Master of Applied Project Management (Project Systems)
The Master of Applied Project Management (Project Systems) program at ...
Master of Machine Learning
North Terrace - Adelaide
INTAKE: Jan, May & Sept
Program Overview
The Master of Machine Learning at the University of Adelaide is a program that places a strong emphasis on providing students with the knowledge and skills needed to excel in the dynamic field of machine learning.
Curriculum: The program's curriculum is meticulously designed to offer students a comprehensive understanding of machine learning concepts and methodologies. It encompasses a wide array of subjects, including deep learning, natural language processing, computer vision, and data science. Students are exposed to advanced techniques that are pivotal in solving complex problems using machine learning algorithms.
Research Focus: The University of Adelaide is committed to research, and this program reflects that commitment. Students are encouraged to engage in research projects related to machine learning under the guidance of experienced faculty members. This hands-on research experience equips students with the ability to address real-world challenges and contribute to the field's ongoing developments.
Industry Engagement: The program actively engages with the machine learning industry. Students have the opportunity to interact with experts, attend workshops, and participate in internships facilitated by industry partners. This engagement with professionals in the field offers students invaluable insights into the practical applications of machine learning in various industries, including healthcare, finance, and technology.
Global Perspective: Machine learning is a universal discipline with a global impact. The program offers a global perspective, ensuring that students are well-prepared to tackle machine learning challenges on a global scale. This is particularly crucial in an era where machine learning technologies transcend borders and industries.
Location
North Terrace - Adelaide
Score
IELTS 6.5
Tuition Fee
AUD 48500
POSTGRADUATE ENTRY REQUIREMENTS:
Academic Qualifications: Applicants are generally expected to have a bachelor's degree or its equivalent with a minimum score of 65% or higher. Program-specific requirements may vary, so it's advisable to consult the program's official webpage for any additional prerequisites.
English Language Proficiency:
- IELTS: An overall score of 6.5 or 7.0 higher is commonly required, with a minimum score of 6 in each section.
- TOEFL: A minimum overall score of 79 is often expected, along with specific minimum scores for each section, including listening (13), reading (13), writing (21), and speaking (18).
- PTE (Pearson Test of English): A minimum overall score of 58, with a minimum of 50 in each communicative skill, is generally the requirement.
Students must provide:
- academic marksheets & transcripts
- letters of recommendation
- a personal statement - SOP
- passport
- other supporting documents as required by the university.
Work experience: Some postgraduate courses may require relevant work experience in the field.
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 Adelaide takes great pride in its promoting diversity and attracting the best and brightest minds from around the globe. To facilitate this, the university offers a wide array of scholarships designed to assist international students in their academic endeavors.
1. Adelaide Scholarships International (ASI): The Adelaide Scholarships International program is a prestigious scheme that provides full tuition fees, an annual living allowance, and health insurance to high-achieving international postgraduate students. These scholarships are merit-based and are highly competitive, supporting the most outstanding scholars.
2. Vice-Chancellor's International Excellence Scholarships: This scholarship program is designed to recognize exceptional academic achievements and leadership potential. It provides a tuition fee waiver of up to 30% for undergraduate and postgraduate coursework students. Recipients of these scholarships become ambassadors for the university's commitment to academic excellence.
3. Adelaide Global Excellence Scholarships: The Adelaide Global Excellence Scholarships target high-performing undergraduate and postgraduate coursework students. They offer a 15% reduction in tuition fees for the duration of the program, making quality education more accessible to international students pursuing excellence.
4. Higher Degree by Research Scholarships: International students seeking to embark on a research journey at the University of Adelaide can apply for Higher Degree by Research (HDR) Scholarships. These scholarships provide financial support, including tuition fee waivers and living allowances, allowing research students to focus on their academic pursuits.
5. Sponsored Scholarships and External Funding: The university actively collaborates with governments, organizations, and industry partners to provide sponsored scholarships and external funding opportunities for international students. These partnerships offer additional avenues for students to secure financial support for their studies.
Graduates of the Master of Machine Learning program at the University of Adelaide are well-prepared for an array of career opportunities in this rapidly growing field.
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Machine Learning Engineer: Graduates can work as machine learning engineers, responsible for developing and deploying machine learning models in various applications.
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Data Scientist: Many graduates opt for careers as data scientists, extracting valuable insights from large datasets and driving data-driven decision-making.
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Artificial Intelligence Researcher: Some graduates may choose to engage in advanced research, working as AI researchers to pioneer new machine learning techniques and approaches.
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Business Intelligence Analyst: Graduates can find roles as business intelligence analysts, using machine learning to provide actionable insights for organizations' strategic planning.
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AI Product Manager: Graduates with a strong business acumen may work as AI product managers, overseeing the development of machine learning-based products and solutions.
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Machine Learning Consultant: Some graduates may choose to work as consultants, providing expertise to businesses seeking to implement machine learning solutions effectively.
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Data Analyst: Graduates may work as data analysts, responsible for interpreting data and using machine learning to uncover trends and patterns.
