Course Title: Dissertation Part B (Implementation)

Part A: Course Overview

Course Title: Dissertation Part B (Implementation)

Credit Points: 24.00


Course Code




Learning Mode

Teaching Period(s)


City Campus


145H Mathematical & Geospatial Sciences


Sem 2 2006,
Sem 1 2010,
Sem 2 2010,
Sem 1 2012,
Sem 1 2013,
Sem 1 2014,
Sem 1 2015


City Campus


171H School of Science


Sem 2 2017,
Sem 1 2018,
Sem 2 2018,
Sem 1 2019,
Sem 2 2019,
Sem 1 2020,
Sem 2 2020,
Sem 1 2021,
Sem 2 2021

Course Coordinator: Dr Amy Griffin

Course Coordinator Phone: +61 3 9925 2338

Course Coordinator Email:

Course Coordinator Location: Building 12, Level 12, Room 28

Pre-requisite Courses and Assumed Knowledge and Capabilities

GEOM2073 – Dissertation Part A (Preparation)

Course Description

This course is designed for students who wish to spread their dissertation over two semesters. The Dissertation, composed of the two courses Dissertation Part A – Preparation and Dissertation Part B – Implementation, is a major component of MC265 Master of Geospatial Science.   It provides you with the opportunity to develop your research expertise and knowledge in an area of geospatial science of particular interest. This course leads on from Dissertation Part A – Preparation. It is designed to guide you through the implementation of your prepared Dissertation plan. You will undertake any experimental work, database construction, data loading and analyses, evaluation, and final write up of your Dissertation. You will also present your project to an internal peer group audience (internal academic staff, other postgraduate students, and invited industry representatives).

Objectives/Learning Outcomes/Capability Development

This course contributes to the development of the following Program Learning Outcomes in MC265 (Master of Geospatial Science:

1.3 Identify and elaborate specialist bodies of knowledge in geospatial science.
1.4 Discern research directions and advances within geospatial science.

2.1 Apply standard and advanced techniques to solve a range of measurement and data management problems.

2.3 Be proficient in the recording, storage, management and reporting of spatial information.

3.1 Design and implement solutions to complex problems in survey measurement and land development.

3.2 Interpret and critically analyse results and make informed judgments on the appropriateness of solutions.

3.3 Apply critical and analytical skills in a scientific and professional manner.

4.1 Communicate effectively by means of oral, written and graphical presentations to peers and a wider audience.

6.1 Be self-motivated and personally responsible for your actions and learning.

6.2 Professionally manage and use information.   

On completion of this course you should be able to:

  1.  Identify a suitable dissertation research topic relating to geospatial science.
  2. Clearly state and elaborate the objectives, research question/s and proposed outcomes for the dissertation.
  3. Synthesize and critically analyse existing literature on your particular project
  4. Elucidate and justify the proposed method for undertaking the dissertation.
  5. Systematically and competently implement the method identified in the dissertation.
  6. Produce final dissertation outcomes of a high professional standard.
  7. Elucidate and defend your Dissertation to a peer audience (including staff, industry representatives, and other students).

Overview of Learning Activities

Working to a project timeline
Liaising with project supervisor

Liaising with industry partner (if applicable)

Presentation at an internal seminar series


Overview of Learning Resources

As a student enrolled in this course at RMIT University you can access the extensive learning resources provided in the school and in the library, such as books, journals and other course-related materials (electronic and paper-based) The library offers extensive services and facilities, geared to assist you in completing your studies successfully.

A library subject guide is available at:

Overview of Assessment

This course has no hurdle requirements.

  1. Assessment task (5%): Submission of a 1-page project brief consisting of the dissertation topic, the student and supervisor name, a short description of the dissertation problem (~400 words), and a list of 5 relevant scientific references. (CLO 1)
  2. Assessment task (10%): Submission of a research proposal consisting of research project aims, research questions, literature review, methods to be adopted and rationale for their use, and references to scientific publications that inform the research. (CLOs 2-4)
  3. Assessment task (10%): A 10-minute oral presentation that summarises the research's aims, research questions, approach, results, and conclusions. (CLOs 2-7)
  4. Assessment task (75%): Submission of the research dissertation. This can also be submitted as a research paper with approval from the student’s supervisor. (CLOs 2-6)