Education and Technology

Master of Science in Education and Technology at University College London is a pioneering programme designed to equip students with the essential skills and knowledge to innovate and lead in the rapidly evolving field of educational technology. This interdisciplinary course combines theoretical foundations with practical applications, preparing graduates to effectively integrate digital tools and innovative pedagogical strategies into diverse educational settings. Throughout the programme, students will explore core areas such as curriculum design, digital learning environments, e-learning design, and data-driven decision making, all within a global perspective that considers current challenges and future trends in education. The curriculum is structured to promote critical thinking, research skills, and technical proficiency, enabling students to develop, evaluate, and implement technology-enhanced learning solutions. Collaborating with leading experts and industry partners, students have opportunities to work on real-world projects, participate in internships, and engage with cutting-edge research. The programme emphasizes the importance of ethical considerations, accessibility, and inclusivity in educational technology, ensuring graduates are prepared to contribute positively to society. With a flexible delivery mode, including full-time and part-time options, students can tailor their studies to fit their professional commitments. Upon graduation, alumni will be well-equipped for careers in educational technology development, digital learning consultancy, training and development, research, and policy-making. The MSc in Education and Technology at UCL offers a comprehensive pathway for those passionate about transforming education through innovative technological solutions, making a meaningful impact on learners worldwide.

This programme will enhance a student’s theoretical insights in, and practical applications of, technology in education and professional practice. Students learn how to apply the latest educational theory to their everyday professional practice as well as developing research skills, allowing progression on to doctoral research.

Students undertake modules to the value of 180 credits.

The programme consists of two core modules (60 credits), and either two elective modules (60 credits) and a dissertation (60 dissertation), or a report (30 credits) and three elective modules (90 credits).

Core modules

• Education and Technology: Key Issues and Debates (online/mixed)
• Researching Digital Learning (online/mixed)

Elective modules

Students choose two optional modules from across the UCL Institute of Education's Master's-level offering. The following are examples:

• Design and Use of Technologies for Education
• Technology and Education Beyond the Classroom

Dissertation/report

All students undertake an independent project culminating either in a dissertation of 20,000 words or a report of 10,000 words, supervised either on campus or online.

Teaching and learning

Teaching is delivered through individual and group working; lectures and podcasts, student presentations and group discussion of reading and writing undertaken in preparation for sessions, both online and face-to-face; collaborative activities in face-to-face and online contexts. All modules are assessed by written assignments.

Applicants should have a minimum of a second-class UK Bachelor's degree or overseas qualification of an equivalent standard in a relevant subject (related to education and/or technology), and relevant experience in teaching, education and/or a technology related field. Applicants who do not meet these criteria may sometimes be considered on the basis of an excellent personal statement.

Financial support for the Master of Science in Education and Technology at University College London offers a variety of funding options to assist students in covering their tuition fees and living expenses. Prospective students are encouraged to explore scholarships, bursaries, and loans available through the university and external organizations. UCL provides several merit-based scholarships specifically for postgraduate students, which may cover partial or full tuition fees. These scholarships are awarded based on academic excellence, leadership qualities, or diversity considerations, and applicants are advised to prepare strong applications demonstrating their achievements and potential.

In addition to university-administered awards, students can seek funding from external sources such as governmental scholarship programs, private foundations, and industry partnerships. For example, students from certain countries may be eligible for government-sponsored loans or grants designed to promote international education. UCL also offers potential employer sponsorship schemes, where organizations may fund employees pursuing further qualifications in education and technology, particularly if the course aligns with their professional development goals.

Student loans available via national programs can help cover living costs and tuition fees, with repayment plans typically linked to income levels post-graduation. UCL's Financial Support Office provides comprehensive guidance on applying for these loans and grants. Furthermore, students are encouraged to consider part-time work opportunities available on campus or in London to supplement their funding, taking care to balance work commitments with academic responsibilities.

International students should investigate visa-specific financial requirements and ensure they meet the necessary proof of funds to obtain a student visa. UCL also offers guidance and resources for budgeting and financial planning throughout the course duration. Overall, while there are various sources of financial aid, competitive application processes mean that securing funding requires timely preparation and a clear demonstration of academic excellence and motivation.

Data Science MSc at University College London is a comprehensive postgraduate program designed to equip students with the essential skills and knowledge needed to excel in the rapidly evolving field of data science. The curriculum combines theoretical foundations with practical applications, ensuring graduates are well-prepared to tackle real-world challenges across various industries. Students will study core subjects such as machine learning, statistical modeling, data management, programming, and data visualization, alongside elective courses that allow specialization in areas like artificial intelligence, big data, or deep learning. The program emphasizes the use of cutting-edge technologies and tools, including Python, R, and cloud computing platforms, facilitating hands-on experience through projects, labs, and industry collaborations.

UCL's Department of Computer Science and the Department of Statistics and Data Science collaboratively deliver this program, leveraging their expertise to provide a rigorous and relevant education. The MSc in Data Science is suitable for graduates from diverse backgrounds, including computer science, mathematics, engineering, and statistics, who seek to deepen their understanding and enhance their career prospects in data-driven roles. The teaching staff comprises leading researchers and practitioners, ensuring content remains current and aligned with industry standards. The program also offers opportunities for interdisciplinary work, allowing students to apply data science principles to fields such as healthcare, finance, or social sciences.

The student life at UCL fosters an innovative and collaborative environment, encouraging networking with fellow students, academic staff, and industry professionals. Located in London, one of the world's major technology and finance hubs, students benefit from proximity to numerous companies, startups, and research institutions, facilitating internships, placements, and employment opportunities. Graduates of this MSc are equipped to pursue careers as data analysts, data scientists, machine learning engineers, or further academic research. The program typically spans one year full-time or two years part-time, offering flexibility for working professionals. Overall, UCL's Data Science MSc delivers a rigorous, industry-relevant education that prepares students for the challenges and opportunities of the data revolution.