BSc Neuroscience (with a year in industry)
Entry requirements
A level: CCC (Essential subjects: Biology or Chemistry, plus equivalent of GCSE Mathematics) IB: 28 points, including 5, 5, 4 at higher level Essential subjects: Biology or Chemistry at Higher Level plus Standard Level Chemistry at 4, Biology at 4, and Mathematics at 5 Higher / Advanced Higher, SQA (standard): BBCC (Essential subjects: Higher Biology or Human Biology or Chemistry plus National 5 Chemistry at C, Biology at C, and Mathematics at C).
About this course
BSc (Hons) in Biological Sciences, combining laboratory-based bioscience with pharmacology and neuroscience. Core topics include Programming, Data Analysis, Statistics, Laboratory Techniques, Research Methods, and Artificial Intelligence & Machine Learning. The course offers an optional year in industry between levels three and four, with placement support provided. A semester-long research project is completed in the final years, and flexible module selection allows specialisation in areas such as neuroscience or pharmacology.
Modules
- Core Skills in the Life Sciences 1A
- The Building Blocks of Life
- Core Skills in the Life Sciences 1B
- Building the Organism
- Numeracy, Chemistry and Physics for the Biological and Biomedical Sciences
- Science and Society
- Fundamentals of Organic Chemistry
- Statistics and Experimental Design
- Cellular Communication
- Core Skills in the Life Sciences 2A
- Human Physiology and Pharmacology
- Biomolecular Mechanisms
- Core Skills in the Life Sciences 2B
- Organic Chemistry for the Life Sciences
- Introductory Programming for Life Sciences
- Introductory Anatomy
- Research Skills 3A
- Cardiovascular, Respiratory Systems and Renal Systems
- Neurophysiology, Endocrine and Gastrointestinal Systems
- Pharmacology
- Neuropharmacology
- Cell Signalling
- Bioinformatics Methods
- Mechanisms and Disorders of Memory
- Translational Neuroscience
- Capstone Project: Biological and Biomedical Sciences
- Machine Learning in Biology
- Stem Cell Biology
- Advanced Cell Signalling in Health and Disease
- Metabolic Disease: Pathophysiology and Pharmacology