BACHELOR DEGREES
Bachelor of Applied Mathematics and Statistics
Domestic,International
Plan code:
BP083P23
Duration:
3 years full-time; 6 years part-time
3 years full-time
Campus:
City Campus
CRICOS Code:
111273G
Program Structure
To graduate you must complete the following: All courses listed may not be available each semester
You must complete a total of 288 credit points (e.g. Twenty-Four 12 credit point courses) as follows:
Year 1: Five (5) Core courses (60 credit points); and
Year 2: Two (2) Core courses (24 credit points); and
Year 3: One (1) Core course (12 credit points); and
Years 1 to 3: Total of 192 credit points from one of the following combinations:
List of Combinations
Combination 1: Complete Mathematics Major (96 credit points), Statistics Minor (48 credit points), Two (2) Mathematics Advanced Courses (24 credit Points), and Two University Electives (24 credit points); or
Combination 2: Complete Statistics Major (96 credit points), Mathematics Minor (48 credit points), Two (2) Statistics Advanced Courses (24 credit Points), and Two University Electives (24 credit points)
Year One of Program
Complete the following Five (5) Courses:
ANDComplete Thirty-six (36) credit points from your selected combination.
| Course Title | Credit Points | Course Code | Campus |
|---|---|---|---|
| Data for a Scientific World | 12 | ONPS2700 | City Campus |
| Physical Sciences in Action | 12 | ONPS2701 | City Campus |
| The World of Life Sciences | 12 | ONPS2699 | City Campus |
| A Mathematical Toolbox for Scientists | 12 | MATH2443 | City Campus |
| STEM for Sustainable Development | 12 | ONPS2702 | City Campus |
AND
Year Two of Program
Complete the following Two (2) Courses:
ANDComplete Seventy-two (72) credit points from your selected combination.
| Course Title | Credit Points | Course Code | Campus |
|---|---|---|---|
| Foundations of Artificial Intelligence for STEM | 12 | COSC2960 | City Campus |
| Cyber-Physical-Biological Systems: Technology for a Digital World | 12 | BIOL2525 | City Campus |
AND
Year Three of Program
Complete the following One (1) Course:
ANDComplete Eighty-four (84) credit points from your selected combination.
| Course Title | Credit Points | Course Code | Campus |
|---|---|---|---|
| Industrial Applications of Mathematics and Statistics 2 | 12 | MATH2197 | City Campus |
AND
Major List
List of Major(s):
AND
(
Major: Mathematics
Complete the following Seven (7) Courses:
ANDSelect and Complete One (1) of the following Courses:
| Course Title | Credit Points | Course Code | Campus |
|---|---|---|---|
| Vectors and Calculus | 12 | MATH1144 | City Campus |
| Advanced Linear Algebra with Vector Calculus | 12 | MATH2311 | City Campus |
| Discrete Mathematics | 12 | MATH1150 | City Campus |
| Modelling with Differential Equations | 12 | MATH2138 | City Campus |
| Real and Complex Analysis | 12 | MATH2150 | City Campus |
| Optimisation | 12 | MATH2390 | City Campus |
| Mathematical Computing and Algorithms | 12 | MATH2109 | City Campus |
| Course Title | Credit Points | Course Code | Campus |
|---|---|---|---|
| Complex Networks | 12 | MATH2312 | City Campus |
| Graph Algorithms and Applications | 12 | MATH2308 | City Campus |
OR
Major: Statistics
Complete the following Seven (7) Courses:
ANDSelect and complete One (1) of the following Courses:
| Course Title | Credit Points | Course Code | Campus |
|---|---|---|---|
| Data Visualisation with R | 12 | MATH2237 | City Campus |
| Statistical Methodologies | 12 | MATH2201 | City Campus |
| Industrial Applications of Mathematics and Statistics 1 | 12 | MATH2196 | City Campus |
| Statistical Inference | 12 | MATH2155 | City Campus |
| Linear Models and Experimental Design | 12 | MATH2203 | City Campus |
| Time Series and Forecasting | 12 | MATH2204 | City Campus |
| Machine Learning | 12 | MATH2387 | City Campus |
| Course Title | Credit Points | Course Code | Campus |
|---|---|---|---|
| Analysis of Categorical Data | 12 | MATH2300 | City Campus |
| Applied Bayesian Statistics | 12 | MATH2305 | City Campus |
)
AND
Minor List
List of Minor(s):
AND
(
Minor: Mathematics
Complete the following Four (4) Courses:
| Course Title | Credit Points | Course Code | Campus |
|---|---|---|---|
| Vectors and Calculus | 12 | MATH1144 | City Campus |
| Advanced Linear Algebra with Vector Calculus | 12 | MATH2311 | City Campus |
| Discrete Mathematics | 12 | MATH1150 | City Campus |
| Modelling with Differential Equations | 12 | MATH2138 | City Campus |
OR
Minor: Statistics
Complete the following Three (3) Courses:
ANDSelect and complete One (1) of the following Courses:
| Course Title | Credit Points | Course Code | Campus |
|---|---|---|---|
| Data Visualisation with R | 12 | MATH2237 | City Campus |
| Statistical Methodologies | 12 | MATH2201 | City Campus |
| Industrial Applications of Mathematics and Statistics 1 | 12 | MATH2196 | City Campus |
| Course Title | Credit Points | Course Code | Campus |
|---|---|---|---|
| Time Series and Forecasting | 12 | MATH2204 | City Campus |
| Machine Learning | 12 | MATH2387 | City Campus |
)
AND
Advanced Course List:
Advanced Mathematics Courses:
ANDAdvanced Statistics Courses:
| Course Title | Credit Points | Course Code | Campus |
|---|---|---|---|
| Linear Programming and Modelling | 12 | MATH1288 | City Campus |
| Algebra for Information Security | 12 | MATH2148 | City Campus |
| Course Title | Credit Points | Course Code | Campus |
|---|---|---|---|
| Mathematical Computing and Algorithms | 12 | MATH2109 | City Campus |
| Graph Algorithms and Applications | 12 | MATH2308 | City Campus |
