Why this course?
Our main focus in psychology is the study of human behaviour.
Studying with us, you'll look at conditions of behaviour – how we learn, remember, co-ordinate our actions and interact with others – and the reasons for differences between individuals, such as personality or intelligence.
Due to the popularity of the course and performance criteria for entry into Honours (Year 4) the numbers admitted to Years 2 and 3 of the course are limited.
Mathematics is everywhere: weather forecasting, cash machines, secure websites, electronic games, liquid crystal displays and statistical data analysis. Our course shows how mathematics is applied to solve practical problems, meaning you’ll learn the skills that employers need.
Our BA degrees in Humanities & Social Sciences are initially broad-based. In Year 1 you'll study three subjects, including your chosen subject(s).
What you’ll study
The first year covers the basic principles of learning:
- biological bases of behaviour
- social influences on behaviour
- changes in behaviour through the lifespan
- research methods
Years 2 & 3
Due to the popularity of the course, performance-related criteria may be in place to manage entry into Honours (Year 4); this means that the numbers admitted to Years 2 and 3 of the course are limited. Years 2 & 3 provides a greater understanding of human development and interaction, cognitive processes, individual differences and biological influences on behaviour.
We offer a variety of classes that allow you to study an area of psychology in greater depth. You'll study conceptual and historical issues in psychology and write a dissertation based on your research project.
There's an opportunity for you to take an optional international research placement through Erasmus.
The School of Psychological Sciences and Health has Erasmus exchange agreements with several European universities. We currently have active exchanges with:
- Humboldt University zu Berlin, Germany
- Universidad de A Coruna, Spain
- University of Twente, Netherlands
- University Tubingen, Germany
- Radbout University, Nijmegen, Netherlands
For general queries about exchanges to and from the School of Psychological Sciences and Health, please contact Dr Kellyanne Findlay.
You can undertake an optional summer research project working with a member of staff. In addition, there are opportunities to apply for funding to complete summer internships between year 3 and 4.
Our high-quality facilities include six purpose-built experimental research laboratories:
- driving simulator lab
- memory lab
- perception and action lab
- psychophysiology lab
- psycholinguistics lab
- oculomotor lab
Psychology graduates can progress into postgraduate training to become professional psychologists. We currently run a number of post-graduate courses which provide additional research training:
We currently award two prizes to exceptional psychology students.
The Gustav Jahoda Prize founded in 1997 in honour of Emeritus Professor Gustav Jahoda, the first Head of the Department of Psychology, is awarded annually on the recommendation of the Board of Examiners to a psychology Honours student for outstanding academic performance in their final year.
The British Psychological Society Undergraduate Award is also awarded annually for outstanding academic performance in the final year.
What you'll study
- Introduction to Calculus
- Applications of Calculus
- Linear Algebra and Differential Equations
- Probability and Statistical Interference
- Differential Equations
- Inference and Regression Modelling
You can also choose from a range of optional classes during Years 1 to 3.
In your final year of study, you'll be able to pick classes from an extensive range of options. These options can very from year-to-year.
You'll take this class in semester 1 and are not expected to have any prior knowledge of psychology. It explores learning theory, developmental psychology, personality, biological psychology, and the scientific basis for psychology.
This class is taught in semester 2 and covers sensation and perception, cognitive psychology, social psychology, abnormal psychology, and research methods.
Introduction to Calculus
You'll study the basic concepts and standard methods of mathematical notation and proof, polynomial equations and inequalities, sequences and series, functions, limits and continuity, differentiation and integration.
Applications of Calculus
Geometry & Algebra with Applications
The fundamental concepts of calculus (differentiation and integration) presented in Applications of Calculus will be examined in more detail, extended to a larger class of functions by means of more sophisticated methods, including an introduction to complex numbers and variables, all demonstrated in application to practical problems including solving basic first and second-order differential equations.
Statistics & Data Protection
This class will introduce you to vectors and matrices, along with the idea of mathematical modelling through their application to real-world problems.
Applications of Mathematics
Some basic ideas and techniques of statistics will be presented while introducing some essential study skills, allowing you to develop and practice personal and technical skills eg self study, teamwork, analysing data, writing reports and making presentations.
This class will introduce you to a range of interesting applications and explain the mathematics behind them.
Cognition & Neuropsychology
Social & Health Psychology
This class reveals how our understanding of higher mental functions has been enhanced through:
- theoretical and experimental studies of normal human cognition
- neuropsychological studies of how cognitive functions may be damaged as a result of brain lesions
Topics covered include disorders of the perceptual system, memory and attention, and the role of the frontal lobes in planning, motivation, emotion, and personality.
