What will I learn on this module?
The module is designed to give you theoretical and practical knowledge of more advanced methods for analysing data in sleep and chronobiology. A variety of methods will be studied, using relevant hardware and software, in exercises. You will receive training on the entire cycle of data management, covering structured planning, best practices in data curation and management, as well as current approaches in statistical analysis (descriptive, inferential, machine learning) and reporting. The communication of findings according to the most recent and suitable conventions used in world-leading research settings and with due regard to the audience will be addressed. The approach is to provide a theoretical background for each method so that you are not simply capable of carrying out and reporting analyses but also capable of reflecting critically on their appropriateness in research.
How will I learn on this module?
The module is delivered in weekly sessions in which some time is spent giving information about a method or technique and the rest providing the opportunity for you to practice the technique. Independent study will give you further opportunities to enhance your skills in advanced analysis techniques. Much of the learning on this module will involve hands-on analysis and interpretation of data.
How will I be supported academically on this module?
Resources will be available via the e-learning portal, including lecture slides, guidance notes and related supplementary materials (e. g. data sets). Recommended readings in addition to those on the reading list and useful links to web-based resources will also be provided. Discussion boards and tutorials will support you throughout the module, and current information will be presented to help you to explore how data collection analysis and interpretation are key to a range of potential graduate employment pathways, including in professional research settings.
What will I be expected to read on this module?
All modules at Northumbria include a range of reading materials that students are expected to engage with. Online reading lists (provided after enrolment) give you access to your reading material for your modules. The Library works in partnership with your module tutors to ensure you have access to the material that you need.
What will I be expected to achieve?
Knowledge & Understanding:
K&U1: Analyse and critically evaluate the meaning of sleep science and chronobiological data
K&U2: Critically reflect on the use and appropriateness of advanced data analysis techniques in sleep research
Intellectual / Professional skills & abilities:
IPSA1: Understand how to communicate and disseminate research findings drawn from complex data sets
IPSA2: Apply a variety of advanced analysis techniques to convey research findings effectively
Personal Values Attributes (Global / Cultural awareness, Ethics, Curiosity) (PVA):
PVA1: Critically reflect on ethics in relation to research methodologies and data interpretation in sleep science and circadian research
How will I be assessed?
Formative assessment:
• Verbal module tutor feedback will be provided during the practical sessions on students practical skills (K&U1, IPSA2)
Summative assessment:
• Data management plan (25%) in which students are required to create and report a structured data management plan according to the standards currently adopted by grant-holders (IPSA1, PVA1), 1000 words.
• Data processing report (25%) in which students are provided with quantitative data and are required to analyse the data and report on this data, as used in submissions to research journals (K&U1, IPSA2), 1000 words.
• Data storytelling report (50%) in which students are required to undertake data analysis and write up the findings in a written report according to a data storytelling framework (K&U1, K&U2, IPSA1, PVA1). 1500 words.
Individual feedback will be provided in written form for every assessment along with cohort level feedback.
Pre-requisite(s)
N/A
Co-requisite(s)
N/A
Module abstract
This module is designed to equip you with an advanced and research-focused understanding of methods for analysing data in sleep science and circadian research. Real-world data will be utilized to provide you with ample opportunities to enhance your analytical and interpretive skills using updated technology and software. The course will cover the most recent conventions for creating data processing plans, data curation, presenting findings and communicating them effectively to the appropriate audience using data storytelling methods. Each technique will be presented with a strong theoretical foundation, and you will be expected to practice analysing complex data sets using specialist software. You will receive formative feedback to support your learning and prepare you for the summative reports.
Course info
Credits 20
Level of Study Postgraduate
Mode of Study 1 year Full Time
Department Psychology
Location City Campus, Northumbria University
City Newcastle
Start September 2025
All information is accurate at the time of sharing.
Full time Courses are primarily delivered via on-campus face to face learning but could include elements of online learning. Most courses run as planned and as promoted on our website and via our marketing materials, but if there are any substantial changes (as determined by the Competition and Markets Authority) to a course or there is the potential that course may be withdrawn, we will notify all affected applicants as soon as possible with advice and guidance regarding their options. It is also important to be aware that optional modules listed on course pages may be subject to change depending on uptake numbers each year.
Contact time is subject to increase or decrease in line with possible restrictions imposed by the government or the University in the interest of maintaining the health and safety and wellbeing of students, staff, and visitors if this is deemed necessary in future.
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