The MSc in Software Development is designed in collaboration with industry to provide an intensive education experience in software development and is specifically designed for graduates of non-computing disciplines. It has an extremely high graduate employability rate and is consistently one of the highest rated MSc computing courses for student satisfaction in the UK.
This part-time option is taught in the evenings (one to two evenings a week per semester) and spread over 3 years to allow you to study while in full-time employment. The course is completed entirely online, with our innovative live online lectures and interactive lab sessions. All learning materials are hosted on our virtual learning environment, in addition to pre-recorded bite-sized lecture content videos (available before each lecture), feedback quizzes to check your progress, as well as individual support from our lecturers and tutors. You can also optionally attend our on-campus labs on the teaching nights for additional tutor support or if you need a quiet environment to work in.
You also have the option of completing in 2 years. A dissertation project or specialised Mini Project modules can be commenced in the third semester of the second year of the course, once all the taught modules are successfully completed. The project or Mini Project modules must be undertaken full time to enable successful completion in that semester.
COURSE CONTENT:
You will learn the foundations of computing and acquire industry relevant skills. These core skills include programming, databases, web development, software engineering and problem solving. You need no computing background at all to do this course, but on successful completion, you will be equipped with the technical, analytical and professional skills required to take on a range of roles in the computing industry.
The curriculum was designed and is continually reviewed in collaboration with significant industrial partners, who helped ensure the most relevant module content. This helps ensure that our graduates are highly trained and much sought after by employers.
WHO WILL BE TEACHING YOU:
Many of the course teaching team have worked in the computing industry and have particular research specialisms in developing novel and effective methods for teaching computing. Several of the team have been awarded student-nominated teaching awards for their work.
WHAT YOU'LL GET UP TO:
You’ll learn how to analyse problems and design robust and elegant software systems to solve the problems. This includes gaining skills in programming, web development, database design, software testing and software engineering.
You will also have the opportunity to learn how to work as part of a development team using modern development techniques and tools.
We have created a short taster session to give you a hands-on introduction to coding and a sense of what to expect during your first week of class. You can access it here: http://go.qub.ac.uk/try-software-dev
PLEASE NOTE:
Applications for this course received after 12th August 2026 may not be accepted. In addition, a deposit will be required to secure a place.
This course is also available for full-time study. Search our course listings for more information.
Software Development (Part Time) highlights
Industry Links
Alongside the core course curriculum, students are also encouraged to take part in a series of Employment and Professional Skills Workshops, which run at regular intervals during the year. The workshops cover CV writing, Technical Interview Technique, Assessment Centres, etc. and later involve events to allow students to network with representatives from some of the largest employers in the Software Development sector in ¶¶Òõ¶ÌÊÓƵ. Students get the opportunity to mix with a diverse industrial group, ranging from testers and developers up to senior managerial level staff. Students also have the opportunity to get involved in other industrially sponsored events such as hackathons etc.
Career Development
The School has a team of staff specifically dedicated for the development of student employability skills alongside technical capabilities. They provide a range of services to help students gain employment during the course, eg one-on-one CV advice and mock job interviews etc.
Student Experience
The course is the highest rated for overall student experience Computing Master course in the UK (2023). This includes excellence in student experiences in the quality of teaching and learning, student engagement, quality of assessment and feedback, organisation and management, learning resources and careers and employability.
The course encourages a hands-on approached to learning, with an emphasis on learning by doing. We provide videos of lecture content and continually offer you with opportunities to gauge your progress in each module through self-assessments and practical activities and challenges.
A set of taught modules which build from foundational to advanced topics of software engineering and programming.
A substantial individual project.
Modules
Year 1:
Programming
Computing Fundamentals
Year 2:
Databases
Software Engineering
Web Development
Year 3: (or completed fulltime in fast track in Full Time mode Semester 3 of year 2)
A substantial project based element
The foundational modules are studied in the first year and cover introductory programming using the Java programming language and progressing to advanced algorithmic and object-oriented programming. This runs alongside the computing foundations module which includes foundational knowledge of computing including numerical representations, abstract data types, algorithms, and an introduction to Artificial Intelligence.
The second year further expands upon Software Development skills and concentrates coverage of Databases, together with modern Web based programming (JavaScript, Node JS, Express JS) and Software Engineering (with a team based project).
Alongside these structured activities, students are expected to work on group and individual assignments and projects.
