MAET (Matric Yr 2023)

BSc in Mathematical Sciences with Second Major in Entrepreneurship

Curriculum (Matriculation Year 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 TypeAcademic Units (AU)
PMASAMASSTATBA
Core Courses45454537
Track Core77813
Prescribed Electives for chosen Track

    19191821
    Interdisciplinary Collaborative Core: Common Core17
    Interdisciplinary Collaborative Core: Foundational Core15

    Broadening and Deepening Electives (BDE)

    Second Major Courses

    Unrestricted BDEs: Can take BDEs offered by any School.

     

    25

     

    8

    Total136 AU

    Notes:

    • A grade of A- or better in the Final Year Project (MH4900) is required to be eligible for Honours (Highest Distinction).
    • Students must read either Professional Internship (MH4912) or a 20-week Overseas Entrepreneurship Programme (OEP) to fulfill the ICC-FC requirement.
    • 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 I4 AU
    MH1200 - Linear Algebra I4 AU
    MH1300 - Foundations of Mathematics4 AU
    PS0001 - Introduction to Computational Thinking3 AU
    CC0003 - Ethics & Civics in a Multi-Cultural World2 AU
    CC0002 - Navigating the Digital World2 AU
    HW0001 - Introduction to Academic Communication
    (for students who fail QET)
    0 AU

    Year 1 Semester 2

    MH1101 - Calculus II4 AU
    MH1201 - Linear Algebra II4 AU
    MH1301 - Discrete Mathematics3 AU
    MH1403 - Algorithms and Computing3 AU
    CC0001 - Inquiry and Communication in an interdisciplinary World2 AU
    CC0005 - Healthy Living and Wellbeing3 AU

    Year 2 Semester 1

    MH2100 - Calculus III4 AU
    MH2500 - Probability and Introduction to Statistics4 AU
    CC0006 - Sustainability: Society, Economy & Environment3 AU
    ML0004 - Career and Innovative Enterprise for the Future World2 AU
    Broadening and Deepening Elective(s) / Second Major course(s)
    3/4 AU each
    For Business Analytics Track (BA)
    BE1402 - Business Operations and Processes3 AU
    BU8601 - Fundamentals of Management3 AU

    Year 2 Semester 2

    PS0002 - Introduction to Data Science and Artificial Intelligence3 AU
    CC0007 - Science & Technology for Humanity3 AU
    Track Prescribed Elective(s)4 AU each
    Broadening and Deepening Elective(s) / Second Major course(s)
    3/4 AU each
    For Pure Mathematics Track (PMAS)
    MH2220 - Algebra I3 AU
    MH3100 - Real Analysis I4 AU
    MH3110 - Ordinary Differential Equations4 AU
    For Applied Mathematics Track (AMAS)
    MH3100 - Real Analysis I4 AU
    MH3110 - Ordinary Differential Equations4 AU
    MH3701 - Basic Optimization4 AU
    For Statistics Track (STAT)
    MH3100 - Real Analysis I4 AU
    MH3110 - Ordinary Differential Equations4 AU
    MH3500 - Statistics4 AU
    For Business Analytics Track (BA)
    MH3500 - Statistics4 AU
    MH3511 - Data Analysis with Computer3 AU

    Year 3 Semester 1

    HW0218 - Communication Across the Sciences2 AU
    Track Prescribed Elective(s)4 AU each
    Broadening and Deepening Elective(s) / Second Major course(s)3/4 AU each
    For Pure Mathematics Track (PMAS)
    MH3101 - Complex Analysis4 AU
    For Statistics Track (STAT)
    MH3510 - Regression Analysis4 AU

    Year 3 Semester 2

    Track Prescribed Elective(s)4 AU each
    Broadening and Deepening Elective(s) / Second Major course(s)3/4 AU each
    For Applied Mathematics Track (AMAS)
    MH3700 - Numerical Analysis I3 AU

    Year 4 Semester 1

    MH4912 - Professional Internship
    Students are not allowed to read courses during the semester-long Professional Internship (PI). Students who wish to do both FYP and PI should plan to do PI prior to their FYP in Year 4.
    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

    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 - Algebra II4 AUSem 1
    MH3210 - Number Theory
    4 AUSem 1
    MH3400 - Algorithms for the Real World
    4 AUSem 2
    MH3520 - Mathematics of Deep Learning
    4 AUSem 1
    MH3600 - Topology and Manifolds
    4 AUSem 2
    MH4100 - Real Analysis II
    4 AUSem 2
    MH4200 - Abstract Algebra II4 AUSem 2
    MH4300 - Combinatorics4 AUSem 1
    MH4301 - Set Theory and Logic4 AUSem 1 or 2
    MH4302 - Theory of Computing4 AUSem 1 or 2
    MH4310 - Coding Theory4 AUSem 2
    MH4311 - Cryptography4 AUSem 1
    MH4600 - Algebraic Topology4 AUSem 2
    MH4601 - Differential Geometry4 AUSem 2
    MH7002 - Discrete Methods4 AUSem 2
    MH4900 - Final Year Project8 AUSem 1 & 2
    MH4910, MH4911, MH492x, MH493x
    (subject to division approval)
    4 AU 

    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 I3 AUSem 1
    MH3101 - Complex Analysis4 AUSem 1
    MH3300 - Graph Theory4 AUSem 1
    MH3400 - Algorithms for the Real World4 AUSem 2
    MH3401 - Signal and Noise in Biology3 AUSem 2
    MH3512 - Stochastic Processes4 AUSem 1
    MH3520 - Mathematics of Deep Learning
    4 AUSem 1
    MH3600 - Topology and Manifolds4 AUSem 2
    MH4110 - Partial Differential Equations4 AUSem 2
    MH4302 - Theory of Computing4 AUSem 1 or 2
    MH4310 - Coding Theory4 AUSem 2
    MH4311 - Cryptography4 AUSem 1
    MH4320 - Computational Economics4 AUSem 1
    MH4514 - Financial Mathematics4 AUSem 2
    MH4517 - Data Applications in Natural Sciences4 AUSem 2
    MH4518 - Simulation Techniques in Finance4 AU 
    MH4519 - Financial Econometrics4 AUSem 2
    MH4700 - Numerical Analysis II4 AUSem 1
    MH4701 - Mathematical Programming4 AUSem 1
    MH4702 - Probabilistic Methods in OR4 AUSem 1
    MH7002 - Discrete Methods4 AUSem 1
    SC2001 - Algorithm Design and Analysis3 AU 
    SC4001 - Neural Network and Deep Learning3 AU 
    EE4476 - Image Processing3 AU 
    MH4900 - Final Year Project8 AUSem 1 & 2
    MH4910, MH4911, MH492x, MH493x
    (subject to division approval)
    4 AU 

    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 I3 AUSem 2
    MH3400 - Algorithms for the Real World4 AUSem 2
    MH3401 - Signal and Noise in Biology3 AUSem 2
    MH3512 - Stochastic Processes4 AUSem 1
    MH3520 - Mathematics of Deep Learning
    4 AUSem 1
    MH3701 - Basic Optimization4 AUSem 2
    MH4302 - Theory of Computing4 AUSem 1 or 2
    MH4320 - Computational Economics4 AUSem 1
    MH4500 - Time Series Analysis4 AUSem 2
    MH4501 - Multivariate Analysis4 AUSem 2
    MH4510 - Statistical Learning and Data Mining4 AUSem 1
    MH4511 - Sampling & Survey4 AUSem 1
    MH4512 - Clinical Trials4 AUSem 2
    MH4513 - Survival Analysis4 AUSem 1
    MH4514 - Financial Mathematics4 AUSem 2
    MH4515 - Applied Bayesian Statistics4 AU 
    MH4516 - Applied Categorical Data Analysis4 AU 
    MH4517 - Data Applications in Natural Sciences4 AUSem 2
    MH4518 - Simulation Techniques in Finance4 AU 
    MH4519 - Financial Econometrics4 AUSem 2
    MH4701 - Mathematical Programming4 AUSem 1
    MH4702 - Probabilistic Methods in OR4 AUSem 1
    BA2202 – Mathematics of Finance4 AUSem 1
    BA3202 – Actuarial Statistics4 AUSem 1
    HE3022 – Econometric Modeling and Forecasting3 AUSem 2
    HE4021 – Advanced Econometrics4 AUSem 2
    MH4900 - Final Year Project8 AUSem 1 & 2
    MH4910, MH4911, MH492x, MH493x
    (subject to division approval)
    4 AU

    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 Databases4 AU
    BT2404 - Services Operations Management3 AU
    BC3410 - Financial Service Processes and Analytics3 AU
    List B2
    MH3110 - Ordinary Differential Equations4 AU
    MH3400 - Algorithms for the Real World4 AU
    MH3510 - Regression Analysis
    4 AU
    MH3520 - Mathematics of Deep Learning
    4 AU
    MH3700 - Numerical Analysis I3 AU
    MH3701 - Basic Optimization4 AU
    MH4320 - Computational Economics4 AU
    MH4500 - Time Series Analysis4 AU
    MH4501 - Multivariate Analysis4 AU
    MH4510 - Statistical Learning and Data Mining4 AU
    MH4513 - Survival Analysis4 AU
    MH4517 - Data Applications in Natural Sciences4 AU
    MH4518 - Simulation Techniques in Finance4 AU
    MH4519 - Financial Econometrics4 AU
    MH4700 - Numerical Analysis II4 AU
    MH4701 - Mathematical Programming4 AU
    MH4702 - Probabilistic Methods in OR4 AU
    SC2207 - Introduction to Databases3 AU
    SC4000 - Machine Learning3 AU
    SC4021 - Information Retrieval3 AU
    MH4900 - Final Year Project8 AU
    MH4910, MH4911, MH492x, MH493x
    (subject to approval by division)
    4 AU

    Second Major Courses

    Required Second Major Courses

    ET5211 - Entrepreneurial Mindset and Technology Innovation
    3 AU
    ET5212 - Entrepreneurial Ecosystems 
    3 AU
    ET5213 - Managing New Venture
    3 AU
    ET5214 - Financing Entrepreneurial Ventures
    3 AU

    Course details can be found here.

    Second Major Electives

    Choose at least 13 AU from the following list. Course details can be found here.

    ET5134 - Enterprise Strategy3 AU
    ET5122 - E-Startups & Social Media Strategies
    3 AU
    BU8503 - Innovation Marketing3 AU
    BU5302 - Law of Intellectual Property & New Media3 AU
    ET5135 - Business Venture Implementation3 AU
    ET5215 - Entrepreneurial Business Development3 AU
    ET5216 - Venture Capital Investment and Practices4 AU
    ET5217 - Design and Systems Thinking for Entrepreneurs 4 AU
    ET5218 - Innovation and Commercialization of Technologies3 AU
    AB0603 - Social Entrepreneurship3 AU

     

     

    Special Broadening and Deepening Electives

    The following courses are offered specially to MAS students, to be read as Broadening and Deepening Electives.

    MH5000 - Mathematical Problem-Solving2 AUSem 1
    MH5100 - Advanced Investigations in Calculus I 1 AUSem 1
    MH5101 - Advanced Investigations in Calculus II1 AUSem 2
    MH5200 - Advanced Investigations in Linear Algebra I1 AUSem 1
    MH5201 - Advanced Investigations in Linear Algebra II1 AUSem 2