Overview

We live in a time where information and knowledge have never been more abundant.  From industry leaders and NGOs to policy makers, from educators to research specialists, the decisions that shape our future will rely on graduates who can extract meaning from large volumes of data and transmit it to … For more content click the Read More button below.

Notes

You can enrich your degree to hone your academic and professional skills with a range of flagship rich educational experiences. These flagship rich educational experience units may be credited in place of your discipline specific electives (up to 6 credit points) if approved by the faculty, or alternatively utilising your free electives. There are both 6 and 12 credit point unit options available.*

*If you are enrolled in a double degree there may be space available in the non-science side of your double degree to undertake flagship rich educational experiences. For information on eligible double degree combinations please see Flagship Rich Educational Experiences.

Mode and location

On campus

Learning outcomes

These course outcomes are aligned with the Australian Qualifications Framework and Monash Graduate Attributes.

Upon successful completion of this course it is expected that you will be able to:

1.

demonstrate advanced knowledge and technical skills in data science

2.

design, implement and apply methods for capturing, managing and analysing data

3.

listen, understand, and communicate persuasively to a variety of audiences using a variety of formats

4.

apply critical thinking and problem solving strategies to develop efficient solutions to a range of authentic challenges

5.

develop leadership and enterprising skills to create and implement effective solutions

6.

develop multicultural literacy and knowledge and apply these across a variety of industries that may include government, academic, private and social-good enterprises

7.

demonstrate an understanding of the importance of leadership, social responsibility, ethics and mentoring

8.

apply research methodologies to conduct significant independent research.

Structure

The course develops through theme studies in data challenges, techniques drawn from information technologies and mathematics, and applied studies. You will learn to apply the knowledge you gain in specialised information technology and mathematics studies to a series of projects. These will come together in the Honours research project unit in the fourth year of the course. You will also develop discipline specific skills in selected areas of study.

Part A. Data challenges 
These studies will develop your analytical skills and advance your ability to apply key information technology and mathematical concepts and methods. These skills will be elaborated through studio-based learning using authentic case studies sourced from industry partners, and with examples drawn from STEM areas, business, law, the humanities and social sciences. Working in small teams or as individuals, you will realise the application of information technology and mathematical knowledge through authentic projects. Through designed experiences, you will learn to integrate a broad range of skills including collaborative work practices, communication, leadership and entrepreneurship to make you ready to approach the professions of the future.

Part B. Techniques for data science 
Through this theme you will gain the technical foundation that underpins this program. You will acquire knowledge and skills in mathematics and the capacity to tackle challenging problems in a variety of situations. Through core data science studies, you will also attain the skills needed to effectively use, develop and manage complex data. These two areas are critical for tackling the diverse problems encountered in Part A of the course.

Part C. Applied studies 
These studies will provide the foundation required to advance cross-disciplinary analytical thought. You will undertake a sequence of study in a discipline. The selection of studies available will ensure you can explore new and diverse areas and develop core strengths in studies that relate to data applications. In addition to the disciplinary expertise, you will develop an appreciation for the culture of your selected discipline, the development of ideas in a given subject area, and the contexts in which this is applied. Data applications relating to these subjects can then be incorporated through the learning experiences across Parts A and D.

Part D. Advanced practice 
This is the culmination of the course. You will synthesise the knowledge acquired during the program in an individual research project. You will be able to apply your skills to a real life project sourced from a variety of sectors. In addition, you will acquire valuable research skills and be able to demonstrate your capacity for research with some level of independence. The project will be supported by research training and you will expand your knowledge of data science by gaining exposure to cutting edge techniques through an advanced unit in data science.

Part E. Free elective 

This will enable you to further develop your technical skills or extend your knowledge in your selected applied studies. Alternatively you can select units from across the university in which you are eligible to enrol.

Course progression map

The course progression map provides guidance on unit enrolment for each semester of study.

Requirements
192 credit points

Rules
Part C. Applied studies 24 credit points
Part E. Free elective study 24 credit points

Alternative exit(s)

You may be eligible to exit the course early and apply to graduate with a Bachelor of Applied Data Science (S2010) after three years and completion of 144 credit points of study, provided you have satisfied the requirements for that award during your enrolment in this course.

Progression to further studies

Successful completion of this course may provide a pathway to the Master of Data Science (S6004) or the Master of Mathematics (S6003).

Successful completion of this course may also provide a pathway to a graduate research degree.

Organisational contact information

Telephone: 1800 MONASH (1800 666 274)
Send a question through ask.monash