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Why choose the School of Computer Science and Technology
Our computing courses rank 4th overall in their subject field in the Postgraduate Taught Experience Survey 2024, with top 3 rankings across five survey areas (teaching, engagement, learning community, assessment and organisation).
Our block delivery course structure gives you year-round entry points and intermediate qualifications so you can tailor your learning to fit around your life.
Gain workplace-ready skills with our practical, hands-on approach; project management units; and progressive syllabus.
About the course
This Master’s is designed for graduates and experienced programmers who want to solve real-world problems; evaluate advanced software engineering environments; and build complex software applications based on emerging technologies. Alongside developing your project management skills, the course aims to provide you with a critical understanding of software engineering techniques. You explore a range of topics from databases, advanced programming, design patterns and data modelling to popular development platforms, cloud computing and the Big Data eco-system.
Facilities and specialist equipment
- Modern STEM building with purpose-built facilities, including a high-tech CCNA Academy computer networking suite and dedicated computing rooms
- Cutting-edge technologies such as agile development; front-end and back-end applications; containerisation; cloud native orchestration; and the provision of high-performance infrastructure using GPU clusters, so you become familiar with the tools used in industry right from the start
- Access to virtual private cloud, downloadable Microsoft developer tools and VMware Workstation
- Bespoke lecture theatres, presentation rooms and group study spaces
Student experience
Our faculty’s active involvement in real-world research and consultancy feeds directly into the course delivery, ensuring you are kept up-to-date with the latest advancements in the field.
Learn to solve real-world problems with hands-on projects involving state-of-the-art technologies.
Expand your horizons with subject-relevant field trips and interactive workshops held by external speakers.
Personalise your learning experience with block teaching, flexible entry points and your choice of MSc research project.
Develop sought-after project management skills with integrated course units, improving core competencies such as critical analysis; self-evaluation; advanced problem solving; and effective communication.
Benefit from your own personal academic tutor.
Course Leader - Dr Renxi Qiu
Renxi's research has been focused on semi-autonomous robot systems with adaptive autonomy. In recent years, the emphasis is placed on AI powered robotics supported by 5G/6G technologies and cloud computing. By sharing knowledge among robots, edge and cloud resources, the connected intelligence enhances the robot autonomy and improves the robustness of the robots in deployment.
Course Leader - Dr Renxi Qiu
Renxi's research has been focused on semi-autonomous robot systems with adaptive autonomy. In recent years, the emphasis is placed on AI powered robotics supported by 5G/6G technologies and cloud computing. By sharing knowledge among robots, edge and cloud resources, the connected intelligence enhances the robot autonomy and improves the robustness of the robots in deployment.
Course Leader - Dr Renxi Qiu
Renxi's research has been focused on semi-autonomous robot systems with adaptive autonomy. In recent years, the emphasis is placed on AI powered robotics supported by 5G/6G technologies and cloud computing. By sharing knowledge among robots, edge and cloud resources, the connected intelligence enhances the robot autonomy and improves the robustness of the robots in deployment.
Course Leader - Dr Renxi Qiu
Renxi's research has been focused on semi-autonomous robot systems with adaptive autonomy. In recent years, the emphasis is placed on AI powered robotics supported by 5G/6G technologies and cloud computing. By sharing knowledge among robots, edge and cloud resources, the connected intelligence enhances the robot autonomy and improves the robustness of the robots in deployment.
Course Leader - Dr Renxi Qiu
Renxi's research has been focused on semi-autonomous robot systems with adaptive autonomy. In recent years, the emphasis is placed on AI powered robotics supported by 5G/6G technologies and cloud computing. By sharing knowledge among robots, edge and cloud resources, the connected intelligence enhances the robot autonomy and improves the robustness of the robots in deployment.
Course Leader - Dr Renxi Qiu
Renxi's research has been focused on semi-autonomous robot systems with adaptive autonomy. In recent years, the emphasis is placed on AI powered robotics supported by 5G/6G technologies and cloud computing. By sharing knowledge among robots, edge and cloud resources, the connected intelligence enhances the robot autonomy and improves the robustness of the robots in deployment.
What will you study?
Studying our Software Engineering and Applications with Project Management MSc course will equip you with the in-depth knowledge and skills in areas including advanced programming, popular development platforms and open-source frameworks. Through an integrated approach, you will discover how leadership and operations management work closely together in contemporary organisations in our Leading and Managing Organisational Resources unit while analysing how this impacts financial performance. Based on contemporary research, you will also evaluate the role of Project Management in a software engineering setting as well as analyse key project management approaches and methodologies that will enable you to approach new projects and successfully complete them.
You will also have the opportunity to explore the area of Cloud Computing through our unit in Distributed and Parallel Computing Technologies, where you will gain an understanding of the fundamental concepts of parallel and distributed computer systems. This unit will also allow you to develop your analytical skills to identify and evaluate modern computing platforms while considering current and emerging trends in the field. In practical areas of study, you will be introduced to the fundamental concepts of Software Design Patterns and Data Architectures while also developing your analytical and practical skills to evaluate technologies and its real-world applications.
Furthermore, you will explore and evaluate Applied Software Development Techniques and Applications of Open Source Frameworks to build on your theoretical understanding and practical skills in the area. Finally, you will complete an MSc Project in Software Engineering and Applications that will allow you to bring your acquired skills and knowledge together in practice. You can take this opportunity to work on a topic of interest to you that is relevant to your field of study. To help you with this, you will be equipped with the skills and knowledge around Research Methodologies and Project Management that will prepare you to engage with scientific work, data analysis, establishing hypotheses and understanding research.
To add to this, our unit in Developing Independent Research will support you in producing a good research proposal where you will learn to present your critical evaluations conclusions to a professional standard. In addition, to prepare you for your career, our Personal Professional Development unit will support your career progression by enhancing your employability skills as you shape your own professional development journey and goals with help from our scheduled coaching.
How will you be assessed?
The assessment strategy used is a balance of written Academics formal invigilated examinations (coursework) assignments and computer-based assessment. All assessments used in the course are in perfect alignment with QH8 using the formal descriptors as descripted in the policy. The method used will depend on the nature of the subject being taught in the unit and the most appropriate method is chosen. Students will also have the opportunity to engage into formative assessment throughout the course especially during exercises in the practical sessions where feedback on progress and performance will be given by their tutors for each of the tasks allocated.
The assessment strategy for this course is designed around a holistic evaluation on knowledge and skills acquired with strong emphasis on the requirements for this mode of delivery and diverse skills background and expectations of the target audience. The feedback on your submitted assessments will be provided within 15 working days. The lecturers are expected to take every effort to provide you the feedback as early as possible before the next assessment if any. If you fail an assessment and need to retake or resit the assessment you can do so in the next available opportunity which is normally in the assessment week of the next block. If you fail a unit and need to retake this unit you can do so when the unit is run again.
Careers
On successfully completing this course you will have built the skills and expertise needed to follow a career as a professional software developer creating applications for the latest emerging technologies. Your additional skills in project management put you in a good position to take on extra responsibilities and team-leading roles.
Other potential roles include software engineer; programmer; data or system analyst; software consultant; and project manager.
You could also progress to further study at MSc by Research MPhil or PhD level.
