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Computing Sciences at UEA
Find out more about studying Computing Sciences at UEA, and browse our other courses.
Find out moreMSc Computing Science (Part Time)
Key details
- Attendance
- Part Time
- Award
- Degree of Master of Science
- Course Length
- 2 years
- Course Start Date
- September 2027
Course options
Other Start Dates
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In the UK for Computer Science for Graduate Prospects - Outcomes
The Complete University Guide 202492%
Of our research output is rated as "World-Leading" or "Internationally Excellent”
Research Excellence Framework (REF)Course Overview
Why MSc Computing Science (part-time) at UEA?
Studying computing science equips you with a "future-proof" skill set that is in high demand across every global industry. It bridges the gap between technical expertise and strategic problem-solving, providing you with a direct pathway to some of the world's most demanding career roles.
This master's degree programme can be taken over a two-year period, specifically designed for ambitious graduates from non-computing backgrounds.
Why Choose UEA
- Flexible structure: This programme offers a flexible part-time structure that allows you to earn your master's over two years
- Tech partnership: Curriculum is shaped by global technology partners like Apple, IBM, and BT, ensuring skills remain current and aligned with market demand
- Advanced facilities: You'll have access to our dedicated laboratories such as Data Science and AI lab, equipped with high-spec, industry-grade machines. The lab will provide you a professional-grade environment for your practice and conducting master’s-level projects
What is MSc Computing Science (part-time)?
This conversion master’s requires no prior computing experience, beginning with core fundamentals like application programming, web development, and databases. As you progress, you can tailor your degree toward advanced specialisms such as information visualisation, data mining, and modern technology to match your career goals.
Beyond technical expertise, the programme cultivates essential transferable skills including project management, technical writing, and ethical reasoning. You'll also have the unique opportunity to work alongside world-leading academics on a specialised dissertation project of your choice.
This course transforms you into a professional computing specialist. It’ll equip you with both the practical skills and critical thinking necessary for the modern tech industry.
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Careers
Career Pathways
With a degree in MSc Computing Science Part-Time, you could launch a career in:
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Software Developer
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Database Administrator
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Web and System Administrator
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AI Programmer
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Data Analysist
Career Support
At UEA, we focus on turning your technical potential into professional success. From day one, you'll have access to our specialised Career Central(opens in a new window) team, who provide the tailored mentoring and industry-specific guidance needed to navigate the competitive job markets.
We pride ourselves on equipping you with the necessary portfolio-building skills and professional confidence to secure rewarding, high-quality roles in industry. Our approach delivers proven results: 89% of our graduates move into professional-level employment or pursue further advanced study within 15 months of graduation. Whether you aim to enter the workforce immediately as an AI specialist or use this degree as a gateway toward an ambitious master’s, we provide the expert support and networking opportunities you need to achieve your goals.
After the Course
Your journey with UEA does not end on graduation day, it’s just the beginning of a lifelong rewarding journey. As a graduate, you'll step into the professional world not only with a prestigious degree but also with the backing of our extensive Alumni Network. This vibrant community connects you with former students now leading innovation in top-tier tech firms, startups, and research institutions worldwide.
You may choose to dive straight into a high-impact development role or use your new expertise as a gateway into an ambitious master's degree. Either way, you'll have a world of mentorship and networking opportunities at your fingertips. You’re graduating into a tradition of success, joining a fleet of innovators who are shaping the digital landscape of tomorrow.
Study and Modules
Structure
The structure of this two-year part-time course is very flexible and depends on your work commitment and the time you have for the course. You should consult the course director (and also your employer) to make a study plan to specify exactly what modules to take in each of the four semesters over the two years.
If you already have sufficient knowledge and experience of one or two of the areas covered in the fundamental modules, you may be able to swap them for optional modules, with permission from the course director.
In addition to these essential modules, you’ll choose two modules from optional advanced or specialist modules. Our optional modules can be classified into three themes: Information Systems Development, Data Science, Versatile Computing.
Your study plan should specify what modules you want to take each semester over two years, based on your available time. If you’re not sure how to make your study plan, you should contact the course director to discuss it in detail.
In your first year, you’ll take many essential learning and research methods and skills for doing the course in general and dissertation later more specifically.
Compulsory Modules
Optional A Modules
(Credits: 20)Optional B Modules
(Credits: 20)Important Information
Whilst the University will make every effort to offer the modules listed, changes may sometimes be made arising from the annual monitoring, review and update of modules. Where this activity leads to significant (but not minor) changes to programmes and their constituent modules, the University will endeavour to consult with students and others. It is also possible that the University may not be able to offer a module for reasons outside of its control, such as the illness of a member of staff. In some cases optional modules can have limited places available and so you may be asked to make additional module choices in the event you do not gain a place on your first choice. Where this is the case, the University will inform students.
