :42 ).
• Scientific reading and writing in Computer Science 250 hours (Contact Hours :50 | Self-Study :110 | Supervised, Placement and Tutorials : 10 | Assessment :80 )
• Software Engineering 250 hours (Contact Hours :50 | Self-Study :148 | Supervised, Placement and Tutorials :10 | Assessment :42 ).

Introduction to Formal Logic

• Define key terms and concepts in formal logic, such as propositions, truth values, logical operators, and inference rules.
• Recall the basic principles and rules of logical reasoning, including modus ponens, modus tollens, and truth tables.
• Recognize different types of logical fallacies and errors in reasoning.

Introduction to Programming with Python

• Explain the purpose and functionality of different Python data structures, including lists, tuples, dictionaries, and sets.
• Interpret code snippets and understand how they execute within the Python interpreter.
• Comprehend the concept of object-oriented programming (OOP) and its implementation in Python.

Computer Architecture and Operating Systems

• Explain the principles and mechanisms of computer system architecture, including von Neumann architecture, instruction execution cycle, and memory hierarchy.
• Interpret the roles and responsibilities of an operating system, including process management, memory management, file system management, and I/O management.

Introduction to Databases

• Explain the purpose and significance of databases in modern information systems, including data storage, retrieval, and manipulation.
• Develop knowledge on and explain the relational model and its components, including entities, attributes, relationships, and constraints.
• Interpret database schemas, entity-relationship diagrams (ERDs), and other visual representations of database structures.

Scientific reading and writing in Computer Science

• Develop knowledge on and explain the structure and organization of research papers and technical reports.
• Comprehend the purpose and significance of literature reviews in identifying gaps and trends in computer science research.
• Interpret and explain the findings, methodologies, and conclusions presented in scientific literature.

Software Engineering

• Ability to create software requirements and specifications based on stakeholder needs
• Develop knowledge on and explain of different software development life cycles and methodologies, and ability to select the most appropriate for a given project
• Ability to design software systems and architectures that meet performance, scalability, and maintainability requirements