Bachelor of Data Science

Newcastle City

 

INTAKE: February

Program Overview

The Bachelor of Data Science program at the University of Newcastle, Australia, offers students a cutting-edge education in the rapidly growing field of data science. This interdisciplinary program equips students with the knowledge and skills needed to extract insights from large and complex datasets, apply advanced analytics techniques, and leverage data-driven decision-making in various industries. Through a combination of theoretical learning and hands-on experience, graduates are prepared for careers as data scientists, analysts, and consultants, driving innovation and solving complex problems in the digital age.

Curriculum: The curriculum of the Bachelor of Data Science program is designed to provide students with a strong foundation in mathematics, statistics, computer science, and data analytics. Core courses cover topics such as data manipulation, data visualization, machine learning, programming languages (such as Python and R), database management, and statistical modelling. Students also have the opportunity to choose elective courses and specialisations in areas such as artificial intelligence, big data technologies, business analytics, or data ethics, allowing them to tailor their degree to their career interests and goals. The program emphasises practical learning through projects, case studies, and internships, 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, artificial intelligence, and related fields. Faculty members and students engage in research activities aimed at developing innovative data analytics techniques, solving complex problems, and addressing societal challenges using data-driven approaches. Research projects within the program may include studies on predictive modelling, natural language processing, image recognition, or data privacy. 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 artificial intelligence.

Industry Engagement: The Bachelor of Data 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 data science 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 analytics.

Global Perspective: As a globally focused institution, the University of Newcastle promotes a multicultural and global perspective in its Bachelor of Data 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, preparing students to work in multicultural teams, address global challenges, and leverage data for positive societal impact on a global scale.

Pollster Education

Location

Newcastle City

Pollster Education

Score

IELTS 6

Pollster Education

Tuition Fee

AUD 38185

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 from the University of Newcastle, Australia, opens up diverse and lucrative career opportunities in the rapidly growing field of data science. 

Data Scientist: Data scientists are in high demand across various industries, including technology, finance, healthcare, and e-commerce. Graduates with a Bachelor of Data Science can pursue careers as data scientists, where they analyse large and complex datasets, apply statistical and machine learning techniques, and derive actionable insights to solve business problems, improve decision-making, and drive innovation.

Data Analyst: Data analysts play a crucial role in interpreting and visualising data to provide insights that inform business strategies and operations. Graduates of the Bachelor of Data Science program may work as data analysts, where they clean, process, and analyse data, create data visualisations and dashboards, and communicate findings to stakeholders to support data-driven decision-making and business growth.

Business Intelligence Analyst: Business intelligence analysts leverage data to help organisations make strategic decisions and gain a competitive edge in the marketplace. With their skills in data analysis and business acumen, graduates can work as business intelligence analysts, where they gather and analyse data from various sources, develop reports and forecasts, and provide insights to support strategic planning, performance monitoring, and market analysis.

Machine Learning Engineer: Machine learning engineers design and implement machine learning algorithms and models to solve complex problems and automate processes. Graduates with a Bachelor of Data Science may pursue careers as machine learning engineers, where they develop algorithms, train and test models, and deploy machine learning solutions in areas such as natural language processing, image recognition, and predictive analytics.

Data Engineer: Data engineers are responsible for building and maintaining data infrastructure and systems that enable organisations to collect, store, and process large volumes of data. Graduates of the Bachelor of Data Science program can work as data engineers, where they design data pipelines, integrate data from various sources, and ensure data quality and security, supporting the needs of data scientists and analysts in accessing and analysing data effectively.

Quantitative Analyst (Quant): Quantitative analysts, also known as quants, use mathematical and statistical techniques to develop quantitative models and strategies for trading and investment purposes. Graduates with strong quantitative skills from the Bachelor of Data Science program may pursue careers as quants in finance, where they analyse market data, develop trading algorithms, and assess risk to inform investment decisions and portfolio management strategies.

Data Consultant: Data consultants provide advisory services to organisations on how to effectively collect, analyse, and leverage data to achieve business objectives. Graduates of the Bachelor of Data Science program can work as data consultants, where they assess data needs, develop data strategies, and implement data-driven solutions to help clients optimise processes, improve decision-making, and drive business performance.


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