- Flexible payment : Pay per module
- Next start date : Start immediately
- Fee per 15-credit module : £670
- Total credits : 120
Why CITY ST GEORGE'S
| Study with a University of London member who is: | |
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Top 40 in the UK and top 10 in London |
World Top 350 among the best universities |
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12th most competitive university in the UK |
5th best in London and 17th in UK for |
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Take the next step towards your future in tech
Develop advanced computing expertise and prepare for a technology-driven career with the Postgraduate (PG) Diploma in Computer Science. This part-time, 100% online PG diploma builds on foundational computing knowledge and provides a broader understanding of key areas such as software engineering, data analytics, computer systems, and emerging technologies including artificial intelligence and cyber security. Designed for graduates without a traditional computing background, the programme combines practical technical skills with theoretical understanding that reflects modern industry demands. With over 120 years of excellence in science and technology education, City St George’s combines academic rigor with a strong focus on employability. Delivered 100% online and part-time, this programme allows you to develop in-demand computing skills while balancing professional and personal commitments. With 365 start dates each year, you can begin your learning whenever it suits you.
What you’ll learn
This PG Diploma builds comprehensive computing knowledge and practical skills to tackle real-world technology challenges across industries.
You will:
Skills and knowledge you will develop
- Advanced computing knowledge: Understand programming paradigms, computer systems architecture, networks, and data analytics.
- Technical and analytical skills: Apply programming languages, system design techniques, and data analysis approaches to complex problems.
- Problem-solving and innovation: Match computing challenges to appropriate tools and technologies while evaluating innovative solutions.
- Professional and ethical awareness: Understand privacy, professional ethics, and responsible computing practices.
How you’ll learn
This Diploma is delivered fully online with asynchronous learning to support flexible study. Modules combine video lectures, guided exercises, and self-directed study. You will engage with tutors and peers through discussion boards and receive formative feedback to guide your development.
Each module typically requires 120 hours of study, plus 30 hours for assessment consolidation and submission.
Transform your computing skills into career opportunities
Graduates of this PG Diploma can pursue careers in software development, AI, cyber security, data analytics, IT consultancy, and other digital roles across industries such as healthcare, finance, government, and technology.
The PG Diploma also provides direct progression to several MSc Computer Science pathways, enabling students to extend their studies and deepen their expertise.
Entry Requirements
- Entry requirements for home and international students
To study the Postgraduate Diploma you will need a:
Lower second-class (Hons) undergraduate degree, or equivalent, in a subject area other than Computer Science (or similar).
OR
Master’s degree, or equivalent, in a subject area other than Computer Science (or similar) .
OR
Third-class honours degree or an ordinary degree (without honours), or equivalent, in a subject area other than Computer Science (or similar) with a minimum of two years’ appropriate work experience.
Some students may also be exempt from some programme modules, depending on previous study and work experience, subject to City’s Assessment Regulations.
- English language requirements
You may also need to demonstrate your capability to study in English. Two common methods and the levels required are:
IELTS Academic: 6.0 (minimum of 6.0 in all four components).
TOEFL IBT: 80 (with 20 in each component).
IELTS/TOEFL tests need to have been taken in the last two years.
We also accept GCSE English language grade 4 (C) or evidence from an accepted English language test.
Note: You will not be required to prove your English language capability, if you're a national of a majority English-speaking country, or have completed a university degree (or equivalent) in one.
FAQs
No, this programme is designed for graduates from any discipline.
No, you can enrol directly onto the PG Diploma. Credits from a PG Certificate count towards the diploma.
Fully online with asynchronous learning.
Maximum registration period: 3 years.
Yes, this PG Diploma feeds directly into multiple MSc Computer Science pathways
Programme Modules
This foundation module underpins the complete MSc Computer Science programme and is designed for students who are inexperienced in computer programming. Explore procedural computer programming, data-structures, and algorithms, and learn how to solve problems using computer programmes.
Building upon the programming knowledge and skills developed in Programming and Algorithms, this module introduces the concept of object-orientation and enables you to explore object-oriented programming via an object-oriented programming language. You will learn how to develop algorithms, and to solve problems using computer programs.
Develop your knowledge of the theoretical and practical aspects of web technologies. Learn how to create web applications and about a wide range of technologies to develop an understanding of the web landscape with an emphasis on client-side technologies.
As an introduction to databases, you will learn to understand, explore, and build relational databases – the most common form in practice. You will also gain knowledge of non-relational databases, including the principal differences and use-cases compared to relational databases.
Become familiar with the key concepts of data analytics and big data. Learn about the sources of data, data mining, and what can be achieved by analysing that data, within a business, and other contexts. Alongside data analytics, you will learn about data visualisation techniques and tools.
Gain an understanding of the principles of computer systems and networking as you explore computer architectures, operating systems, and networks. Learn the purpose of an operating system, and how it supports resource sharing and concurrency. The module also teaches you how to qualitatively and quantitively assess issues that affect performance of computer systems and programmes running on them.
Electives
Develop your knowledge in the principles of Artificial Intelligence (AI) and the problems that are appropriate for AI solutions. Consider how knowledge can be represented, and how that knowledge can be manipulated and searched. You will also learn about artificial neural networks, which can learn from patterns in known data sets to perform tasks on unseen data.
The internet connects systems to systems and customers to systems. It can also connect criminals to systems, allowing them to steal or misuse valuable information. Learn about cyber security and the variety of techniques used to protect information systems against cybercrimes.
OR
Develop your knowledge in the principles of Artificial Intelligence (AI) and the problems that are appropriate for AI solutions. Consider how knowledge can be represented, and how that knowledge can be manipulated and searched. You will also learn about artificial neural networks, which can learn from patterns in known data sets to perform tasks on unseen data.
Learn both the theoretical and practical knowledge and skills involved in Human Computer Interaction (HCI). This module provides the essential knowledge for understanding users of interactive systems and helps you to design usable systems applying a user-centred design approach. The design and evaluation techniques delivered are widely applied in industry.
OR
Learn about the key concepts of the software engineering process in a practical context. This module introduces the broad spectrum of issues relating to software system design. Build upon the concepts of object-oriented programming by studying another programming language often used in large scale enterprises. Further your ability to generate object-oriented programmes and build applications using common software engineering principles.
The internet connects systems to systems and customers to systems. It can also connect criminals to systems, allowing them to steal or misuse valuable information. Learn about cyber security and the variety of techniques used to protect information systems against cybercrimes.
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