Applied Data Science Advanced

This four-year specialist course brings together studies in IT and mathematics in a series of interdisciplinary problem-solving challenges.

Research and analysis into big data have the capacity to make a positive impact on our daily lives.This degree will give you the skills necessary to provide solutions to a wide range of problems.

Through selected streams, you’ll develop your passion for the physical sciences, sociological or anthropological studies, business or Engineering.

Working in groups and on individual projects, you’ll bring together key skills in IT and mathematics, and apply these to real-life projects.For further information visit the Applied Data Science information page.

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 they 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 their 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, students realise the application of information technology and mathematical knowledge through authentic projects. Through designed experiences, they will learn to integrate a broad range of skills including collaborative work practices, communication, leadership and entrepreneurship to make them 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 students 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 their 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 their 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. Your 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.

Qualifications

All applicants must satisfy the VCE subject prerequisites demonstrating high performance in Year 12 or equivalent in English and in mathematical methods or specialist mathematics.

Recent secondary education

ATAR requirements

ATAR

93.05

Note Lowest Selection Rank to which an offer was made

90

Note Monash guarantee for 2021 entry

86.65

Note Lowest ATAR to which an offer was made ATAR explained Monash is committed to admissions transparency

Subject prerequisites

All applicants must satisfy the following prerequisites or their equivalents.

Australian VCE subjects

English

Units 3 & 4: a study score of at least 30 in English (EAL) or 25 in English other than EAL

Maths

Units 3 and 4: a study score of at least 30 in Mathematical Methods (any) or Specialist mathematics

Sciences/Other

N/A

VET Study

All applicants must satisfy the VCE subject prerequisites demonstrating high performance in Year 12 or equivalent in English and in mathematical methods.

Entire academic record: This course uses the entire academic record as part of its selection considerations.

Higher education

All applicants must satisfy the VCE subject prerequisites demonstrating high performance in Year 12 or equivalent in English and in mathematical methods.

Entire academic record: This course uses the entire academic record as part of its selection considerations.

Work and life experience

Multiple pathways to this course

Applicants who have successfully completed Year 12 are eligible to apply for this course.

Applicants with no formal secondary or tertiary qualifications are not eligible to apply for this course. This course uses the entire academic record as part of its selection considerations.

There are many ways to gain entry to a course at Monash. If you don't meet our entry requirements, there are pathways to help. More about alternative pathways...

Additionally, we recognise that some applicants may have experienced difficulties that have disadvantaged them when applying for university. We offer a range of special admissions schemes that may help you gain entry to your chosen course, including pathways for Australian Aboriginal and/or Torres Strait Islander students. .More about special admissions schemes...

Alternative qualifications and prerequisites

For other domestic and international qualification entry requirements and scores for this course use the study credit and admissions eligibility search.

English requirements

Applicants must also meet the English language requirements.

University entrance requirements

Minimum entrance requirements for admission to Monash University Australia.

Learning outcomes

These course outcomes are aligned with the Australian Qualifications Framework level 8 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.