UniMate AI

DATA7902

数据科学

4 学分难度 超难

(First offered from Semester 1, 2018) The capstone project will focus on tackling a data science problem sourced from science, government or industry. Capstone projects can be research oriented or development oriented.

Syllabus

每周大纲

  1. 1

    Data Science Project Build

    No separate week-by-week topic is publicly listed for Week 1; official repeated teaching activities are shown below: - Not Timetabled: Data Science Project Build - This runs through the entire semester. It is important to remember that you largely drive your project. You are responsible for managing the timely completion of your project, generating ideas, working through difficulties, searching for appropriate resources, and completing your project deliverables on time. Your supervisor's role should be as an advisor and mentor. Learning outcomes: L01, L02, L03, L04, L05 Source: 2026 UQ Course Profile - https://course-profiles.uq.edu.au/course-profiles/DATA7902-21288-7620

  2. 2

    Data Science Project Build

    No separate week-by-week topic is publicly listed for Week 2; official repeated teaching activities are shown below: - Not Timetabled: Data Science Project Build - This runs through the entire semester. It is important to remember that you largely drive your project. You are responsible for managing the timely completion of your project, generating ideas, working through difficulties, searching for appropriate resources, and completing your project deliverables on time. Your supervisor's role should be as an advisor and mentor. Learning outcomes: L01, L02, L03, L04, L05 Source: 2026 UQ Course Profile - https://course-profiles.uq.edu.au/course-profiles/DATA7902-21288-7620

  3. 3

    Data Science Project Build

    No separate week-by-week topic is publicly listed for Week 3; official repeated teaching activities are shown below: - Not Timetabled: Data Science Project Build - This runs through the entire semester. It is important to remember that you largely drive your project. You are responsible for managing the timely completion of your project, generating ideas, working through difficulties, searching for appropriate resources, and completing your project deliverables on time. Your supervisor's role should be as an advisor and mentor. Learning outcomes: L01, L02, L03, L04, L05 Source: 2026 UQ Course Profile - https://course-profiles.uq.edu.au/course-profiles/DATA7902-21288-7620

  4. 4

    Data Science Project Build

    No separate week-by-week topic is publicly listed for Week 4; official repeated teaching activities are shown below: - Not Timetabled: Data Science Project Build - This runs through the entire semester. It is important to remember that you largely drive your project. You are responsible for managing the timely completion of your project, generating ideas, working through difficulties, searching for appropriate resources, and completing your project deliverables on time. Your supervisor's role should be as an advisor and mentor. Learning outcomes: L01, L02, L03, L04, L05 Source: 2026 UQ Course Profile - https://course-profiles.uq.edu.au/course-profiles/DATA7902-21288-7620

  5. 5

    Data Science Project Build

    No separate week-by-week topic is publicly listed for Week 5; official repeated teaching activities are shown below: - Not Timetabled: Data Science Project Build - This runs through the entire semester. It is important to remember that you largely drive your project. You are responsible for managing the timely completion of your project, generating ideas, working through difficulties, searching for appropriate resources, and completing your project deliverables on time. Your supervisor's role should be as an advisor and mentor. Learning outcomes: L01, L02, L03, L04, L05 Source: 2026 UQ Course Profile - https://course-profiles.uq.edu.au/course-profiles/DATA7902-21288-7620

  6. 6

    Data Science Project Build

    No separate week-by-week topic is publicly listed for Week 6; official repeated teaching activities are shown below: - Not Timetabled: Data Science Project Build - This runs through the entire semester. It is important to remember that you largely drive your project. You are responsible for managing the timely completion of your project, generating ideas, working through difficulties, searching for appropriate resources, and completing your project deliverables on time. Your supervisor's role should be as an advisor and mentor. Learning outcomes: L01, L02, L03, L04, L05 Source: 2026 UQ Course Profile - https://course-profiles.uq.edu.au/course-profiles/DATA7902-21288-7620

  7. 7

    Data Science Project Build

    No separate week-by-week topic is publicly listed for Week 7; official repeated teaching activities are shown below: - Not Timetabled: Data Science Project Build - This runs through the entire semester. It is important to remember that you largely drive your project. You are responsible for managing the timely completion of your project, generating ideas, working through difficulties, searching for appropriate resources, and completing your project deliverables on time. Your supervisor's role should be as an advisor and mentor. Learning outcomes: L01, L02, L03, L04, L05 Source: 2026 UQ Course Profile - https://course-profiles.uq.edu.au/course-profiles/DATA7902-21288-7620

