This updated master’s degree program in instructional design and technology will teach you to build quality education and training experiences using employer-recognized Adobe technology.
Those who can analyze learning or training needs and design technology-supported instructional materials have seen double-digit career growth within the past four years. In this master’s in instructional design and technology program, you'll learn to apply theory, research, creativity, and problem-solving skills to a variety of technology applications in order to help reshape the way information is created, integrated, and delivered. You will also develop the skills to assess, create, and manage training materials. The combination of these skills will help you to support technology-based training in educational institutions and corporate training environments. Through your coursework, you will gain the experience needed to efficiently and effectively use technology and multimedia tools, including Adobe Captivate and Adobe Creative Cloud applications.
When you choose to earn your master’s degree in instructional design and technology from Walden, you will gain career-focused training from a leading online university that uses the tools of technology to develop cutting-edge curricula. You’ll benefit from Walden’s own experience in online content development and instructional delivery. Plus, you’ll gain firsthand knowledge of a learning management system and how it is used to provide engaging and content-rich instruction.
Graduates of this program will be prepared to:
Find detailed information for this program, including possible occupations, completion rate, program costs, and median student loan debt.
Choose the General Program or a specialization that meets your personal and professional goals.
Technology is rapidly changing the way people learn throughout higher education, businesses, and government agencies. With the advancement of emerging technologies, the dynamics of how people learn, both onsite and online, is much more accessible and interactive. The Web, social networking applications, online applications, and mobile learning are redefining the way we communicate information.
Realizing this, organizations are focused on hiring and developing talented and knowledgeable personnel to help reshape the way information is created, integrated, and delivered. Instructional designers are becoming a very important part of the curriculum-development process. Those who can analyze learning or training needs and design technology-supported instructional materials have seen double-digit career growth within the past four years.
Technology-enhanced earning trends will continue to open doors to job opportunities in explosive growth areas such as online learning in P-12 and higher education. Earning an MS in Instructional Design and Technology from Walden can prepare you with the knowledge, skills, and experience to excel in a number of positions, including:
Application period/deadline: March 14 - 28, 2018
• State-of-the-art knowledge of how people learn
• Relevant skills of applying technology for individual and group learning
• Capability to design and implement technology-enhanced learning in school and working life contexts
Learning, Education and Technology (LET) is a full-time two-year international master’s programme. After completing the programme, students are awarded a Master of Arts (Education) degree. The core of the education consists of three theoretical viewpoints: self-regulated learning, collaborative learning, and technology-enhanced learning. Each of these aspects is discussed both in theory and in practice. The programme aims to develop knowledge and competencies needed in modern education, namely skills for designing, conducting, assessing and analysing versatile learning situations both in face-to-face and technology-enhanced learning contexts. Working-life connections are highlighted throughout the programme. The studies are implemented in collaboration with national and international research and teaching partners.
LET programme is built on over 20 years of groundbreaking research in the Learning and Educational Technology Research Unit. The unit performs top research on learning sciences in collaboration with international networks by investigating how people learn. LET students are in close connection with the latest research in their everyday studies.
Knowledge about how people learn, especially through collaboration and teamwork, is an essential factor in today’s working life. Also, flexible and versatile use of information and communication technology is one key competence in today’s education. The master’s programme equips the students with a combination of strong theoretical knowledge of learning and collaboration, and diverse use of technology and social media that promotes learning. Further, while studying in an international master’s programme, students are able to develop their language skills and skills for multicultural collaboration.
Graduates from the programme are competent in duties where knowledge of learning processes and use of technology are needed. This degree does not constitute a formal teaching qualification as such but students’ educational background, working experience and own interests affect the career paths of the graduates.
Examples of career paths:
• Educational consultant
• Human resources developer
• Project leader
• Administrator in both the private and public sectors
• Expert in virtual learning
• Designers of technology-enhanced learning
Our master's program is designed for educators who are excited about the potential technology offers for increasing student engagement and learning. Our students want to extend their skills for implementing relevant technology-enhanced activities in their own learning environments.
