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- Home
- Our school
- Study with us
- Our research
-
Student life & resources
Postgraduate research
- Info for new students
- Current research students
- Postgraduate conference
- Postgraduate events
- Postgraduate student awards
- Michael Tallis PhD Research Travel Award
- Information about research theses
- Past research students
- Resources
- Entry requirements
- PhD projects
- Obtaining funding
- Application & fee information
Student services
- Help for postgraduate students
- Thesis guidelines
- School assessment policies
- Computing information
- Mathematics Drop-in Centre
- Consultation
- Statistics Consultation Service
- Academic advice
- Enrolment variation
- Changing tutorials
- Illness or misadventure
- Application form for existing casual tutors
- ARC grants Head of School sign off
- Computing facilities
- Choosing your major
- Engage with us
- News & events
- Contact
Overview
Note: DATA9001 is a postgraduate mathematics coursework subject and is available in the 5959 or 8959 Data Science and Decisions programs and in the 5518 or 8518 Physical Oceanography programs only.
Not permitted for other School of Mathematics and Statistics Master programs or the Honours program.
Units of credit: 6
Cycle of offering: Term 2 2023
Graduate attributes: The course will enhance your research, inquiry and analytical thinking abilities. This course has been designed as an elective within the Professional Master of Science suite. Students will be provided with a broad overview of data science as a platform for further studies in data science and an understanding and appreciation of data science in the modern world.
More information: The Course outline will be made available closer to the start of term - please visit this website: https://www.unsw.edu.au/course-outlines, opens in a new window
Important additional information as of 2023
UNSW Plagiarism Policy
The University requires all students to be aware of its policy on plagiarism.
For courses convened by the School of Mathematics and Statistics no assistance using generative AI software is allowed unless specifically referred to in the individual assessment tasks.
If its use is detected in the no assistance case, it will be regarded as serious academic misconduct and subject to the standard penalties, which may include 00FL, suspension and exclusion.
If you are currently enrolled in DATA9001, you can log into UNSW Moodle, opens in a new window for this course.
Contact: pg.mathsstats@unsw.edu.au for any enquiries
Course overview
Students will study the fundamentals of Data Science as it is applied in Computer Science, Economics and Mathematics and Statistics. They will be introduced to topics such as databases, data analytics, data mining, Bayesian statistics, statistical software, econometrics, machine learning, business forecasting.