Graduate Certificate in Applied Artificial Intelligence for Finance

What you will study

The course comprises 24 credit points, made up of four compulsory subjects (six credit points each).

• AI-Integrated Sustainable Finance 
• AI-Powered Investment and Risk Management
• AI-Driven Compliance, Anomaly and Fraud Detection
• Digital and Decentralised Markets

Entry requirements

To be eligible for admission to this course, applicants must have one of the following:

• Completed Australian bachelor's degree or higher qualification, or overseas equivalent.
• A minimum of five years full-time, or equivalent part-time, relevant post-secondary professional experience and a general capacity to undertake tertiary education.

Relevant professional experience refers to any current work experience in which you have developed skills, knowledge and competencies directly related to the course for which you are applying. This includes roles such as managers, professionals, technicians, community, personal service, clerical, administrative, or sales workers across various industries.

Supporting documentation to be submitted with the application

For applicants who need to demonstrate work experience:

• Curriculum vitae and Statement of Service in one of the following formats:
  • A 'Statement of Service' provided by the employer.
  • A completed 'UTS Statement of Service’ signed by the employer.
  • A statutory declaration confirming work experience (for Australian residents only).
  • An official letter from the applicant’s accountant or solicitor on their company letterhead confirming the applicant’s work experience or engagement with the business, duration of operations and the nature of the business.
  • A business certificate of registration in original language and English (e.g. provision of ASIC documentation or ABN or similar documentation for Australian businesses).

English language requirements

The English proficiency requirement for local applicants with international qualifications is:

• IELTS Academic: 6.5 overall with a writing score of 6.0
• TOEFL iBT: 79-93 overall with a writing score of 21
• AE5: Pass; or PTE: 58-64 with a writing score of 50
• C1A/C2P: 176-184 with a writing score of 169

Eligibility for admission does not guarantee the offer of a place.

Recognition of Prior Learning

There is no Recognition of Prior Learning available for this course.

Outcomes

Career outcomes

Graduates of the Graduate Certificate in Applied Artificial Intelligence for Finance possess a versatile skill set that opens doors to a wide range of career opportunities. They are well-equipped to excel in various organisations and roles within the finance sector and beyond. Career options include positions in:

• Banking institutions
• Consulting firms
• Financial technology companies
• Investment firms
• Regulatory bodies
• Startups
• Wealth management companies
• Insurance companies
• Government and public sector
• Academia and research
• Entrepreneurship

Learning outcomes:

• Implement critical, analytical and innovative problem-solving skills to identify and propose effective solutions to contemporary finance issues using AI technologies.
• Evaluate and assess the suitability of AI techniques to address specific finance challenges, considering factors such as data availability, computational requirements and ethical considerations.
• Communicate complex AI concepts and findings clearly and effectively to diverse stakeholders, adapting the communication style to suit the audience's level of technical understanding.
• Collaborate with colleagues, clients and stakeholders from multidisciplinary backgrounds to develop and implement AI-based strategies, projects and initiatives that achieve desired outcomes while considering business objectives, regulatory requirements and ethical standards.
• Ensure ethical AI practices in finance that are inclusive, fair and transparent.
• Integrate high-level technical skills in AI and machine learning with an understanding of finance principles, enabling the application of AI-based models, algorithms and tools to address complex financial problems, optimise processes and support decision-making in diverse finance domains.
• Critically reflect on the rights to consent, privacy, data sovereignty and self determination to work ethically with and for Indigenous Australians across finance professions.

Fees and FEE-HELP

Estimated tuition fee per session in 2025: $19,725 (domestic full-fee paying place)

The estimated fee is calculated based on a study load of 24 credit points per session.

Tuition fees are charged:

• Based on the particular course in which you are enrolled.
• Based on the number of credit points in which you are enrolled.
• At the rates set for the current year and revised annually.

In addition to tuition fees, students are required to pay a Services and Amenities Fee (SSAF). The purchase of textbooks and other course materials may also result in additional costs.

Student fees shown are subject to change. Contact the university directly to confirm.

FEE-HELP loans are available to assist eligible full-fee paying domestic students with the cost of a university course.