Bachelor of Applied Data Analytics (BAppDataAn)

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Detailed Program Information

Program Code
BAPDA

Program Faculty
Faculty of Sciences, Engineering and Technology

Academic Year
2021

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

Overview

This program will provide students with the practical skills and knowledge to work in roles that are responsible for communication and application of data analytics to decision-making processes to provide discipline-specific solutions. Students have the opportunity to focus on more or less quantitative forms of big data analytics in a transdisciplinary setting that focuses on data literacy, ethical data management, data handling and visualization, data analysis, machine learning and decision-making processes within the chosen discipline. In the final year of the program, students undertake a project that allows them to apply their knowledge and skills to that discipline.
 
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

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 24 units in applied data analytics within their chosen stream including a capstone project course worth 3 units
  2. One major chosen from the following:
    • Agriculture
    • Bioinformatics
    • Environment
    • Economics
    • Geosciences
    • Physics
    • Public health
  3. Electives based on the chosen major

Core Courses

  • Core Courses

    To satisfy the requirements for Core Courses students must complete courses to the value of 24 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

    and

    Courses to the value of 3 units from the following:

    for the more quantitative stream

    Subject/Catalogue Course Title Unit Value
    APP DATA 2015 Statistical Inference and Machine Learning II 3

    or

    Subject/Catalogue Course Title Unit Value
    APP DATA 3035 Statistical Inference and Machine Learning III 3

    or

    for the less quantitative stream

    Subject/Catalogue Course Title Unit Value
    APP DATA 2020 Programming II 3

    Level III

    All of the following courses must be completed:

    Subject/Catalogue Course Title Unit Value
    APP DATA 3020 Capstone Project in Domain-Specific Decision Science III 3

    and

    Courses to the value of 3 units from the following:

    for the more quantitative stream

    Subject/Catalogue Course Title Unit Value
    APP DATA 3010 Advanced Data Analysis III 3
    APP DATA 3015 Numerical Modelling III 3

    or

    for the less quantitative stream

    Subject/Catalogue Course Title Unit Value
    APP DATA 3025 Machine Learning and Data Analytics III 3
    APP DATA 3030 Quantitative Decision Making III 3

Major

Electives

Published on: 12 March, 2024 | 12:26:05

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