Data Science and Decisions - Electives

ELECTIVES FOR QUANTITATIVE DATA SCIENCE

Students must take 24 UOC of the following courses:

•   ECON1102 - Macroeconomics 1 (6 UOC)

•   INFS1602 - Information Systems in Business (6 UOC)

•   MARK1012 - Marketing Fundamentals (6 UOC)

•   ECON2101 - Microeconomics 2 (6 UOC)

•   ECON2206 - Introductory Econometrics (6 UOC)

•   ECON2209 - Business Forecasting (6 UOC)

•   ECON2104 - Applied Macroeconomics (6 UOC)

•   ECON2111 - Introduction to Economic Development (6 UOC)

•   ACTL3141 - Actuarial Models and Statistics (6 UOC)

•   ACTL3142 - Actuarial Data and Analysis (6 UOC)

•   ECON3208 - Applied Econometric Methods (6 UOC)

•   ECON3107 - Economics of Finance (6 UOC)

•   ECON3123 - Organisational Economics (6 UOC)

•   ECON3130 - Real Estate Economics and Public Policy (6 UOC)

•   ECON3206 - Financial Econometrics (6 UOC)

•   INFS3603 - Business Intelligence (6 UOC)

•   MARK3054 - Marketing Analytics and Big Data (6 UOC)

•   MARK3085 - Digital Marketing and Web Analytics (6 UOC)

•   COMP6771 - Advanced C++ Programming (6 UOC)

•   COMP9315 - Database Systems Implementation (6 UOC)

•   COMP2041 - Software Construction: Techniques and Tools (6 UOC)

•   COMP2911 - Engineering Design in Computing (6 UOC)

•   COMP3121 - Algorithms and Programming Techniques (6 UOC)

•   COMP9313 - Big Data Management (6 UOC)

•   COMP9417 - Machine Learning and Data Mining (6 UOC)

•   COMP3411 - Artificial Intelligence (6 UOC)

•   COMP3441 - Security Engineering (6 UOC)

•   COMP4418 - Knowledge Representation and Reasoning (6 UOC)

•   COMP9319 - Web Data Compression and Search (6 UOC)

•   COMP4121 - Advanced and Parallel Algorithms (6 UOC)

•   COMP9418 - Advanced Topics in Statistical Machine Learning (6 UOC)

•   MATH1081 - Discrete Mathematics (6 UOC)

•   MATH2011 - Several Variable Calculus (6 UOC)

•   MATH2111 - Higher Several Variable Calculus (6 UOC)

•   MATH3041 - Mathematical Modelling for Real World Systems (6 UOC)

•   MATH3161 - Optimisation (6 UOC)

•   MATH3411 - Information, Codes and Ciphers (6 UOC)

•   MATH5836 - Data Mining and its Business Applications (6 UOC)

ELECTIVES FOR COMPUTATIONAL DATA SCIENCE

Students must take 12 UOC of the following courses:

•   ECON1102 - Macroeconomics 1 (6 UOC)

•   COMP6771 - Advanced C++ Programming (6 UOC)

•   ECON2101 - Microeconomics 2 (6 UOC)

•   ECON2206 - Introductory Econometrics (6 UOC)

•   ECON2209 - Business Forecasting (6 UOC)

•   ECON2104 - Applied Macroeconomics (6 UOC)

•   ECON2111 - Introduction to Economic Development (6 UOC)

•   MATH2011 - Several Variable Calculus (6 UOC)

•   MATH2111 - Higher Several Variable Calculus (6 UOC)

•   MATH2831 - Linear Models (6 UOC)

•   MATH2931 - Higher Linear Models (6 UOC)

•   MATH2871 - Data Management for Statistical Analysis (6 UOC)

•   INFS1602 - Information Systems in Business (6 UOC)

•   MARK1012 - Marketing Fundamentals (6 UOC)

•   SCIF2199 - Science Work Placement (6 UOC)

•   ACTL3141 - Actuarial Models and Statistics (6 UOC)

•   ACTL3142 - Actuarial Data and Analysis (6 UOC)

•   COMP3411 - Artificial Intelligence (6 UOC)

•   COMP3441 - Security Engineering (6 UOC)

•   COMP4418 - Knowledge Representation and Reasoning (6 UOC)

•   COMP9418 - Advanced Topics in Statistical Machine Learning (6 UOC)

•   COMP4121 - Advanced and Parallel Algorithms (6 UOC)

•   COMP6714 - Information Retrieval and Web Search (6 UOC)

•   COMP9315 - Database Systems Implementation (6 UOC)

