MASN (Matric Yr 2022-2023)

BSc in Mathematical Sciences with Second Major in Sustainability

Curriculum (Matriculation Year 2022-2023)

Curriculum Overview

The Mathematical Sciences major is divided into four tracks: Pure Mathematics (PMAS), Applied Mathematics (AMAS), Statistics (STAT), and Business Analytics (BA). The distribution of Academic Units (AU) varies between the different tracks.

Course Type	Academic Units (AU)
Course Type	PMAS	AMAS	STAT	BA
Core Courses	45	45	45	37
Track Core	7	7	8	13
Prescribed Electives for chosen Track Choose one of the two options: Take Professional Attachment (PA), MH4913. Take Professional Internship (PI), MH4912. AU figures for the PI option are shown in parentheses.	24 (19)	24 (19)	23 (18)	26 (21)
Interdisciplinary Collaborative Core: Common Core	17
Interdisciplinary Collaborative Core: Foundational Core	10 (15)
Broadening and Deepening Electives (BDE) All Second Major courses are read as BDEs.	30
Total	133 AU

Notes:

AU figures in parentheses (x) indicate the number of AU if the option with PI is selected.
A grade of A- or better in the Final Year Project (MH4900) is required to be eligible for Honours (Highest Distinction).
To satisfy the major with a Concentration in the Mathematics of Information and Communication, a student must also pass four courses in the Mathematics of Information and Communication List.
To satisfy the major with a Concentration in Computational Mathematics, a student must also pass four courses in the Computational Mathematics List.
All core and track core courses cannot be mapped to exchange courses. A maximum of three Major Prescribed Electives can be mapped to exchange courses. Please refer to this page for more information.

Curriculum by Year

Year 1 Semester 1

MH1100 - Calculus I	4 AU
MH1200 - Linear Algebra I	4 AU
MH1300 - Foundations of Mathematics	4 AU
PS0001 - Introduction to Computational Thinking	3 AU
CC0003 - Ethics & Civics in a Multi-Cultural World	2 AU
CC0002 - Navigating the Digital World	2 AU
HW0001 - Introduction to Academic Communication (for students who fail QET)	0 AU

Year 1 Semester 2

MH1101 - Calculus II	4 AU
MH1201 - Linear Algebra II	4 AU
MH1301 - Discrete Mathematics	3 AU
MH1403 - Algorithms and Computing	3 AU
CC0001 - Inquiry and Communication in an interdisciplinary World	2 AU
CC0005 - Healthy Living and Wellbeing	3 AU

Year 2 Semester 1

For Business Analytics Track (BA)
MH2100 - Calculus III	4 AU
MH2500 - Probability and Introduction to Statistics	4 AU
CC0006 - Sustainability: Society, Economy & Environment	3 AU
ML0004 - Career and Innovative Enterprise for the Future World	2 AU
Broadening and Deepening Elective(s) / Second Major course(s)	3/4 AU each
BE1402 - Business Operations and Processes	3 AU
BU8601 - Fundamentals of Management	3 AU

Year 2 Semester 2

For Pure Mathematics Track (PMAS)
PS0002 - Introduction to Data Science and Artificial Intelligence	3 AU
CC0007 - Science & Technology for Humanity	3 AU
Track Prescribed Elective(s)	4 AU each
Broadening and Deepening Elective(s) / Second Major course(s)	3/4 AU each
MH2220 - Algebra I	3 AU
MH3100 - Real Analysis I	4 AU
MH3110 - Ordinary Differential Equations	4 AU
For Applied Mathematics Track (AMAS)
MH3100 - Real Analysis I	4 AU
MH3110 - Ordinary Differential Equations	4 AU
MH3701 - Basic Optimization	4 AU
For Statistics Track (STAT)
MH3100 - Real Analysis I	4 AU
MH3110 - Ordinary Differential Equations	4 AU
MH3500 - Statistics	4 AU
For Business Analytics Track (BA)
MH3500 - Statistics	4 AU
MH3511 - Data Analysis with Computer	3 AU

Year 2 Special Terms

MH4913 Professional Attachment
(for PA option; can also be taken during Year 3 Special Terms)

5 AU

Year 3 Semester 1

For Pure Mathematics Track (PMAS)
HW0218 - Communication Across the Sciences	2 AU
Track Prescribed Elective(s)	4 AU each
Broadening and Deepening Elective(s) / Second Major course(s)	3/4 AU each
MH3101 - Complex Analysis	4 AU
For Statistics Track (STAT)
MH3510 - Regression Analysis	4 AU

