Master of Commerce (Extension)
The University of New South Wales (UNSW), located in Sydney, Australia, offers a Master...
Kensington - Sydney
INTAKE: Feb, May & Sep
The Master of Statistics program at UNSW is renowned for its rigorous curriculum and world-class faculty. It aims to produce graduates who are not only proficient in statistical theory and methods but also capable of applying their statistical expertise to real-world problems and decision-making.
Curriculum: The program's curriculum covers a wide range of topics in statistics, including statistical theory, data analysis, probability, and mathematical statistics. Students are also exposed to cutting-edge statistical software and tools, ensuring that they can perform data analysis and statistical modeling effectively. This comprehensive curriculum is designed to prepare graduates for diverse statistical roles.
Research Focus: Research is a central component of UNSW's Master of Statistics program. Students are encouraged to engage in research projects that allow them to apply statistical methods to real-world problems. These projects often involve collaboration with industry partners and provide valuable hands-on experience in statistical research.
Industry Engagement: UNSW recognizes the importance of practical experience in the field of statistics. The program collaborates with industry partners, government agencies, and research organizations to offer students opportunities for internships, data analysis projects, and exposure to real-world statistical challenges. This industry engagement ensures that graduates are well-prepared for careers in various sectors.
Global Perspective: A global perspective is integrated into UNSW's Master of Statistics program. Students are encouraged to consider statistical challenges within a global context and explore how statistics can address complex global issues. Graduates are prepared to work on international projects and contribute to data-driven solutions on a global scale.
Kensington - Sydney
IELTS 6.5
AUD 45475
Postgraduate Entry Requirements:
Academic Qualifications: A minimum of 65% or above in the applicant's previous academic qualifications, such as a bachelor's degree or equivalent.
English Language Proficiency:
Students must provide:
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.
UNSW offers a variety of scholarships to attract and assist international students.
Merit-Based Scholarships: UNSW offers merit-based scholarships to international students with exceptional academic achievements. These scholarships recognize academic excellence and provide financial support to cover tuition fees or living expenses.
Country-Specific Scholarships: Some scholarships are tailored for students from specific countries or regions. These scholarships aim to promote diversity and cultural exchange among international students.
Research Scholarships: UNSW provides research scholarships for international students pursuing postgraduate research degrees (e.g., Ph.D.). These scholarships often include a stipend to support research expenses and living costs.
Faculty/Program Scholarships: Certain faculties or academic programs at UNSW offer scholarships to attract outstanding international students interested in specific fields of study. These scholarships may cover tuition fees or provide research opportunities.
Sports and Arts Scholarships: UNSW acknowledges the talents and achievements of international students in sports and the arts. Scholarships in these categories may be available to support students with exceptional abilities.
Upon completing the Master of Statistics program at UNSW, graduates have access to a wide range of career opportunities in various industries and sectors.
Statistical Analyst: Graduates can work as statistical analysts, using their expertise to analyze data, draw insights, and make data-driven recommendations in fields such as finance, healthcare, marketing, and social sciences.
Data Scientist: Graduates may pursue careers as data scientists, applying advanced statistical techniques and machine learning to extract valuable insights from large datasets and support decision-making.
Research Statistician: Graduates can work as research statisticians, contributing to research projects in academia, government, or private research organizations, and helping researchers design experiments and analyze data.
Biostatistician: Graduates with an interest in health and life sciences can specialize as biostatisticians, working on clinical trials, epidemiological studies, and healthcare research.
Quantitative Analyst (Quant): Graduates interested in finance can pursue roles as quants, using statistical models and quantitative analysis to inform investment decisions and risk management.
Consultant: Graduates can work as statistical consultants, offering their expertise to businesses, government agencies, and organizations seeking to improve their data analysis and decision-making processes.