Master of Accounting
The Master of Accounting program at Monash University offers a compreh...
Bachelor of Applied Data Science
Melbourne
INTAKE: February
Program Overview
Monash University's Bachelor of Applied Data Science program is designed to equip students with the practical skills and theoretical knowledge required to thrive in the rapidly evolving field of data science. It integrates foundational principles of statistics, computer science, and mathematics with advanced techniques in data analytics and machine learning. The program is structured to meet the growing demand for data-driven decision-makers across various industries, offering students opportunities to work on real-world projects and gain hands-on experience with cutting-edge technologies.
Curriculum: The curriculum of the Bachelor of Applied Data Science at Monash University is comprehensive, covering core areas such as statistical analysis, programming languages (Python, R), data visualization, machine learning, and big data technologies. Students also explore topics in data ethics, data mining, and predictive modeling. The program emphasizes practical applications through industry case studies and collaborative projects, preparing graduates to tackle complex data challenges in diverse professional settings.
Research Focus: Monash University is renowned for its strong research focus in data science and related fields. Faculty members and researchers at Monash are actively engaged in pioneering research initiatives that address global challenges in healthcare, finance, environmental sustainability, and more. Students in the Bachelor of Applied Data Science program have opportunities to engage in research projects under the guidance of leading academics, contributing to advancements in data-driven innovation and knowledge creation.
Industry Engagement: The university maintains robust partnerships with industry leaders, ensuring that the Bachelor of Applied Data Science program remains relevant and responsive to industry needs. Through industry placements, internships, and guest lectures from industry experts, students gain invaluable insights into real-world applications of data science. These collaborations also provide networking opportunities and enhance students' employability upon graduation.
Global Perspective: Monash University's Bachelor of Applied Data Science program fosters a global perspective by integrating international case studies, cross-cultural collaboration opportunities, and global research partnerships. Students benefit from a diverse learning environment that prepares them to work in multinational corporations or pursue careers abroad. Additionally, Monash's campuses in Australia, Malaysia, and South Africa offer exchange programs that allow students to broaden their academic and cultural horizons.
Location
Melbourne
Score
IELTS 6.5
Tuition Fee
AUD 50200
Undergraduate Entry Requirements
Application Fee: AUD $100
Academic Qualifications: Applicants for undergraduate programs typically require a minimum academic achievement of 70% 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 80 with a minimum of 19 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.
Monash University offers a range of scholarships to both domestic and international students to help cover the cost of tuition fees, living expenses, and other study-related costs. These scholarships are awarded based on academic excellence, financial need, leadership potential, and other criteria.
Monash International Merit Scholarship: This scholarship is offered to international students who have demonstrated academic excellence in their previous studies. The scholarship provides up to $10,000 per annum for the duration of the student's course.
Monash Asylum Seekers Scholarship: This scholarship is designed to provide financial assistance to asylum seekers who are undertaking undergraduate or postgraduate study at Monash University. The scholarship covers the cost of tuition fees, as well as a range of other study-related expenses.
Monash Equity Scholarship: This scholarship is offered to students who have experienced financial hardship or other forms of disadvantage that have impacted their ability to succeed academically. The scholarship provides up to $6,000 per annum to assist with living expenses and other costs.
Monash Indigenous Scholarship: This scholarship is available to Indigenous students who are undertaking undergraduate or postgraduate study at Monash University. The scholarship provides a range of benefits, including financial assistance, mentoring, and academic support.
Graduates of Monash University's Bachelor of Applied Data Science program are well-positioned for a wide range of career opportunities in the burgeoning field of data science. The program equips students with essential skills in data analysis, statistical modeling, machine learning, and data visualization, making them highly sought after by employers across various industries.
Data Analyst: Data analysts play a crucial role in interpreting and analyzing complex data sets to uncover insights that drive business decisions. They use statistical techniques and software tools to process and visualize data, helping organizations optimize performance and achieve strategic goals.
Data Scientist: Data scientists are skilled in advanced analytics and machine learning algorithms, capable of developing predictive models and algorithms to solve business problems. They work closely with stakeholders to identify trends, patterns, and opportunities within large datasets, contributing to innovation and operational efficiency.
Business Intelligence Specialist: Business intelligence specialists focus on transforming raw data into actionable insights for business leaders. They design and implement data visualization dashboards and reporting tools that enable organizations to monitor key performance indicators (KPIs) and make data-driven decisions in real-time.
Machine Learning Engineer: Machine learning engineers specialize in developing and deploying machine learning models and algorithms. They collaborate with data scientists and software developers to build scalable solutions for automated data analysis, natural language processing, and image recognition, among other applications.
Big Data Architect: Big data architects design and manage data infrastructure solutions capable of processing and storing large volumes of structured and unstructured data. They leverage cloud computing platforms and distributed systems to ensure data accessibility, reliability, and scalability for organizations handling massive datasets.
Research Scientist: Research scientists pursue academic or industrial research careers, conducting innovative studies in data science, artificial intelligence, and related fields. They contribute to scientific advancements through experimental design, data analysis, and publication of findings in peer-reviewed journals.
Consultant/Advisor: Data science consultants provide strategic guidance to businesses on leveraging data analytics to improve operational efficiency, customer satisfaction, and market competitiveness. They offer expertise in data strategy, data governance, and implementation of analytics solutions tailored to client needs.
Financial Analyst: Financial analysts use quantitative analysis and financial modeling techniques to assess investment opportunities, risk management strategies, and market trends. They utilize data-driven insights to support financial decision-making and optimize portfolio performance for investors and financial institutions.
Healthcare Data Analyst: Healthcare data analysts apply data science techniques to healthcare data sets, aiming to enhance patient care, optimize clinical workflows, and improve healthcare outcomes. They collaborate with healthcare professionals to implement data-driven solutions that address challenges in medical research, disease prevention, and healthcare delivery.
