Master of Artificial Intelligence and Machine Learning

North Terrace - Adelaide

 

INTAKE: Jan, May & Sept

Program Overview

The Master of Artificial Intelligence and Machine Learning program at the University of Adelaide is designed to provide students with a solid foundation in AI and machine learning technologies. 

Curriculum: The program offers a cutting-edge curriculum that covers a wide range of AI and machine learning topics. Students learn about deep learning, natural language processing, computer vision, and data mining. The curriculum ensures that students gain a deep understanding of AI and machine learning techniques and their applications.

Research Focus: The University of Adelaide is committed to fostering a research-oriented approach. Students are encouraged to engage in research projects and practical applications of AI and machine learning. They work on real-world projects, analyze data, and develop AI-driven solutions.

Industry Engagement: The program maintains strong ties with the technology and data science industry. It offers opportunities for internships, industry collaborations, and hands-on experience with cutting-edge technologies. Industry engagement ensures that students gain practical exposure to real-world AI and machine learning challenges and solutions.

Global Perspective: AI and machine learning are fields with global significance. This program provides students with a global perspective by exploring international AI trends, case studies, and best practices. Students are exposed to diverse AI applications and the global impact of these technologies.

Pollster Education

Location

North Terrace - Adelaide

Pollster Education

Score

IELTS 6.5

Pollster Education

Tuition Fee

AUD 41000

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 Artificial Intelligence and Machine Learning program at the University of Adelaide are well-prepared for exciting career opportunities in the dynamic field of AI and machine learning. 

  1. Machine Learning Engineer: Graduates can pursue roles as machine learning engineers, responsible for developing machine learning models and algorithms.

  2. Data Scientist: Data science roles are open to graduates, focusing on data analysis, predictive modeling, and machine learning.

  3. AI Researcher: Some graduates may choose to work as AI researchers, contributing to the development of cutting-edge AI technologies.

  4. AI Consultant: Graduates with advanced knowledge can become AI consultants, providing expert advice on AI strategy and implementation.

  5. Natural Language Processing Specialist: Opportunities exist in the field of NLP, where graduates can work on language-related AI applications.

  6. Computer Vision Engineer: Graduates can specialize in computer vision, working on applications such as image and video analysis.

  7. AI Product Manager: Some graduates may choose to work as AI product managers, overseeing the development and deployment of AI solutions.

  8. Robotics Engineer: In the field of robotics, graduates can work on creating intelligent robotic systems.


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