Project: Three-month projects are taken individually (in part-time mode) or if you choose to go full time at the end of semester 2, year 2 then you have the option to study 3 x Mini-Project modules*, which are constantly updated giving you an opportunity to study some state-of-the-art specialisms in Computing such as: User Experience Design, Data Analysis & Visualisation, Cloud Computing and Machine Learning.
(*subject to availability)
Project Element
The MSc project will take place during the third year of study.
People teaching you
Software Development Course Director
School of EEECS Email: askeps@qub.ac.uk
Teaching Times
Teaching takes place on two evenings per week with approximately 6 hours of timetabled activity each week.
Learning and Teaching
The course will be delivered in a distance based blended format. This involves students working through guided online course materials in their own time, with teaching contact on two evenings each week to participate in active learning sessions with their lecturers. If students require assistance while they are working through materials at home then they will be able to contact their lecturers using a number of methods.
Each taught module generally involves approximately 3 hours of contact time in interactive tutorials/computer lab sessions per week along with approximately 2 hours per week of guided online study. Alongside these structured activities, students are expected to work on group and individual assignments and projects.
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Assessment
Assessments associated with the course are outlined below:
Individual and group-based projects
Assignments
Practical examinations
Computer-based examinations
The MSc project taken in the third year of study is assessed through a written dissertation alongside the presentation and demonstration of the created software artefact.
What our academics say
"The curriculum of the MSc Software Development was designed through collaboration with significant industrial partners who helped select the most relevant module content to prepare the students for a range of software development roles. This has helped ensure that the graduates are highly trained and much sought after by employers."
Aidan McGowan - Director of Postgraduate Courses (EEECS)
The information provided in this Course Finder reflects the module details for the current year of study (2025/26). Please note that modules are subject to annual review and changes may occur in response to various factors, including student feedback and academic developments. Prospective students will be notified of any significant changes to module offerings before the start of the new academic year.
- Principles of programming – including variables, selection, iteration, strings and arrays and how these techniques are realised within the Java programming language.
- Principles of object-oriented design and development – objects, classes, methods, interfaces, abstraction, inheritance, encapsulation and polymorphism.
- Recursion, Threads, Advanced Exception handing, Events. Java Collection framework including - Lists, Sets, Queues, Maps, Sorting, Searching. Programming to an interface. Generics.
- SOLID principles, Common Design Patterns
Learning Outcomes
On completion of this module, the successful student will have achieved the following learning outcomes, commensurate with module classification. The student should be able to:
• Demonstrate knowledge, understanding and application of the basic principles of programming – including variables, documentation, selection, iteration, strings and arrays and how these techniques are realised within the Java programming language.
• Demonstrate knowledge, understanding and application of the principles of object-oriented design – objects, classes, methods, interfaces, abstraction, inheritance, encapsulation and polymorphism, SOLID principles.
• Demonstrate knowledge, understanding and application of some advanced principles of programming – including exception handling, threading, recursion, data collection, Generics, Lambda, design patterns and other industry relevant advanced topics and how these techniques are realised within the Java programming language.
Skills
This module provides an opportunity to exercise aspects of the following QCA Key Skills (at proficiency Level 4): Application of Number, ICT, Improving Own Learning and Performance, Problem Solving. During the module students will develop:
• Analytical and problem solving skills
• Design, implementation, testing and debugging computer coded programs
• Critical and creative thinking
•Number Systems and Arithmetic: Integer representation in Binary and Hexadecimal, conversion between Base 10, Base 2 and Base 16, performing binary addition and subtraction using Two’s Complement notation, fraction and decimal number representation using Floating-point notation.
•Boolean Logic and Algebra: Using Boolean operations (e.g., AND, OR, NOT, XOR, NAND, NOT) to evaluate truth tables and model logic gates for digital circuits, use of Equivalence Laws to simplify logic expressions, use of Predicate Logic to extend Boolean logic.
•Data Structures and Algorithms: Understanding primitive and abstract data types (e.g., Arrays, Stacks, Queues, Lists, Trees), iterative and recursive approaches to problem solving, sorting and searching algorithms, algorithms analysis using Big O notation.
•Computer Architecture: Understanding the concept of the Von Neumann Architecture, examining core hardware components (e.g., CPU, Bus, Main Memory), understanding the Instruction Cycle, Data Storage and Memory Segmentation.
