BSc Mathematics with Statistics
Entry requirements
GCSE: Mathematics and English at grade C/4 or above is required. A level: 112 points, to include a minimum of 2 A levels, including B in Mathematics or Further Mathematics. (Pure Maths, Pure and Applied Maths, Maths and Statistics, Maths and Mechanics are also accepted as they are considered the same as the Maths A level.) We do not run an unconditional offer scheme but may make personalised, lower offers to selected candidates. BTEC: DMM to include distinction in a mathematics unit. If you hold a BTEC qualification it is vital that you provide our Admissions team with details of the exact modules you have studied as part of the BTEC. Without this information we may be unable to process your application quickly and you could experience significant delays in the progress of your application to study with us. Please explicitly state the full list of modules within your qualification at the time of application. Access courses: Pass Access to HE Diploma with 33 level 3 credits with at least 12 Level 3 credits at distinction in Mathematics including a unit introducing calculus, plus, GCSEs: English and Maths at grade C/4. International Baccalaureate: 28 overall to include 5 at Higher Level mathematics. Other qualifications: Other qualifications are also welcome and will be considered individually, as will be individuals returning to education, email maths@plymouth.ac.uk
About this course
BSc (Hons) in Mathematics and Mathematics and Statistics. Core topics include Programming, Data Analysis, Statistics, Mathematical Modelling, Financial Analysis, and Artificial Intelligence & Machine Learning. The course includes an optional paid placement year and access to a High Performance Computer for final-year research. Students also complete an independent research project.
Modules
- Mathematics and Statistics Placement
- Stage 1 Mathematics Placement Preparation
- Mathematical Reasoning
- Calculus
- Linear Algebra
- Analysis and Group Theory
- Numerical Methods
- Fundamentals of Data Science
- Stage 2 Mathematics Placement Preparation
- Advanced Calculus
- Algebra and Transforms
- Differential Equations
- Operational Research
- Complex Analysis and Vector Calculus
- Data Modelling
- Health Data Science
- Machine Learning
- Big Data Analytics
- Partial Differential Equations
- Industrial Placement
- Modelling and Numerical Simulation
- Optimisation, Networks and Graphs
- Mathematics of Planet Earth
- Project
- School Placement
- Fluid Dynamics
- Financial Modelling