Master of Data Science
The program starts with Data Science foundations in semester one, followed by an introduction to key data analytics concepts and techniques in semester two. The final year is dedicated to applications and advanced techniques (customer analytics, text mining, time series analysis, neural networks, Bayesian networks). You will finish your degree with a professional project, getting practical experience in modern data science techniques.
Course name |
Cat. # |
Unit |
SP2 |
SP5 |
Lecturer |
Program Structure | |||||
Core Courses | |||||
Big Data Concepts | INFS 4020 | 4.5 | ✓ | ✓ | Dr. Jing Gao |
Problem Solving in the Digital Age |
COMP 5076 | 4.5 | ✓ | ✓ | Dr. Gun Lee |
Business Practices for IT Professionals | INFS 5058 | 4.5 | ✓ | ✓ |
Dr Sameera Mubarak
|
Statistics for Data Science | MATH 4044 | 4.5 | ✓ | ✓ | Dr Khoa / Dr Malgorzata |
IMPORTANT! Students with the option of an elective instead of a course above can only be approved with the Program Director. Electives should be chosen so that they best complement current knowledge and work experience. If in doubt, the Program Director will help you choose the best combination of electives for your current background.
Course name |
Cat. # |
Unit |
SP2 |
SP5 |
Lecturer |
Directed Elective Courses | |||||
Advanced Business Intelligence and Analytics | INFS 5135 | 4.5 | ✓ | ✓ | Dr. Jan Stanek |
Analytics for Decision Making |
INFS 3075 | 4.5 | ✓ | Dr Josh Coppin | |
Probabilities and Data | MATH 4043 | 4.5 | ✓ | ✓ | Dr. Gerald Cheang |
Risk Management and Governance or Security Principles |
INFS 3083 INFS 5115 |
4.5 | ✓ | ✓ | Mr. Stephen Hindle |
Semester 2 - Analytic Techniques | |||||
Statistical Programming for Data Science | COMP 5070 | 4.5 | ✓ | ✓ | Dr. Timofei |
Data Wrangling and Social Media Analytics | INFS 5144 | 4.5 | ✓ | ✓ | As.Pr. Thuc Le |
Directed Elective | X | 4.5 | ✓ | ✓ | See above |
Data Visualisation | INFS 5116 | 4.5 | ✓ | ✓ | Dr. Malgorzata Korolkiewicz |
Semester 3 - Applications | Code | Units | SP2 | SP5 | Lecturer |
Predictive Analytics | INFS 5100 | 4.5 | ✓ | ✓ | Dr Srecko / Dr Andrew Zamecnik |
Unsupervised Methods in Analytics |
INFS 5102 | 4.5 | ✓ | |
Prof Lin Liu |
Advanced Databases, Warehouses and The Cloud |
INFS 5143 | 4.5 | ✓ | ✓ |
Dr Jixue Liu / Ken Cen |
Masters Research Theory and Practice |
ENGG 5020 | 4.5 | ✓ | ✓ |
Dr Dario / Dr Li / Dr Gerald Cheng |
Semester 4 - Advanced Applications | Code | Units | SP2 | SP5 | Lecturer |
Advanced Analytic Techniques | MATH 5045 | 4.5 | ✓ | Dr. Thuc Le | |
Customer Analytics in Large Organisations |
INFS 5145 | 4.5 | ✓ | Dr Timofei | |
Capstone Professional Project | INFT 5021 | 4.5 | ✓ | ✓ |
Masud |
Technology and Programming Languages Covered: