Master of Applied Technologies-Computing

Summary

For ICT professionals interested in exploring their research ideas further and adding high-level specialist skills to their qualifications, this Master's programme ticks all the boxes.

The Master of Applied Technologies (Computing) gives you the skills to undertake systematic research and solve complex applied computing problems in a specialisation of your choice: data analytics and intelligence, cybersecurity and networking or software development. You could also take an interdisciplinary approach.

You may undertake a 90-credit applied research thesis based on a topic relevant to your experience and interest, or design and carry out an applied project by combining two courses - Applied Project (30 credits) and Applied Research Project (60 credits).

It's a highly flexible programme tailored to your career and research goals, providing an accelerated path to a Master's level qualification and enabling you to contribute high-quality, meaningful work to the computing industry.

What you'll learn:

• Analyse complex real-world problems using advanced technical and theoretical knowledge, then develop effective digital solutions that deliver the best results. This includes reflecting on your performance and what you and your team can do to improve.
• Evaluate ever-changing and disruptive ICT environments with critical thinking and interdisciplinary strategies.
• Critically analyse and develop your professional practice to promote open communication, inclusivity and ethical conduct.

Highlights

• ​Earn and learn. This programme is highly flexible with blended learning (online, self-directed research, weekend on-campus classes), making it a great option for students and ICT professionals who want to work and study.
• Move your career up a level. With a postgraduate qualification, you'll acquire higher-level knowledge and the necessary skills for your specialisation, strengthening your CV and the likelihood of a higher salary.
• Made to fit your career goals. Most courses are elective - you can focus on one specialisation or a mix of all three and select the classes that suit your life schedule.
• Research-led. Design and carry out your applied research and collaborate with other professionals.
• Flexible, applied learning. Undertake a thesis (90 credits) or design and carry out an applied project (two courses: 60 credits and 30 credits).
• State-of-the-art facilities. You can apply what you've learned in our on-campus computer labs, which you can access seven days a week.
• Learn from the best. You'll be guided and supported by highly qualified and experienced IT practitioners who are experts in their respective fields.

Choose a specialisation

Cybersecurity and Networking
Cybersecurity and computer networks are constantly evolving and growing areas of IT, particularly as more organisations move their operations online and rely on virtual computer networks and cloud services. With cyber-attacks and remote-work security risks on the rise, the technology industry needs cybersecurity professionals and network engineers with the skills and strategic thinking to detect vulnerabilities, mitigate risks and develop policies and procedures for maintaining security in various computer network settings and cloud services - and that's exactly what the courses in this specialisation focus on. You'll analyse complex attacks, apply security protection mechanisms and assess potential internal and external threats and protective strategies.

Software Development
Software engineering regularly rates as one of the top jobs in the world. Why? In this field, you can apply your skills in a wide variety of industries and projects. Over time, experienced software developers usually acquire one or more areas of specialisation - something employers often look for to fill higher-level positions. The courses in this specialisation focus on software development strategies and advanced technical skills such as machine learning, the Internet of Things and web development.

Data Analytics and Intelligence
Hailed by many as one of the most in-demand tech talents, data analytics is a burgeoning industry. Businesses rely on data intelligence to optimise performance, maximise profit, improve customer experience and make fast, data-driven decisions. Therefore, they need people with a deep understanding of best practice techniques and data analytics processes. The courses in this specialisation concentrate on applying data analytics tools to identify and solve issues in data-driven projects.

Thesis research topics Choose from a wide range of thesis topics supported by highly-qualified supervisors to focus on ...