The hands-on quality of the Educational Technology program addresses the disparity between understanding the functionality of technology and knowing how it can be taught to students. More accurately, it’s not just why you’d use technology, but how it could be strategically implemented.
Our graduates will be prepared to:
The Educational Technology master's program is designed for working professionals who are interested in both creative exploration and practical application of digital technologies.
Our focus is always on giving students tools and strategies that they can use right away in their own learning environments. We also understand that every school has different types and amounts of resources, so we explore a wide variety of technology tools with an emphasis on low-cost or free resources.
The program will be of benefit to teachers in both K-12 and post-secondary settings, educational leaders, curriculum and technology specialists, software developers, corporate trainers, and others interested in the intersection of digital technologies and education.
USF's Educational Technology program gives you five powerful ways to enhance your pedagogical toolkit and increase your impact on future learners. Enter as a savvy instructor, work hard, and leave as a:
The curriculum focuses on the discerning use of technological tools to increase student engagement, motivation, and active learning.
Master's candidates are encouraged to leverage their learning for immediate applicability; course projects require students to apply new skills to discipline-specific content needs.
The Educational Technology program helps educators:
The culminating assessment for this project-based master's degree is a portfolio website, which can serve as a platform for sharing and collaborating with other educators, as well as an electronic resume for those wishing to advance their careers.
Classes meet on teaching weekends, an alternate weekend schedule of about two weekends a month to accommodate adult students, most of whom have full-time jobs and other obligations. The Educational Technology program is designed to be completed in five semesters (two years) including summers. To finish in this timeline, you can plan to take two courses per semester. See the master's program courses.
The Educational Technology master's program has five program outcomes.
Upon completion of the MA in Educational Technology students will be able to:
Walden’s online master’s in information technology program is designed to help you progressively build a 21st-century IT career—from the foundational skills required to enter the field to the specialized expertise needed for senior-level IT positions.
Designed with input from IT industry leaders and employers, the online master’s in IT program offers core courses to help you develop essential programming, networking, and database management and development skills. After completing these core courses, you can then pursue one of five specializations that provide the advanced training required for senior positions in the in-demand fields of health informatics, cyber security, big data analytics, information systems, or software engineering.
Throughout the IT master’s program, virtual labs, hands-on applications, and the use of real-time analytics and business intelligence platforms help you gain the practical, real-world skills demanded by today’s employers.
Recently redesigned to help you gain highly marketable skills more quickly and affordably, the online master’s in information technology program enables you to earn a Graduate Certificate in Information Systems upon completing your first four courses.*
Walden has been recognized as a National Center of Academic Excellence in Cyber Defense Education.
Graduates of this program will be prepared to:
*To receive the Graduate Certificate in Information Systems, you must satisfactorily complete ITEC 6111, ITEC 6115, ITEC 6145, and ITEC 6030 and apply for the certificate, which is awarded at no additional cost.
Find detailed information for this program, including possible occupations, completion rate, program costs, and median student loan debt.
Walden’s MS in Information Technology program offers a variety of specializations to help you meet your personal and professional goals.
Rapid advancements in technologies, new business opportunities for leveraging technology applications, and the anticipated retirement of many senior-level information technology professionals are factors contributing to the growing demand for technology talent. Employment of computer and system administrators, computer system analysts, and computer information systems managers is expected to grow by 25% from 2008 to 2018, according to the Bureau of Labor Statistics.
The MS in Information Technology can help you prepare for senior-level or leadership positions in big data analytics, engineering, programming, security, and systems architecture, including positions in:
Big data analytics
Computer software engineering
Information technology security
Learn more about the career outlook for graduates with a MS in Information Technology
This MSc teaches advanced analytical and computational skills for success in a data rich world. Designed to be both mathematically rigorous and relevant, the programme covers fundamental aspects of machine learning and statistics, with potential options in information retrieval, bioinformatics, quantitative finance, artificial intelligence and machine vision.
