University of Technology Sydney
Graduate Certificate in Applied Artificial Intelligence for Finance
- Delivery: Face to Face
- Study Level: Postgraduate
- Duration: 1 year
- Course Type: Graduate Certificate
Explore how artificial intelligence and machine learning are applied to investment, risk management, fraud detection and sustainable finance through practical exercises, case studies and industry-focused learning.
Course overview
The Graduate Certificate in Applied Artificial Intelligence for Finance at the University of Technology Sydney (UTS) is designed for finance and business professionals, as well as recent graduates seeking to understand the application of artificial intelligence (AI) in financial services. The course examines how emerging technologies are changing investment, financial decision-making and business operations.
Study covers machine learning, AI-integrated sustainable finance, investment and risk management, compliance, fraud detection and digital and decentralised markets. Through case studies, interactive lectures, guest presentations and practical exercises, you will explore data analysis and automation, assess the opportunities and risks associated with AI technologies and consider their responsible and ethical use in finance.
The course comprises four compulsory subjects totalling 24 credit points and is listed as one year part-time, with a minimum completion period of eight months. Study is based at the UTS City campus. The knowledge developed can be applied across banking, financial consulting, wealth management and financial technology, particularly in areas involving investment analysis, regulatory compliance and financial risk.
Key facts
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.
Applicants without a bachelor's degree must have at least five years of relevant professional work experience (full-time or equivalent part-time) and a general capacity to undertake tertiary education.
Applicants without a bachelor's degree must have at least five years of relevant professional work experience (full-time or equivalent part-time) and a general capacity to undertake tertiary education.
Relevant professional experience includes roles such as:
- Chief Executives
- General Managers
- Legislators
- Finance Managers
- Research and Development Managers
- Financial Brokers and Dealers
- Investment Advisers
- Business and Systems Analysts
- Natural and Physical Science professionals
Relevant experience must involve developing skills, knowledge and competencies directly related to the course.
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
Indicative first-year and total tuition fee in 2026: $20,613 (domestic full-fee paying place)
All costs are calculated using current rates and are based on a study load of 24 credit points (normally four subjects) per semester or year.
Student fees may vary in accordance with:
- The number of subjects studied per term.
- The choice of major or specialisation.
- Choice of courses.
- Credit from previous study or work experience.
- Eligibility for government-funded loans.
You may also need to pay the student services and amenities fee.
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 program.