•Operating Systems: Classifying software taxonomy, exploring OS architecture, memory management and process administration, understanding deadlock, interacting with Command Line Interfaces (UNIX-based), introduction to version control workflows using Git.
•Networking and Cybersecurity: Classifying network taxonomy, understanding Internet addressing, DNS, and related protocols, introduction to Cybersecurity topics (e.g., Social Engineering, Access Control, Security Control).
•Current & Emerging Technology Trends: Introduction to AI (fundamentals and evolution), overview of Machine Learning approaches, approaches to AI-Augmented Development.
Learning Outcomes
On completion of this module, students will be able to:
•Analyse the mathematical and logical foundations of computing, executing number system conversions and binary arithmetic, and modelling digital logic using Boolean and Predicate logic.
•Apply algorithmic solutions to computational problems and analyse algorithm performance using established complexity measures.
•Demonstrate a systematic understanding of the principles of computer architecture and operating systems in supporting instruction execution, memory management and process control.
•Identify and analyse core networking principles and current threats and challenges to the security of software systems.
•Demonstrate a foundational understanding of the principles and practices of emerging computing technologies.
•Data Storage Architectures and Characteristics: Overview of the evolution of data storage models, exploring key characteristics associated with select database systems.
•Database Design and Conceptual Modelling: Comprehensive database design and modelling processes, including application of conceptual frameworks such as dependency theory and normalisation, alongside data schema design.
•Data Management, Security, and Performance: Advanced database administration focusing on system efficiency and secure engineering, encompassing performance tuning approaches alongside foundational security measures.
Learning Outcomes
On successful completion of this module, students will be able to:
•Design, implement, and populate a sophisticated database by applying conceptual data modelling processes and critically evaluating structural trade-offs.
•Compose and execute complex data retrieval operations to extract conditional data utilising approaches to suit the specific structural characteristics of the underlying data storage model.
•Demonstrate a systematic understanding of advanced database operations such as functions and transactions.
•Apply robust database management and security practices, demonstrating an understanding of foundational data management topics, including data security, encryption, and protective measures.
Core Software Engineering principles and practices including:
•Historical, legal & ethical context
•Requirements analysis and specification
•Use of UML for design/process documentation
•System Architectures
•Agile Development processes and practices
•Introduction to User Experience Design
•Devops and continuous delivery
Learning Outcomes
On completion of this module, the successful student will have achieved the following learning outcomes, commensurate with module classification. The student will be able to:
• Demonstrate knowledge and understanding of the technical, planning and documentation activities that may take place during a significant software development project from requirements analysis through to software delivery
• Analyse and specify client requirements
• Compose UML diagrams to describe a software design or process
• Apply the principles and practices of Agile Development
• Design and implement a large software system
• Demonstrate knowledge and understanding of the professional, wider
business, legal and ethical responsibilities and frameworks that are relevant to Software Engineers and their organisations.
• Critically evaluate and balance quality indicators in the design and development of software solutions, components or projects, identifying and resolving deficiencies and understanding the importance of quality and fitness for purpose.
• The module will teach emerging, recent and relevant web technologies that are used to develop software solutions for web-based deployment.
• Client-side web technologies will be introduced and covered, including HTML5, CSS, and JavaScript.
• Server-side web technologies will also be introduced and covered that are crucial for contemporary web development, including server-side JavaScript, Node JS, web
frameworks and REST APIs.
• The module will require students to design, implement and test their own data driven web application in response to a given specification.
Learning Outcomes
On completion of this module, the successful student will have achieved the following learning outcomes, commensurate with module classification. The student will be able to:
•Demonstrate knowledge and understanding of modern client-side technologies and their strengths and weaknesses;
•Demonstrate knowledge and understanding of web programming languages used in data-driven web based development
•Design and implement an effective, interactive and dynamic web based systems
Normally a 2.2 Honours degree or above, or equivalent qualification acceptable to the University in any discipline excluding Computer Science or other similar Computing degree.
Applicants are advised to apply as early as possible and ideally no later than 30th June 2026 for courses which commence in late September. In the event that any programme receives a high number of applications, the University reserves the right to close the application portal prior to the deadline stated on course finder. Notifications to this effect will appear on the application portal against the programme application page.
Please note: A deposit will be required to secure a place on this course.
