Master of Statistics Specialisation in Mathematics Research

1 Years On Campus Masters Program

University of New South Wales

Program Overview

The Master of Statistics with a Specialisation in Mathematics Research at the University of New South Wales (UNSW) is designed for students who are passionate about applying statistical methods to solve real-world problems. This program is ideal for those looking to deepen their understanding of statistical theory and its applications, preparing them for advanced research or professional roles in various industries.

 

Curriculum Structure:

Year 1: Advanced Stochastic Processes, Statistical Inference, and a range of mathematics and statistics electives, allowing students to develop advanced skills in statistical theory, probability, mathematical modelling and data analysis.

Year 1.7: Students complete further mathematics/statistics electives and a supervised Mathematics Research Project, developing research, analytical and problem-solving skills for advanced study or professional practice. 

Focus Areas: Data Analysis, Statistical Modelling, Research Methodologies

Learning Outcomes: Advanced statistical reasoning, proficiency in statistical software, ability to conduct independent research

Professional Alignment (Accreditation): The program is accredited by the Statistical Society of Australia, ensuring that it meets high educational standards and industry relevance.

Reputation (Employability Rankings): UNSW consistently ranks among the top universities globally, with strong employability rankings in the QS World University Rankings and the Guardian University Guide, reflecting the high demand for its graduates in the job market.

 

Experiential Learning (Research, Projects, Internships etc.)

At the University of New South Wales (UNSW), the Master of Statistics with a Specialisation in Mathematics Research offers students a unique opportunity to gain practical skills that are essential for a successful career in statistics and data analysis. The program emphasizes experiential learning, allowing students to engage in real-world projects, collaborate with peers, and utilize state-of-the-art facilities and tools. This hands-on approach not only enhances theoretical knowledge but also prepares students for the challenges they will face in their professional lives.

 

Here are some key aspects of the experiential learning opportunities available in this program:

- Access to Advanced Software: Students will work with industry-standard statistical software such as R, Python, and SAS, which are crucial for data analysis and research.

- Collaborative Group Projects: The program encourages teamwork through group projects, where students can apply their statistical knowledge to solve complex problems, fostering collaboration and communication skills.

- Internship Opportunities: UNSW has strong connections with various industries, providing students with internship opportunities that allow them to gain practical experience and network with professionals in the field.

- Research Laboratories: Students have access to dedicated research labs equipped with the latest technology, enabling them to conduct experiments and analyze data effectively.

- Field Trips and Industry Visits: The program includes field trips to organizations and companies, giving students insights into how statistics is applied in various sectors.

- Library and Research Resources: UNSW boasts extensive library facilities and online resources, including access to academic journals and databases that support research and learning.

- Collaboration with Research Institutes: Students can engage with renowned research institutes affiliated with UNSW, providing opportunities for mentorship and involvement in cutting-edge research projects.

 

Progression & Future Opportunities

The Master of Statistics Specialisation in Mathematics Research at the University of New South Wales (UNSW) equips graduates with the analytical skills and statistical knowledge needed to excel in various industries. Graduates often find themselves in roles such as Data Scientist, Statistician, Quantitative Analyst, and Research Consultant. The demand for skilled professionals in these areas continues to grow, making this program a valuable investment in your future:

 

- University Services: UNSW offers dedicated career services, including resume workshops, interview preparation, and networking events with industry leaders to help you secure employment.
- Employment Stats and Salary Figures: According to recent data, over 90% of UNSW graduates find employment within four months of graduation, with starting salaries averaging around AUD 80,000 per year for statistics-related roles.
- University–Industry Partnerships: UNSW has strong connections with leading organizations such as the Australian Bureau of Statistics and various tech companies, providing students with opportunities for internships and collaborative projects.
- Long-term Accreditation Value: The program is accredited by the Statistical Society of Australia, ensuring that your qualification is recognized and respected in the industry.
- Graduation Outcomes: Graduates from this program are well-prepared for advanced roles in data analysis, research, and policy-making, with many going on to influence decision-making in their respective fields.

Further Academic Progression: After completing the Master of Statistics Specialisation in Mathematics Research, you may choose to pursue a PhD in Statistics or a related field. This path allows you to engage in advanced research, contribute to academic knowledge, and open doors to teaching positions at universities or high-level research roles in industry. Additionally, you could explore post-graduate certificates or diplomas in specialized areas of statistics or data science to further enhance your expertise.

 

Program Key Stats

$60,500
$6,000
$150

Febr Intake : 1st NovJuly Intake : 30th Apr


No

Eligibility Criteria

NA

NA
NA
NA
6.5
90
NA

Additional Information & Requirements

Country Requirements

Career Options

  • Statistician
  • Data Scientist
  • Biostatistician
  • Quantitative Analyst
  • Data Analyst
  • Research Scientist
  • Risk Analyst
  • Financial Analyst
  • Statistical Consultant
  • Mathematics Researcher

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