Eligibility Requirements for Technology Sydney PG Diploma in Data Science in Quantitative Finance

English Requirements

IELTS 6.5 TOEFL IBT 79

General requirements

  • Applicants must have completed a UTS recognised bachelor's degree, or an equivalent or higher qualification, or submitted other evidence of general and professional qualifications that demonstrates potential to pursue graduate studies.

International students

  • Visa requirement: To obtain a student visa to study in Australia, international students must enrol full time and on campus. Australian student visa regulations also require international students studying on student visas to complete the course within the standard full-time duration. Students can extend their courses only in exceptional circumstances.
  • CRICOS 104626A

6/10

Bachelor's GPA Requirement

3 years degree

UG Requirement

Technology Sydney PG Diploma in Data Science in Quantitative Finance Rankings

Technology Sydney PG Diploma in Data Science in Quantitative Finance Program Description

The Graduate Certificate of Data Science in Quantitative Finance at University of Technology Sydney , comprising of machine learning theory and applications and advanced quantitative methods, provides participants with additional specialised skill sets - specifically in data science - that are in high demand, even among the more traditional financial organisations.

This data science program also enables Master of Quantitative Finance graduates to extend the specialist skills and expertise of the quantitative finance specialisation through completion of the Graduate Certificate of Data Science in Quantitative Finance as a standalone graduate certificate.

Careers 

Career options include data analyst, data scientist, forecaster, market risk analyst, credit risk analyst, data modeller and data engineer.


Program URL:https://www.uts.edu.au/future-students/find-a-course/graduate-certificate-data-science-quantitative-finance

Technology Sydney PG Diploma in Data Science in Quantitative Finance Program Curriculum

  • The subjects in this course are technical in nature and focus on quantitative finance applications through examples and case studies. 
  • The course aims to extend technical skills acquired in quantitative finance or other technical specialisations. 

Core Courses

  • The subjects in this course are technical in nature and focus on quantitative finance applications through examples and case studies. 
  • The course aims to extend technical skills acquired in quantitative finance or other technical specialisations. 
  • Finance
  • Data Science & Big Data
  • Machine Learning

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Scholarships available for International Students

  1. Rotary Peace Fellowships

  2. Monash MBA International Excellence in Leadership Scholarships in Australia

  3. Melbourne business School scholarships

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