Bachelor of Laws and BSc in Computing Mathematics

Why Should You Study this Programme

There is an increasing number of legal tasks in which a detailed knowledge of mathematics is a significant asset to lawyers. The law-math double degree programme therefore fills an important market need in the legal profession. The training provided by this double degree programme will bring additional mathematical knowledge to law students and equip them with critical skills in areas such as probability and statistics, quantitative analysis and formal logic that are becoming increasingly important in the legal world. The mathematical and computational skills that the graduates acquire in this double degree will give them an advantage in several legal fields.

Professional Recognition

The law component of this double degree covers the required legal units and entitles graduates who wish to practice law in Hong Kong to apply for a position in the Postgraduate Certificate in Laws (PCLL) programme which we offer at City University.

Admissions Requirement (JUPAS Applicants)

JUPAS Code: JS1220 (Intake Quota: around 9)

Minimum Level Required
HKDSE Core Subjects
English Language
Level 5
Chinese Language
Level 3
Mathematics
Level 3
Liberal Studies
Level 2
HKDSE Elective Subjects
Elective 1
Level 31
Elective 2
Level 32

1 any elective subject from "Mathematics Extended Modules 1 or 2"; "Physics"; "Chemistry"; and "Business, Accounting and Financial Studies (Accounting or Business Management)"
2 excluding Applied Learning subjects

Programme Duration and Tuition Fees

This is a 5-year full-time double degree programme with the fifth year being charged on a self-financing basis.

Programme Leader and Admission Tutor

Dr. Wei XIANG, Programme Leader and Admission Tutor; and
Prof. Michael TSIMPLIS, Programme Leader and Admission Tutor

Suggested Study Path

Year & Semester
Credits
Recommended Courses
Year 1
Semester A
3
GE1401 University English
3
MA1300 Enhanced Calculus and Linear Algebra I
3
LW2601 Hong Kong Legal System
3
LW2603A Law of Tort I
3
LW2604A Legal Research and Writing I
15
Semester B
3
GE2411 Legal English
3
MA1301 Enhanced Calculus and Linear Algebra II
3
College of Science Requirement*
3
LW2604B Legal Research and Writing II
3
LW2603B Law of Tort II
15
Summer
3
GE Course 1#
3
GE Course 2#
6
Year 2
Semester A
4
MA2503 Linear Algebra
4
MA2508 Multi-variable Calculus
3
CS1302 Introduction to Computer Programming
3
LW2602A Law of Contract I
3
LW3605A Constitutional Law
17
Semester B
3
MA2510 Probability and Statistics
3
MA3511 Ordinary Differential Equations
1
MA2507 Computing Mathematics Laboratory
3
LW2602B Law of Contract II
3
LW3608 Applied Legal Theory
3
LW3605B Administrative Law
16
Summer
3
GE Course 3#
3
GE Course 4#
6
Year 3
Semester A
3
MA2509 Discrete Mathematics
3
CS2360 Java Programming
3
LW3606A Criminal Law I
3
LW3607A Land Law I
3
LW3611 Private Law of the PRC
15
Semester B
3
MA3526 Analysis
3
CS2468 Data Structure and Data Management
3
LW3606B Criminal Law II
3
LW3610 Public Law of the PRC
3
LW3607B Land Law II
15
Year 4
Semester A
3
MA3518 Applied Statistics
3
MA3525 Elementary Numerical Methods
3
LW4630A Equity and Trusts I (PCLL pre-requisite course)
3
LW4656 Company Law I
3
LW4658 Commercial Law (PCLL pre-requisite course)
15
Semester B
3
MA3515 Introduction to Optimization
3
MA3517 Complex Analysis
3
LW4630B Equity and Trusts II (PCLL pre-requisite course)
3
LW4657 Company Law II
3
LW4616 Law of Evidence (PCLL pre-requisite course)
15
Year 5
(Self-financed)
Semester A
3
MA3512 Partial Differential Equations
3
3
GE Course 5#
9
Semester B
3
MA3514 Numerical Methods for Differential Equations
3
6
Total
150

Remarks:
# One of the GE courses must be GE1501 Chinese Civilisation – History and Philosophy for fulfilling the University requirements.
* Students are required to take one of the following courses to fulfil the College of Science Requirement
   PHY1201 General Physics I
   PHY1101 Introductory Classical Mechanics
   CHEM1101 Introduction to Chemistry
   CHEM1300 Principles of General Chemistry
   CHEM1200 Discovery in Biology

Course Code
Course Title
Level
Credit Units
MA3521
Introductory Mathematical Finance
B3
3
MA3523
Introduction to Abstract Algebra
B3
3
MA4523
Introduction to Finite Element Method
B4
3
MA4524
Elementary Number Theory and Applications
B4
3
MA4525
Combinatorial and Network Optimization
B4
3
MA4527
Computational Geometry
B4
3
MA4528
Introduction to Dynamical systems and Chaos
B4
3
MA4529
Mathematical Finance
B4
3
MA4530
Project
B4
6
MA4531
Partial Differential Equations II
B4
3
MA4533
Applied Mathematics Laboratory
B4
1
MA4534
Computer Graphics and Geometry
B4
3
MA4535
Applied Probability
B4
3
MA4537
Introduction to Actuarial Science
B4
3
MA4538
Numerical Partial Differential Equations
B4
3
MA4540
Modelling and Case Studies
B4
3
MA4542
Real Analysis
B4
3
MA4543
Introduction to Time Series and Forecasting
B4
3
MA4545
Applied Differential Geometry
B4
3
MA4546
Introduction to Stochastic Processes
B4
3
MA4547
Asymptotic Analysis
B4
3
MA4548
Abstract Algebra II
B4
3
MA4549
Sampling Survey Methods for Social and Market Research
B4
3
MA4550
A Mathematical Introduction to Machine Learning for Data Sciences
B4
3
MA4551
Introduction to Functional Analysis
B4
3
MA4552
Introduction to Differential Manifolds
B4
3
CS4486
Artificial Intelligence
B4
3
CS4487
Machine Learning
B4
3

 

Remarks: new programme (pending approval)

Last update: 26 Aug 2021