Master of Analytics
Info Systems
A course by
AUT
Gain advanced analytical, mathematical, and computational skills to meet the growing demand for professionals capable of organising, modelling and interpreting large-scale data in industry and research.
NZ$13,630
inc GST
Enquire about international pricing
This course starts anytime
NZQA Level 9 Certification (180 Credits)
Post Grad
1
2
3
4
5
6
7
8
9
10
NZ$13,630
inc GST
Enquire about international pricing
This course starts anytime
NZQA Level 9 Certification (180 Credits)
Post Grad
1
2
3
4
5
6
7
8
9
10
Core skills this course teaches
Develop advanced analytics and database skills
Apply mathematical, statistical, and computational techniques to analyse and interpret large-scale datasets.
Understand latest theory, tools and techniques
Gain knowledge of state-of-the-art statistical modelling, mathematical simulation, and analytical methods used in industry.
What You're Signing Up For
The Master of Analytics at AUT equips students with the mathematical, statistical and computational skills required to model and analyse large datasets. The programme is designed both for recent graduates from relevant disciplines and industry professionals looking to advance their knowledge and skills. Study includes advanced analytics, database systems, statistical modelling, mathematical simulation, and a supervised research project. Students may have opportunities to earn industry certifications such as the SAS Joint Certificate in Advanced Analytics.
Course Content
- Data Mining and Machine Learning
- Data Warehousing and Big Data
- STEM Research Methods
- Mathematical Modelling and Simulation
- Advanced Topic in Analytics
- Optimisation and Operations Research
- Choice of electives including: Artificial Intelligence, Text Mining, Advanced Financial Modelling and Analytics, Official Statistics, Computational Mathematics and Statistics
- Supervised research project/dissertation
What you need to know first
Relevant bachelor’s degree in mathematical sciences (or equivalent) with a B grade average in courses at level 7 or above.
In exceptional cases, applicants with a combination of academic and professional experience may be considered subject to completion of prerequisite courses.
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Data analyst/scientistData engineerOperations research analystQuantitative analystBusiness intelligence analystMarket research analystManagement consultantResearcher in higher education
