MC267 - Master of Data Science

PROGRAM REQUIREMENTS   
  
You must complete a total of 192 credit points as follows:    

– Eight (8) Core Courses  
– One (1) First Year Compulsory Option  
– Three (3) Second Year Compulsory Options 
– Three (3) Data Science Options OR three (3) courses from Research Option 1 stream OR four (4) courses from Research Option 2 stream

ENROLMENT LOAD    
  
Full-time study load is 48 credit points or Four (4) courses equivalent each semester.    
Part-time study load is 24 credit points, or Two (2) course equivalent each semester.    
  
COURSE REQUISITES    
  
You are required to successfully complete relevant prerequisites in the program in order to progress to the next stage of your studies. Please ensure that you have met the necessary prerequisites by checking course guides.    
  
PROGRAM TRANSITION    
  
Your program may be subject to program transition. Please ensure you carefully read the program transition plan as outlined in the program handbook to understand how this may impact your progression.    
  
CONTACT STEM COLLEGE    
  
For any enquiries, please visit STEM College Student Lifecycle for contact information and support.    
  
– Program and course advice and planning    
– Flexible semester courses    
– Enrolment variation    
– Credit transfer applications and Recognition of prior learning    
– Results, program completion and graduation  

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Year One of Program

Recommended Sequence of Courses

As not all courses run every semester, the following is the recommended sequence of courses for full-time students (without any advanced standing) commencing in Semester 1:

Project Stream:

S1 2024 (1st sem of program)

• COSC2531 Programming Fundamentals
• ISYS1055 Database Concepts
• COSC2670 Practical Data Science
• COSC2792 The Data Science Professional

S2 2024 (2nd sem of program)

• COSC2820 Advanced Programming for Data Science
• MATH2349 Data Wrangling
• COSC2669 Data Science Case Studies
• Program Option (PO)

S1 2025 (3rd sem of program)

• MATH2270 Data Visualization
• MATH1324 Applied Analytics
• Program Option (PO)
• Program Option (PO)

S2 2025 (4th sem of program)

• COSC2667 Data Science Postgraduate Project (24 CPs)
• COSC2637 Big Data Processing
• Program Option (PO)

Note: one of your chosen Program Options (PO) must be a machine learning course. This means you have to complete at least one of the following: (i) COSC21111 Data Mining (only runs in S2); or (ii) COSC2793 Computational Machine Learning (only runs in S1, and requires COSC1285 Algorithms and Analysis as a pre-requisite); or (iii) MATH2319 Machine Learning (only runs in S1).

 

Research Stream:

S1 2024 (1st sem of program)

• COSC2531 Programming Fundamentals
• COSC2670 Practical Data Science
• ISYS1055 Database Concepts
• COSC2792 The Data Science Professional

S2 2024 (2nd sem of program)

• COSC2820 Advanced Programming for Data Science
• MATH2349 Data Wrangling
• COSC2669 Data Science Case Studies
• COSC1285 Algorithms and Analysis

S1 2025 (3rd sem of program)

• MATH2270 Data Visualization
• MATH1324 Applied Analytics
• COSC2149 Research Methods
• COSC2793 Computational Machine Learning

S2 2025 (4th sem of program)

• COSC2637 Big Data Processing
• COSC2179 Minor Thesis

If you started the program midyear, please refer to the Study Plan section of the MC267 Program Canvas Shell for recommended sequence.

Please ensure that you have met necessary prerequisites by checking course guides - click YES in the Preqs/Coreqs column.

Complete the following Seven (7) Courses:

Select and Complete One (1) of the following Courses:

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Year Two of Program

Select and Complete One (1) of the following Courses:

Select and Complete Two (2) of the following Courses that you have not previously completed:

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Year Two of Program - Program and Research Options

Note: Data Science Program Option course 'MATH1293 Optimisation for Decision Making' course code has now changed to MATH2468. To enrol into Optimisation for Decision Making, please enrol into MATH2468

Program Option: Complete the following One (1) Course:

Select and Complete Three (3) Courses from Data Science Program Option Courses:

Research Option 1: Complete the following Three (3) Courses:

Research Option 2: Complete the following Four (4) Courses:

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