Program start date | Application deadline |
2025-09-01 | - |
2025-11-01 | - |
2026-01-01 | - |
2026-03-01 | - |
2026-05-01 | - |
2026-07-01 | - |
Program Overview
Course overview
This course aims to equip you with the skills needed to drive innovations in fields like weather prediction, financial forecasting, medical diagnostics and customer behaviour analysis.
Master core concepts
Gain a deep understanding of essential computing principles, applications and technologies
Explore fascinating fields
Master practical skills and theoretical knowledge in artificial intelligence, cyber security, data science, and parallel and distributed computing, and learn how these areas continue to drive major developments and innovations in the domain of computer science
Engage in vocationally driven study
Course content is informed by professional practice and the needs of industry with a focus on your employability
Hone your skills
Specialise in cutting-edge fields like machine learning, big data, cloud computing, or high-performance computing
What you'll study
Essential theoretical foundations are balanced with practical, hands-on experience through projects, research and industry advisory inputs, aiming to equip you with the latest skills to pursue a career in technology leadership, research, and development across diverse industries
Modules
- Advanced Programming – 30 credits
- Develop advanced programming skills essential for modern industrial and real-world computing applications
- Critically examine key applications and approaches
- Explore different programming paradigms and approaches, including their applications, and learn to critically evaluate the best choice for a given application space
- Cover languages such as Python, C++, Haskell, Prolog, Z3, or similar
- Advanced Software Development – 30 credits
- Learn and apply advanced software development techniques informed by leading industrial practices
- Gain practical experience in applying these techniques to develop complex, high-performance, and scalable software systems, adhering to professional standards
- This module is designed to include the criteria set out by the CMI for the CMI Level 7 Certificate in Strategic Management and Leadership Practice
- Secure Computing Systems – 30 credits
- Build your cyber security skills by focusing on network security, cryptography, and threat intelligence for both networks and the cloud
- Learn to spot vulnerabilities, apply strong security measures and handle threats in different environments
- Gain a critical understanding of legal, ethical and professional issues while evaluating new and emerging advancements in network security
- Machine Learning and Big Data – 30 credits
- Explore how machine learning is used in fields such as healthcare, agriculture, bioinformatics, image recognition and natural language processing
- Develop skills to address real-world challenges involving big data
- Learn about various machine learning models, including supervised learning, unsupervised learning, reinforcement learning and neural networks
- Master’s with professional placement
- Gain valuable industry insights and skills as you apply your academic knowledge and skills to a professional placement
- The placement must be sourced and secured by you during your first semester
- Our careers and employability team are available to support you with the sourcing process
- Start your professional placement after completing the first 120 credits of your course
- The professional placement will be integrated into your course learning and outcomes
- Individual Research Project – 60 credits
- Develop essential components of research from conceptualisation to dissemination
- Learn about different research designs, data collection methods, and analysis techniques while learning the importance of ethical research practices and effective time management
- Produce a substantial piece of original work
How you'll learn
Teaching methods may include:
- lectures
- seminars
- tutorials
- presentations
- group projects
- workshops
- practical laboratory sessions
Teaching contact hours
As a full-time postgraduate student, you will study modules totalling 180 credits each academic year. A typical 30-credit module requires a total of 300 hours of study. Study hours are made up of teaching contact hours, and guided and independent study.
Teaching hours
Teaching hours may vary, depending on where you are in your studies, but on average you will have between 8 and 12 teaching and learning hours each week. You will also have the opportunity to attend optional sessions including time with a Success Coach or to meet with staff for advice and feedback.
Guided and independent study
Throughout your studies, you will be expected to spend time in guided and independent study to make up the required study hours per module. You will be digging deeper into topics, reviewing what you’ve learnt and completing assignments. This can be completed around your personal commitments. As you progress to the end of your studies, you’ll spend more time on independent learning.
Online learning
As an innovative university, we use different teaching methods, including online tools and emerging technologies. So, some of your teaching hours and assessments may be delivered online.
Assessment
This course will be assessed using a variety of methods which could vary depending upon the module. Assessment methods may include:
- reports
- tests
- essays
- coursework
- assignments
- group work
- presentations
Entry requirements
Typical entry requirements:
- UK
- International
An honours degree 2:2 or above (or international equivalent) in a computational discipline.
We recognise a breadth of qualifications; speak to one of our advisers today to find out how we can help you.
English language requirements
- IELTS: 6.5 overall, with no component lower than 5.5
If you don't meet the English language requirements, you can achieve the level you need by successfully completing a pre-sessional English programme before you start your course.
Fees and funding
Student | Full-time | Part-time
---|---|---
UK, Ireland*, Channel Islands or Isle of Man | £11,200 per year
£1,500 professional placement fee (if placement secured) per year | Not available
EU | £11,200 per year with EU Support Bursary**
£1,500 professional placement fee (if placement secured) per year with EU Support Bursary**
£18,600 per year without EU Support Bursary**
£1,800 professional placement fee (if placement secured) per year without EU Support Bursary** | Not available
International | £18,600 per year
£1,800 professional placement fee (if placement secured) per year | Not available
Facilities
Lanchester Library
The library is usually open 24/7, in term-time. It’s where you can access your course’s specialist Academic Liaison Librarian. It’s also home to specialist teams which can support you with your academic writing and maths and statistics questions.
The Hub
The Hub is the centre of student life on campus. Facilities include a food court, convenience store, multi-faith centre, medical centre, hairdresser, coffee shops and the Your SU offices. It has fully licensed function spaces and a bar.
Careers and employability
Get one-on-one career and employability guidance lasting up to 36 months from the end of your course. We’ll help you find placements and graduate roles, offer CV and application checks, mentoring, skills workshops, employer events and more.
Careers and opportunities
On successful completion of the course, you may choose to pursue a career as:
- Software Developer (App/web developer, embedded software developer / Internet of Things developer, cloud developer)
- Data Scientist
- Data Analyst
- Cloud Solutions Architect
- Cybersecurity Engineer
- Machine Learning Specialist
- AI developer or specialist
- Software Engineer
On successful completion of the course, you will be able to:
- demonstrate advanced expertise across a range of programming paradigms and computing resources including parallel and distributed computing
- develop and understand algorithms to solve problems; identify algorithmic complexity; deploy a range of approaches to solving computationally hard problems
- understand key issues on cybersecurity, engage in ethical hacking, ensure software security across a range of platforms according to standards
- show proficiency in data science techniques and advanced AI and machine learning approaches to interrogating data
- create advanced software according to contemporary industrial practice and standards, involving teamwork, entrepreneurial skills, and leadership
- become intellectually independent, develop and apply critical skills, identify research and innovation opportunities, motivate, develop and demonstrate solutions
- be familiar with professional practice, and act ethically, responsibly and sustainably
- demonstrate skills in strategic management and leadership practice
Where our graduates work
Successful graduates of this course have gone on to work for companies such as:
- Infinitive
- Unity
- Next
- Loycol
- Booker Group
- Morse Micro
- Wordplay
How to apply
UK students
To apply to study for a postgraduate course at Coventry University, you can apply online. Please read the entry criteria page before applying.
Start your application
International students
Full-time international students should apply directly to the university. Please read our application pages to find out your next steps to apply.
How to apply
For further support for international applicants applying for postgraduate degrees view our International hub.
You can also download our international mini guide for an overview of study options and why you should study with us.
Get in touch with us today for further advice and guidance.
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