The Department of Mathematics (Cryptology and Statistics option)

The Department of Mathematics (Cryptology and Statistics option) emphasizes data analysis, encryption, and mathematical modeling.
Curriculum

Programme Outline

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Year 1

1st Semester
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Melbourne, Australia
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  1. Foundations of Mathematics
  2. Calculus I (Differentiation and Integration)
  3. Introduction to Probability
  4. Mathematical Logic
  5. Real Analysis I
  6. Foundations in Entrepreneurship I
  7. General English I
  8. Introduction to Information Communication Technology

2nd Semester
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Melbourne, Australia
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We’re looking for someone motivated and experienced to join our team.
  1. Calculus II (Multivariable and Vector Calculus)
  2. Linear Algebra
  3. Sampling Techniques
  4. General Topology
  5. Number Theory
  6. Foundations in Entrepreneurship II
  7. General English II
  8. Differential Equations

Year 2

1st Semester
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Melbourne, Australia
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We’re looking for someone motivated and experienced to join our team.
  1. Abstract Algebra
  2. Numerical Methods
  3. Actuarial Mathematics
  4. Advanced Linear Algebra
  5. Introduction to Cryptology
  6. Introduction to Statistics
  7. General English I
  8. Data Analysis I
  9. Computational Tools for Math

2nd Semester
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Melbourne, Australia
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We’re looking for someone motivated and experienced to join our team.
  1. Discrete Mathematics
  2. Time Series Analysis
  3. Statistical Inference I
  4. Cryptanalysis
  5. Statistical Inference II
  6. Hash Functions and Message Authentication
  7. Data Analysis II
  8. Advanced Computational Tools
  9. Internship/Industrial Attachment

Year 3

1st Semester
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Melbourne, Australia
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We’re looking for someone motivated and experienced to join our team.
  1. Regression Analysis
  2. Cryptographic Algorithms
  3. Number Theory for Statistics
  4. Number Theory for Cryptography
  5. Statistical Computing
  6. Complex Analysis
  7. Fourier Analysis and Applications
  8. Real Analysis II
  9. Seminar

2nd Semester
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Melbourne, Australia
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We’re looking for someone motivated and experienced to join our team.
  1. Mathematical Modeling
  2. Advanced Probability
  3. Cryptographic Protocols
  4. Non-parametric Statistics
  5. Secure Programming
  6. Big Data Analytics
  7. Mathematics for Machine Learning
  8. Capstone Project

Programme Summary
study level
Bachelor of Science
study duration
3 years, Full-time
mode of study
The flipped classroom learning approach
tuition per session
$1350
tuition per semester
$675
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