Data Science and Engineering - COMPSS5543

Stream Summary

Faculty: ENG - Faculty of Engineering

School: School of Computer Science and Engineering

Program: 5543 - Information Technology

Award(s):

Graduate Diploma (Specialisation)

Stream Outline

The world is currently awash with massive volumes of data (Big Data) generated from all sectors of society including business, government, health, transport, web, and social networks (Facebook, Twitter). Data science and engineering has become the driving force behind critical decisions for all organizations by turning massive volumes of data into actionable information and knowledge. Data professionals with the skill set to comprehend, process and manage big data efficiently and effectively are already highly demanded. A recent Mckinsey Global Institute report forecasts a serious shortage of data science and engineering professionals in the near future.

Stream Structure

This specialisation requires the completion of 5 courses:

Select at least 1 course from each of the three areas below.
Select at least 2 courses from two of the areas below.

Database and Data Mining

COMP9313 Big Data Management (6 UOC)
COMP9315 Database Systems Implementat'n (6 UOC)
COMP9318 Data Warehousing & Data Mining (6 UOC)
COMP9319 Web Data Compression & Search (6 UOC)

Machine Learning, Information Retrieval, and Knowledge Representation

COMP4418 Knowledge Representation (6 UOC)
COMP6714 Info Retrieval and Web Search (6 UOC)
COMP9417 Machine Learning & Data Mining (6 UOC)
COMP9444 Neural Networks (6 UOC)

Algorithm and Statistics

COMP4141 Theory of Computation (6 UOC)
COMP6741 Parameterized & Exact Comp. (6 UOC)
MATH5845 Time Series (6 UOC)
MATH5855 Multivariate Analysis (6 UOC)
MATH5905 Statistical Inference (6 UOC)
MATH5960 Bayesian Inference & Comput'n (6 UOC)