Students
Tuition Fee
GBP 26,900
Per year
Start Date
2026-09-01
Medium of studying
On campus
Duration
1 years
Details
Program Details
Degree
Masters
Major
Education Technology | Instructional Technology | Artificial Intelligence
Area of study
Information and Communication Technologies | Education
Education type
On campus
Timing
Full time
Course Language
English
Tuition Fee
Average International Tuition Fee
GBP 26,900
Intakes
Program start dateApplication deadline
2026-09-01-
About Program

Program Overview


MA Artificial Intelligence and Technology-Enhanced Learning

The MA Artificial Intelligence and Technology-Enhanced Learning is a postgraduate program designed for professionals and recent graduates interested in educational technology. This course is ideal for educators looking to develop their digital practices and technologists seeking to understand pedagogy.


Overview

The program focuses on harnessing digital technologies to implement innovative pedagogies, raising attainment, and promoting inclusion. Upon completion, students will be prepared to play an informed role in teaching, education leadership, and publishing, as well as take on various roles in the educational technology sector.


Course Content

The course consists of 180 credits, including five core modules, one option module, and a dissertation. There are two dissertation pathways: research-based and practice-based. This program can serve as an introduction to work at the PhD level or a career in the education sector.


Core Modules

  • Theories of Learning & Development
  • Teaching and Learning with Artificial Intelligence and Information and Communications Technologies
  • Artificial Intelligence and Technology Enhanced Learning: Key Issues and Debates
  • Research Methods for Education I
  • Professional Practice in Education or Research Methods for Education II

Option Modules

  • Bilingualism
  • Contemporary Issues in Teaching
  • Evaluating UK Classroom Practice
  • Gender, Sexuality & Education
  • Higher Education in the Twenty-First Century
  • Intercultural Communication in Education
  • Motivation in Education

Dissertation

Students can choose between a research-based dissertation, where they develop and manage their own original research project, or a practice-based dissertation, where they develop an artefact such as classroom materials or digital resources, with guidance from a member of staff.


Learning Outcomes

Upon completing the course, students will be able to:


  • Use educational theory and pedagogy to assess the effectiveness of technology-enhanced teaching practices.
  • Locate and critically evaluate cutting-edge research and professional literature in Artificial Intelligence and Information and Communications Technology.
  • Plan for different teaching contexts by selecting appropriate methodologies, digital resources, and materials.
  • Communicate complex information and arguments clearly and professionally.
  • Initiate and carry out independent, focused research or pedagogical projects.

Fees and Funding

Annual Tuition Fees for 2026/27

  • UK (home): £12,000
  • International and EU: £26,900

Funding Information

  • UK government Masters loans
  • Funding for UK students
  • Funding for international students
  • Chevening Scholarships

Teaching and Assessment

The course is taught through a combination of formal lectures, seminars, practical exercises, workshops, and online learning. Assessment is by a combination of written assignments, reflections on practice, lesson plans, blog posts, written policy briefs, and group and individual presentations.


Careers and Skills

This masters program is an ideal foundation for careers in the education sector and EdTech, as well as further study such as a PhD. Career opportunities include education advisor, educational consultant, e-learning manager, entrepreneur, learning designer, materials developer, policymaker, researcher, teacher, teacher trainer, and technical demonstrator in educational technology.


Transferable Skills

  • Academic and professional language skills in English
  • Data analysis
  • Design and completion of original research
  • Digital, information, and AI literacy
  • Communication skills
  • Critical reasoning
  • Collaborative working
  • IT skills
  • Problem-solving
  • Research methods
  • Time-management

Entry Requirements

  • Undergraduate degree: 2:2 undergraduate degree in a relevant subject in Education or Computer Science.
  • Other qualifications and experience: Relevant teaching experience or experience in publishing or the EdTech sector is beneficial.
  • English language: If English isn't the first language, evidence of English language ability is required, with minimum requirements specified for various English language qualifications.
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