Bachelor of Science in Mathematics and Statistics
Course overview
Qualification | Bachelor's Degree |
Study mode | Full-time |
Duration | 4 years |
Intakes | January, May, September |
Tuition (Local students) | Data not available |
Tuition (Foreign students) | Data not available |
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
- Related qualifications accepted by the university
English Language Requirements:
- TOEFL: A minimum score of 79 with at least 20 in each of Reading and Writing, and no less than 17 in Listening and Speaking is required on the internet-based TOEFL.
- IELTS: A minimum overall band score of 6.5, with at least band 6 in each of Writing and Reading.
Curriculum
Common Core Mathematics Courses:
- Calculus I
- Calculus II
- Finite Mathematics I
- Finite Mathematics II
- Algebra and Trigonometry
- Calculus III
- Linear Algebra I
- Linear Algebra II
- Introduction to the History of Mathematics
- Mathematics of Finance
- Introduction to Actuarial Mathematics
- Real Analysis I
- Real Analysis II
- Lebesgue Integration
- Functional Analysis
Applied Mathematics Courses:
- Technical Writing in Mathematics
- Introduction to Dynamical Systems
- Applied Complex Analysis
- Numerical Analysis I
- Ordinary Differential Equations II
- Applied Functional Analysis
- Introduction to General Relativity
- Numerical Linear Algebra
- Introduction to Optimization
- Numerical Optimization
- Introduction to Mathematical Control Theory
- Partial Differential Equations I
- Integral Equations
- Numerical Methods for Differential Equations
- Partial Differential Equations II
- Introduction to Fluid Dynamics
- Mathematical Modelling
- Applied Mathematics Honours Project