At a glance
24 mo
Duration
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IELTS
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Tuition / yr
en
Language
Master's
Level
- Ranked #3 globally in Shanghai Ranking Global Ranking of Academic Subjects 2025.World Reputation
- Globally recognized Business and Economics programs, ranked #9 globally.Globally Recognised Programs
- 100% Online with six intakes per year.Maximum Flexibility
- Graduate in as little as 2 years part-time.Duration
- 12 units of study.Units
- Build real programming skills in Python and R.Key Skills
The Master of Analytics is a 100% online degree designed for individuals aiming to work with data and utilize AI tools to address complex business and organizational challenges. This program equips you with essential modern analytics skills, including programming, statistical modeling, machine learning, and data visualization, while integrating AI throughout the analytical process. Through 12 units, you will build a strong technical foundation in data analysis and then select four electives to specialize in areas aligned with your career aspirations. You will learn to collect, prepare, analyze datasets, and transform data into actionable insights for evidence-based decision-making. This degree is suitable for analysts seeking to enhance their skills, technical professionals formalizing their experience, or individuals transitioning into analytics from other fields. Upon completion, you will be capable of designing, building, and explaining analytics solutions from end to end, incorporating AI-enabled workflows. This program offers a comprehensive and advanced approach to analytics, fostering the technical depth and breadth required for more senior or specialized data roles.
Curriculum
The Master of Analytics is structured into three parts: Core Studies, Discipline Studies, and Elective Studies. The course runs in six-week teaching periods with a two-week break in between. You'll take one accelerated unit per teaching period, requiring 20-24 hours of study per week, with fixed assessment deadlines. You can take a break between teaching periods if needed. Units are divided into modules with readings, videos, interactive activities, and assessments. Teaching staff provide guidance, run live classes, and offer feedback. Weekly live Zoom classes allow engagement with academics, experts, and peers.
- Part A: Core Studies
- Data exploration, visualisation, and information design
- Quantitative analysis and data modelling
- Data reporting, presentation and dashboards
- Enterprise analytics
- Part B: Discipline Studies
- Collaborative and reproducible practices
- Introduction to Python
- Machine learning and data analytics
- Predictive analytics in business
- Part C: Elective Studies
- Elective unit 1
- Elective unit 2
- Elective unit 3
- Elective unit 4
Careers
This degree prepares you for senior and specialist roles in the field of analytics. It develops both the technical depth and the judgement required to handle complex analytics work from start to finish. The program focuses on equipping you to design, develop, and deliver analytics solutions, and to communicate methods and findings effectively to diverse audiences.
- Lead Analyst
- Data Scientist
- Specialist Data Roles
Entry requirements
Australian bachelor degree in a relevant discipline (Analytics, Business statistics, Econometrics, Mathematics and Business) or equivalentMinimum credit (60%) average or equivalent GPA
Australian bachelor degree or equivalentMinimum credit (60%) average or equivalent GPA plus at least two years of relevant work experience (requires detailed CV)
Monash University Graduate Certificate of AnalyticsMinimum credit (60%) average (for 48-point completion)
Not specifiedNot specified
Applicants must have successfully completed a first-year undergraduate statistics unit, or provide equivalent qualifications, training, or experience as deemed acceptable by the faculty. Minimum university entrance requirements also apply.
Fees
Tuition (international)Not specified. Domestic fee estimated at $4,750.00 per unit.
Tuition (home)Estimated $4,750.00 per unit. Fees are subject to annual change.
LivingNot specified
Domestic students may be eligible for FEE-HELP, a government loan scheme to cover tuition fees.
How to apply
1. Submit your applicationUse the 'Apply Now' link provided on the program page to submit your application online.
2. Provide required documentationEnsure you have all necessary documents ready, including academic transcripts, CV (if applying based on work experience), and any other supporting qualifications.
3. Meet entry requirementsEnsure you meet the academic and English language requirements for the program. A prerequisite of a first-year undergraduate statistics unit is also required, or equivalent evidence.
4. Contact Course Consultants if neededIf you require clarification on entry requirements, fees, or the application process, reach out to the Course Consultants via the 'Contact Us' page and schedule a call.
Scholarships
Monash ScholarshipsUp to $280,000 in value across over 360 types.
Accreditation
Not specified