Year 3 Semester 2

For Applied Mathematics Track (AMAS)
Track Prescribed Elective(s)	4 AU each
Broadening and Deepening Elective(s) / Second Major course(s)	3/4 AU each
MH3700 - Numerical Analysis I	3 AU

Year 3 Special Terms

MH4913 Professional Attachment
(for PA option; can also be taken during Year 2 Special Terms)

5 AU

Year 4 Semester 1

Track Prescribed Elective(s)	4 AU each
Broadening and Deepening Elective(s) / Second Major course(s)	3/4 AU each
MH4912 - Professional Internship (for PI option)	10 AU

Year 4 Semester 2

Track Prescribed Elective(s)	4 AU each
Broadening and Deepening Elective(s) / Second Major course(s)	3/4 AU each

Prescribed Electives

Option with PA: Choose 24 AU of courses from the following list; at least 16 AU must be level 4 or higher.
Option with PI: Choose 19 AU of courses from the following list; at least 8 AU must be level 4 or higher (excluding the Final Year Project (MH4900)).

MH3220 - Abstract Algebra II	4 AU	Sem 1
MH3210 - Number Theory	4 AU	Sem 1
MH3400 - Algorithms for the Real World	4 AU	Sem 2
MH3520 - Mathematics of Deep Learning	4 AU	Sem 1
MH3600 - Topology and Manifolds	4 AU	Sem 2
MH4100 - Real Analysis II	4 AU	Sem 2
MH4200 - Abstract Algebra II	4 AU	Sem 2
MH4300 - Combinatorics	4 AU	Sem 1
MH4301 - Set Theory and Logic	4 AU	Sem 1 or 2
MH4302 - Theory of Computing	4 AU	Sem 1 or 2
MH4310 - Coding Theory	4 AU	Sem 2
MH4311 - Cryptography	4 AU	Sem 1
MH4600 - Algebraic Topology	4 AU	Sem 2
MH4601 - Differential Geometry	4 AU	Sem 2
MH7002 - Discrete Methods	4 AU	Sem 2
MH4900 - Final Year Project	8 AU	Sem 1 & 2
MH4910, MH4911, MH492x, MH493x (subject to division approval)	4 AU

Option with PA: Choose 24 AU of courses from the following list; at least 16 AU must be level 4 or higher.
Option with PI: Choose 19 AU of courses from the following list; at least 8 AU must be level 4 or higher (excluding the Final Year Project (MH4900)).

MH2220 - Algebra I	3 AU	Sem 2
MH3101 - Complex Analysis	4 AU	Sem 1
MH3300 - Graph Theory	4 AU	Sem 1
MH3400 - Algorithms for the Real World	4 AU	Sem 2
MH3401 - Signal and Noise in Biology	3 AU	Sem 2
MH3512 - Stochastic Processes	4 AU	Sem 1
MH3520 - Mathematics of Deep Learning	4 AU	Sem 1
MH3600 - Topology and Manifolds	4 AU	Sem 2
MH4110 - Partial Differential Equations	4 AU	Sem 2
MH4302 - Theory of Computing	4 AU	Sem 1 or 2
MH4310 - Coding Theory	4 AU	Sem 2
MH4311 - Cryptography	4 AU	Sem 1
MH4320 - Computational Economics	4 AU	Sem 1
MH4514 - Financial Mathematics	4 AU	Sem 2
MH4517 - Data Applications in Natural Sciences	4 AU	Sem 2
MH4518 - Simulation Techniques in Finance	4 AU
MH4519 - Financial Econometrics	4 AU	Sem 2
MH4700 - Numerical Analysis II	4 AU	Sem 1
MH4701 - Mathematical Programming	4 AU	Sem 1
MH4702 - Probabilistic Methods in OR	4 AU	Sem 1
MH7002 - Discrete Methods	4 AU	Sem 1
SC2001 - Algorithm Design and Analysis	3 AU
SC4001 - Neural Network and Deep Learning	3 AU
EE4476 - Image Processing	3 AU
MH4900 - Final Year Project	8 AU	Sem 1 & 2
MH4910, MH4911, MH492x, MH493x (subject to division approval)	4 AU

Option with PA: Choose 23 AU of courses from the following list; at least 15 AU must be level 4 or higher.
Option with PI: Choose 18 AU of courses from the following list; at least 7 AU must be level 4 or higher (excluding the Final Year Project (MH4900)).

