Study with us

Our research spectrum is in data and knowledge engineering. We invite you to study your PhD with us. We currently cover the below areas of study:

  • Stream Mining and Analytics (SMA)
  • Natural Language Processing and Machine Learning (TPML)
  • Simulation and Modelling  (SM)
  • Information Visualisation
  • Real-time Big Data Management (RDBM)
  • Stochastic modeling
  • Computational statistics
  • Computational Intelligence in Sports Science
  • Data Stream Mining
  • Health Informatics

A look at the projects and staff pages should give you an idea of  other projects that we research on. If any of them are of interest to you, then please feel free to get in touch.

Register your interest in studying with us

Kindly email us here  or simply leave a message on the contact us page and we'll get in touch.

Scholarships and Funding

DSRG supports the members to fund for the following aims:

  1. Top-up for conference travel
  2. Research Assistant to support a research project
  3. Inviting visitor
  4. Refreshment/catering

Please look at the guidelines and criteria before applying.

Note: Application will be entertained only if funds are available.

Masters' degree Scholarship

Fees: $7,016 (plus up to $5000 conference costs)

Details: Temporal and spatial pattern extraction from low to high quality videos: Towards real-time data fusion for wearable and ubiquitous computing devices. See more here and in this page.

Contact: Dr Boris Bačić

Apply now

PhD Scholarship

A fully funded PhD position is available under the Data Science Research Group (DSRG) at the Auckland University of Technology (AUT). For details please visit the scholarship page.

Contact: Dr Muhammad Asif Naeem

Apply now

In addition, there are various scholarships on offer by AUT and NZ Government every year for both local and international students. For details, visit AUT scholarships and awards. You can also consider NZ International Doctoral Research Scholarships.

Current students

  1. Herman Masindano Wandabwa (PhD)
  2. Hoa Nguyen (PhD)
  3. Nawal Chanane (PhD)
  4. Chamari Indunil Kithulgoda (PhD)
  5. Jehan Badshah (PhD)
  6. Eliazar Dimalapang (Master)

Past students

  1. Rivindu Perera (PhD)
  2. Nishantha Medagoda (PhD)
  3. Fahad Alvi (PhD)
  4. Wayan Linggawa (Master)
  5. Kim Nguyen (Master)
  6. Lijuan Ning (Master)
  7. Victoria Ponomareva (BCIS Hons)
  8. Junshu Wang (Master)
  9. Solomon George Georgewashington (Master)
  10. Kingsley Basker (BCIS Hons)
  11. Aasia Moqeem (Master)

Our research

We seek to promote research into all aspects of Data Science.

Find out more