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Data Science Capstone Project - STAT877

This unit draws together learning in previous units into a practice-based, workplace relevant project. Students will carry out a major data analysis project making use of real-world data to provide insight into significant problems. Problems may be suggested by students, by employers or industry partners or by academic staff. All projects will involve analysis of large data sets using the techniques learned in the earlier units in the program. Students will present results in a professional manner and will manage source code and data in a way that enables and encourages reproduction of the analysis by others. The project requires an equal focus on process and the product, requiring the use of quality control and assurance methods, tools and techniques.

Credit Points: 4
When Offered:

S1 Day - Session 1, North Ryde, Day

S1 Evening - Session 1, North Ryde, Evening

S2 Day - Session 2, North Ryde, Day

S2 Evening - Session 2, North Ryde, Evening

Staff Contact(s): Dr Georgy Sofronov
Prerequisites:

(32cp in STAT or ITEC units at 800 level or above) and admission to MDataSc Prerequisite Information

Corequisites:

NCCW(s): ITEC877
Unit Designation(s):

Science

Assessed As: Graded
Offered By:

Department of Mathematics and Statistics

Faculty of Science and Engineering

Course structures, including unit offerings, are subject to change.
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