Master of Artificial Intelligence with Mathematics & Statistics

2 Years On Campus Masters Program

University of New England Armidale

Program Overview

The Master of Artificial Intelligence at the University of New England (UNE) Armidale is designed for those who are passionate about harnessing the power of AI through a mathematical lens. This program is ideal for students with a strong background in mathematics and computer science, looking to deepen their understanding of AI technologies and their applications in various fields.

Curriculum Structure:

Year 1: Students build a strong foundation in mathematics for machine learning and artificial intelligence, programming, machine learning with big data, artificial intelligence, algorithms and statistical learning. They also develop skills in software development, cybersecurity, programming paradigms and data-driven problem-solving, combining mathematical concepts with AI technologies.

Year 2: Students advance into deep learning, reinforcement learning and advanced machine-learning algorithms, while applying their knowledge through a substantial research thesis or industry-based project. The capstone develops independent research, critical thinking, complex problem-solving and the ability to design AI solutions for real-world applications.

Focus Areas: Machine Learning, Statistical Analysis, Data Science, Algorithm Development

Learning Outcomes: Proficiency in AI algorithms, Advanced mathematical modeling, Practical application of AI in real-world scenarios

Professional Alignment (Accreditation): The program is aligned with industry standards and is designed to meet the needs of employers in the rapidly evolving field of artificial intelligence.

Reputation (Employability Rankings): UNE is recognized for its strong employability outcomes, consistently ranking well in national surveys for graduate employment rates.

Experiential Learning (Research, Projects, Internships etc.)

At the University of New England (UNE) in Armidale, students pursuing a Master of Artificial Intelligence are immersed in a rich learning environment that emphasizes practical skills and real-world applications. The program is designed to equip you with the necessary tools and experiences to thrive in the rapidly evolving field of AI. With access to state-of-the-art facilities and resources, you will engage in hands-on projects that enhance your understanding and application of mathematical concepts in artificial intelligence.

Here are some of the experiential learning opportunities and resources available to you:

- Dedicated AI and Mathematics Labs: Work in specialized laboratories equipped with advanced computing resources and software tailored for AI research and development.
- Industry-Standard Software: Gain proficiency in leading AI and data analysis tools such as Python, R, TensorFlow, and MATLAB, which are essential for modern AI applications.
- Collaborative Group Projects: Participate in team-based projects that simulate real-world challenges, allowing you to apply theoretical knowledge to practical scenarios while developing teamwork and communication skills.
- Internship Opportunities: Benefit from partnerships with industry leaders that provide internship placements, giving you valuable experience and networking opportunities in the AI sector.
- Field Trips and Workshops: Engage in field trips to tech companies and research institutes, where you can learn from professionals and see AI applications in action.
- Access to Research Institutes: Collaborate with faculty and researchers at UNE’s research institutes, focusing on cutting-edge AI and mathematical research.
- Comprehensive Library Resources: Utilize UNE’s extensive library system, which offers a wealth of academic journals, books, and digital resources to support your studies and research.

Progression & Future Opportunities

Pursuing a Master of Artificial Intelligence at the University of New England (UNE) opens up a world of exciting career opportunities. Graduates from this program are well-equipped to enter high-demand fields, with roles such as Data Scientist, Machine Learning Engineer, AI Researcher, and Quantitative Analyst. The skills and knowledge gained will position you for success in a rapidly evolving job market:

- University Services: UNE offers dedicated career services, including resume workshops, interview preparation, and networking events with industry professionals to help you secure your dream job.
- Employment Stats and Salary Figures: According to recent data, graduates in AI and related fields enjoy an impressive employment rate of over 90%, with starting salaries often exceeding $80,000 per year, depending on the role and location.
- University–Industry Partnerships: UNE has established strong partnerships with leading tech companies and research institutions, providing students with opportunities for internships, collaborative projects, and real-world experience that enhances employability.
- Long-term Accreditation Value: The Master of Artificial Intelligence program is accredited and recognized globally, ensuring that your qualification remains valuable and relevant in the job market for years to come.
- Graduation Outcomes: Graduates from UNE's program have successfully transitioned into influential positions within top-tier companies, contributing to innovative projects and advancements in AI technology.

Further Academic Progression: After completing your Master’s degree, you may choose to further your studies by pursuing a PhD in Artificial Intelligence or a related field. This advanced research opportunity will allow you to delve deeper into specialized areas of AI, contribute to groundbreaking research, and enhance your career prospects in academia or high-level industry roles.

Additional Information & Requirements

Rule A: You can apply for this course if you have completed a Bachelor qualification or above (AQF Level 7, 8 or 9 or overseas equivalent) in any discipline.If you are admitted on this basis, you will be eligible for admission under standard entry. Rule A. Please see Rule A Course Structure (Program of Study).
Rule B: You have completed a Bachelor qualification (AQF Level 7 or overseas equivalent) in a relevant discipline.*If you are admitted on this basis, you will be eligible for admission under Rule B. Please see the Rule B Course Structure (Program of Study).
Rule C: You have completed a Graduate Certificate, Graduate Diploma or Bachelor with Honours (AQF Level 8 or overseas equivalent) in a relevant discipline.*If you are admitted on this basis, you will be eligible for admission under Rule C. Please see the Rule C Course Structure (Program of Study).
IELTS Academic: Overall 6.0, with a minimum of 5.5 in Listening, Reading, Writing and Speaking.
TOEFL: A minimum score of 213 in the Computer-based test, or 79 in the Internet-based test, including at least 22 in Writing.
Commonwealth Supported Place fees : Open/close tooltip $8,544.
Full campus location (Armidale): University of New England, Elm Avenue, Armidale, NSW 2351, Australia.

Country Requirements

UK: Bachelor’s degree (AQF Level 7 or overseas equivalent) in any discipline; or Bachelor’s degree (AQF Level 7) in a relevant discipline; or Graduate Certificate, Graduate Diploma or Bachelor Honours (AQF Level 8 or overseas equivalent) in a relevant discipline.

India: Bachelor’s degree (AQF Level 7 or overseas equivalent) in any discipline; or Bachelor’s degree (AQF Level 7) in a relevant discipline; or Graduate Certificate, Graduate Diploma or Bachelor Honours (AQF Level 8 or overseas equivalent) in a relevant discipline.

China: Bachelor’s degree (AQF Level 7 or overseas equivalent) in any discipline; or Bachelor’s degree (AQF Level 7) in a relevant discipline; or Graduate Certificate, Graduate Diploma or Bachelor Honours (AQF Level 8 or overseas equivalent) in a relevant discipline.

USA: Bachelor’s degree (AQF Level 7 or overseas equivalent) in any discipline; or Bachelor’s degree (AQF Level 7) in a relevant discipline; or Graduate Certificate, Graduate Diploma or Bachelor Honours (AQF Level 8 or overseas equivalent) in a relevant discipline.

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