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Fees and Funding

Here's the fees and funding information for each year of this course

Overview

This course is subject to validation.

This course will provide you with the latest ground-breaking research and practices in educational technology and advanced instructional design techniques to reshape the future of learning and teaching worldwide. This course is one of the University's interdisciplinary courses that connects technology, computing, pedagogy, and education, graduates should demonstrate sufficient understanding of theory and practice in relation to Educational Technology, including learning content design, educational technology assessment, and adoption.

If you are enrolled for the placement version of the course, you will undertake an internship within one of our educational technology partner organisations, which requires you to complete a 120 P-credit Industrial Placement Module. The module is assessed by the partner industrial organisation and the University and grades reflected on your academic transcripts. The industrial placement component gives you the opportunity to apply the knowledge you acquired during the first year of this MSc course in an authentic working environment. 

What makes this course different

Data servers

Bridging the gap between pedagogy and technology

This course offers a unique opportunity to bridge the gap between pedagogy and technology by teaching students how to develop educational oriented software system in a research-informed approach.

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Utilising AI in Education

This course links the latest up to date inventions including Artificial Intelligence, Machine Learning and Virtual Reality in authentic learning problems.

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Interdisciplinary MSc Course

This MSc course consists of the following two different components: technology and pedagogy, where many different research areas could be part of it including psychology, policies, etc.

WHAT YOU'LL LEARN

Knowledge  

  • Demonstrate knowledge and understanding of essential facts, concepts, theories and principles of emerging technologies in digital education, pedagogy for online learning and learning design, contemporary tools and technologies to produce relevant solutions.


Thinking skills 

  •  Demonstrate innovative independent thinking, critical investigation, and analytical skills in the real-world problems related to technology enhanced learning.


Subject-Based Practical skills 

  • Analyse, interpret, synthesise and evaluate design methods and alternative solutions for a given problem in the diverse fields of education, learning pedagogy, learning design, socio-economic learning system, educational technology acceptance.
  • Hands on experience in technology enhanced learning solutions using state-of-the art tools and approaches.


Skills for life and work (general skills) 

  • Structure and communicate ideas effectively, both orally and in writing

DOWNLOAD COURSE SPECIFICATIONS

This course is subject to validation. You can still apply for this course while it is being approved.

MODULES

  • Core Modules
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    Digital Learning Fundamentals

    This module introduces you to digital learning and how technologies evolved over the last two decades in education. The module presents success and failures but more importantly, it will develop your ability to assess and evaluate impact of these changes as a stepping stone towards future changes. The module discusses key challenges currently faced in academia linked to digital technologies.

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    Pedagogy in the Digital Age

    This module introduces you to teaching in the digital age, where you will gain knowledge, skills and methods needed. It will also give insight into learning theories, assessment types and pedagogical differences between types of media. In addition, this module will cover building and testing an effective learning environment.

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    Cloud Computing

    This module provides you with an overview of the field of Cloud Computing, its enabling technologies, main building blocks, and hands-on experience. The course will introduce this domain and cover the topics of data centres, virtualization, cloud storage, and various Cloud paradigms. Motivating factors, benefits, challenges, and service models will be discussed. Modern data centres enable many of the economic and technological benefits of the cloud paradigm; hence, the module describes several concepts behind data centre design and management.

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    Mental Wealth; Professional Life (Dissertation)

    Conduct a practical project of a Master level quality related to the scope of the selected MSc programme and develop skills appropriate for a senior computing professional. You will consider the ethical, legal, social, and professional issues, and the dissertation will require appropriate research, analysis, design, implementation, quality assurance, evaluation and project management. You will reflect on the success of the strategies that you employed to further develop your reflective skills, self-awareness, 'life style' and self-care approaches and where necessary improve your approaches.

    Optional Modules
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    Disruptive Educational Technologies

    This module provides you with the latest ground-breaking research and practices in educational technology to reshape the future of learning and teaching. It covers a wide range of topics that are discussed in Technology-Enhanced Learning which include: Artificial Intelligence, Learning Analytics, technology for assessment and support, and game-based learning. The module also provides you with insight and experience into success factors of adopting technologies in certain educational contexts.

  • Core Modules
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    Industrial Placement

    The aim of this module is to enable students to undertake an unpaid work placement in a relevant employment environment to develop their employability and technical business management skills, within a real work environment to complement their current programme of study.

