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Data Science and Business Analytics● OpenMastersPreview

Master of Data Analytics (Professional)

A professional master’s programme combining advanced data analytics coursework with a 20-week industry portfolio component.

Best for:Best for international students aiming to combine advanced data analytics education with professional experience and industry certifications.

Bond University · Gold Coast, Australia
More professors at Bond University
data engineeringdata visualizationpredictive analyticsbusiness intelligencefinancial analyticsdata-driven decision making
This is a masters position — not a PhD studentship.
Deadline
—
Funding
—
Start date
flexible (typically aligned with university intake periods)
Full-time
Location
Gold Coast
Australia

Overview

The Master of Data Analytics (Professional) at Bond University is designed for international students seeking to integrate academic training with hands-on industry experience. This programme builds on the core curriculum of the standard Master of Data Analytics, adding a unique 20-week professional portfolio component to prepare graduates for real-world roles. Students gain access to exclusive facilities, including the Bond FinTech Hub, where they can earn a Bloomberg certification and collaborate with experts in data analytics. The programme emphasizes practical application, ensuring graduates are industry-ready upon completion.

data analyticsprofessional master’sBloomberg certificationFinTechindustry portfoliodata science educationbusiness analyticsGold Coast

What you'll do

  • Complete a rigorous coursework curriculum in data analytics, covering topics like data engineering, visualization, and predictive modeling.
  • Develop and submit a professional portfolio showcasing practical applications of data analytics skills over a 20-week period.
  • Engage with industry experts and facilities such as the Bond FinTech Hub to enhance technical and professional skills.
  • Gain a Bloomberg certification to bolster industry credibility and employability.
  • Collaborate with peers and faculty on data-driven projects and case studies.
  • Participate in workshops and seminars focused on emerging trends in data analytics and FinTech.

Requirements

Degree required: Bachelor’s degree in a relevant field (e.g., Business, Computer Science, Economics, or related disciplines) or equivalent qualification.

Language: English proficiency (e.g., IELTS 6.5 or equivalent).

Instruction: English

Required skills
  • Proficiency in statistical analysis and data visualization tools (e.g., R, Python, SQL, Tableau).
  • Basic understanding of business principles and financial analytics.
  • Strong analytical and problem-solving skills.
  • Ability to work independently and collaboratively in a professional setting.
Nice to have
Experience with Bloomberg Terminal or similar financial data platforms.Prior exposure to machine learning or big data technologies.Familiarity with industry-standard data analytics software.
Eligibility
  • Open to international students; domestic students should refer to the standard Master of Data Analytics programme.
  • No specific age or residency restrictions mentioned.

Funding & terms

Type
Unknown
Amount
—
Duration
—
Programme
—

Programme and admissions

Admissions not verified

A catalogue listing does not mean applications are open or funding is guaranteed. Check the source for your intake.

Intake
Not confirmed by the source
Duration
Not confirmed by the source
Teaching language
Not confirmed by the source
Taught / research mode
Not confirmed by the source
Study mode
Not confirmed by the source
Campus
Not confirmed by the source
Prerequisites
Not confirmed by the source
Application instructions
Not confirmed by the source
Tuition
Not confirmed by the source
Funding
Not confirmed by the source

How to apply

Deadline: unknown

Applicants must submit an online application through Bond University’s official portal. Required documents typically include academic transcripts, proof of English proficiency, a personal statement, and a CV. Additional materials may be requested based on individual circumstances.

Documents required
  • Academic transcripts (Bachelor’s degree and any relevant postgraduate studies)
  • Proof of English proficiency (e.g., IELTS or TOEFL scores)
  • Personal statement or statement of purpose
  • Curriculum Vitae (CV)
  • Passport-sized photograph (if required)
↗Check programme and admissions

Contact

Lab
Centre for Data Analytics
Bond University
Australia
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Check admissions, intake and funding with the official source; a listing does not mean applications are open.