Core modules
Core modules are taken by all students on the course. They give you a solid grounding in your chosen subject and prepare you to explore the topics that interest you most.
Autumn teaching
- Analysis 1
- Foundations of Data Analysis
- Fundamentals of Mathematics
- Linear Algebra 1
Spring teaching
- Analysis 2
- Computational Mathematics
- Data Structures and Algorithms
- Linear Algebra 2
We regularly review our modules to incorporate student feedback, staff expertise, as well as the latest research and teaching methodology. We’re planning to run these modules in the academic year 2024/25. However, there may be changes to these modules in response to feedback, staff availability, student demand or updates to our curriculum. We’ll make sure to let you know of any material changes to modules at the earliest opportunity.
Check back in January 2024 for more details of the modules running in the academic year 2024/25.
Core modules
Core modules are taken by all students on the course. They give you a solid grounding in your chosen subject and prepare you to explore the topics that interest you most.
Autumn teaching
- Calculus of Several Variables
- Introduction to Probability
- Ordinary Differential Equations
- Scientific Computing
Spring teaching
- Fundamentals of Machine Learning
- Numerical Analysis
- Probability and Statistics
- Real Analysis
We regularly review our modules to incorporate student feedback, staff expertise, as well as the latest research and teaching methodology. We’re planning to run these modules in the academic year 2024/25. However, there may be changes to these modules in response to feedback, staff availability, student demand or updates to our curriculum. We’ll make sure to let you know of any material changes to modules at the earliest opportunity.
Check back in January 2024 for more details of the modules running in the academic year 2024/25.
Study abroad (optional)
Apply to study abroad – you’ll develop an international perspective and gain an edge when it comes to your career. Find out where your course could take you
If your application to study abroad is successful, you’ll have to meet the academic requirements at Sussex and also at the partner university. Find out more about studying abroad as a Sussex student
Placement (optional)
To help you gain experience and increase your employability, you can apply for an optional placement as part of your course. You’ll be responsible for applying for and securing your placement. Our dedicated careers team can provide you with information and advice. If you’re successful in obtaining a placement, this will form part of your course.
Find out more about placements and internships
Recent students have gone on placements at:
- Rolls-Royce Motor Cars Ltd
- NATS Holdings
- HEFCE.
SEPnet Employer Programme
We are a core part of the SEPnet (South East Physics Network) consortium, which gives us links to universities and industries across the region. SEPnet’s Employer Programme creates opportunities for our students to apply for eight-week funded summer placements.
Find out more at Department of Physics and Astronomy: South East Physics Network (SEPnet)
Please note that if you’re receiving – or applying for – USA federal Direct Loan funds, you can’t transfer to the version of your course with an optional study abroad period in any country or optional placement in the USA if the number of credits for the placement/internship exceeds 25% of the total credits for your course. Find out more about American Student Loans and Federal Student Aid
Core modules
Core modules are taken by all students on the course. They give you a solid grounding in your chosen subject and prepare you to explore the topics that interest you most.
Autumn teaching
- Linear Statistical Models
Spring teaching
Options
Alongside your core modules, you can choose options to broaden your horizons and tailor your course to your interests. This list gives you a flavour of our options, which are kept under review and may change, for example in response to student feedback or the latest research.
While it’s our aim for students to take their preferred combinations of options, this can’t be guaranteed and will be subject to timetabling. Options may be grouped and if so, students will be able to choose a set number of options from the selection available in any particular group.
Autumn teaching
- Advanced Numerical Analysis
- Financial Mathematics
- Functional Analysis
- Introduction to Mathematical Biology
- Measure Theory with Applications
- Partial Differential Equation
- Probability Models
Spring teaching
- Advanced PDEs
- Continuum Mechanics
- Cryptography
- Dynamical Systems
- Monte Carlo Simulations
- Numerical Solution of PDEs
- Random Processes
We regularly review our modules to incorporate student feedback, staff expertise, as well as the latest research and teaching methodology. We’re planning to run these modules in the academic year 2024/25. However, there may be changes to these modules in response to feedback, staff availability, student demand or updates to our curriculum. We’ll make sure to let you know of any material changes to modules at the earliest opportunity.
We’ll do our best to provide as much optional choice as we can, but timetabling constraints mean it may not be possible to take some module combinations. The structure of a small number of courses means that the order of modules or the streams you choose may determine whether modules are core or optional. This means that your core modules or options may differ from what’s shown here.
Check back in January 2024 for more details of the modules running in the academic year 2024/25.
Core modules
Core modules are taken by all students on the course. They give you a solid grounding in your chosen subject and prepare you to explore the topics that interest you most.
Autumn teaching
- Data Science Research Methods
- MMath Project
Spring teaching
- Machine Learning
- MMath Project
Options
Alongside your core modules, you can choose options to broaden your horizons and tailor your course to your interests. This list gives you a flavour of our options, which are kept under review and may change, for example in response to student feedback or the latest research.
While it’s our aim for students to take their preferred combinations of options, this can’t be guaranteed and will be subject to timetabling. Options may be grouped and if so, students will be able to choose a set number of options from the selection available in any particular group.
Autumn teaching
- Advanced Numerical Analysis
- Algorithmic Data Science
- Applied Nature Language Processing
- Financial Mathematics
- Functional Analysis
- Measure and Integration
- Probability Models
- Programming in C++
Spring teaching
- Advanced Natural Language Processing
- Advanced PDEs
- Continuum Mechanics
- Financial Portfolio Analysis
- Image Processing
- Monte Carlo Simulations
- Numerical Solution of PDEs
- Random Processes
- Wider Topics in Data Science
We regularly review our modules to incorporate student feedback, staff expertise, as well as the latest research and teaching methodology. We’re planning to run these modules in the academic year 2024/25. However, there may be changes to these modules in response to feedback, staff availability, student demand or updates to our curriculum. We’ll make sure to let you know of any material changes to modules at the earliest opportunity.
We’ll do our best to provide as much optional choice as we can, but timetabling constraints mean it may not be possible to take some module combinations. The structure of a small number of courses means that the order of modules or the streams you choose may determine whether modules are core or optional. This means that your core modules or options may differ from what’s shown here.
Check back in January 2024 for more details of the modules running in the academic year 2024/25.
