GD111 - Graduate Diploma in Analytics

Plan: GD111P12 - Graduate Diploma in Analytics
Campus: City Campus

Program delivery and structure

Approach to learning and assessment
Work integrated learning
Program structure
Program transition plan

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Approach to learning and assessment

The teaching approach in this program is designed to foster your development as an independent learner so that you will be able to extend your capabilities once you graduate. The teaching method includes lectorial, seminar, tutorial, workshop, practical and laboratory sessions, site visits and the provision of online materials. You will be expected to complete all prescribed out-of-class learning activities in preparation for scheduled face-to-face and online classes and encouraged to extend your learning through additional recommended readings and online activities. Of particular importance is the time spent in practice, laboratory based and work integrated learning activities that will develop your employability skills and capabilities. 

Several courses in the program are delivered online, rather than on-campus, and you are likely to find that other courses transition to online delivery as you progress through the program. All courses use Canvas for electronic provision of course material, tutorial problems and/or other relevant documents.   

Assessments in this program are designed to give you the opportunity to demonstrate your capabilities. Various forms of assessment will be used throughout the program since the assessment you undertake will be appropriate to the objectives and student learning outcomes for each course.  Assessment may include class tests, quizzes, essays/reports, oral class presentations, group projects, research projects, laboratory projects, practical assignments, timed assessment.  

If you have a long-term medical condition, disability and/or other form of disadvantage, it may be possible to negotiate to vary aspects of the learning or assessment methods. You can contact the program coordinator or the Equitable Learning Service if you would like to find out more.

If you have already developed areas of skill and knowledge included in this program (for example, through prior studies or work experience), you can apply for credit once you have enrolled in this program. There is information on the RMIT University website about how to apply for Recognition of Prior Learning (RPL) – refer to: www.rmit.edu.au/students/enrolment/credit/he

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Work integrated learning

RMIT University is committed to providing you with an education that strongly links formal learning with professional or vocational practice. As a student enrolled in this RMIT University program you will: 

• undertake and be assessed on structured activities that allow you to learn, apply and demonstrate your professional or vocational practice
• interact with industry and community when undertaking these activities
• complete these activities in real work contexts or situations.

These interactions and the work context provide a distinctive source of feedback to you to assist your learning. Any or all of these aspects of a WIL experience may be in a simulated workplace environment.

In MATH2349 Data Preprocessing you will develop and apply your data preprocessing skills to complex, noisy, and inconsistent real world data using leading open source software.

