Master of Disaster Resilience and Sustainable Development
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Bachelor of Data Science / Bachelor of Computer Science
Newcastle City
INTAKE: February
Program Overview
The Bachelor of Data Science / Bachelor of Computer Science program at the University of Newcastle, Australia, offers students a unique and comprehensive education that combines the disciplines of data science and computer science. This interdisciplinary program equips students with the knowledge and skills needed to harness the power of data, develop advanced computing systems, and solve complex problems in various industries. Graduates emerge with a deep understanding of data analytics, machine learning, software development, and computational techniques, making them highly sought after in the rapidly evolving fields of technology, data science, and artificial intelligence.
Curriculum: The curriculum of the Bachelor of Data Science / Bachelor of Computer Science program is designed to provide students with a strong foundation in both data science and computer science principles. Core courses cover topics such as programming languages, algorithms, data structures, database systems, statistical analysis, machine learning, and artificial intelligence. Students also have the opportunity to choose elective courses and specialisations in areas such as big data technologies, cloud computing, cybersecurity, or computer vision, 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, computer science, and related fields. Faculty members and students engage in research activities aimed at developing innovative algorithms, systems, and methodologies for solving complex problems and addressing societal challenges. Research projects within the program may include studies on data privacy, algorithm design, computer vision, natural language processing, or cybersecurity. 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 computer science.
Industry Engagement: The Bachelor of Data Science / Bachelor of Computer Science program at the University of Newcastle maintains strong connections with industry partners, technology firms, and government agencies 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 the technology sector. 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 computer science.
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 Computer Science 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 computer science, preparing students to work in multicultural teams, address global challenges, and leverage technology 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 Computer Science from the University of Newcastle, Australia, opens up a wide array of exciting career opportunities at the intersection of data science and computer science.
Data Scientist: Data scientists are in high demand across industries, using their skills in data analysis and computer science to extract insights from large datasets and develop predictive models. Graduates of this program can pursue careers as data scientists, where they analyse data, build machine learning models, and provide actionable insights to drive business decisions and innovations.
Software Engineer: Software engineers design, develop, and maintain software systems and applications. With a background in computer science and data science, graduates can work as software engineers, creating software solutions that leverage data analytics, artificial intelligence, and machine learning to solve complex problems and improve efficiency.
Machine Learning Engineer: Machine learning engineers focus on building and deploying machine learning models and algorithms. Graduates of this program may work as machine learning engineers, developing algorithms that power intelligent systems, such as recommendation engines, natural language processing systems, and autonomous vehicles.
Data Engineer: Data engineers are responsible for building and managing data pipelines and infrastructure. Graduates can pursue careers as data engineers, designing and implementing systems that collect, process, and store data efficiently, enabling organisations to leverage data for decision-making and analytics.
Data Analyst: Data analysts gather, analyse, and interpret data to help organisations make informed decisions. With their skills in data science and computer science, graduates can work as data analysts, uncovering insights from data and communicating findings to stakeholders to support strategic decision-making.
Business Intelligence Developer: Business intelligence developers create tools and systems for collecting, analysing, and visualising data. Graduates may work as business intelligence developers, designing dashboards, reports, and data visualisations that empower businesses to monitor performance, identify trends, and make data-driven decisions.
Cybersecurity Analyst: Cybersecurity analysts protect organisations from cyber threats by monitoring networks, detecting vulnerabilities, and implementing security measures. Graduates with knowledge of data science and computer science can work as cybersecurity analysts, analysing data to identify security risks and develop strategies to mitigate them.
Software Product Manager: Software product managers oversee the development and launch of software products. Graduates of this program can work as software product managers, guiding the development process, defining product features, and ensuring that software products meet the needs of users and stakeholders.
Research Scientist: Research scientists conduct research to advance knowledge in fields such as artificial intelligence, machine learning, and data science. Graduates may pursue careers as research scientists, working in academia, government, or industry to push the boundaries of technology and develop innovative solutions to complex problems.
