- UCAS course code
- B143
- UCAS institution code
- M20
Bachelor of Science (BSc)
BSc Neuroscience with Industrial/Professional Experience
- Typical A-level offer: AAA-AAB including specific subjects
- Typical contextual A-level offer: AAB-ABC including specific subjects
- Refugee/care-experienced offer: ABB-ABC including specific subjects
- Typical International Baccalaureate offer: 36-35 points overall with 6, 6, 6 to 6, 6, 5 at HL, including specific requirements
Fees and funding
Fees
Tuition fees for home students commencing their studies in September 2025 will be £9,535 per annum (subject to Parliamentary approval). Tuition fees for international students will be £34,500 per annum. For general information please see the undergraduate finance pages.
Additional expenses
Policy on additional costs
All students should normally be able to complete their programme of study without incurring additional study costs over and above the tuition fee for that programme. Any unavoidable additional compulsory costs totalling more than 1% of the annual home undergraduate fee per annum, regardless of whether the programme in question is undergraduate or postgraduate taught, will be made clear to you at the point of application. Further information can be found in the University's Policy on additional costs incurred by students on undergraduate and postgraduate taught programmes (PDF document, 91KB).
Scholarships/sponsorships
Course unit details:
Neuroscience RSM
Unit code | BIOL20922 |
---|---|
Credit rating | 10 |
Unit level | Level 2 |
Teaching period(s) | Semester 2 |
Available as a free choice unit? | No |
Overview
This Research Skills Module is designed to develop your experimental design, report writing, and practical skills. You will develop a range of skills relevant to Neuroscience and/or Cognitive Neuroscience research including electrophysiological, biochemical, and histological methods. You will work with cells, human subjects and interactive computer simulations.
Pre/co-requisites
Unit title | Unit code | Requirement type | Description |
---|---|---|---|
Excitable Cells: the Foundations of Neuroscience | BIOL10832 | Pre-Requisite | Compulsory |
Sensory Systems | BIOL21341 | Co-Requisite | Compulsory |
Motor Systems | BIOL21332 | Co-Requisite | Compulsory |
Aims
To provide practical experience of a range of techniques and data analytical procedures relevant to current neuroscience and/or cognitive neuroscience research. The techniques will mainly be drawn from the disciplines of anatomy, pharmacology and physiology. Students will have the opportunity to work with a variety of biological preparations, from cells to whole humans, and with interactive computer simulations.
Learning outcomes
To be proficient in the use of a range of technical skills, including the application of selected electrophysiological, psychophysical, biochemical and histological methods, and to possess the abilities to find and understand information, to analyse complex data sets and to write scientific reports.
Syllabus
Core practicals for Neuroscience and CogNeuro:
- Human visual function - the Electroretinogram
- Operant conditioning - Virtual rat (Sniffy) behaviour
- Motor function – the electromyogram
- Human visual function - the Visually Evoked Potential
- Sheep brain dissection
- Human neuroanatomy
- Neurophysiology computer simulations
- Statistical analysis
Neuroscience-specific practicals:
- Neuropeptide Pathways
CogNeuro-specific practicals:
- Emotional arousal - galvanic skin response
Employability skills
- Analytical skills
- Students undertake both experimental laboratory and data analyses.
- Group/team working
- Students work in small groups (3-4) when undertaking a range of laboratory experiments and associated data analyses.
- Innovation/creativity
- Students are encouraged to design experiments to test specific hypotheses.
- Leadership
- Different members of small groups are encouraged to take the leadership role for coordinating the running of various experiments.
- Project management
- Small groups of students collaborate in the design, running and analysis of a series of laboratory experiments, allocating different tasks amongst group members.
- Oral communication
- Students are encouraged to answer questions during experimental classes.
- Problem solving
- Students undertake assessments based on solving both numerical and conceptual problems.
- Research
- The unit is based on students performing a series of laboratory research experiments to collect novel data that allow biological hypotheses to be tested.
- Written communication
- Students write a detailed report of a laboratory experiment and a series of short note answers to questions on each of 8 practical classes.
- Other
- Computer and IT skills in running and analysing laboratory experiments.
Assessment methods
Method | Weight |
---|---|
Other | 10% |
Report | 50% |
Practical skills assessment | 40% |
Degree specific assignment 10%
Report 50%
Practical Skills Assessment 40%
5x Practicals with short-note questions 8% each, Degree specific assignment 10%, Lab Report 50%
RSM Attendance guidelines
Students are expected to attend all scheduled RSM sessions on time (N.B. Health and safety information will be delivered at the start of practical sessions, and students who are not present at the start may be asked to leave the lab). Students who arrive late will be marked as absent for that session.Failure to attend a session (an unauthorised absence) will result in a 10% (i.e. 10 mark) penalty being applied to the overall RSM mark (i.e. a student obtaining a mark of 65% overall will instead receive a mark of 55%). Further absences will result in further penalties (i.e. 2 absences = a penalty of 20% (as described above)).
Feedback methods
Written comments on assessment exercises and lab reports and Feedback session with staff in lecture theatre.
Study hours
Scheduled activity hours | |
---|---|
Lectures | 4 |
Practical classes & workshops | 30 |
Independent study hours | |
---|---|
Independent study | 66 |
Teaching staff
Staff member | Role |
---|---|
Nicholas Glossop | Unit coordinator |