Graduate Diploma in Computing
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- Graduate Diploma in Computing
Awarded by
Euclea Business School, France
Study mode
Hybrid
Credits
60 ECTS
Course Duration
11 Months
Graduate Diploma in Computing
Overview :This graduate-level diploma is designed as an intensive conversion course for individuals holding a bachelor’s degree in a non-computing field who wish to transition into the technology sector. It provides a concentrated curriculum covering the essential knowledge and skills of computer science, equivalent to the final year of a computing degree. The programme prepares graduates for technical roles or for advanced postgraduate study in a specialized area of computing.
Area of Learning : The curriculum offers a comprehensive blend of management, technical, and analytical skills. Learners develop expertise in human resources management, team management, leadership, and communication, supported by intercultural management to operate effectively in global contexts. Core business management knowledge is reinforced through a research project and the study of marketing strategy. In addition, learners gain technical and analytical skills in artificial intelligence, business intelligence systems, data analytics, and programming, equipping them with the practical and strategic capabilities needed for modern management and technology-driven business environments.
- Entry Requirements : Bachelor's Degree or Level 6 qualification.
Gradute Diploma in Computing
This graduate-level diploma is designed as an intensive conversion course for individuals holding a bachelor’s degree in a non-computing field who wish to transition into the technology sector. It provides a concentrated curriculum covering the essential knowledge and skills of computer science, equivalent to the final year of a computing degree. The programme prepares graduates for technical roles or for advanced postgraduate study in a specialized area of computing.
- Entry Requirements : Bachelor's Degree or Level 6 qualification.
Modules
The curriculum bridges the gap between foundational and advanced computing topics, providing a robust and accelerated learning path. Modules include
Advanced Software Engineering
Covers the principles of designing, developing, and maintaining complex software systems, with a focus on modern methodologies and tools.
Data Analytics and Machine Learning
Introduces the fundamentals of data analysis, statistical modeling, and machine learning algorithms to extract insights from data.
Cloud Computing Infrastructure
Explores the architecture, services, and deployment models of modern cloud platforms and the management of cloud-based solutions.
Ethical Hacking and Countermeasures
Provides an understanding of the principles and techniques of ethical hacking and penetration testing to identify and mitigate security vulnerabilities.
Advanced Project Management for IT
Focuses on the methodologies and best practices for managing complex IT projects, from initiation and planning to execution and closure.