HOW YOU'LL LEARN

Guided independent study

Review each module specification to find out the number of hours you are expected to be on campus, i.e., to attend lectures, labs, etc. and the number of hours used for independent study, where you will be expected to review your learning journey and reflect on what you have been taught.

Academic support

The University of East London provides students with a list of support services to students to help them during their study. Student Hub is the central point where student can contact to access all services including academic support, disability support, to mention but a few.

Dedicated personal tutor

In addition, you will be assigned a personal tutor to provide academic guidance and support throughout your time at UEL and who will show you how to make the best use of all the help and resources that we offer.

Workload

Generally, you will spend around 300 hours of timetabled learning and teaching activities per a year. These may be lectures, workshops, seminars and individual and group tutorials. Contact hours may vary depending on each module.

The approximate percentages for this course are:

  • Year 1: scheduled teaching – 300 hours; guided independent study – 900 hours

Your timetable

Your individualised timetable is normally available to students within 48 hours of enrolment. Whilst we make every effort to ensure timetables are as student-friendly as possible, scheduled teaching can take place on any day of the week between 9.00am and 6.00pm. For undergraduate students Wednesday afternoons are normally reserved for sports and cultural activities, but there may be occasions when this is not possible. Timetables for part-time students will depend on the modules selected.

Class sizes

To give you an indication of class sizes, this course normally attracts 80 students a year. Lecture sizes are normally 80 plus students. In the classroom you will be taught in groups of 18–20 students. However, this can vary by academic year.

HOW YOU'LL BE ASSESSED

A wide variety of assessment techniques will be used to assess students understanding and achievements. This is explained as follows:  

Knowledge is assessed by 

  • tutorials (in-class and at end of year) 
  • individual/group projects and reports
  • group assessments
  • presentations
  • dissertation

Thinking skills are assessed by 

  • all assessment tasks set (especially related to critical thinking)
  • use of appropriate problem-solving skills

Practical skills are assessed by 

  • assessment tasks requiring use of general and specialised IT applications 
  • demonstration of projects/tasks
  • use of tools in designing algorithms

Skills for life and work (general skills) are assessed by 

  • evidence of group and team working  
  • ability to work to time constraints  

You'll always receive detailed feedback outlining your strengths and how you can improve. The timeframe for receiving such feedback depends on the size and type of submission, but generally students receive feedback on their submissions within 7 working days.

CAMPUS and FACILITIES

Docklands Campus

Docklands Campus, Docklands Campus, London, E16 2RD

WHO TEACHES THIS COURSE

The teaching team includes qualified academics, practitioners and industry experts as guest speakers. Full details of the academics will be provided in the student handbook and module guides.

Rawad Hammad

Rawad is a Lecturer in Computer Science and Digital Technologies with extensive experience on Software Engineering and Technology Enhanced Learning.

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Dr Fadi Safieddine

Senior Lecturer in Computing and Management Information Systems, Dr Fadi Safieddine is involved in lecturing, leadership and other activities.

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Gaurav Malik

Gaurav Malik is Interim Director of Education and Experience in the School of Architecture, Computing and Engineering.

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Saeed Sharif

Dr Sharif is the Course Leader for MSc Computer Science (and with industrial placement) at the School of Architecture, Computing and Engineering.

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Ali Abbas

Course Leader for MSc Civil Engineering and MSc Structural Engineering

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Dr Nabeela Berardinelli

Dr Nabeela Berardinelli is a Lecturer in the Department of Engineering & Computing.

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What we're researching

At the University of East London we are working on the some of the big issues that will define our future; from sustainable architecture and ethical AI, to health inequality and breaking down barriers in the creative industries.

Our students and academics are more critically engaged and socially conscious than ever before. Discover some of the positive changes our students, alumni and academics are making in the world.

Please visit our Research section to find out more.

This course is designed for students who would like to proceed with educational technology-oriented careers. It is very well structured with knowledge (both depth and breadth) and application that would be very useful in a role in digital education which is high demand after the start of the pandemic. In addition, the course puts the Learner Experience and Learning Design at the heart of every technology that is examined and applied in education.

Rawad Hammad

Course leader, MSc Digital Education

YOUR FUTURE CAREER

The programme will equip graduates with various skills that can be used for a wide range of positions, including the following:  Digital education consultant, Learning Manager,  Academic Developer, Learning Management Systems Administrator, Curriculum Development Lead, Instructional designer, Learning Consultant, E-learning content developer, E-Trainer/Instructor, Learning Development Manager, Education Advisers , School Inspectors, Educational Technologist or Educational System Analyst.

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