Applicants who do not meet the above entry requirements may be considered for admission under Recognition of Prior Experiential Learning (RPEL). Please visit the link below for more information.
International Students
Our country/region pages include information on entry requirements, tuition fees, scholarships, student profiles, upcoming events and contacts for your country/region. Use the dropdown list below for specific information for your country/region.
English Language Requirements
Evidence of an IELTS* score of 6.0, with not less than 5.5 in any component, or an equivalent qualification acceptable to the University is required.
*Taken within the last 2 years.
International students wishing to apply to Queen's University ¶¶Òõ¶ÌÊÓƵ (and for whom English is not their first language), must be able to demonstrate their proficiency in English in order to benefit fully from their course of study or research. Non-EEA nationals must also satisfy UK Visas and Immigration (UKVI) immigration requirements for English language for visa purposes.
If you need to improve your English language skills before you enter this degree programme, Queen's University ¶¶Òõ¶ÌÊÓƵ International Study Centre offers a range of English language courses. These intensive and flexible courses are designed to improve your English ability for admission to this degree.
: an intensive English language and study skills course for successful university study at degree level
: a short intensive academic English course for students starting a degree programme at Queen's University ¶¶Òõ¶ÌÊÓƵ and who need to improve their English.
Employment opportunities in software engineering are excellent, as evidenced through the consistent and continued growth of the software sector. A career within the profession is not only well remunerated but also rewarding, with software professionals able to select between a range of career progression paths. Given the diversity of careers, the variety of skills gained from a non-IT primary degree are strongly valued by IT employers and will help augment the employment opportunities of graduates from this programme.
Queen's postgraduates reap exceptional benefits. Unique initiatives, such as Degree Plus and Researcher Plus bolster our commitment to employability, while innovative leadership and executive programmes alongside sterling integration with business experts helps our students gain key leadership positions both nationally and internationally.
Graduate Plus/Future Ready Award for extra-curricular skills
In addition to your degree programme, at Queen's you can have the opportunity to gain wider life, academic and employability skills. For example, placements, voluntary work, clubs, societies, sports and lots more. So not only do you graduate with a degree recognised from a world leading university, you'll have practical national and international experience plus a wider exposure to life overall. We call this Graduate Plus/Future Ready Award. It's what makes studying at Queen's University ¶¶Òõ¶ÌÊÓƵ special.
1EU citizens in the EU Settlement Scheme, with settled status, will be charged the NI or GB tuition fee based on where they are ordinarily resident. Students who are ROI nationals resident in GB will be charged the GB fee.
2 EU students who are ROI nationals resident in ROI are eligible for NI tuition fees.
3 EU Other students (excludes Republic of Ireland nationals living in GB, NI or ROI) are charged tuition fees in line with international fees.
All tuition fees quoted relate to a single year of study unless stated otherwise. Tuition fees will be subject to an annual inflationary increase, unless explicitly stated otherwise.
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Additional course costs
Terms and Conditions for Postgraduate applications:
1.1 Due to high demand, there is a deadline for applications.
1.2 You will be required to pay a deposit to secure your place on the course.
1.3 This condition of offer is in addition to any academic or English language requirements.
All Students
Depending on the programme of study, there may be extra costs which are not covered by tuition fees, which students will need to consider when planning their studies.
Students can borrow books and access online learning resources from any Queen's library. If students wish to purchase recommended texts, rather than borrow them from the University Library, prices per text can range from £30 to £100. Students should also budget between £30 to £75 per year for photocopying, memory sticks and printing charges.
Students undertaking a period of work placement or study abroad, as either a compulsory or optional part of their programme, should be aware that they will have to fund additional travel and living costs.
If a programme includes a major project or dissertation, there may be costs associated with transport, accommodation and/or materials. The amount will depend on the project chosen. There may also be additional costs for printing and binding.
Students may wish to consider purchasing an electronic device; costs will vary depending on the specification of the model chosen.
There are also additional charges for graduation ceremonies, examination resits and library fines.
How do I fund my study?
The Department for the Economy will provide a tuition fee loan of up to £6,500 per NI / EU student for postgraduate study. Tuition fee loan information.
A postgraduate loans system in the UK offers government-backed student loans of up to £11,836 for taught and research Masters courses in all subject areas (excluding Initial Teacher Education/PGCE, where undergraduate student finance is available). Criteria, eligibility, repayment and application information are .
