Master of Commerce (Extension)
The University of New South Wales (UNSW), located in Sydney, Australia, offers a Master...
Bachelor of Data Science and Decisions
Kensington
INTAKE: Feb, May & Sep
Program Overview
The Bachelor of Data Science and Decisions program at the University of New South Wales (UNSW) combines principles from data science, statistics, and decision-making to equip students with skills in analyzing and interpreting data to inform strategic decisions in various industries. This interdisciplinary program integrates technical expertise with business acumen to address complex challenges in data-driven decision-making.
Curriculum: UNSW's Bachelor of Data Science and Decisions curriculum is designed to provide students with a solid foundation in data analytics, machine learning, statistical modeling, and decision theory. Core courses typically include data visualization, programming languages (such as Python or R), database management, optimization methods, and business intelligence. Students also engage in practical projects where they apply their skills to real-world data sets, developing solutions to business problems.
Research Focus: The university emphasizes research in data science and its applications across different domains. Students in the Bachelor of Data Science and Decisions program have opportunities to participate in research projects that explore areas such as predictive analytics, big data management, artificial intelligence, and optimization algorithms. Faculty-led research initiatives enable students to gain hands-on experience with cutting-edge technologies and contribute to advancing knowledge in data science.
Industry Engagement: UNSW fosters strong industry connections for Bachelor of Data Science and Decisions students through collaborations with leading corporations, tech firms, and government agencies. Industry engagement opportunities include internships, industry placements, and collaborative projects where students work on real-world challenges alongside industry professionals. Guest lectures and workshops delivered by industry experts provide insights into current trends, best practices, and emerging technologies in data science.
Global Perspective: The Bachelor of Data Science and Decisions program at UNSW incorporates a global perspective by addressing data challenges from an international standpoint. Students explore global trends in data usage, ethical considerations in data-driven decision-making, and the impact of data regulations across different countries. International study opportunities and partnerships with global universities further enrich students’ understanding of global data ecosystems and cultural contexts.
Location
Kensington
Score
IELTS 6.5
Tuition Fee
AUD 53000
Undergraduate Entry Requirements
Application Fee: AUD $150
Academic Qualifications: Applicants for undergraduate programs typically require a minimum academic achievement of 75% or above in their previous academic qualifications.
English Language Proficiency:
- IELTS: Overall band score of 6.5 or 7.0 with a minimum of 6.0 in each component.
- TOEFL: Overall score of 94 with a minimum of 23 in each section.
- PTE (Pearson Test of English): Overall score of 64 with a minimum of 54 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.
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.
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.
Graduates from UNSW's Bachelor of Data Science and Decisions program possess a strong foundation in data analytics, machine learning, and decision-making skills, making them highly sought-after in various industries that rely on data-driven insights.
Data Scientist: Graduates can pursue careers as data scientists in tech companies, financial institutions, consulting firms, and government agencies. They analyze large datasets using statistical techniques, machine learning algorithms, and data visualization tools to extract meaningful insights and inform strategic decisions.
Business Analyst: Graduates may work as business analysts, leveraging their data analysis skills to identify trends, forecast market conditions, and optimize business processes. They collaborate with stakeholders to translate data insights into actionable strategies that drive organizational growth and efficiency.
Machine Learning Engineer: Graduates with expertise in machine learning can pursue careers as machine learning engineers or AI specialists. They develop and deploy machine learning models, optimize algorithms for predictive accuracy, and integrate AI solutions into business applications such as recommendation systems or autonomous vehicles.
Data Engineer: Graduates can specialize as data engineers, focusing on designing and maintaining data pipelines, databases, and infrastructure to support data analytics and machine learning workflows. They ensure data quality, reliability, and scalability for efficient data processing and analysis.
Risk Analyst: Graduates may work as risk analysts in financial institutions or insurance companies, applying data-driven methods to assess and mitigate financial, operational, and regulatory risks. They use statistical models and predictive analytics to evaluate risk exposure and recommend risk management strategies.
Marketing Analyst: Graduates can pursue careers in marketing analytics, where they analyze consumer behavior data, campaign performance metrics, and market trends to optimize marketing strategies and improve ROI. They utilize data insights to target audiences effectively and personalize marketing campaigns.
Operations Research Analyst: Graduates may work as operations research analysts, applying mathematical modeling, optimization techniques, and simulation tools to solve complex operational problems. They collaborate with teams to streamline processes, reduce costs, and enhance efficiency in logistics, supply chain management, and resource allocation.
Data Consultant: Graduates can work as data consultants or freelance data analysts, providing expertise to organizations on data strategy, analytics implementation, and business intelligence tools. They help clients harness data-driven insights to solve specific challenges and achieve strategic objectives.