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Program Structure

To graduate you must complete the following: All courses may not be available each semester.
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Year One of Program
Complete the following Three (3) Courses:
Course Title Credit Points Course Code Campus Applied Analytics 12 MATH1324 City Campus Database Concepts 12 ISYS1055 City Campus Data Wrangling 12 MATH2349 City Campus
AND
Select and Complete Two (2) of the following Courses:
Course Title Credit Points Course Code Campus Essential Mathematics 12 MATH2267 City Campus Data Visualisation and Communication 12 MATH2270 City Campus Machine Learning 12 MATH2319 City Campus Time Series Analysis 12 MATH1318 City Campus
AND
Select and Complete One (1) of the following Courses:
Course Title Credit Points Course Code Campus Optimisation for Decision Making 12 MATH2468 City Campus Applied Bayesian Statistics 12 MATH2269 City Campus Analysis of Categorical Data 12 MATH1298 City Campus Design and Analysis of Experiments 12 MATH1302 City Campus Forecasting 12 MATH1307 City Campus Multivariate Analysis Techniques 12 MATH1309 City Campus Regression Analysis 12 MATH1312 City Campus Statistical Inference 12 MATH1315 City Campus Statistics of Quality Control and Performance Analysis 12 MATH1316 City Campus Stochastic Processes and Applications 12 MATH1317 City Campus Game Theory and its Applications 12 MATH1320 City Campus Advanced Optimisation 12 MATH1326 City Campus Questionnaire and Research Design 12 MATH2218 City Campus Systems Simulation 12 MATH2219 City Campus System Dynamics 12 MATH2220 City Campus Sports Analytics 12 MATH2223 City Campus Introduction to Statistical Computing 12 MATH1322 City Campus
AND
Select and Complete Two (2) of the following Courses:
Course Title Credit Points Course Code Campus Accounting for Management Decisions 12 ACCT2127 City Campus Corporate Finance 12 BAFI1059 City Campus Fixed Income Securities and Credit Analysis 12 BAFI1065 City Campus Financial Decision Making 12 BAFI1100 City Campus Options, Futures and Risk Management 12 BAFI2081 City Campus Scripting Language Programming 12 COSC1092 City Campus Artificial Intelligence 12 COSC1125 City Campus Intelligent Web Systems 12 COSC1165 City Campus Programming Techniques 12 COSC1283 City Campus Algorithms and Analysis 12 COSC1285 City Campus Advanced Programming 12 COSC1295 City Campus Data Mining 12 COSC2111 City Campus Advanced Programming Techniques 12 COSC2207 City Campus Database Systems 12 COSC2407 City Campus Programming Fundamentals 12 COSC2531 City Campus Big Data Management 12 COSC2636 City Campus Big Data Processing 12 COSC2637 City Campus Case Studies in Data Science 12 COSC2669 City Campus Practical Data Science with Python 12 COSC2670 City Campus Social Media and Networks Analytics 12 COSC2671 City Campus Quantitative Methods in Finance 12 ECON1095 City Campus Economic Analysis for Business 12 ECON1113 City Campus Financial Econometrics 12 ECON1195 City Campus GIS Fundamentals 12 GEOM1159 City Campus GIS Principles 12 GEOM1163 City Campus Advanced GIS 12 GEOM2151 City Campus GIS Analytics 12 GEOM2152 City Campus Digital Risk Management and Information Security 12 INTE1002 City Campus Digital Strategy 12 INTE1030 City Campus Business Intelligence 12 INTE1040 City Campus Introduction to Information Security 12 INTE1120 City Campus Case Studies in Cyber Security 12 INTE1122 City Campus Information Theory for Secure Communications 12 INTE1128 City Campus e Procurement and Supply Chain Technologies 12 INTE1208 City Campus e Business Models and Issues 12 INTE1214 City Campus Information Systems Risk Management 12 INTE2396 City Campus Decision Support Systems 12 ISYS1018 City Campus Knowledge and Data Warehousing 12 ISYS1072 City Campus Managing Semi-structured and Unstructured Data 12 ISYS1078 City Campus Globalization and Business IT 12 ISYS2394 City Campus Business Systems Analysis and Design 12 ISYS2395 City Campus Intelligent Enterprise Systems 12 ISYS2396 City Campus Risk Management and Feasibility 12 MANU1051 City Campus Engineering Economic Strategy 12 MANU1054 City Campus Planning and Control 12 MANU1378 City Campus Sustainable Engineering Systems and Environment 12 MANU1381 City Campus Measurement and Improvement 12 MANU1474 City Campus Project Management 12 MANU2123 City Campus Optimisation for Decision Making 12 MATH1293 City Campus Applied Bayesian Statistics 12 MATH2269 City Campus Analysis of Categorical Data 12 MATH1298 City Campus Design and Analysis of Experiments 12 MATH1302 City Campus Forecasting 12 MATH1307 City Campus Multivariate Analysis Techniques 12 MATH1309 City Campus Regression Analysis 12 MATH1312 City Campus Statistical Inference 12 MATH1315 City Campus Statistics of Quality Control and Performance Analysis 12 MATH1316 City Campus Stochastic Processes and Applications 12 MATH1317 City Campus Game Theory and its Applications 12 MATH1320 City Campus Advanced Optimisation 12 MATH1326 City Campus Questionnaire and Research Design 12 MATH2218 City Campus Systems Simulation 12 MATH2219 City Campus System Dynamics 12 MATH2220 City Campus Sports Analytics 12 MATH2223 City Campus Introduction to Statistical Computing 12 MATH1322 City Campus Marketing Management 12 MKTG1100 City Campus Consumer Behaviour 12 MKTG1101 City Campus Interactive Marketing 12 MKTG1105 City Campus Services Marketing 12 MKTG1112 City Campus Business and Network Marketing 12 MKTG1209 City Campus Supply Chain Principles 12 OMGT1021 City Campus Supply Chain Modelling & Design 12 OMGT2087 City Campus Supply Chain Sustainability 12 OMGT2190 City Campus Strategic Operations and Supply Chain Management 12 OMGT2191 City Campus e Business Supply Chains 12 OMGT1236 City Campus Distribution and Freight Logistics 12 OMGT1012 City Campus
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Program transition plan

Semester 1, 2024 Transition Plan 

Minor amendments have been made to your program effective semester 1, 2024. These amendments do not impact your enrolment or completion of the program. 

Details of amendment: 

1) MATH1326 has had a title change with no change to content: 

• Old title: Advanced Optimisation with Python
• New title: Advanced Optimisation 

2) Optimisation for Decision Making has a new course code with no change to title or content: 

• Old code: MATH1293 
• New code: MATH2468 

3) ECON1238 Econometric Techniques removed from the Option list. If you’ve already completed this course, credit achieved will count towards completion of your program. 

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