Introduction to Research Design & Analysis
This class introduces social psychological theories and research that provide insights into why people believe what they believe, and why they behave the way they do.
Topics covered include attribution theory, aggression, prosocial behaviour, group influence, norms, conformity, obedience, and attitudes.
It ends with an introduction to health psychology, demonstrating how social psychological principles covered earlier in the class are applied to pressing, real-world health issues such as dietary behaviour, smoking/alcohol-use, and suicide.
You'll be introduced to the main features of measurement, research design, and statistical analysis in psychology.
Following a general introduction, the course presents fundamental concepts, issues, and debates in the field of research methods.
You'll also become familiarised with the conceptual basis for inferential statistical testing, and introduced to different inferential statistics. Finally, a brief introduction to qualitative research methods takes place.
Linear Algebra & Differential Equations
This class will introduce you to the basic ideas of linear algebra, such as matrices and determinants, vector spaces, bases, eigenvalues and eigenvectors. You'll study various standard methods for solving ordinary differential equations and understand their relevance.
Basic ideas, techniques and results for calculus of two and three variables, along with differentiation and integration over curves, surfaces and volumes of both scalar and vector fields will be presented.
Probability & Statistical Inference
This class will give a rigorous treatment of convergence of sequences and infinite series of real numbers and of continuity, differentiability and integrability of functions of a real variable, and will illustrate the importance of these concepts in the analysis of problems arising in applications.
Introduction to Newtonian Mechanics
Presentation of the basic concepts of probability theory and statistical inference will be covered to provide you with the tools to appropriately analyse a given data set and effectively communicate the results of such analysis.
Mathematical & Statistical Computing
This class will develop your appreciation of the basic concepts of force, momentum and energy, and of Newton’s laws of motion and will equip you to apply these concepts to model physical systems, in particular the orbital motion of bodies.
This class will introduce you to the R computing environment. It'll enable you to use R to import data and perform statistical tests, allow you to understand the concept of an algorithm and what makes a good algorithm and will equip you for implementing simple algorithms in R.
Research Methods in Psychology
This class builds on year 2 and equips you with a broader, more advanced set of methodological and analytic skills. These skills are essential for carrying out the year 4 dissertation and for being able to read and understand articles published in academic journals.
You're encouraged to think scientifically about conceptual and practical issues related to the study of individual differences, with specific reference to intelligence and personality. You'll gain the chance to put this knowledge into practice by designing your own measurement instrument.
You'll be introduced to some of the core topics in cognitive psychology
- perception and action, particularly how we perceive time and recognise faces
- memory and learning, including models of episodic and working memory
- language, including word production, sentence comprehension, and discourse processing
- thinking, specifically problem solving, deductive reasoning and judgement and decision making
This class reviews the ways that children develop from infancy right through to the end of adolescence. Key theories are presented and used to explore the extent to which children’s development is continuous or stage-like and whether specific skills develop more quickly than others. Issues relating to infancy, ‘theory of mind’ (understanding others’ thoughts and beliefs), executive function (planning and monitoring abilities), language, and communication form the core themes in the class.
The purpose of this class is to provide the opportunity for you to learn the basic principles of brain function, and to encourage you to address the implications of this understanding for their own view of how behaviour is generated. It includes coverage of electrophysiology and psychopharmacology, neuroanatomy, research methods in neuroscience. There are focused sections relating to the visual system and the motor system.
This class allows you to consider current ideas and positions within social psychology. Four themes drive the class
- attitudes and attitude change, covering the Theory of Planned Behaviour and the Health Belief Model
- identity, with a focus on social, personal and group identities
- prejudice, connecting both attitudes and identities, and covering a broad range of areas such as social representations, stereotyping, prejudice and conflict
- epistemology, where consideration is given to the theory of knowledge, how social psychological knowledge is produced, and to what effect
Compulsory classesComplex Variables & Integral Transforms
This class will introduce functions of a complex variable, define concepts such as continuity, differentiability, analyticity, line integration, singular points, etc. It'll examine some important properties of such functions, and consider some applications of them, eg conformal mappings, and the evaluation of real integrals using the Residue Theorem. It'll also introduce you to Fourier and Laplace transform methods for solving linear ordinary differential equations and convolution type integral equations.
