University Elective
MODULE CODE
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DELIVERY
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University Elective
Module Aims
Aim 1
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University Elective
Module Content
The module content depends on the student choice of elective.
PROGRAMME SPECIFICATIONS
Learning Outcomes
On successful completion of this module, a student will be able to:
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Teaching Methods
The module teaching methodology depends on the student choice of elective.
University Elective
Assessment Methods
The module assessment methods depends on the student choice of elective.
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View The Other Course’s Modules
Compulsory
Theory of Statistics
Analysis II – Differentiation and Riemann Integration
Linear and Generalised Linear Models
Discrete Mathematics
Advanced Computational Statistics and Data Analysis
From Geometry into Algebra
Analysis III – Metric and Topological Spaces
Introduction to Probability and Statistics
Functions, Vectors and Calculus
Introduction to Algebra and Linear Algebra
Computational Mathematics
Numerical Methods
Ordinary Differential Equations
Complex Analysis
Stochastic Processes
Time Series
Analysis I – Real Numbers, Sequences, Series and Continuity
Theory of Probability
Optional
Mechanics
Academic Writing
Study & Research Skills
History of Mathematics
Cryptology
Vector Calculus
Partial Differential Equations and Integral Transforms
Actuarial Mathematics and Statistics
Mathematics Project
Introduction to Applied Mathematics
Mathematics/Statistics Placement
Advanced topics in Mathematics / Statistics
Introduction to Econometrics
