100% online MSc Computer Science
Credits:
180
180
Two years, part-time
£7,800
£7,800
World-class Russell Group university
100% online - study from anywhere
Six starts per year
Pay-per-module
Total programme cost £7,800
Next start: 11 January 2021
Be in demand. Be in computer science.
In the UK alone, over 1.5 million people work in the digital sector, while the number of digital technology jobs has grown at twice the rate of other jobs. Demand for computer science skills far outstrips the supply of qualified graduates. Organisations across industries and sectors are searching far and wide for professionals equipped with knowledge of computer sciences.
This 100% online Computer Science Masters programme is designed for working professionals and graduates who may not currently have a computer science background and want to launch their career in this in-demand and lucrative field.
Our online programmes allow you to study around work and home commitments, at different times and locations. This is your computer science Masters degree, on your own terms, in your own time.
Request Information here
On the programme, you will develop:
- Computational thinking
- Software development skills
- A broad-based knowledge of computer science
- A variety of skills and tools to develop solutions
Career opportunity and advancement
The programme equips graduates for a range of positions in software and web development, IT systems, support and programming. Our world-class Russell Group institution and leading Department of Computer Science offer global reach and industry-relevant content – key differentiators that set our programmes apart.
Why York?
- Part of the elite Russell Group of major research-intensive universities
- Ranked Top 20 in the UK (Guardian University Rankings 2021)
- Top of the Russell Group for academic support (NSS 2020)
- Over 18,000 students and 4,000 staff from 140 countries
- 16th in the Times Higher Education Europe Teaching Rankings (2019)
- 128th in the Times Higher Education World University Rankings (2020)
Admission requirements:
- 2:2 (or equivalent) undergraduate degree in any subject
- Or Masters degree (or equivalent) in any subject
- Students whose first degree was not taught in English should have an appropriate English language qualification
- If you earned your degree outside the UK, check that it is equivalent to a 2:2. Our country-specific pages can help you to find out more
- If English isn’t your first language you may need to provide evidence of your ability, such as:
- IELTS: 6.5, with no less than 6.0 in each component
- PTE: 61, with no less than 55 in each component
- CAE and CPE (from January 2015): 176, with no less than 169 in each component
- TOEFL: 87, with a minimum of 21 in each component
- TOEFL iBT Special Home Edition: 87, with a minimum of 21 in each component
- Trinity ISE: level 3 with Merit in all components
- Duolingo – minimum overall score of 110
You need to have completed the test within two years of the start date of your programme. You cannot combine scores from more than one sitting of the test.
- You will not need to provide evidence of your English language abilities:
- If you’re from a specified majority English-speaking country
- If you’ve completed a degree in English in a specified country within two years of your intended start date
Successful completion of this course will require you to access widely used software and university systems. Please speak to our enrolment advisers for more information on this.
Modules
Algorithms and Data Structures (15 credits)
This module provides techniques for using algorithms and associated data structures. It also covers computational thinking and the theoretical underpinnings and practical applications of computer science, covering: programming; control structures; methods; inheritance; arrays and mechanics of running and testing; complexity and implementation of algorithms in programs.
Advanced Programming (15 credits)
This module details advanced programming concepts such as file manipulation, event-driven programming, multi-threaded programming, programming for data analysis and the use of packages and documentation. It also covers the social context of computing: social impact of computers and the internet; professionalism; codes of ethics and responsible conduct; copyrights, intellectual property; and software piracy.
Computer Architecture and Operating Systems (15 credits)
The module covers the concepts of modern computer architecture and system software. After an overview of computer architecture, it then delves into how computer systems execute programs, store information, and communicate. You will also learn the principles, design and implementation of system software such as operating systems.
Artificial Intelligence and Machine Learning (15 credits)
This module explores the field of artificial intelligence along with the principal ideas and techniques in three core topic areas: problem solving, knowledge representation and machine learning. The implications of AI for business and society are also covered.
Computer and Mobile Networks (15 credits)
A sound understanding of internet architecture, protocols and technologies and their real-world applications forms the core of this module. Discussions around networks and the internet, network architecture, communication protocols and their design principles, wireless and mobile networks, network security issues and networking standards feature. The module also covers related social, privacy and copyright issues.
Software Engineering (15 credits)
This module focuses on designing and building software systems. You will look at principles and patterns of software design, where to apply them, and how they inform design choices. You will learn techniques for ensuring systems you build behave correctly. We demonstrate how the application of these principles makes it possible to evolve systems effectively and rigorously.
Big Data Analytics (15 credits)
This module provides skills in data analytics, including the preparation of data, data handling, formulating precise questions and using tools from statistics and data mining to address them.
Cyber Security Threats (15 credits)
Teaching the fundamentals of cyber security and understanding of typical threats. You will become familiar with a range of technologies and regulations that can reduce risk, increase protection and remain compliant.
Research Methods (15 credits)
This module provides you with a range of approaches to research and individual research projects. Formulate research questions appropriate to an area of interest, and evaluate the relationship between question, methodology and method.
Research Proposal (15 credits)
This is an extended research proposal for your final Individual Research Project. The module is created to ensure you are prepared for the IRP in sufficient depth before undertaking final studies. Designed to give you the flexibility of developing a proposal, it explores a work-based problem or one that is driven by your own findings.
Individual Research Project (30 credits)
The 30-credit Individual Research Project (IRP) builds on your Research Project Proposal, defining and developing a plan for research within a particular field of your choice. The IRP is the implementation and write-up of these results. A self-study module, you’ll draw on skills acquired throughout the degree, including self-management, deadlines and subject knowledge.