Master of Data Science draft

Program Overview

The program emphasizes statistical and machine-learning foundations, large data management, and innovative data analysis technologies. Graduates are prepared for careers as data scientists and analysts in various sectors, including resources, finance, and commerce. The program offers hands-on experience, industry partnerships, and a capstone project for practical application of data science skills.

Program Outline

Degree Overview:

The Master of Data Science program at the University of Western Australia equips students with the knowledge and skills to transform data into intelligence and become sought-after experts in the rapidly expanding field of data science. The program aims to provide students with the ability to:

• Deal effectively with large data-management tasks.
• Master the statistical and machine-learning foundations on which data analytics is built.
• Evaluate and communicate the effectiveness of new technologies.
Students will also acquire essential skills in high-performance computing. The program is ideal for graduates with a background in engineering and IT or students from other areas who wish to pursue a career in this exciting field.

Outline:

The Master of Data Science program is a postgraduate coursework degree that comprises a number of units. The program structure includes:

• Conversion Units (up to 24 points): These units are required for students who have completed degree studies in a non-cognate area.
• CITS1401 Computational Thinking with Python (6 points)
• CITS1402 Relational Database Management Systems (6 points)
• STAT2401 Analysis of Experiments (6 points)
• STAT2402 Analysis of Observations (6 points)
• Core Units (48 points): These units are mandatory for all students.
• CITS4009 Computational Data Analysis (6 points)
• CITS4012 Natural Language Processing (6 points)
• CITS4407 Open Source Tools and Scripting (6 points)
• CITS5504 Data Warehousing (6 points)
• CITS5508 Machine Learning (6 points)
• CITS5553 Data Science Capstone Project (6 points)
• STAT4064 Applied Predictive Modelling (6 points)
• STAT4066 Bayesian Computing and Statistics (6 points)
• Option - Group A Units (24 points): Students must take units to the value of 24 points from this group, including a minimum of 12 points at Level 5.
• BUSN5003 Data Storytelling (6 points)
• CITS4402 Computer Vision (6 points)
• CITS4403 Computational Modelling (6 points)
• CITS4404 Artificial Intelligence and Adaptive Systems (6 points)
• CITS4419 Mobile and Wireless Computing (6 points)
• CITS5014 Data Science Research Project Part 1 (6 points)
• CITS5015 Data Science Research Project Part 2 (6 points)
• CITS5017 Deep Learning (6 points)
• CITS5503 Cloud Computing (6 points)
• CITS5505 Agile Web Development (6 points)
• CITS5506 The Internet of Things (6 points)
• CITS5507 High Performance Computing (6 points)
• ECON5570 Health Analytics (6 points)
• GENG5505 Project Management and Engineering Practice (6 points)
• INMT5526 Business Intelligence (6 points)
• MGMT5504 Data Analysis and Decision Making (6 points)
• PUBH4401 Biostatistics I (6 points)
• PUBH5769 Biostatistics II (6 points)
• PUBH5785 Analysis of Linked Health Data (6 points)
• PUBH5802 Advanced Analysis of Linked Health Data (6 points)
• STAT4063 Computationally Intensive Methods in Statistics (6 points)
• STAT4065 Multilevel and Mixed-Effects Modelling (6 points)
• STAT5061 Statistical Data Science (6 points)

Careers:

The Master of Data Science program prepares students for a career as a data scientist or data analyst and in roles such as:

• Analyst
• Business Intelligence Analyst
• Management Consultant
• Market Research Analyst
• Statistician
Graduates will be able to find employment in a large range of companies and organizations across the resources, finance, commerce, and utility sectors.
• Students will have opportunities to network with future employers and industry partners through the UWA Data Science Student Club and Perth Machine Learning Community.
• Students will gain hands-on experience working on real-world data sets and projects.
• The program offers streamlined units in Business, Population Health, Artificial Intelligence, Systems, and Statistics.
• The Data Science Capstone Project provides a unique experience where students can integrate and apply their skills to a substantial real-world data science project.
• Selected students will be able to further develop and demonstrate their research and implementation skills through the individual research project.
• The University of Western Australia is ranked 1st in WA for Computer Science and Information Systems (QS 2023).
• Students have access to EZONE UWA, a world-class innovation and technological hub for engineering and mathematical science students.
• Students can join various student clubs, such as the UWA Data Science Club, Computer Science Student's Club, Coders for Causes, Ethical Hackers Group, and UWA Programming Competition Society (PCS).