+60142521561
BSc (Hons) Mathematics with Management
Course overview
| Qualification | Bachelor's Degree |
| Study mode | Full-time |
| Duration | 4 years |
| Intakes | January, September |
| Tuition (Local students) | Data not available |
| Tuition (Foreign students) | Data not available |
Advertisement
Admissions
Intakes
Fees
Tuition
- Data not available
- Local students
- Data not available
- Foreign students
Estimated cost as reported by the Institution.
Application
- Data not available
- Local students
- Data not available
- Foreign students
Student Visa
- Data not available
- Foreign students
Every effort has been made to ensure that information contained in this website is correct. Changes to any aspects of the programmes may be made from time to time due to unforeseeable circumstances beyond our control and the Institution and EasyUni reserve the right to make amendments to any information contained in this website without prior notice. The Institution and EasyUni accept no liability for any loss or damage arising from any use or misuse of or reliance on any information contained in this website.
Entry Requirements
- A Level: ABB-AAA, Min. units required: 3. Min. units preferred: 3. Mathematics at grade A.
- SQA Higher: ABBB-AAAA, Mathematics at grade A.
Curriculum
Modules (Year 1)
- Introduction to Linear Algebra
- Calculus and its Applications
- Proofs and Problem Solving
- Industrial Management 1
Modules (Year 2)
- Several Variable Calculus and Differential Equations
- Fundamentals of Pure Mathematics
- Statistics (Year 2)
- Computing and Numerics
- Accelerated Algebra and Calculus for Direct Entry
- Accelerated Proofs and Problem Solving
- Probability
- Probability with Applications
- Facets of Mathematics
- Techniques of Management
- Innovation and Enterprise for Scientists and Engineers 1
Modules (Year 3)
- Honours Algebra
- Honours Differential Equations
- Honours Analysis
- Honours Complex Variables
- Financial Mathematics
- Linear Statistical Modelling
- Combinatorics and Graph Theory
- Introduction to Number Theory
- Numerical Linear Algebra and Applications
- Likelihood
- Stochastic Modelling
- Linear Programming, Modelling and Solution
- Geometry
- Numerical Ordinary Differential Equations and Applications
Modules (Year 4)
- Mathematics Project
- Data Analysis
- Mathematical Education
- Jewels of Algebra
- Probability, Measure & Finance
- Topology
- Financial Mathematics
- Numerical Linear Algebra and Applications
- Hilbert Spaces
- Fundamentals of Optimization
- Linear Statistical Modelling
- Fundamentals of Operational Research
- Categorical Data Analysis
- Introduction to Lie Groups
- Theory of Statistical Inference
- Introduction to Number Theory
- Combinatorics and Graph Theory
- Likelihood
- Stochastic Modellingl
- The Analysis of Survival Data
- Dynamical Systems
- Fourier Analysis
- Nonparametric Regression
- Stochastic Models in Biology
- Simulation
- Nonlinear Optimization
- Computer Algebra
- Mathematical Programming
- Multivariate Data Analysis
- Algebraic Geometry