•   COMP9318 - Data Warehousing and Data Mining (6 UOC)

•   COMP9319 - Web Data Compression and Search (6 UOC)

•   ECON3208 - Applied Econometric Methods (6 UOC)

•   ECON3107 - Economics of Finance (6 UOC)

•   ECON3123 - Organisational Economics (6 UOC)

•   ECON3130 - Real Estate Economics and Public Policy (6 UOC)

•   ECON3206 - Financial Econometrics (6 UOC)

•   INFS3603 - Business Intelligence (6 UOC)

•   MARK3054 - Marketing Analytics and Big Data (6 UOC)

•   MARK3085 - Digital Marketing and Web Analytics (6 UOC)

•   MATH3871 - Bayesian Inference and Computation (6 UOC)

•   MATH3041 - Mathematical Modelling for Real World Systems (6 UOC)

•   MATH3161 - Optimisation (6 UOC)

•   MATH3411 - Information, Codes and Ciphers (6 UOC)

•   MATH5836 - Data Mining and its Business Applications (6 UOC)

•   MATH3821 - Statistical Modelling and Computing (6 UOC)

ELECTIVES FOR BUSINESS DATA SCIENCE

Students must take 30 UOC of the following courses:

•   ECON1102 - Macroeconomics 1 (6 UOC)

•   MARK1012 - Marketing Fundamentals (6 UOC)

•   MATH1081 - Discrete Mathematics (6 UOC)

•   COMP2041 - Software Construction: Techniques and Tools (6 UOC)

•   ECON2101 - Microeconomics 2 (6 UOC)

•   ECON2104 - Applied Macroeconomics (6 UOC)

•   ECON2111 - Introduction to Economic Development (6 UOC)

•   MATH2011 - Several Variable Calculus (6 UOC)

•   MATH2871 - Data Management for Statistical Analysis (6 UOC)

•   ACTL3141 - Actuarial Models and Statistics (6 UOC)

•   ACTL3142 - Actuarial Data and Analysis (6 UOC)

•   COMP9313 - Big Data Management (6 UOC)

•   COMP9417 - Machine Learning and Data Mining (6 UOC)

•   ECON3107 - Economics of Finance (6 UOC)

•   ECON3130 - Real Estate Economics and Public Policy (6 UOC)

•   ECON3206 - Financial Econometrics (6 UOC)

•   INFS3603 - Business Intelligence (6 UOC)

•   MARK3054 - Marketing Analytics and Big Data (6 UOC)

•   MARK3085 - Digital Marketing and Web Analytics (6 UOC)

•   MATH3871 - Bayesian Inference and Computation (6 UOC)

Business School Elective Courses

Students must complete at least 18 UOC from Business School courses:

•   ACTL3141 - Actuarial Models and Statistics (6 UOC)

•   ACTL3142 - Actuarial Data and Analysis (6 UOC)

•   ECON1102 - Macroeconomics 1 (6 UOC)

•   ECON2101 - Microeconomics 2 (6 UOC)

•   ECON2104 - Applied Macroeconomics (6 UOC)

•   ECON2111 - Introduction to Economic Development (6 UOC)

•   ECON3107 - Economics of Finance (6 UOC)

•   ECON3130 - Real Estate Economics and Public Policy (6 UOC)

•   ECON3206 - Financial Econometrics (6 UOC)

•   INFS3603 - Business Intelligence (6 UOC)

•   MARK1012 - Marketing Fundamentals (6 UOC)

•   MARK3054 - Marketing Analytics and Big Data (6 UOC)

•   MARK3085 - Digital Marketing and Web Analytics (6 UOC)

Level 3 Prescribed Electives

Students must complete at least 18 UOC of Prescribed Electives at Level 3 or above:

•   ACTL3141 - Actuarial Models and Statistics (6 UOC)

•   ACTL3142 - Actuarial Data and Analysis (6 UOC)

•   COMP9313 - Big Data Management (6 UOC)

•   COMP9417 - Machine Learning and Data Mining (6 UOC)

•   ECON3107 - Economics of Finance (6 UOC)

•   ECON3130 - Real Estate Economics and Public Policy (6 UOC)

•   ECON3206 - Financial Econometrics (6 UOC)

•   INFS3603 - Business Intelligence (6 UOC)

•   MARK3054 - Marketing Analytics and Big Data (6 UOC)

•   MARK3085 - Digital Marketing and Web Analytics (6 UOC)

•   MATH3871 - Bayesian Inference and Computation (6 UOC)