Master of Science in Computer Science

The University of East London (UEL) is a public university in the UK and is recognised as such by the UK government. They are a careers-led university, dedicated to supporting students to develop the skills, emotional intelligence, and creativity needed to thrive in a constantly changing world. It has two campuses in London -  Stratford and London Docklands. Their ambitious but achievable goal is to become the leading careers-focused, enterprising university in the UK, one which both prepares students for jobs of the future and provides the innovation to drive that future sustainably and inclusively. UEL and its predecessor institutions have a number of notable academic staff and alumni, including politicians, business people, authors, actors, musicians, and sportspeople.

• According to the recently published QS rankings for 2021, UEL ranks 68^th amongst UK institutions. 
• UEL is accredited by the British Computer Society (BCS), the Chartered Institute for IT, so holding a degree from UEL will be recognised worldwide.

This is designed to give students the opportunity to: 

• Design & develop large-scale service-oriented software systems from requirements to testing and management of its entire development lifecycle.
• Develop knowledge and research skills in artificial intelligence, computer vision and data analytics to empower Learners/Students as a professional.
• Gain advanced theoretical and specialist practical knowledge of progressive and emerging topics.
• Tackle a cutting-edge problem from emerging areas in computer science, including its legal, social, ethical & professional context, resulting in a high-quality research output through the dissertation.
• Develop the professional skills necessary for a senior career in the IT industry. 

Knowledge:

• Demonstrate a comprehensive and critical understanding of all the concepts and activities for large-scale software development
• Demonstrate expertise in artificial intelligence, computer vision and data analytics and their business and research applications
• Have a critical understanding of complex computing application areas and apply skills in advanced topics to find resolution through 
• Learners/Students dissertation

Thinking:

• Critical thinking and evidential reasoning
• Exercise appropriate engineering judgement in the decision-making process
• Systematically analyse problems and implement effective solutions
• Reflect on Learners/Students in professional and research practice

Subject-Based Practical skills:

• Design & develop large-scale software systems by managing its entire Software Development Lifecycle
• Use diverse artificial intelligence, computer vision and data analytics resources and advanced tools and techniques to solve a defined problem
• Identify, critically analyse and execute a solution for a cutting-edge research/industrial computing problem
• Skills for life and work (general skills/transferable skills)
• Demonstrate an ability to study independently and effectively, and to be able to present and convey complex technical information to other professionals and the public
• Develop interpersonal skills and be able to contribute and work effectively in a team
• Integrate research and articulate research results into professional practice

LSBF in Singapore students will gain access to Amazon Web Services (AWS) Educate resources as they will study the Cloud Computing module in the curriculum. Here are the advantages: 

• Organizations require individuals with cloud computing skills to facilitate business transformation and AWS Educate will help build and validate their skill set.
• Students will be guided to access comprehensive resources from AWS Educate that are relevant for building skills in Cloud Technology, Data Analytics, Security, Networking, and Cloud Architecture. 
• Students will have access to the AWS Educate Job Board, to search and apply for cloud entry-level jobs and internship opportunities from Amazon and other companies around the world.
• Upon completion of the Cloud Computing module, students will have the opportunity to attempt AWS certification exams on their own.
• Students will be invited to participate in Hackathon Contests or any relevant contests organized by AWS.

Modules are allocated a mark out of 100%. The pass mark for each module is based on an aggregate mark of 50%. The aggregate mark comprises marks from components/modules whose threshold is 40%. Assessment may incorporate one, two, or three components/modules.

The module specifications specify the mode of assessment for each module.

Assessment methods include formal examinations, work, project work, and group exercises.

Learners/Students with disabilities and/or particular learning needs should discuss assessments with the Module Leader to ensure they are able to fully engage with all assessments within the module.

a. Minimum Academic Entry Requirement 

Learners/Students who have successfully completed either of the following:

• Bachelor's degree in Science or Engineering subjects from a recognised university with a minimum of 2:2 classifications.
• Learners/Students who have obtained equivalent qualifications in relevant fields (usually professional qualification), will be assessed case-by-case and subjected to university approval.

b. Minimum English Language Requirement 

• Applicants who have not studied prior qualifications in English require IELTS 6.0 or equivalent in an accepted English language test.

c. Minimum Age Requirement 

• 21 years or above 

d. Admission Requirement

Accreditation of prior certificated and experiential learning:

• University of East London’s ACL & AEL – Accreditation of Certificated Learning (ACL)- learning that has been recognised previously by LSBF, and which is demonstrated by formal certification
• Accreditation of Experiential learning achieved by reflecting on experiences outside formal education and training systems
• Students, who have obtained equivalent qualifications in relevant fields, will be assessed case-by-case and subjected to university approval