Bachelor of Applied Data Analytics (BAppDataAn)

Program Code

BADA

Academic Year

2023

Program Faculty

Faculty of Sciences, Engineering and Technology

Special Notes

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These Program Rules should be read in conjunction with the University's policies (http://www.adelaide.edu.au/policies).

Overview

This program provides students with discipline-specific knowledge and data analytics skills. Students will have a major in one discipline of either economics, public health or science coupled with skills in statistics, programing, data management, visualization, communication, and ethics. Students are encouraged to undertake internships, and overseas study tours, and are eligible to be part of the University of Adelaide Deloitte Academy program. In the final year of the program, students undertake a project that allows them to apply their knowledge and skills in their chosen discipline using real-world examples and with industry and government.
 
The Bachelor of Applied Data Analytics is an AQF Level 7 program with a standard full-time duration of 3 years.

Conditions

Interruption of program: Students must apply for permission from the Executive Dean or delegate before taking a Leave of Absence. Any extension of the leave without approval will result in the loss of place in the program but an application may be made to be re-admitted to the program subject to the admission procedures in place at the time.

Academic Program Rules for Bachelor of Applied Data Analytics

There shall be a Bachelor of Applied Data Analytics.

Qualification Requirements
Academic Program: 

To qualify for the degree of Bachelor of Applied Data Analytics, the student must complete satisfactorily a program of study consisting of the following requirements with a combined total of not less than 72 units:

  1. Core courses to the value of 33 units in applied data analytics within their chosen stream including a capstone project course to the value of 3 units.
  2. One major to the value of 12 units chosen from the following:
    • Agriculture
    • Bioinformatics
    • Economics
    • Environment
    • Geosciences
    • Physics
    • Public health
  3. Electives to the value of 27 units based on the chosen major.
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Core Courses

To satisfy the requirements for Core Courses students must complete courses to the value of 33 units.

Level I

All of the following courses must be completed:

Subject / Catalogue Course Title Unit Value
APP DATA 1010 Ethics and Data Management I 3
SCIENCE 1500 Introductory Data Science - Becoming Smart About Data 3

and

Courses to the value of 3 units from the following:

Subject / Catalogue Course Title Unit Value
MATHS 1004 Mathematics for Data Science I 3
MATHS 1012 Mathematics IB 3

and

Courses to the value of 3 units from the following:

Subject / Catalogue Course Title Unit Value
ECON 1008 Data Analytics I 3
STATS 1000 Statistical Practice I 3
STATS 1005 Statistical Analysis and Modelling I 3

Level II

All of the following courses must be completed:

Subject / Catalogue Course Title Unit Value
APP DATA 2010 Data Handling and Visualisation II 3
APP DATA 2015 Data Taming and Prediction 3
APP DATA 2020 Programming II 3
STATS 2107 Statistical Modelling and Inference II 3

Level III

All of the following courses must be completed:

Subject / Catalogue Course Title Unit Value
APP DATA 3020 Capstone Project in Applied Data Analytics III 3
STATS 3001 Statistical Modelling III 3
STATS 3022 Data Science III 3
Published on: 30 November, 2022 | 10:18:11