Computational Data Science - COMPZ13959
Stream Summary
Faculty: ENG - Faculty of Engineering
School: School of Computer Science and Engineering
Contact: The School of Computer Science and Engineering
Program: 3959 - Data Science and Decisions
Award(s):
Bachelor of Data Science and Decisions (Major)
View stream information for previous years
Stream Outline
Computational Data Science is the study of methods for organising, modelling and analysing large and complex data relevant for businesses, governments or other organisations. The information gleaned from the data analysis is intended to improve business decisions and inform policies.
The Computational Data Science major enables a student to specialise further in computational data methods.
The Computational Data Science major enables a student to specialise further in computational data methods.
Stream Structure
CORE COURSES
Level 1
- COMP1511 Introduction to Programming (6 UOC)
- MATH1081 Discrete Mathematics (6 UOC)
- MATH1131 Mathematics 1A (6 UOC)
Level 2
Level 3
ELECTIVE COURSES
Students must take 18UOC from the following list:
- ACTL3141 Actuarial Models & Statistics (6 UOC)
- ACTL3142 Actuarial Data and Analysis (6 UOC)
- COMP3411 Artificial Intelligence (6 UOC)
- COMP4121 Advanced & Parallel Algorithms (6 UOC)
- COMP4418 Knowledge Representation (6 UOC)
- COMP6714 Info Retrieval and Web Search (6 UOC)
- COMP6771 Advanced C++ Programming (6 UOC)
- COMP6841 Extended Security Engineering (6 UOC)
- COMP9315 Database Systems Implementat'n (6 UOC)
- COMP9318 Data Warehousing & Data Mining (6 UOC)
- COMP9319 Web Data Compression & Search (6 UOC)
- COMP9418 Advanced Machine Learning (6 UOC)
- ECON1102 Macroeconomics 1 (6 UOC)
- ECON2101 Microeconomics 2 (6 UOC)
- ECON2104 Applied Macroeconomics (6 UOC)
- ECON2111 Intro to Economic Development (6 UOC)
- ECON2206 Introductory Econometrics (6 UOC)
- ECON2209 Business Forecasting (6 UOC)
- ECON3107 Economics of Finance (6 UOC)
- ECON3123 Organisational Economics (6 UOC)
- ECON3130 Real Estate Economics (6 UOC)
- ECON3206 Financial Econometrics (6 UOC)
- ECON3208 Applied Econometric Methods (6 UOC)
- INFS1602 Digital Transformation in Bus (6 UOC)
- INFS3603 Intro to Business Analytics (6 UOC)
- MARK1012 Marketing Fundamentals (6 UOC)
- MARK3054 Marketing Analytics (6 UOC)
- MARK3085 Digital Mktg & Web Analytics (6 UOC)
- MATH2011 Several Variable Calculus (6 UOC)
- MATH2111 Higher Several Variable Calc (6 UOC)
- MATH2831 Linear Models (6 UOC)
- MATH2871 Data Manag't for Stat Analysis (6 UOC)
- MATH2931 Higher Linear Models (6 UOC)
- MATH3041 Mathematical Modelling (6 UOC)
- MATH3161 Optimization (6 UOC)
- MATH3411 Information, Codes and Ciphers (6 UOC)
- MATH3821 Stat Modelling & Computing (6 UOC)
- MATH3871 Bayesian Inference and Comp (6 UOC)
- MATH5836 Data Mining (6 UOC)
Note
- Students enrolled in program 3959 will complete MATH1131/1141, MATH1231/1241, and COMP1511 as part of the core requirement for their program.
- Most of the elective courses have prerequisite requirements. These requirements may be completed by courses from the core or by other courses from the elective list.