  8. 8

    Data Science Project Build

    No separate week-by-week topic is publicly listed for Week 8; official repeated teaching activities are shown below: - Not Timetabled: Data Science Project Build - This runs through the entire semester. It is important to remember that you largely drive your project. You are responsible for managing the timely completion of your project, generating ideas, working through difficulties, searching for appropriate resources, and completing your project deliverables on time. Your supervisor's role should be as an advisor and mentor. Learning outcomes: L01, L02, L03, L04, L05 Source: 2026 UQ Course Profile - https://course-profiles.uq.edu.au/course-profiles/DATA7902-21288-7620

  9. 9

    Data Science Project Build

    No separate week-by-week topic is publicly listed for Week 9; official repeated teaching activities are shown below: - Not Timetabled: Data Science Project Build - This runs through the entire semester. It is important to remember that you largely drive your project. You are responsible for managing the timely completion of your project, generating ideas, working through difficulties, searching for appropriate resources, and completing your project deliverables on time. Your supervisor's role should be as an advisor and mentor. Learning outcomes: L01, L02, L03, L04, L05 Source: 2026 UQ Course Profile - https://course-profiles.uq.edu.au/course-profiles/DATA7902-21288-7620

  10. 10

    Data Science Project Build

    No separate week-by-week topic is publicly listed for Week 10; official repeated teaching activities are shown below: - Not Timetabled: Data Science Project Build - This runs through the entire semester. It is important to remember that you largely drive your project. You are responsible for managing the timely completion of your project, generating ideas, working through difficulties, searching for appropriate resources, and completing your project deliverables on time. Your supervisor's role should be as an advisor and mentor. Learning outcomes: L01, L02, L03, L04, L05 Source: 2026 UQ Course Profile - https://course-profiles.uq.edu.au/course-profiles/DATA7902-21288-7620

  11. 11

    Data Science Project Build

    No separate week-by-week topic is publicly listed for Week 11; official repeated teaching activities are shown below: - Not Timetabled: Data Science Project Build - This runs through the entire semester. It is important to remember that you largely drive your project. You are responsible for managing the timely completion of your project, generating ideas, working through difficulties, searching for appropriate resources, and completing your project deliverables on time. Your supervisor's role should be as an advisor and mentor. Learning outcomes: L01, L02, L03, L04, L05 Source: 2026 UQ Course Profile - https://course-profiles.uq.edu.au/course-profiles/DATA7902-21288-7620

  12. 12

    Data Science Project Build

    No separate week-by-week topic is publicly listed for Week 12; official repeated teaching activities are shown below: - Not Timetabled: Data Science Project Build - This runs through the entire semester. It is important to remember that you largely drive your project. You are responsible for managing the timely completion of your project, generating ideas, working through difficulties, searching for appropriate resources, and completing your project deliverables on time. Your supervisor's role should be as an advisor and mentor. Learning outcomes: L01, L02, L03, L04, L05 Source: 2026 UQ Course Profile - https://course-profiles.uq.edu.au/course-profiles/DATA7902-21288-7620

Assessment

考核结构

Presentation Hurdle Identity Verified In-personHurdle

Official due date: 18/05/2026 - 22/05/2026. Source: 2026 UQ Course Profile.

40%

Final report HurdleHurdle

Official due date: 10/06/2026 2:00 pm. Source: 2026 UQ Course Profile.

60%

From Seniors

学长留下的

基础信息谁都查得到,真正值钱的是过来人的经验。

学姐说

比你早一年的学长留下的真实经验 —— ChatGPT 给不了。

这门课还没有学长经验,你可以是第一个 —— 注册后在课内分享。

往年考点 / 踩坑

这门课暂无往年考点记录。

毕业生去向(整体)

下面是匠人学院毕业生整体去过的公司分布(来自脱敏校友证言)。这是全平台的总体去向,不代表选这门课的人一定去这些公司。

统计自 313 份脱敏校友证言

Deloitte

6 位校友

岗位:Graduate Program · Graduate Consulting · Platform Engineer · Web developer · Platform engineer

Zerologix

4 位校友

岗位:Frontend Dev · junior frontend developer · Front-end Developer · Full Stack Developer

Servian

4 位校友

岗位:Full-stack Developer · Data Engineer · Consultant

关于这块数据,我们说实话

雇主墙来自脱敏毕业生证言(testimonials)的整体分布,无法关联到具体学员或其所选课程;仅作为毕业生去向的总体社会证明展示。

我们没有"某位学长选了这门课、后来进了哪家公司"这种可查询的个人去向档案 —— 校友证言是脱敏的,无法关联到具体的人或他选过的课。所以这里只给整体分布,不给个人路径,不编。