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Entrepreneurship in the research context

In these courses, students and researchers who are thinking of commercialising their research are challenged to consider their own life goals; decide which entrepreneurial route is best for them; understand timing issues and routes to market; evaluate the commercial viability of their idea; understand how best to mobilise people and finance and learn from others. Three courses with over eight hours of online study and 20 hours of supplementary study.

Research ethics

The ethics of research are under increasing scrutiny in higher education.  Most researchers are now required to report, or at least consider, the ethics of their research approach.  Together, these two courses cover the key considerations, provide students with a clear framework in which to evaluate the ethics of their research and introduce the UK legislation relevant to studies involving human participants, subjects or objects. Two courses with five hours of online study and over 15 hours of supplementary study.

Research methods

These courses aim to support doctoral and postdoctoral researchers undertaking independent research in all academic disciplines. The courses will provide guidance on the different research processes involved in the arts and humanities, social sciences and sciences, and will also develop an understanding of the literature review process. Four courses with over 11 hours of online study and over 35 hours of supplementary study.

Transferable skills

These courses aim to develop a broad range of skills essential for both academic and non-academic careers. Areas covered include Intellectual Property, career planning for researchers in all academic disciplines, managing a research project, working with a research supervisor and attending and organising academic conferences. Eight courses with over 20 hours of online study and over 90 hours of supplementary study.

Introduction to ‘Research Skills' - UK version

This introductory course explains the importance of skills training for doctoral and postdoctoral researchers with the help of a video featuring current PhD researchers, experienced academics and a variety of graduate employers. The course also explains the features and learning tools used throughout the Research Skills programme and contains a diagnostic quiz to highlight the courses most relevant to individual participants’ needs.

Introduction to ‘Research Skills' - Irish version

This introductory course explains the importance of skills training for doctoral and postdoctoral researchers with the help of a video featuring current PhD researchers, experienced academics and a variety of graduate employers. The course also explains the features and learning tools used throughout the Research Skills programme and contains a diagnostic quiz to highlight the courses most relevant to individual participants’ needs.

Research Integrity - UK/International version

Sorting right from wrong in today's increasingly complex global research world is not a simple task. This internationally developed programme is designed to provide postgraduate, post-doctoral and early career researchers with a better understanding of the obligations and responsibilities today's researchers have, along with practical advice on how to deal with the complex situations in which they may find themselves.

Responsible Conduct of Research - US version

Sorting right from wrong in today's increasingly complex global research world is not a simple task. This internationally developed program is designed to provide graduate, post-doctoral and early career researchers with a better understanding of the obligations and responsibilities today's researchers have, along with practical advice on how to deal with the complex situations in which they may find themselves.

Research Integrity - Australian version

Sorting right from wrong in today's increasingly complex global research world is not a simple task. This internationally developed programme is designed to provide postgraduate, post-doctoral and early career researchers with a better understanding of the obligations and responsibilities today's researchers have, along with practical advice on how to deal with the complex situations in which they may find themselves.

Human Subjects Protection

This course gives researchers the practical advice they need for working with human subjects, but also helps them understand why research with human subjects is special and is afforded particular attention. It includes how human subjects protection regulations evolved and why we need them, what role the IRB plays and how you should approach your application to the IRB, and other considerations to take into account before, during and after your research.

Professional Skills for Research Leaders - UK/Int

Professional Skills for Research Leaders is designed to help independent researchers enhance their leadership, management and engagement strategies to increase their competitiveness and effectiveness.

Professional Skills for Research Leaders - US

Professional Skills for Research Leaders is designed to help independent researchers enhance their leadership, management and engagement strategies to increase their competitiveness and effectiveness.

Statistical Methods - Biomedical Sciences - UK/Int

Statistical Methods for Research is a foundation programme in Statistics, providing students with the practical, transferable skills needed to conduct statistical analysis at postgraduate level and beyond. This version of the programme, designed for researchers in the Biomedical Sciences, illustrates the theory with examples relevant to this discipline. Comprising interactive activities, scenarios, worked examples and expert interviews, the seven courses cover descriptive and inferential statistics, hypothesis testing, statistical modelling, and report writing. Importantly, students will be given the opportunity to analyse data through the guided use of mainstream statistics packages.

Statistical Methods - Business - UK/Int

Statistical Methods for Research is a foundation programme in Statistics, providing students with the practical, transferable skills needed to conduct statistical analysis at postgraduate level and beyond. This version of the programme, designed for researchers in the field of Business, illustrates the theory with examples relevant to this discipline. Comprising interactive activities, scenarios, worked examples and expert interviews, the seven courses cover descriptive and inferential statistics, hypothesis testing, statistical modelling, and report writing. Importantly, students will be given the opportunity to analyse data through the guided use of mainstream statistics packages.

Statistical Methods - Engineering - UK/Int

Statistical Methods for Research is a foundation programme in Statistics, providing students with the practical, transferable skills needed to conduct statistical analysis at postgraduate level and beyond. This version of the programme, designed for researchers in Engineering and Technology, illustrates the theory with examples relevant to these disciplines. Comprising interactive activities, scenarios, worked examples and expert interviews, the seven courses cover descriptive and inferential statistics, hypothesis testing, statistical modelling, and report writing. Importantly, students will be given the opportunity to analyse data through the guided use of mainstream statistics packages.

