UnitLevel 4Undergraduate and Postgraduate

ADS4010 Frontiers of data science

Faculty of Science

ADS4010 Frontiers of data science is a level 4, 6-credit-point, undergraduate and postgraduate unit from the Faculty of Science, offered in 2027 in Semester 1 at Clayton. It has no prerequisites.

Credit points
6
Offered in 2027
Semester 1
Clayton
Assessment
No exam
2 tasks

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Requisites

Before ADS4010

No prerequisites or corequisites besides the enrolment rules below.

After ADS4010

No unit lists ADS4010 as a prerequisite in the 2027 handbook.

Enrolment rules

PREREQUISITE:  Enrolment in the Bachelor of Applied Data Science Advanced (Honours) and completion of 144 credit points of study.

Overview

This unit will introduce you to current topical research in Data Science applications and methods. Through weekly expert seminars, it will provide broad coverage of the issues, concepts, methods and techniques associated with data science research. You will then develop your independent research and written communication skills through short critical reviews of topics discussed in seminars and a major essay based on one of these topics. Knowledge acquired from this unit will prepare you to conduct and communicate your own research.

Offerings in 2027

Teaching periodCampusMode
First semesterClaytonOn campus

Assessment

  • Critical reviews of research topics (5)Written
    50%
  • Major essay on a chosen research topicWritten
    50%

Assessment details may change. Please refer to the assessment information in Moodle closer to the start of the teaching period.

Learning outcomes

When you finish this unit, you should be able to:

  1. 1

    Understand and critically analyse a selection of research topics in data science;

  2. 2

    Summarise, evaluate and synthesise current trends and gaps in relevant literature;

  3. 3

    Undertake independent research on data science topics;

  4. 4

    Summarise and evaluate your research findings in written reports.

Workload and teaching

  • Seminars12 hours
  • Teaching approachActive learning

The weekly workload requirements will be:

  • One hour of attendance at weekly seminars and
  • Approximately 11 hours per week of independent study

This unit aims to introduce topical research in Data Science to advanced students in preparation for the major project that they will complete in the second semester of the Honours year.

You will attend weekly seminars given by experts in the field, where you are introduced to research topics and provided with reading material on the topic (LO1-LO2). You will need to submit as assignments regular critical reviews of the research topics presented in the seminars (LO3-LO4). The final assessment will consist of a major essay on one particular topic from the seminars (LO3-LO4).

Contacts

Unit Coordinators
Dr Hassan Fallahgoul
Chief Examiners
Dr Hassan Fallahgoul

Common questions

What are the prerequisites for ADS4010?

ADS4010 has no prerequisites, but enrolment rules apply.

When is ADS4010 offered?

In 2027, ADS4010 runs in Semester 1 at Clayton.

Does ADS4010 have an exam?

No. ADS4010 has 2 assessment tasks and no exam.

More details

Credit points
6
Level
4
Study level
Undergraduate and Postgraduate
Faculty
Faculty of Science
Type
Coursework
EFTSL
0.125
Student contribution
SCA Band 2
Study abroad
Not available
Handbook years
20232024202520262027