Structure
In your second year, you’ll take some optional modules and also be allocated a dissertation project so that you can start to work on your dissertation project earlier to spread your dissertation works. Examples of recent dissertation titles include:
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Develop an application of video shot detection
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A LEGO-like solution for small scale IoT applications
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Predicting earthquakes with time series data mining
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Machine learning ensemble methods for identifying fake on-line reviews or fake news
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Predicting the results of tennis matches in real time
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Predicting energy consumption for residential customers using smart meter data
Compulsory Modules
Optional A Modules
(Credits: 20)Optional B Modules
(Credits: 20)Important Information
Whilst the University will make every effort to offer the modules listed, changes may sometimes be made arising from the annual monitoring, review and update of modules. Where this activity leads to significant (but not minor) changes to programmes and their constituent modules, the University will endeavour to consult with students and others. It is also possible that the University may not be able to offer a module for reasons outside of its control, such as the illness of a member of staff. In some cases optional modules can have limited places available and so you may be asked to make additional module choices in the event you do not gain a place on your first choice. Where this is the case, the University will inform students.
Teaching and Learning, and Assessment
Teaching and Learning
We teach a variety of programming and scripting languages including Java, Python, C and C++, SQL, HTML, CSS, and JavaScript. You’ll be working with the software development tools and practices used in the industry right now, getting up to speed with the system development and database principles, gaining computing mathematics fundamental knowledge, practicing professional and employable skills, and building your programming expertise. Teaching methods include team-based learning and hands-on practical experience.
You’ll learn through lectures and then reinforce and expand the lecture materials in seminars and lab classes.
Alongside your formal learning, you’ll study independently to gain a deeper appreciation of specialist topics.
Assessment
We use a range of assessment methods throughout our degree programmes. These include coding, written work, oral presentations or demonstrations, bench demonstrations, vivas, exams, and in-class tests (closed and/or time-limited assessments). These methods will assess both your theoretical understanding and your practical application of knowledge. Assessments are specifically designed to evaluate the full range of skills and competencies required for the learning objectives of each module.
Entry Requirements
- This course is open to
UK and International fee-paying students. Choose UK or International above to see relevant information. The entry point is in September each year.
- Typical UK Entry Requirements
Degree classification
Bachelors degree - 2.2
Degree Subject
Any subject area except Computing Science. Suitable for any with an aptitude in computing (eg work with websites or relevant work experience). This MSc is primarily aimed at students who have not previously studied a degree in computing, or have limited computing knowledge from their undergraduate degree. If you have a computing degree, please check the course modules and content carefully to ensure the programme meets your needs and future career aspirations and requirements. Students with a UK Computing Degree will have covered too much of the content of this course and should consider Advanced Computing Science, Cyber Security, Data Science or Artificial Intelligence.
- Admissions Policy
Our Admissions Policy applies to the admissions of all postgraduate applicants.
- This course is open to
UK and International fee-paying students. Choose UK or International above to see relevant information. The entry point is in September each year.
- Typical International Entry Requirements
Degree classification
UK Bachelors degree - 2.2 or equivalent
Degree Subject
Any subject area except Computing Science. Suitable for any with an aptitude in computing (eg work with websites or relevant work experience). This MSc is primarily aimed at students who have not previously studied a degree in computing, or have limited computing knowledge from their undergraduate degree. If you have a computing degree, please check the course modules and content carefully to ensure the programme meets your needs and future career aspirations and requirements. Students with a UK Computing Degree will have covered too much of the content of this course and should consider Advanced Computing Science, Cyber Security, Data Science or Artificial Intelligence.
- English Foreign Language
Applications from students whose first language is not English are welcome. We require evidence of proficiency in English (including writing, speaking, listening and reading):
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IELTS: 6.0 overall with minimum 5.5 in each component.
We also accept a number of other English language tests. Review our English Language Equivalencies(opens in a new window) for a list of example qualifications that we may accept to meet this requirement.
Test dates should be within 2 years of the course start date.
If you do not meet the English language requirements for this course, UEA International Study Centre offers a variety of English language programmes which are designed to help you develop the required English skills.
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- Admissions Policy
Our Admissions Policy applies to the admissions of all postgraduate applicants.
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Fees and Funding
Tuition fees for the Academic Year 2027/28 are:
- UK Students: £12,950
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International Students: £27,000
If you choose to study part-time, the fee per annum will be half the annual fee for that year, or a pro-rata fee for the module credit you are taking (only available for Home students).
We estimate living expenses at £1,171 per month.
Further Information on tuition fees can be found here(opens in a new window).
Scholarships and Bursaries
The University of East Anglia offers a range of Scholarships(opens in a new window); please click the link for eligibility, details of how to apply and closing dates.
Course Related Costs
Please see Additional Course Fees(opens in a new window) for details of course-related costs.
How to Apply
Applications for Postgraduate Taught programmes at the University of East Anglia should be made directly to the University.
To apply please use our online application form(opens in a new window).
Further information
If you would like to discuss your individual circumstances prior to applying, please do contact us:
Postgraduate Admissions Office
Tel: +44 (0)1603 591515
Email: admissions@uea.ac.uk(opens in a new window)
International candidates are also encouraged to access the International Students(opens in a new window) section of our website.