The programme aims to provide graduates with the foundational principles and the practical experience needed by employers in the area of machine learning and statistics. Graduates of this programme will have had the opportunity to develop their skills by tackling problems related to industrial needs or to leading-edge research.
Students undertake modules to the value of 180 credits.
The programme consists of two core modules (30 credits), four to six optional modules (60 to 90 credits), up to two elective modules (up to 30 credits) and a research project (60 credits). Please note that not all combinations of optional modules will be available due to timetabling restrictions.
Students must choose 15 credits from Group One Options. Of the remaining credits, students must choose a minimum of 30 and a maximum of 60 from Group Two, 15 credits from Group Three and a maximum of 30 credits from Electives.
Group One Options (15 credits)
Group Two Options (30 to 60 credits)
Group Three Options (15 credits)
Please note: the availability and delivery of optional modules may vary, depending on your selection.
A list of acceptable elective modules is available on the Departmental page.
All MSc students undertake an independent research project, which culminates in a dissertation of 10,000-12,000 words.
Teaching and learning
The programme is delivered through a combination of lectures, discussions, practical sessions and project work. Student performance is assessed through unseen written examinations, coursework, practical application and the project assessment process.
Further information on modules and degree structure is available on the department website: Computational Statistics and Machine Learning MSc
There is a strong national and international demand for graduates with skills at the interface of traditional statistics and machine learning. Substantial sectors of UK industry, including leading, large companies already make extensive use of computational statistics and machine learning techniques in the course of their business activities. Globally there are a large number of very successful users of this technology, many located in the UK. Areas in which expertise in statistics and machine learning is in particular demand include: finance, banking, insurance, retail, e-commerce, pharmaceuticals, and computer security. Graduates have gone on to further study at, for example, the Universities of Cambridge, Helsinki, Chicago, as well as at UCL. The MSc is also ideal preparation for a PhD, in statistics, machine learning or a related area.
Recent career destinations for this degree
Scientific experiments and companies now routinely generate vast databases and machine learning and statistical methodologies are core to their analysis. There is a considerable shortfall in the number of qualified graduates in this area internationally. CSML graduates have been in high demand for PhD positions across the sciences. In London there are many companies looking to understand their customers better who have hired our CSML graduates. Similarly graduates now work in companies in, amongst others, Germany, Iceland, France and the US in large-scale data analysis. The finance sector has also hired several graduates recently.
Careers data is taken from the ‘Destinations of Leavers from Higher Education’ survey undertaken by HESA looking at the destinations of UK and EU students in the 2013–2015 graduating cohorts six months after graduation.
The Centre for Computational Statistics and Machine Learning (CSML) is a major European Centre for machine learning having coordinated the PASCAL European Network of Excellence.
Coupled with the internationally renowned Gatsby Computational Neuroscience and the Machine Learning Unit, and UCL Statistical Science, this MSc programme draws on world-class research and teaching talents. The centre has excellent links with world-leading companies in internet technology, finance and related information areas.
The programme is designed to train students in both the practical and theoretical sides of machine learning. A significant grounding in computational statistics is also provided.
The Research Excellence Framework, or REF, is the system for assessing the quality of research in UK higher education institutions. The 2014 REF was carried out by the UK's higher education funding bodies, and the results used to allocate research funding from 2015/16.
The following REF score was awarded to the department: Computer Science
96% rated 4* (‘world-leading’) or 3* (‘internationally excellent’)
Learn more about the scope of UCL's research, and browse case studies, on our Research Impact website.
Demand is growing for high value data specialists across the sciences, medicine, arts and humanities. The aim of this unique, modular, online distance learning programme is to enhance existing career paths with an additional dimension in data science.
The programme is designed to fully equip tomorrow’s data professionals, offering different entry points into the world of data science – across the sciences, medicine, arts and humanities.
Students will develop a strong knowledge foundation of specific disciplines as well as direction in technology, concentrating on the practical application of data research in the real world.
