Monash University
2 years part-time (or 1.4 years for Entry Level 2 with Graduate Certificate)
Master advanced analytics skills to design and deliver data-driven solutions using programming, machine learning, and AI tools. Ideal for professionals seeking senior analyst, data scientist, or specialist roles across any industry.
Applicants must hold an Australian bachelor degree in a relevant discipline (Analytics, Business Statistics, Econometrics, Mathematics, Business) with at least a credit (60%) average, or an equivalent qualification with 60% average plus two years relevant work experience. All applicants must have successfully completed a first-year undergraduate statistics unit or provide evidence of equivalent qualifications, training, or experience. English language requirements and minimum university entrance requirements apply. Comfort with technology is beneficial but prior coding experience is not required.
Part A (Core Studies): Data exploration, visualisation, and information design using SQL and R; Quantitative analysis and data modelling with Excel and statistical methods; Data reporting, presentation and dashboards using Power BI; Enterprise analytics covering business intelligence and data-driven decision-making. Part B (Discipline Studies): Collaborative and reproducible practices for team-based data analysis; Introduction to Python programming fundamentals; Machine learning and data analytics covering supervised and unsupervised learning algorithms; Predictive analytics in business using SQL and SAS. Part C (Elective Studies): Four elective units at Level 4 or 5 allowing specialisation in advanced techniques, sector-specific applications, or complementary disciplines.
Monash University is ranked #3 globally and #1 nationally in Shanghai Ranking Global Ranking of Academic Subjects 2025. The Business and Economics programs rank #9 globally. Monash Online offers maximum flexibility with six intakes per year and 100% online delivery, allowing students to balance studies with full-time work. The program features expert teaching staff, live weekly Zoom classes with academics and industry experts, personalised feedback, dedicated learning advisers, and comprehensive student support including 1:1 coaching and access to Monash's digital library.
Graduates pursue senior and specialist data roles across industries. Career outcomes include Data Analyst (typical salary $105,000, +23.2% growth), Analytics Manager (typical salary $145,000, +17.7% growth), Business Analyst (typical salary $115,000, +23.2% growth), and Insights Manager (typical salary $153,000, +17.7% growth). Analytics skills are needed across finance, health, retail, operations, HR, and nearly every sector. As automation handles routine tasks, the ability to ask good questions of data and interpret insights becomes increasingly valuable.
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