Statistics

The Bachelor of Statistics program at the Royal Melbourne Institute of Technology (RMIT) offers students a comprehensive education in the core principles and applications of statistics. Designed to equip graduates with the analytical skills necessary to interpret data and inform decision-making across diverse industries, this program combines theoretical foundations with practical experiences. Students gain expertise in data collection, statistical modeling, probability theory, and computational techniques, preparing them for roles in sectors such as government, finance, healthcare, marketing, and technology. The curriculum incorporates both classroom learning and hands-on projects, allowing students to work with real-world data sets and develop critical thinking skills essential for modern data analysis. Through this program, students also explore topics like regression analysis, statistical inference, design of experiments, and predictive modeling, all within a framework that emphasizes ethical practice and effective communication of findings. RMIT’s strong industry connections ensure opportunities for internships, industry projects, and networking events, providing students with valuable industry exposure. Graduates of the Bachelor of Statistics are well-equipped to pursue careers as data analysts, statisticians, data scientists, or further their education with postgraduate studies. Emphasizing innovation, technical proficiency, and ethical responsibility, this program prepares students to meet the growing demand for quantitative expertise in a data-driven world.

Year 1

You'll study the basics of calculus, statistics, discrete mathematics, mathematical programming and professional practice.

Years 2 and 3

You’ll learn about the mathematical foundations of statistics together with the numerous areas of application. It is at this stage that you choose your specialisation.

You will select eight courses from dozens of different electives in these specialisations to customise your studies for particular learning outcomes.

Examples of available electives are:

• Data Visualisation
• Forecasting
• Mathematical Modelling
• Modelling with Differential Equations
• Sampling and Quality Control
• Scientific Computing
• Sports Statistics
• Business Finance
• Financial Markets
• Marketing Communication
• Nonlinear Optimisation
• Prices and Markets
• System Dynamic Modelling

You must have successfully completed an Australian Year 12 (or equivalent senior secondary school qualification) with a minimum 65% average (check calculator below).

Equivalent qualifications may also include completion of the RMIT Foundation Studies program or a recognised post secondary diploma in the relevant discipline with the required grades.

Meeting the minimum academic requirements does not guarantee entry. Your application will still need to be assessed and accepted. 

Higher Mathematics; or VCE Units 3 and 4 in Mathematical Methods (CAS) or Specialist Mathematics, with a study score of at least 20.

Selection tasks

None

English language requirements

To study this program you will need to complete one of the following English proficiency tests:

• IELTS (Academic): minimum overall band of 6.5 (with no individual band below 6.0)
• TOEFL (Paper Based Test): minimum score of 580 (TWE 4.5)
• TOEFL (Internet Based Test - IBT): minimum overall score of 92 (with minimum of 20 in all sections)
• Pearson Test of English (Academic) (PTE (A)): minimum score of 58 (with no communication band less than 50)
• Cambridge English: Advanced (CAE): minimum of 176 with no less than 169 in any component.

The Bachelor's degree in Statistics at the Royal Melbourne Institute of Technology (RMIT) offers various financing options to support students throughout their studies. International students are typically required to pay tuition fees that cover access to state-of-the-art facilities, academic resources, and comprehensive coursework. These fees are payable per semester and may vary depending on the specific program and year of study. RMIT provides several payment plans, allowing students to pay in installments to ease financial burden. Additionally, students can access external scholarships and grants offered by government agencies, private organizations, and industry partners. For domestic students, options like government study loans or external bursaries may be available, subject to eligibility. RMIT also offers financial aid counseling services to help students explore suitable funding avenues and manage their finances effectively. The university's financial policies are designed to ensure transparency, flexibility, and support for students from diverse economic backgrounds. Students are encouraged to review the detailed fee schedule and funding opportunities on the RMIT official website to plan their finances accordingly. Furthermore, RMIT occasionally hosts information sessions on scholarships, work-study programs, and financial management tailored for current and prospective students. Overall, the financing studies at RMIT's Statistics program aim to make higher education accessible and affordable while maintaining high academic standards.

The Bachelor of Science in Statistics at RMIT University offers students a comprehensive foundation in statistical theory, methods, and applications. This program is designed to equip graduates with essential skills to analyze data, interpret results, and make informed decisions across various industries such as healthcare, finance, government, and technology. The curriculum combines theoretical coursework with practical experience, emphasizing data collection, management, and analysis techniques. Students will learn to use industry-standard software tools, including R, SAS, and Python, to manipulate and visualize data effectively.

Throughout the program, students are encouraged to develop critical thinking and problem-solving abilities, applying statistical concepts to real-world scenarios. The program typically spans three years of full-time study, with options for part-time or online learning modes to accommodate diverse student needs. In addition to core coursework, students may have opportunities to engage in internships, industry projects, and research collaborations, gaining valuable hands-on experience and professional networks.

The program aims to prepare graduates for employment in areas such as data analysis, actuarial sciences, market research, and academic research. Graduates will be well-positioned for careers that require advanced quantitative skills and data-driven decision-making. The university's strong industry connections and focus on practical skills ensure that students are prepared to meet the evolving demands of the data analysis field.

Career support services at RMIT provide guidance on job placement, further education opportunities, and professional development workshops. The university also offers a vibrant learning community with access to laboratories, seminars, and student organizations, fostering collaboration and continuous learning. Upon completion of the program, students will hold a globally recognized qualification that opens doors to diverse career pathways in today's data-centric world.