You can study to an MSc, Postgraduate Diploma, Postgraduate Certificate or Postgraduate Professional Development level.
Our online learning technology is fully interactive, award-winning and enables you to communicate with our highly qualified teaching staff from the comfort of your own home or workplace.
Our online students not only have access to the University of Edinburgh’s excellent resources, but also become part of a supportive online community, bringing together students and tutors from around the world.
You can study to an MSc, MSc with Medical Informatics specialism, Postgraduate Diploma, Postgraduate Certificate or Postgraduate Professional Development level.
These credits will be recognised in their own right for postgraduate level credits or may be put towards gaining a higher award such as a PgCert.
The modular course structure offers broad engagement at different career stages. Individual courses provide an understanding of modern data-intensive approaches while the programme provides the knowledge base to develop a career that majors in data science in an applied domain.
This programme is intended for professionals wishing to develop an awareness of applications and implications of data intensive systems. Our aim is to enhance existing career paths with an additional dimension in data science, through new technological skills and/or better ability to engage with data in target domains of application.
Quantum technology has been selected by the UK Government as a key area of innovation, moving science into real-world applications. The first phase of the UK National Quantum Technology initiative has received £350 million of government funding to create a flourishing industry in this area in the UK.
Four Quantum Technology Hubs have been established as flagship projects in this program. This postgraduate training programme is aligned with the UK National Quantum Technology Hub in Sensors and Metrology, an £80 million collaborative effort led by the University of Birmingham in partnership with the Universities of Glasgow, Nottingham, Southampton, Strathclyde and Sussex, the National Physical Laboratory and over 70 companies.
The MRes programme offers a unique opportunity for students to undertake a research-based Masters degree in a multi-disciplinary environment between science, engineering and industry. Students benefit from participating in both the technology translation and applied research activities carried out within the UK National Quantum Technology Hub in Sensors and Metrology, and from the educational programmes offered by the College of Engineering and Physical Sciences. The programme comprises classroom taught quantum physics-oriented modules for students with engineering backgrounds; technology-orientated modules for students with physics backgrounds; and an independent research project that is documented in a substantial thesis.
The research project consists of a team element; all students will organise themselves to present a technical demonstration at a national or international conference. There is also an individual research element, which takes place in industry or in relation to a participating company.
It will include 70 credits of classroom taught modules and a research project worth 110 credits, consisting of team and individual elements.
The team element of the research project teaches technical, team working, project management, communication and presentation skills with an emphasis on responsible research and innovation. The individual element of the research project focuses on problems relevant to industry and will be carried out in close collaboration with industry partners.
The Birmingham led UK National Quantum Technology Hub in Sensors and Metrology is a cross-disciplinary centre, involving staff from the Schools of Physics, Civil, Electrical and Materials Engineering, as well as staff from a number of other Schools across the University. It will translate fundamental science and applied research in quantum sensors and metrology based on atomic probe particles, providing high level educational opportunities in these fields.
The Hub’s research activities include research in the development of sensors for gravity, magnetic fields, rotation, electromagnetic fields and time. It also researches their applications in a diverse range of sectors including aviation, communication, construction, defense, energy, finance, healthcare, oil and mineral exploration, transport and space.
The Translational Quantum Technology programme aims at preparing students for the challenges in translating quantum sensors and metrology devices based on atoms as probe particles into real-world applications. After the programme, students should understand the underpinning science and technology; the needs of end-user applicants; and the impact of these quantum technology devices on society. They should be able to move seamlessly between academia and industry, and translate scientific outcomes into technology.
The programme will create a strongly networked cohort of students with practical experience in academia and industry. It aims:
This programme is a unique opportunity to acquire translational skills, including specific skills of relevance to the emerging quantum technology industry. The UK National Quantum Technology Hub in Sensors is actively engaged with a growing number of industry partners, currently standing at 70 companies from various sectors of the economy. Industry secondments to our partners will foster career prospects.