Master of Disaster Resilience and Sustainable Development
The University of Newcastle offers a unique and forward-thinking Master of Disaster Res...
Bachelor of Data Science / Bachelor of Mathematics
Newcastle City
INTAKE: February
Program Overview
The Bachelor of Data Science / Bachelor of Mathematics program at the University of Newcastle, Australia, offers students a comprehensive education at the intersection of data science and mathematics. This interdisciplinary program prepares students for careers in data analysis, predictive modelling, and mathematical research. Through a combination of theoretical learning and practical experience, graduates develop advanced analytical skills, computational proficiency, and mathematical reasoning, making them highly sought after in industries such as finance, technology, and research.
Curriculum: The curriculum of the Bachelor of Data Science / Bachelor of Mathematics program is designed to provide students with a strong foundation in both data science and mathematics principles. Core courses cover topics such as calculus, linear algebra, probability theory, statistical analysis, machine learning, and data visualization. Students also have the opportunity to choose elective courses and specialisations in areas such as optimization, cryptography, financial mathematics, or computational methods, allowing them to tailor their degree to their career interests and goals. The program emphasises practical learning through projects, internships, and industry collaborations, enabling students to apply their skills to real-world problems and develop industry-relevant competencies.
Research Focus: The University of Newcastle is committed to advancing research in data science, mathematics, and related fields. Faculty members and students engage in research activities aimed at developing innovative algorithms, models, and methodologies for solving complex problems and addressing societal challenges. Research projects within the program may include studies on mathematical modelling, data-driven decision-making, optimization algorithms, or mathematical finance. Students have the opportunity to participate in research projects, collaborate with faculty members on research initiatives, and contribute to cutting-edge research that pushes the boundaries of data science and mathematics.
Industry Engagement: The Bachelor of Data Science / Bachelor of Mathematics program at the University of Newcastle maintains strong connections with industry partners, financial institutions, and technology firms to ensure that its curriculum remains relevant and responsive to industry needs. The university collaborates with industry partners to provide students with internship opportunities, work placements, and industry-based projects, allowing them to gain practical experience and develop professional networks in sectors such as banking, insurance, and technology. Industry professionals are involved in curriculum development, guest lectures, and workshops, providing students with insights into current practices, emerging technologies, and career pathways in data science and mathematics.
Global Perspective: As a globally focused institution, the University of Newcastle promotes a multicultural and global perspective in its Bachelor of Data Science / Bachelor of Mathematics program. Students have the opportunity to learn from internationally renowned scholars, engage with peers from diverse cultural backgrounds, and participate in global learning experiences such as study abroad programs, international internships, or collaborative projects with international partners. The program emphasises the global relevance of data science and mathematics, preparing students to work in multicultural teams, address global challenges, and leverage mathematical principles for positive societal impact on a global scale.
Location
Newcastle City
Score
IELTS 6
Tuition Fee
AUD 38890
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:
- IELTS: Overall band score of 6.0 or 6.5 with a minimum of 5.5 in each component.
- TOEFL: Overall score of 79 with a minimum of 12 in each section.
- PTE (Pearson Test of English): Overall score of 58 with a minimum of 50 in each section.
Students must provide:
- academic marksheets & transcripts
- letters of recommendation
- a personal statement - SOP
- passport
- other supporting documents as required by the university.
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.
The University of Newcastle, Australia, is making high-quality education accessible to international students. One of the ways it achieves this is by offering a wide range of scholarships designed to support and reward academic excellence, diversity, and achievement among international students.
International Excellence Scholarships: These scholarships are aimed at high-achieving international students who have a strong academic record. They provide financial assistance to cover a portion of tuition fees, making quality education more affordable.
Country-Specific Scholarships: The University of Newcastle offers scholarships tailored to specific countries, ensuring students from various regions have the opportunity to study in Australia. These scholarships may vary in terms of eligibility criteria and benefits.
Women in STEM Scholarships: To promote gender diversity in STEM fields, the university provides scholarships specifically for women pursuing degrees in science, technology, engineering, and mathematics.
Graduating with a Bachelor of Data Science / Bachelor of Mathematics from the University of Newcastle, Australia, opens up a multitude of exciting career opportunities at the intersection of data science and mathematics.
Data Scientist: Data scientists play a crucial role in analysing complex datasets, deriving insights, and developing predictive models. With a background in data science and mathematics, graduates can pursue careers as data scientists, where they apply statistical and mathematical techniques to solve real-world problems, inform business strategies, and drive innovation across various industries.
Quantitative Analyst (Quant): Quants utilise mathematical and statistical models to analyse financial markets and develop trading strategies. Graduates of this program may work as quants in finance, where they apply mathematical principles to assess risk, identify investment opportunities, and optimise trading algorithms for hedge funds, investment banks, or asset management firms.
Data Analyst: Data analysts collect, clean, and analyse data to provide insights that support decision-making and business strategies. With their skills in data science and mathematics, graduates can work as data analysts, where they use statistical methods and data visualization techniques to uncover patterns, trends, and correlations in data, helping organisations gain a competitive edge and drive growth.
Actuary: Actuaries assess and manage risk for insurance companies, financial institutions, and consulting firms. Graduates may pursue careers as actuaries, where they use mathematical models to analyse data, forecast future events, and evaluate financial risks, informing pricing strategies, product development, and financial planning decisions.
Operations Research Analyst: Operations research analysts use mathematical and computational techniques to optimise processes and make data-driven decisions. Graduates with expertise in data science and mathematics can work as operations research analysts, where they model complex systems, identify inefficiencies, and develop strategies to improve performance and resource allocation in industries such as logistics, healthcare, and manufacturing.
Software Developer: Software developers design and build software applications and systems. With their computational skills and mathematical background, graduates may work as software developers, developing algorithms, implementing mathematical models, and creating software solutions that leverage data analytics and machine learning for tasks such as pattern recognition, optimization, and forecasting.
Data Engineer: Data engineers design, build, and maintain data pipelines and infrastructure. Graduates can pursue careers as data engineers, where they develop scalable data systems, design databases, and implement data processing solutions that enable organisations to collect, store, and analyse large volumes of data efficiently and securely.
Research Scientist: Research scientists conduct research to advance knowledge in areas such as mathematics, statistics, and data science. Graduates may work as research scientists in academia, government, or industry, where they contribute to cutting-edge research projects, develop new algorithms and methodologies, and publish findings in scientific journals or present at conferences.