Here we'll introduce basic algebraic structures, with particular emphasis on those pertaining to finite dimensional linear spaces and deepen your understanding of linear mappings. We'll also provide an introduction to inner product spaces and bilinear forms.
We'll introduce you to analytical methods for solving ordinary and partial differential equations so you'll develop an understanding along with technical skills in this area.
Elective classesApplicable Analysis
Mechanics of Rigid Bodies & Fluids
We'll introduce you to the basic theory and applications of metric spaces, normed vector spaces and Banach spaces, inner product spaces and Hilbert spaces, and bounded linear operators on normed linear spaces.
Inference & Regression Modelling
This class will:
- convey the generalisation of the mechanics of single-particle systems to many-particle systems
- convey the central ideas of a continuum description of material behaviour and to understand relevant constraints
- ground students in the basic principles governing three-dimensional motions of rigid bodies
- convey how the ideas of continuum theory are applied to static and inviscid fluids.
This class will:
- review the concepts of probability distributions and how to work with these
- present approaches to parameter estimation, focusing on maximum likelihood estimation, bootstrap estimation, and properties of estimators
- present hypothesis testing procedures, including classical likelihood ratio tests and computer-based methods for testing parameter values, and goodness-of-fit tests.
- introduce and provide understanding of the least squares multiple regression model, general linear model, transformations and variable selection procedures
- present use of R functions for regression and interpretation of R output
Stochastics & Financial Econometrics
This module will motivate the need for numerical algorithms to approximate the solution of problems that can't be solved with pen and paper. It'll develop your skills in performing detailed analysis of the performance of numerical methods and will continue to develop your skills in the implementation of numerical algorithms using R.
You'll be introduced to the basic concepts of random phenomena evolving in time, from two complementary points of view: probabilistic modelling and data-driven analysis. Presentation of underlying ideas of simple stochastic processes, time series models, and the associated probability theory and statistical techniques will be covered. In addition to applications of the methods to financial and economic systems, including modelling, data analysis, and forecasting.
Dissertation in Psychology
Advanced Organisational Behaviour
The dissertation is an opportunity for you to undertake an original piece of research, closely supervised by a single member of staff. Planning for the dissertation begins in year 3, and dissertations can be of such high standards that they are subsequently published in peer-reviewed academic journals.
Advanced Psychological Theory & Practice
This class is offered by the Strathclyde Business School, and draws on current themes in Human Resource Management understood from the perspective of micro-organisational behaviour theory and research. Although the theoretical underpinning of the material covered is primarily about work and organisational issues at the level of individual behaviour in organisations, a contextual understanding of these issues is also encouraged.
Psychology Work Placement
Choice of topics may include:
- Belief & Anomalistic Experience
- The Psychology of Mental Health
- Artificial Intelligence
- Psychology & Ageing
- Psychology of Language
- Critical Review
- The Psychology & Cognitive Neuroscience of Face Recognition
- Neuropsychology of Ageing and Dementia
- Physiological Psychology
- Health Psychology
- Practical Aspects of Memory
Students have the opportunity to undertake a 20 credit work placement class where they will have the opportunity to apply their academic knowledge and skills in a workplace setting, and develop both personally and professionally. Students are supported to find a suitable placement and throughout the experience. Previous placements have included: the NHS, Schools, University departments and third sector organisations such as health support and rehabilitation charities.
Study abroadErasmus International Work Placement (elective)
This class is an option which is available to a restricted number of students who'll apply to take part. It involves a placement with a European University partner working in a research team during the summer between years 3 and 4. Additional assessment is the completed during semester 1 of year 4.
Compulsory classesCommunicating Mathematics & Statistics
This class provides you with experience of the skills required to undertake project work, and to communicate the findings in written and oral form using a variety of sources, such as books, journals and the internet.
Elective classesModelling & Simulation with Applications to Financial Derivatives
Applicable Analysis 3
Here you'll get an introduction to ideas in mathematics and statistics that can be used to model real systems, with an emphasis on the valuation of financial derivatives. This module places equal emphasis on deterministic analysis (calculus, differential equations) and stochastic analysis (Brownian motion, birth and death processes). In both cases, in addition to theoretical analysis, appropriate computational algorithms are introduced. The first half of the class introduces general modelling and simulation tools, and the second half focuses on the specific application of valuing financial derivatives, including the celebrated Black-Scholes theory.
Statistical Modelling & Analysis
This class will present the main results in Functional Analysis, give an introduction to linear operators on Banach and Hilbert spaces and study applications to integral and differential equations.
