Data Science and Engineering - COMPSS8543
Stream Summary
Faculty: Faculty of Engineering
School: School of Computer Science and Engineering
Contact: School
Program: 8543 - Information Technology
Award(s):
Master of Information Technology (Specialisation)
View stream information for previous years
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 networking (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 2018.
Entry Requirement
Students entering the program should have a solid background in computing and mathematics and good analytical skills.
Entry Requirement
Students entering the program should have a solid background in computing and mathematics and good analytical skills.
Stream Structure
Students must complete 96 UOC in total, including:
- COMP9021 Principles of Programming (6 UOC)
- COMP9024 Data Structures & Algorithms (6 UOC)
- COMP9311 Database Systems (6 UOC)
- COMP9331 Computer Networks&Applications (6 UOC)
- COMP9900 Info Tech Project (6 UOC)
- GSOE9820 Project Management (6 UOC)
- at least 30 UOC from the Stream Electives (see below)
- up to 30 UOC of level-4 or higher COMP elective courses
Stream Electives:
Students must:
Students must:
- Select at least 5 courses from the three areas below
- Select at least 1 course from each of the three areas below.
- For two of the three areas below, select at least 2 courses.
Databases & Data Mining:
Machine Learning, Information Retrieval, Knowledge Representation:
Algorithms 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)
Advanced Disciplinary Knowledge (ADK) requirement:
- at least 6 of the courses must come from the CSE ADK course list (see below)
Up to 2 of the non-ADK, non-prescribed elective courses can be replaced by level-4 or higher non-CSE courses.
COMP9900 is not required if a major research project course (COMP9596 or COMP9945) is taken.
Students must complete at least 36 UOC from the Advanced Disciplinary Knowledge Courses:
COMP9900 is not required if a major research project course (COMP9596 or COMP9945) is taken.
Students must complete at least 36 UOC from the Advanced Disciplinary Knowledge Courses:
- COMP3431 Robotic Software Architecture (6 UOC)
- COMP4121 Advanced & Parallel Algorithms (6 UOC)
- COMP4161 Advanced Verification (6 UOC)
- COMP4411 Experimental Robotics ( UOC)
- COMP4418 Knowledge Representation (6 UOC)
- COMP6714 Info Retrieval and Web Search (6 UOC)
- COMP9153 Algorithmic Verification (6 UOC)
- COMP9181 Language-based Software Safety (6 UOC)
- COMP9242 Advanced Operating Systems (6 UOC)
- COMP9243 Distributed Systems (6 UOC)
- COMP9315 Database Systems Implementat'n (6 UOC)
- COMP9318 Data Warehousing & Data Mining (6 UOC)
- COMP9319 Web Data Compression & Search (6 UOC)
- COMP9323 e-Enterprise Project (6 UOC)
- COMP9333 Advanced Computer Networks (6 UOC)
- COMP9334 Systems Capacity Planning (6 UOC)
- COMP9335 Wireless Mesh&Sensor Networks ( UOC)
- COMP9336 Mobile Data Networking (6 UOC)
- COMP9417 Machine Learning & Data Mining (6 UOC)
- COMP9418 Advanced Machine Learning (6 UOC)
- COMP9441 Security Engineering ( UOC)
- COMP9444 Neural Networks, Deep Learning (6 UOC)
- COMP9517 Computer Vision (6 UOC)
- COMP9596 Research Project (12 UOC)
- COMP9945 Research Project (18 UOC)
Project Option
Students are permitted to substitute 12-18uoc of Advanced Disciplinary Knowledge courses in their final semester with a research project of equal value provided they meet the following criteria:
Students are permitted to substitute 12-18uoc of Advanced Disciplinary Knowledge courses in their final semester with a research project of equal value provided they meet the following criteria:
- completed (or have advanced standing in) 72uoc; and
- obtained agreement from a CSE academic supervisor; and
- maintained a distinction level performance in the program.
Project courses:
- COMP9596 Research Project (12 UOC)
- COMP9945 Research Project (18 UOC)
Students who take a research project course will be exempted from COMP9900 - Information Technology Project.
Advanced Standing
Advanced standing is possible in up to 50% of the stream. Students wishing to apply for Advanced standing should consult the CSE Postgraduate Advanced Standing, Exemption, Substitution website.
Advanced Standing
Advanced standing is possible in up to 50% of the stream. Students wishing to apply for Advanced standing should consult the CSE Postgraduate Advanced Standing, Exemption, Substitution website.