MH2220 - Algebra I	3 AU	Sem 1
MH3400 - Algorithms for the Real World	4 AU	Sem 2
MH3401 - Signal and Noise in Biology	3 AU	Sem 2
MH3512 - Stochastic Processes	4 AU	Sem 1
MH3520 - Mathematics of Deep Learning	4 AU	Sem 1
MH3701 - Basic Optimization	4 AU	Sem 2
MH4302 - Theory of Computing	4 AU	Sem 1 or 2
MH4320 - Computational Economics	4 AU	Sem 1
MH4500 - Time Series Analysis	4 AU	Sem 2
MH4501 - Multivariate Analysis	4 AU	Sem 2
MH4510 - Statistical Learning and Data Mining	4 AU	Sem 1
MH4511 - Sampling & Survey	4 AU	Sem 1
MH4512 - Clinical Trials	4 AU	Sem 2
MH4513 - Survival Analysis	4 AU	Sem 1
MH4514 - Financial Mathematics	4 AU	Sem 2
MH4515 - Applied Bayesian Statistics	4 AU
MH4516 - Applied Categorical Data Analysis	4 AU
MH4517 - Data Applications in Natural Sciences	4 AU	Sem 2
MH4518 - Simulation Techniques in Finance	4 AU
MH4519 - Financial Econometrics	4 AU	Sem 2
MH4701 - Mathematical Programming	4 AU	Sem 1
MH4702 - Probabilistic Methods in OR	4 AU	Sem 1
BA2202 – Mathematics of Finance	4 AU	Sem 1
BA3202 – Actuarial Statistics	4 AU	Sem 1
HE3022 – Econometric Modeling and Forecasting	3 AU	Sem 2
HE4021 – Advanced Econometrics	4 AU	Sem 2
MH4900 - Final Year Project	8 AU	Sem 1 & 2
MH4910, MH4911, MH492x, MH493x (subject to division approval)	4 AU

Option with PA: Choose 26 AU of courses from the following list. At least 2 courses must be from List B1, and at least 14 AU must be level 4 or higher.
Option with PI: Choose 21 AU of courses from the following list. At least 2 courses must be from List B1, and at least 6 AU must be level 4 or higher (excluding the Final Year Project (MH4900)).

List B1
BC2402 - Designing & Developing Databases	4 AU
BC2411 - Prescriptive Analytics: From Data to Decision	3 AU
BT2404 - Services Operations Management	3 AU
BC3410 - Financial Service Processes and Analytics	3 AU
List B2
MH3110 - Ordinary Differential Equations	4 AU
MH3400 - Algorithms for the Real World	4 AU
MH3510 - Regression Analysis	4 AU
MH3520 - Mathematics of Deep Learning	4 AU
MH3700 - Numerical Analysis I	3 AU
MH3701 - Basic Optimization	4 AU
MH4320 - Computational Economics	4 AU
MH4500 - Time Series Analysis	4 AU
MH4501 - Multivariate Analysis	4 AU
MH4510 - Statistical Learning and Data Mining	4 AU
MH4513 - Survival Analysis	4 AU
MH4517 - Data Applications in Natural Sciences	4 AU
MH4518 - Simulation Techniques in Finance	4 AU
MH4519 - Financial Econometrics	4 AU
MH4700 - Numerical Analysis II	4 AU
MH4701 - Mathematical Programming	4 AU
MH4702 - Probabilistic Methods in OR	4 AU
SC2207 - Introduction to Databases	3 AU
SC4000 - Machine Learning	3 AU
SC4021 - Information Retrieval	3 AU
MH4900 - Final Year Project	8 AU
MH4910, MH4911, MH492x, MH493x (subject to approval by division)	4 AU

MH3320 - Dynamical System Theory with Chaos and Fractals	4 AU	Sem 2
MH4910 - Undergraduate Research Experience in Mathematical Sciences I	4 AU	Sem S
MH4911 - Undergraduate Research Experience in Mathematical Sciences II	4 AU	Sem S
MH4930 - Special Topics in Mathematics	4 AU
MH4931 - Special Topics in Applied Mathematics	4 AU
MH4932 - Special Topics in Statistics	4 AU
MH4920 - Supervised Independent Study I	4 AU	Sem 1 & 2
MH4921 - Supervised Independent Study II	4 AU	Sem 1 & 2

Second Major Courses

To be awarded the Second Major in Sustainability, students must read a minimum total of 30 AU as Broadening and Deepening Electrives (BDEs), comprising:

5 core courses (5 courses x 3 AU = 15 AU): 1 core course in each knowledge area (People, Planet, Profit, Practice, Policy).
A minimum total of 12 AU from elective courses.
Interdisciplinary Project (3 AU) dedicated to a cross-school group work project, selected from a list of competitions and initiatives.

The list of courses can be found here.

School of Physical and Mathematical Sciences

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