Fluids & Waves
This class will provide you with a range of applied statistical techniques that can be used in professional life.
Finite Element Methods for Boundary Value Problems & Approximation
You'll be introduced to the theory of Newtonian fluids and its application to flow problems and the dynamics of waves on water and in other contexts.
Applied Statistics in Society
You'll be presented with the basic theory and practice of finite element methods and polynomial and piecewise polynomial approximation theory.
Mathematical Biology & Marine Population Modelling
You'll be introduced to a range of modern statistical methods and practices used in industry, commerce and research, and will develop skills in your application and presentation.
Mathematical Introduction to Networks
Here you'll learn the application of mathematical models to a variety of problems in biology, medicine, and ecology. It'll show the application of ordinary differential equations to simple biological and medical problems, the use of mathematical modelling in biochemical reactions, the application of partial differential equations in describing spatial processes such as cancer growth and pattern formation in embryonic development, and the use of delay-differential equations in physiological processes. The marine population modelling element will introduce the use of difference models to represent population processes through applications to fisheries, and the use of coupled ODE system to represent ecosystems. Practical work will include example class case studies that will explore a real-world application of an ecosystem model.
Elasticity & Complex Materials
This class will demonstrate the central role network theory plays in mathematical modelling. It'll also show the intimate connection between linear algebra and graph theory and how to use this connection to develop a sound theoretical understanding of network theory. Finally, it'll apply this theory as a tool for revealing structure in networks.
Optimisation: Theory & Practice
We'll introduce you to general continuum theory with applications to Newtonian and non-Newtonian fluids and elastic materials.
We'll provide you with a basic mathematical understanding of modern approaches to optimization and the calculus of variations.
Dynamical Models in Epidemiology
Here you'll develop approaches to understanding complex or random systems in or out of equilibrium, based on ideas from statistical mechanics that incorporate familiar concepts and methods from neighbouring subjects like classical mechanics and probability and statistics.
You'll also be able to describe, through various examples and techniques, how macroscopic properties of systems arise from the ensemble action of many microscopic ingredients, and, specifically, how deterministic 'laws' may arise from basic randomness of a system with many variables or degrees of freedom. Fundamental examples include Brownian motion and the ideal gas.
We'll introduce mathematical models which arise in epidemiology and population dynamics, and help you develop techniques for analysing the qualitative behaviour of the associated dynamical systems.
We assess students using:
- class tests
- practical reports
- individual presentations
- group presentations
- degree examinations.
Online and face-to-face group project work is also included in the course. You'll take part in practical assignments from first-year onwards.
Understanding, knowledge and subject-specific skills are assessed by coursework assignments, reports, presentations and written exams.
Learning & teaching
Our methods include:
- small-group tutorials
- practical labs
- online tutorials
- online wikis
- group work
- problem-based learning
- one-to-one supervision
These methods are used across all years of the degree and aim to provide you with opportunities to learn and work in different ways.
A variety of different media is used in our lectures, including electronic presentations and computer demonstrations. We encourage you to take responsibility for your own learning and development.
As a mathematics student you'll attend tutorials and problems classes and take part in computer laboratories, coursework and projects.
Required subjects are indicated following typically accepted grades.
Standard entry requirements
1st sitting: AAAA (Higher English, Maths/Applications of Mathematics National 5 B, or equivalent, plus one subject from the list of Highers below)
2nd sitting: AAAABB (Higher English, Maths/Applications of Mathematics National 5 B, or equivalent, plus one subject from the list of Highers below)
- Classical Studies
- Modern Studies
- Religious Moral & Philosophical Studies
We recognise a wide range of Highers, however, your profile must reflect a good grounding in essay-based subjects.
Year 1 entry
Typical entry requirement: ABB (GCSE English Language 6/B or English Literature 6/B, GCSE Maths 4/C)
Minimum entry requirement: BBB (GCSE English Language 6/B or English Literature 6/B, GCSE Maths 4/C)
Typical entry requirement: AAA (two core subjects required; GCSE English Language 6/B or English Literature 6/B, GCSE Maths 4/C)
Minimum entry requirement: ABB (two core subjects at AB; (GCSE English Language 6/B or English Literature 6/B, GCSE Maths 4/C)
36 (Maths SL5)
Year 1 entry
HNC Social Sciences: A in Graded Unit; Maths National 5 B or equivalent
Irish Leaving Certificate
Subjects and grades as for Highers
It is important to take care over your personal statement. We look for information about your academic and career interests, and your range of skills, abilities, and relevant experience. Your personal statement should show evidence you have a strong awareness and interest in the subject you are applying to.