Statistical Methods - Natural Sciences - UK/Int

Statistical Methods for Research is a foundation programme in Statistics, providing students with the practical, transferable skills needed to conduct statistical analysis at postgraduate level and beyond. This version of the programme, designed for researchers in the Natural Sciences, illustrates the theory with examples relevant to this discipline. Comprising interactive activities, scenarios, worked examples and expert interviews, the seven courses cover descriptive and inferential statistics, hypothesis testing, statistical modelling, and report writing. Importantly, students will be given the opportunity to analyse data through the guided use of mainstream statistics packages.

Statistical Methods - Social Sciences - UK/Int

Statistical Methods for Research is a foundation programme in Statistics, providing students with the practical, transferable skills needed to conduct statistical analysis at postgraduate level and beyond. This version of the programme, designed for researchers in the Social Sciences, illustrates the theory with examples relevant to this discipline. Comprising interactive activities, scenarios, worked examples and expert interviews, the seven courses cover descriptive and inferential statistics, hypothesis testing, statistical modelling, and report writing. Importantly, students will be given the opportunity to analyse data through the guided use of mainstream statistics packages.

Statistical Methods - Biomedical Sciences - US

Statistical Methods for Research is a foundation program in Statistics, providing students with the practical, transferable skills needed to conduct statistical analysis at graduate level and beyond. This version of the program, designed for researchers in the Biomedical Sciences, illustrates the theory with examples relevant to this discipline. Comprising interactive activities, scenarios, worked examples and expert interviews, the seven courses cover descriptive and inferential statistics, hypothesis testing, statistical modeling, and report writing. Importantly, students will be given the opportunity to analyze data through the guided use of mainstream statistics packages.

Statistical Methods - Business - US

Statistical Methods for Research is a foundation program in Statistics, providing students with the practical, transferable skills needed to conduct statistical analysis at graduate level and beyond. This version of the program, designed for researchers in the field of Business, illustrates the theory with examples relevant to this discipline. Comprising interactive activities, scenarios, worked examples and expert interviews, the seven courses cover descriptive and inferential statistics, hypothesis testing, statistical modeling, and report writing. Importantly, students will be given the opportunity to analyze data through the guided use of mainstream statistics packages.

Statistical Methods - Engineering - US

Statistical Methods for Research is a foundation program in Statistics, providing students with the practical, transferable skills needed to conduct statistical analysis at graduate level and beyond. This version of the program, designed for researchers in Engineering and Technology, illustrates the theory with examples relevant to these disciplines. Comprising interactive activities, scenarios, worked examples and expert interviews, the seven courses cover descriptive and inferential statistics, hypothesis testing, statistical modeling, and report writing. Importantly, students will be given the opportunity to analyze data through the guided use of mainstream statistics packages.

Statistical Methods - Natural Sciences - US

Statistical Methods for Research is a foundation program in Statistics, providing students with the practical, transferable skills needed to conduct statistical analysis at graduate level and beyond. This version of the program, designed for researchers in the Natural Sciences, illustrates the theory with examples relevant to this discipline. Comprising interactive activities, scenarios, worked examples and expert interviews, the seven courses cover descriptive and inferential statistics, hypothesis testing, statistical modeling, and report writing. Importantly, students will be given the opportunity to analyze data through the guided use of mainstream statistics packages.

Statistical Methods - Social Sciences - US

Statistical Methods for Research is a foundation program in Statistics, providing students with the practical, transferable skills needed to conduct statistical analysis at graduate level and beyond. This version of the program, designed for researchers in the Social Sciences, illustrates the theory with examples relevant to this discipline. Comprising interactive activities, scenarios, worked examples and expert interviews, the seven courses cover descriptive and inferential statistics, hypothesis testing, statistical modeling, and report writing. Importantly, students will be given the opportunity to analyze data through the guided use of mainstream statistics packages.

Supervising Doctoral Studies

The Supervising Doctoral Studies programme consists of eight online learning units, designed to contribute to the development of both new and experienced research supervisors. Authored by experts who have spent many years researching the doctoral process, topics include: dealing with applicants and the selection of candidates; approaches to supervision; setting candidates on the right course; managing progress; preparing for examination; dealing with issues that can arise during supervision; and supervisors' continuing professional development. The programme will provide a valuable resource for all supervisors seeking to support candidates as they develop into independent researchers.

Advising Doctoral Students

Advising Doctoral Students empowers universities to ensure that all faculty involved in advising doctoral candidates are well equipped to deal with emerging challenges in this continually-changing field. The program is designed to help both new and experienced doctoral advisors develop their ability to effectively mentor doctoral students and to support them in becoming independent researchers. The Advising Doctoral Students program has been adapted for US universities from the Supervising Doctoral Studies program, published for the International non-USA market in August 2014.

Enhancing Research Impact

There is an increased emphasis in research funding and assessment processes on demonstrating how research contributes beyond academia to society and the economy. In order to meet these expectations, researchers need to be able to articulate the value of their research and actively pursue opportunities to make an impact. This programme will provide the tools and training researchers need to embed impact into their research throughout all stages of their career, whatever their level of experience. Four courses with over six hours of online study and over 24 hours of supplementary study.

Research Integrity: Concise (AUS version)

Research Integrity: Concise is specifically designed for experienced researchers with some prior training. This online course allows more experienced researchers to quickly and efficiently complete their mandatory research integrity training.