Master of Professional Engineering (Electrical)
The Master of Professional Engineering (Electrical) program at QUT is designed to provi...
Gardens Point
INTAKE: February
Queensland University of Technology (QUT) is a prominent Australian university known for its commitment to research, innovation, and industry partnerships. The Bachelor of Mathematics (Statistical Science) program at QUT is designed for students passionate about applying mathematical and statistical methods to analyze data, solve real-world problems, and make informed decisions. It provides a solid foundation in statistical theory, computational techniques, and data analysis, preparing graduates for careers in diverse industries.
Curriculum: The curriculum of the Bachelor of Mathematics (Statistical Science) program at QUT covers core areas such as probability theory, statistical modeling, data visualization, machine learning, and computational statistics. Students gain hands-on experience with statistical software and programming languages used in data analysis. Elective courses allow students to specialize in areas such as biostatistics, econometrics, environmental statistics, or business analytics, depending on their career interests.
Research Focus: QUT emphasizes research excellence in statistical science, offering students opportunities to engage in applied and theoretical research projects. Research areas include predictive modeling, data mining, Bayesian statistics, spatial statistics, and statistical genetics. Students collaborate with faculty members and industry partners, applying statistical methods to address complex research questions and contribute to advancements in statistical science.
Industry Engagement: The Bachelor of Mathematics (Statistical Science) program at QUT integrates industry engagement to enhance students' practical skills and employability. QUT collaborates with industry partners in sectors such as finance, healthcare, government, marketing, and technology. Students have opportunities for internships, industry projects, and collaborative research, gaining valuable experience in applying statistical methods to real-world problems and building professional networks.
Global Perspective: QUT promotes a global perspective in the Bachelor of Mathematics (Statistical Science) program through its curriculum and international collaborations. The program addresses global challenges such as climate change, healthcare disparities, economic trends, and social issues through statistical analysis and modeling. Students may have opportunities to participate in international research collaborations, study abroad programs, or attend conferences and workshops abroad, gaining insights into global data trends and perspectives.
Gardens Point
IELTS 6.5
AUD 34500
Undergraduate Entry Requirements
Academic Qualifications: Applicants for undergraduate programs typically require a minimum academic achievement of 65% or above in their previous academic qualifications.
English Language Proficiency:
Students must provide:
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.
Queensland University of Technology (QUT) is fostering a diverse and inclusive learning environment, and one of the ways it achieves this is by offering a range of scholarships to international students. These scholarships are designed to recognize academic excellence, support financial needs, and encourage students to pursue their educational goals at QUT.
QUT Excellence Scholarship: This prestigious scholarship is awarded to high-achieving international students who demonstrate outstanding academic performance. It provides financial support for tuition fees and offers a unique opportunity to be part of the QUT College of Excellence.
QUT International Merit Scholarship: This scholarship is available to international students who excel academically. It offers a partial tuition fee waiver to help reduce the cost of studying at QUT, making it a more affordable option for deserving students.
Government Scholarships: QUT collaborates with various governments and organizations to provide additional scholarship opportunities to international students. These scholarships may cover a wide range of disciplines and levels of study, making them accessible to a diverse group of students.
External Scholarships: QUT encourages international students to explore external scholarship opportunities that may be available through government agencies, private organizations, and foundations. The university provides guidance and support in identifying and applying for these scholarships.
Graduates of the Bachelor of Mathematics (Statistical Science) program at Queensland University of Technology (QUT) possess strong quantitative, analytical, and problem-solving skills, making them highly valuable across various industries.
Data Scientist: Graduates can pursue careers as data scientists, leveraging their statistical expertise to analyze large datasets, derive insights, and make data-driven decisions. They may work in industries such as finance, healthcare, retail, technology, or telecommunications, developing predictive models, conducting market research, and optimizing business strategies.
Statistician: Graduates specializing in statistical science can work as statisticians in research institutions, government agencies, pharmaceutical companies, or consulting firms. They design experiments, analyze survey data, interpret results, and provide statistical guidance to inform policy decisions, product development, or scientific research.
Actuary: Graduates with a strong background in mathematics and statistics can pursue careers as actuaries, assessing financial risks and probabilities for insurance companies, pension funds, or investment firms. They analyze data trends, calculate insurance premiums, evaluate investment strategies, and ensure financial stability through risk management practices.
Business Analyst: Graduates may work as business analysts, collaborating with organizations to analyze operational data, identify trends, and optimize business processes. They use statistical techniques to forecast market trends, evaluate performance metrics, and support strategic decision-making across departments such as marketing, operations, and finance.
Market Research Analyst: Graduates can specialize as market research analysts, collecting and analyzing data on consumer preferences, market trends, and competitive landscapes. They conduct surveys, interpret market research findings, generate reports, and provide insights to help companies understand market dynamics and develop effective marketing strategies.
Health Data Analyst/Biostatistician: Graduates interested in healthcare can pursue careers as health data analysts or biostatisticians, analyzing medical data, clinical trials, and epidemiological studies. They collaborate with healthcare professionals, pharmaceutical companies, or public health agencies to improve patient outcomes, assess treatment efficacy, and inform healthcare policies.
Quantitative Analyst (Quant): Graduates with advanced mathematical and statistical skills can work as quantitative analysts in finance, applying quantitative models and algorithms to analyze financial markets, evaluate investment strategies, and manage financial risks. They develop mathematical models, conduct quantitative research, and provide insights to trading desks or investment firms.
Environmental Statistician: Graduates may specialize in environmental statistics, working with environmental agencies, consulting firms, or research institutions to analyze environmental data, assess pollution levels, monitor climate change impacts, and develop strategies for environmental management and conservation.
Consultant: Graduates can work as statistical consultants, providing expertise to businesses, government agencies, or non-profit organizations. They may offer statistical analysis services, develop customized data solutions, conduct research studies, and assist clients in interpreting and applying statistical findings to solve complex problems.
Educator or Academic Researcher: Some graduates may pursue careers in academia or education, becoming mathematics or statistics professors at universities or high school teachers. They contribute to academic research, mentor students, and disseminate knowledge in statistical methods, data analysis, and mathematical principles.