Deferred entry normally not accepted.
Applicants with Highers
Due to the high level of competition for the number of available places, it is unlikely that Conditional Offers will be made to anyone attaining less than AAB at the first sitting of Highers.
Second-year entry for A Level/Advanced Higher candidates is possible with AA/AB in the two subjects you are planning to study.
Admission to Honours
All students will be admitted as potential Honours students. Students may exit with a Bachelor of Arts degree at the end of Year 3 of the programme if they have accumulated at least 360 credits and satisfied the appropriate specialisation requirements. For admission to the final year of the Honours course, a student must have achieved an approved standard of performance.
We want to increase opportunities for people from every background. Strathclyde selects our students based on merit, potential and the ability to benefit from the education we offer. We look for more than just your grades. We consider the circumstances of your education and will make lower offers to certain applicants as a result.
Find out if you can benefit from this type of offer.
Find out entry requirements for your country.
Degree preparation course for international students
We offer international students (non EU/UK) who do not meet the academic entry requirements for
an undergraduate degree at Strathclyde the option of completing an Undergraduate Foundation year programme at the University of Strathclyde International Study Centre.
Upon successful completion, you will be able to progress to this degree course at the
University of Strathclyde.
Fees & funding
How much will my course cost?
All fees quoted are for full-time courses and per academic year unless stated otherwise.
Rest of UK
Assuming no change in Rest of UK fees policy over the period, the total amount payable by undergraduate students will be capped. For students commencing study in 2017/18, this is capped at £27,750 (with the exception of the MPharm and Integrated Masters courses); MPharm students pay £9,250 for each of the four years. Students studying on Integrated Masters degree programmes pay an additional £9,250 for the Masters year with the exception of those undertaking a full-year industrial placement where a separate placement fee will apply.
Dean’s International Undergraduate Scholarship
The Dean’s International Undergraduate Scholarship is open to new international students who will begin a full-time undergraduate course in the Faculty of Humanities and Social Sciences in September 2019. The award is a £3,500 scholarship per year for the duration of your degree. All offer holders are eligible to apply for this scholarship.
University preparation programme fees
International students can find out more about the costs and payments of studying a university preparation programme at the University of Strathclyde International Study Centre.
Course materials & costs
All recommended texts and computer software packages are available from the University Library and Pegasus.
Students should purchase a standard calculator. It's required for the duration of the course.
Course materials & costs
Class materials (lecture notes and exercise sheets) for the majority of Mathematics & Statistics classes are available free to download. For some classes, students may need access to a textbook. Textbook costs are typically in the £20-60 price range. These prices are dependent on format (e-book, soft or hardback) and whether bought new or second hand.
PVG scheme (Protection of Vulnerable Groups)
Third-year Maths and Teaching students will need to pay for the full price of a PVG membership scheme.
£40 returnable deposit for PRS handsets.
Please note: All fees shown are annual and may be subject to an increase each year. Find out more about fees.
How can I fund my studies?
Students from Scotland and the EU
If you're a Scottish or EU student, you may be able to apply to the Student Award Agency Scotland (SAAS) to have your tuition fees paid by the Scottish government. Scottish students may also be eligible for a bursary and loan to help cover living costs while at University.
For more information on funding your studies have a look at our University Funding page.
Students from England, Wales & Northern Ireland
We have a generous package of bursaries on offer for students from England, Northern Ireland and Wales
You don’t need to make a separate application for these. When your place is confirmed at Strathclyde, we’ll assess your eligibility.
Have a look at our scholarship search for any more funding opportunities
International Students (Non UK, EEA)
We have a number of scholarships available to international students. Take a look at our scholarship search to find out more.
We have a wide range of scholarships available. Have a look at our scholarship search to find a scholarship.
As a psychology graduate, continuing your studies will help you become a professional psychologist, which can lead to working in areas such as clinical, educational or occupational psychology. Many graduates also work in research.
Other possible careers are teaching, human resource management, social work, counselling and management and professional positions throughout the private and public sectors.
A wide range of employment opportunities are open to graduates in mathematics & statistics. Associated areas include the manufacturing and service industries, the actuarial, accountancy and banking professions, commerce and government, consultancy and education.
Many graduates go on to work as investment analysts, numerical analysts, statisticians, actuaries, managers and teachers.