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Bachelor of Decision Analytics
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PROGRAM OVERVIEW
The Bachelor of Decision Analytics (BDA) is an applied program that prepares graduates to use data, analytical models, artificial intelligence, and digital tools to support high-quality organisational decision-making. The program integrates quantitative analysis, behavioural insights, machine learning applications, and digital strategy within a business context.Graduates will be able to translate data into actionable insights, optimise business processes, evaluate risks, and apply ethical and responsible AI-enabled solutions across diverse industries.
DURATION
3 years full-time or 6 years part-time
APPLICATION DATE
Refer to key dates
DELIVERY SITE
On campus:
Sydney:
Eveleigh NSW 2015;
Perth:
Lot 131, 131 Harold Street, Highgate, Western Australia 6003; 350-354 Albany Highway, Victoria Park, WA 6100
ENTRY REQUIREMENTS
Domestic Students: Please refer to Undergraduate Admission Requirements
International Students: Please refer to Overseas Qualification Recognition
COURSE STRUCTURE
All units are weighted at six credit points. Completing 144 credit points, equal to 24 units, is required to qualify for the Bachelor of Sustainable Finance and FinTech award.
TECO103 Economics for Decision Making
TMGT01 Principles of Management
TACC101 Financial Accounting Principles
TSTA101 Quantitative Methods
TADI101 Introduction to Digital Transformation
TTEC101 Data Analytics Fundamentals
TTEC201Business Systems and Digital Business Strategies
TDAS01 Introduction to Database
TDAS201 Data-Driven Decision Making
TTEC202 Business Intelligence & Data Visualisation
TTEC203 AI Applications in Organisations
TDAS203 Predictive Analytics & Forecasting
TCYS207 Cyber Risk and Security for Digital Systems
TADI201 Digital Consumer Insights & Behaviour Analytics
TTEC205 Process and Systems Analysis
TDAS202 Applied Programming for Data Analytics
TADI301 Digital Strategy and Innovation Leadership
TTEC309 Machine Learning Applications for Decision Analytics
TTEC310 Responsible and Ethical AI in Business
TDAS301 Big Data Systems & Cloud Analytics
TDAS302 Advanced Decision Analytics
TDAS304 Applied Decision Modelling & Optimisation
TDAS303 Data Mining & Knowledge Discovery
TCAP302 Decision Analytics Capstone Project
FURTHER COURSE DETAILS
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Recognition of Prior Learning (RPL) is available and will be assessed in accordance with IMC’s RPL policy and procedure. Please refer to the Application for Recognition of Prior Learning and the RPL policy and procedure for further details.
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Assessment methods are designed to encourage learning, provide feedback and measure achievement of unit learning outcomes. Forms of assessment vary among units and include research reports, projects, essays, group work, presentations, problem solving and case studies as well as tests, quizzes and examinations. Students may be required to complete assessment tasks alone or in groups to encourage development of generic skills. Assessments generally require a written submission but may include an oral presentation. In capstone units, assessments may include industry engagement and an extensive report.
IMC’s Bachelor of Accounting and Data Assurance prepares graduates for positions in accounting and consulting firms, technology firms, public and private sector organisations and non-government entities. Depending upon specialisation, specific roles include accountant, auditor, financial analyst, data analyst, data security specialist, and management consulting (data-related).
FURTHER LEARNING
Further and more specialised learning is available in postgraduate courses, including:
- MBA (Business Analytics)
- MBA (Digital Business Applications)
- MBA (FinTech Management)
- Master of Applied Financial Technology and Blockchain
