Master of Applied Statistics

North Ryde - Sydney

 

INTAKE: Jul & Feb

Program Overview

The Master of Applied Statistics program at Macquarie University is tailored to provide students with a comprehensive understanding of statistical principles, data analysis techniques, and statistical modeling. This program offers a diverse curriculum that equips graduates with the knowledge and practical skills necessary to excel in various fields that require strong statistical expertise.

Curriculum: Macquarie University's Master of Applied Statistics program features a comprehensive curriculum covering core areas such as statistical theory, data analysis, experimental design, and advanced statistical modeling. Students gain a solid foundation in the principles and practices of statistics.

Research Focus: The program places a strong emphasis on research, allowing students to engage in projects and coursework that foster critical thinking and problem-solving skills in the context of statistical challenges.

Industry Engagement: Macquarie University is deeply committed to industry engagement. Students have opportunities for practical training, internships, and industry partnerships, enabling them to gain real-world experience in statistical analysis and data-driven decision-making.

Global Perspective: With a diverse student body and faculty from around the world, Macquarie University provides a global perspective on statistics and data analysis. Students benefit from exposure to diverse statistical methodologies and real-world insights into global data-driven practices.

Pollster Education

Location

North Ryde - Sydney

Pollster Education

Score

IELTS 6.5

Pollster Education

Tuition Fee

AUD 44500

Postgraduate Entry Requirements:

Academic Qualifications: Applicants are generally required to hold a bachelor's degree or its equivalent from a recognized institution. The minimum academic achievement for postgraduate admission is typically 65% or above, as evaluated by the university.

English Language Proficiency:

  • IELTS: An overall score of 6.5 or 7, with no individual band score lower than 6.0.
  • TOEFL: An overall score of 100, with at least 12 in listening, 13 in reading, 21 in writing, and 18 in speaking.
  • PTE: An overall score of 65, with a minimum of 46 in all communicative skills.

Students must provide:

  • academic marksheets & transcripts
  • letters of recommendation
  • a personal statement - SOP
  • passport
  • other supporting documents as required by the university.

Work experience: Some postgraduate courses may require relevant work experience in the field.

It's important to note that entry requirements can vary by program and may change over time. Additionally, some programs may have additional requirements, such as interviews, portfolios, or work experience.

Macquarie University is committed to providing opportunities to support students with their educational journey through various scholarship programs. These scholarships are designed to help students achieve their academic goals and alleviate financial stress.

  1. Vice-Chancellor's International Scholarship: This scholarship is offered to international students who are pursuing an undergraduate or postgraduate degree at Macquarie University. The scholarship covers full tuition fees for the course duration and is awarded based on academic merit.
  2. Macquarie University International Scholarship: This scholarship is available to international students who are pursuing an undergraduate or postgraduate degree at Macquarie University. The scholarship covers a portion of the tuition fees, ranging from AUD 5,000 to AUD 10,000 per year, depending on the course and level of study.
  3. Destination Australia Scholarship: This scholarship is offered to domestic and international students who are studying in regional Australia. The scholarship covers a portion of the tuition fees and provides a living allowance of AUD 15,000 per year.
  4. Indigenous Scholarship Program: This scholarship program is designed to support Indigenous Australian students who are pursuing an undergraduate or postgraduate degree at Macquarie University. The scholarship covers full tuition fees and provides additional support such as accommodation and living allowances.
  5. Merit Scholarship: This scholarship is offered to students who have demonstrated outstanding academic performance in their previous studies. The scholarship covers a portion of the tuition fees and is available to both domestic and international students.
  6. Women in Leadership Scholarship: This scholarship is designed to support female students who are pursuing a postgraduate degree in a leadership-related field. The scholarship covers full tuition fees and provides additional support such as mentoring and networking opportunities.

Graduates of Macquarie University's Master of Applied Statistics program are well-prepared for a variety of career opportunities in the field of statistics, data analysis, and decision science. 

  1. Statistical Analyst: Graduates can work as statistical analysts, conducting data analysis and modeling for organizations in various industries, including finance, healthcare, marketing, and research.

  2. Data Scientist: Those with a strong data analysis focus can become data scientists, using their statistical skills to extract insights and patterns from large datasets to inform business decisions.

  3. Research Statistician: Graduates can pursue roles as research statisticians, working in academia or research institutions to design experiments, analyze data, and contribute to scientific discoveries.

  4. Quantitative Analyst (Quant): Those interested in finance can become quants, using statistical models and quantitative techniques to develop trading strategies and manage financial risk.

  5. Biostatistician: Graduates can specialize in biostatistics, working in healthcare and pharmaceutical industries to analyze clinical trial data and support medical research.

  6. Consultant: Some graduates may choose to become statistical consultants, providing expertise to organizations on statistical methodologies, survey design, and data collection.


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