Computing MSc

This course is in clearing

Overview

Course options

Start date

MSc

Computing MSc, home applicant, full time

  • Home Applicant
  • Full time, 1/2 years
  • Pound 11640 per year. Year 2 Industrial Placement Fee - £3,500

Computing MSc, home applicant, part time

  • Home Applicant
  • Part time
  • Pound 1940 per 30 credit module

Computing MSc, international applicant, full time

  • International Applicant
  • Full time, 1/2 years
  • Pound 17220 per year. Year 2 Industrial Placement Fee - £3,500

MSc with Placement Year

Computing MSc, home applicant, full time

  • Home Applicant
  • Full time, 1/2 years
  • Pound 11640 per year. Year 2 Industrial Placement Fee - £3,500

Computing MSc, international applicant, full time

  • International Applicant
  • Full time, 1/2 years
  • Pound 17220 per year. Year 2 Industrial Placement Fee - £3,500

What makes this course different

Flexible

Our flexible course offers a unique selection of modules in cutting-edge and emerging areas, allowing you to specialise in area of your choice.

Industry recognised

Many of the advanced modules incorporated within the programme are offered as stand-alone professional development short courses, giving industrial repute to these modules and programme as a whole.

Industry experienced

Practical work, projects and dissertation will be based on real-world industrial applications and current research supervised by subject experts at the forefront of emerging and established areas of the field.

Course modules

NOTE: Modules are subject to change. For those studying part time courses the modules may vary.

Download course specification

What we're researching

The University of East London is conducting top-notch research in the broader area of Artificial Intelligence (AI), ranging from Fintech to stock market prediction, to computer vision to inventing scalable intelligent algorithms to solve the large-scale big data problem.

According to Google Scholar's index, the University's AI research is attracting more than one scholarly citation per day globally.

The University has strong research collaborations with other academic and industrial institutions; such as the University of Oxford, Queen Mary, University of Southampton, Accenture, Microsoft, and Amazon.

The department is producing cutting edge research in the areas including stock market prediction, insurance fraud detection, recommender systems, cyber security using AI, Intelligent Tutoring Systems and neural networks.

We have two research groups, which are closely aligned to the modules that are delivered for this course. These research groups are: Intelligent Systems and Software Systems Engineering.

In Software Systems Engineering, we're part of the European Union's anti-piracy ASPIRE Project (Dr Paolo Falcarin). We're also researching: security requirements and risk management (Dr Shareeful Islam), software engineering and program analysis (Dr Rawad Hammad); and digital forensics studies led by Dr Ameer Al-Nemrat.

In Intelligent Systems, we specialise in a wide range of artificial intelligence based research such as intelligent tutoring system and adaptive e-learning (Dr Rawad Hammad, Dr Saeed Sharif), virtual reality (Julie Wall), neural networks (Dr Sin Wee Lee), activity recognition and machine learning (Dr Amin Karami).

This group also conducts research on Big data (Dr Amin Karami) and ambient assisted living (Dr Saeed Sharif).

Your future career

Almost all industries and business sectors and being heavily automated and there is a move towards the use of emerging technologies such as Big Data, Artificial Intelligence, Internet of Things and Cloud Computing to develop modern products and solutions. In addition to this, cybersecurity is of major importance to the government and businesses in all sectors.
There is a shortage of personnel with advanced skills in these emerging and growing fields, and graduates of this programme can progress to work in a multitude of roles and industries. This can be direct technology industry, related banking and financial sectors or diverse ones such as agriculture, healthcare, manufacturing and automotive.

Job roles

As a graduate of this programme, you'll have a solid understanding of the main disciplines that fall under these emerging and current areas. The kind of role you could go into includes:

  • Business Analyst / Business Intelligence
  • Senior Software Architect / System Architect
  • IT Project Manager / IT Consultant / IT Programme Manager
  • Software Engineering / System Developer
  • AI Specialist / Robotics
  • IoT Specialist / Smart Device Programmer
  • IT Infrastructure Manager
  • Cloud Architect

This qualification is also heavily influenced by current research and developments that are at the forefront of the respective fields. It lends itself to a career in research and academia. Many of our graduates are expected to progress on to an MPhil/PhD and take on careers in research and academia.

Explore the different career options you can pursue with this degree and see the median salaries of the sector on our Career Coach portal.

How we support your career ambitions

We offer dedicated careers support, and further opportunities to thrive, such as volunteering and industry networking. Our courses are created in collaboration with employers and industry to ensure they accurately reflect the real-life practices of your future career and provide you with the essential skills needed. You can focus on building interpersonal skills through group work and benefit from our investment in the latest cutting-edge technologies and facilities.

Career Zone

Our dedicated and award-winning team provide you with careers and employability resources, including:

  • Online jobs board for internships, placements, graduate opportunities, flexible part-time work.
  • Mentoring programmes for insight with industry experts 
  • 1-2-1 career coaching services 
  • Careers workshops and employer events 
  • Learning pathways to gain new skills and industry insight

Mental Wealth programme

Our Professional Fitness and Mental Wealth programme which issues you with a Careers Passport to track the skills you’ve mastered. Some of these are externally validated by corporations like Amazon and Microsoft.

Our Mental Wealth programme

We are careers first

Our teaching methods and geographical location put us right up top

  • Enterprise and entrepreneurship support 
  • Ranked 2nd for graduate start-ups (2023/24) 
  • Networking and visits to leading organisations 
  • Support in starting a new business, freelancing and self-employment 
  • London on our doorstep

How you'll learn

As a key element of this course, you will be asked to complete a dissertation on an aspect of one of the cutting-edge computer science areas of your choice. Whatever topic you choose, your dissertation needs to make a contribution to the field, and you will be supervised by a leading academic spearheading research in that particular domain. Throughout, you will be encouraged to focus on the real practical needs of the industry and form solutions around those.

How you'll be assessed

You will be assessed using a mixture of practical coursework and a theory exam. Coursework can take a variety of forms, including laboratory work, data analysis and oral presentations. 

The Research Dissertation is assessed on a final written report, a poster presentation and a practical component. You will receive detailed feedback on all assessment outlining strengths and areas of improvement.

Campus and facilities