About

Our MSc Advanced Computing course is an advanced course of study for computing graduates focusing on issues such as internet of things (IoT) and big data. It is designed to develop your practical development skills. It will enable you to develop a comprehensive understanding of advanced computing technologies within industry and academia as well as acquire hands-on experience.

The availability of high speed internet and advancement in data processing, persisting and provisioning technologies along with miniaturization of sensing devices have opened new opportunities to utilise data to obtain a better understand of many application areas. Advanced computing technologies provide a roadmap of technological innovation across science and engineering domains. The MSc Advanced Computing is a specialist postgraduate degree focused on teaching advance topics of internet-of-things, big data and e-health.

Common modules focus on the key themes of advanced computing and on planning, analysing, developing, evaluating, deploying, and managing advanced computing systems and services for modern day organisations and businesses.

Our MSc Advanced Computing course is an advanced course of study for computing graduates focusing on issues such as internet of things (IoT) and big data. It is designed to develop your practical development skills. It will enable you to develop a comprehensive understanding of advanced computing technologies within industry and academia as well as acquire hands-on experience.

The availability of high speed internet and advancement in data processing, persisting and provisioning technologies along with miniaturization of sensing devices have opened new opportunities to utilise data to obtain a better understand of many application areas. Advanced computing technologies provide a roadmap of technological innovation across science and engineering domains. The MSc Advanced Computing is a specialist postgraduate degree focused on teaching advance topics of internet-of-things, big data and e-health.

Common modules focus on the key themes of advanced computing and on planning, analysing, developing, evaluating, deploying, and managing advanced computing systems and services for modern day organisations and businesses.

WATCH A VIDEO FROM THE PROGRAMME LEADER

Our Programme Leaders have recorded videos to help you discover all there is to know about our courses. From professional accreditation to programme modules and career opportunities, our Programme Leaders will help answer all your questions. You can view the video for this course by clicking the link below.

Advanced Computing Programme Leader

Disciplines

Computing Engineering & Physical Sciences

Requirements

Entry Requirements

 Applicants must hold a Bachelor’s degree pass  For programmes requiring Honours Degree applicants must have achieved the following grades:  Excellent  Good  Very Good

English Requirements

IELTSMin 6
TOEFLMin 78

English Program Requirements

If you do not fall into any of the categories above you will need to provide proof of your English language ability through the International English Language Test System (IELTS) or the Test of English as a Foreign Language (TOEFL).

Duo Lingo

For 2022-23 entry, the University has approved the use of the online Duolingo English test as evidence of English language ability. UWS will accept an overall score between 90-115 with no component score below 90.

Career

Career Prospects

Jobs

Graduates are currently working in roles including: data scientist, data architect, big data consultant, ML/AI engineer, application developer, DevOps manager and more.

Further Study

Successful completion of our MSc Advanced Computing course prepares you for advanced research studies in related technology areas. You will be able to apply for MPhil/PhD degree course.

More Information

Upon successfully completing your PgDip, you can then proceed to the MSc research project / dissertation which allows you to further specialise on a topic of your choice based on your interest either in the University or, where possible, in a company. Examples of recent project topics include:

Blockchain for autonomous vehicle decision auditing and security; fooling neural networks, opening up the 'black box'
Predicting the impact of major events along George square on road traffic flow and other environmental factors using machine learning
From Manual Data Analysis to Self Service Business Intelligence: The Process of Automation within Local Government
Implementing predictive analysis on open source data for the Betterment of higher education in Scotland
Intelligent point machine maintenance through internet of things

Fee Information

How to Apply

1. Choose a course

Explore the courses on offer.

2. Check entry requirements

Check if your academic qualifications and English Language levels meet the course entry requirements.

3. Contact TEG Admissions Team

Fill out the enquiry form below and one of our team will be in touch.

4. Prepare the documents

Once you have had a call with us, compile the required documents to be submitted.

5. Write a personal statement

Check out our guide on how to write a personal statement.

6. Submit an application

Fill out an application form here.

7. Accept the offer, if successful

Once your application has been processed, we will contact you by email to confirm the outcome. If successful, you will receive an offer letter which will detail your next steps.

8. Pay the deposit

You will be required to pay a deposit to secure your place at the university.

9: Attend a TEG credibility interview

The purpose of this interview is to assess if students are credible and genuine. At this stage you will need to prepare your CAS documents for review.

10. Apply for Visa

International students, including nationals from EEA or Switzerland, would require a student visa to study at UWS London.

Advanced Computing MSc