Interested in mastering big data and helping others to understand it? This is the course for you.
We are excited to be bringing the new Bachelor of Applied Data Science, and the Bachelor of Applied Data Science Advanced (Honours) to Monash University. Research and analysis with big datasets is making a positive impact on our daily lives across a very wide range of disciplines.
Our new Applied Data Science programs, available from 2020, will deal with the challenges that large bodies of data present to research, industries, and society.
These courses represent a key component of broader cross-faculty data science initiatives at Monash.
Data Science is one of the hottest topics in technology and is a highly in-demand field, but there is a shortage of skilled, qualified data scientists worldwide.
Our world-class staff and teaching environment will provide you with a globally recognised education and the skills to make a difference in the world of Data Science.
“In this data-dominated era, everything and everyone produces a digital paper trail. If businesses want to gain an edge, they need to be able to tap into those large, elusive data sets to make better decisions about how products are built, markets are found, clients and employees are supported, and sales are generated. Hence the need for data scientists.”
– Forbes
Upon successful completion of the degree, possible careers for graduates could include:
In a range of industries, including: Digital humanities, Consulting, Cybersecurity, Law, Scientific research, Marketing, Robotics, Engineering, Business analytics, Banking.
If you’re interested in mastering big data and helping others to understand it, this is the course for you. This program of study will provide you with the skills necessary to solve a wide range of problems. This is a specialist course which will develop your technical know-how in being able to approach data challenges.
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.
Semester 1
Data challenges 1
Discrete mathematics for computer science
Analysis of change or MTH1030 Techniques for modelling or MTH1035 Techniques for modelling (advanced)
Semester
2
Data challenges 2
Algorithms and programming fundamentals in python
Techniques for modelling or MTH2040 modelling
Semester 1
Data challenges 3
Introduction to computer science
Linear algebra with equations or MTH2222 Mathematics of uncertainty
Semester 2
Data challenges 4
Modelling for data analysis
Introduction to computational mathematics
Semester 1
Advanced data analysis
Applied deep learning
Random processes in the sciences and engineering or MTH3320 Computational linear algebra
Semester 2
Advanced data challenges (12 points)
Optimisation and operations research
*Choose from over 25 areas of study from a range of disciplines including physical sciences, sociology, anthropology, business or engineering.
VCE
English: Units 3 and 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 25 in Mathematical Methods (any) or Specialist Mathematics.
IB
English: Level 1.
Maths: Level 3.
Our VTAC Subject Adjustment Bonus
This rewards students studying more than one of the following Year 12 science subjects;
Algorithms (HESS), Biology, Chemistry, Environmental Science or Physics – this could improve your ranking and eligibility by providing additional points towards your ATAR aggregate.
This is an advanced degree program for those passionate about Data Science.
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.
Semester 1
Data challenges 1
Discrete mathematics for computer science
Analysis of change or MTH1030 Techniques for modelling or MTH1035 Techniques for modelling (advanced)
Semester 2
Data challenges 2
Algorithms and programming fundamentals in python
Techniques for modelling or MTH2040 modelling
Semester 1
Data challenges 3
Introduction to computer science
Linear algebra with equations or MTH2222 Mathematics of uncertainty
Semester 2
Data challenges 4
Modelling for data analysis
Introduction to computational mathematics
Semester 1
Advanced data analysis
Applied deep learning
Random processes in the sciences and engineering or MTH3320 Computational linear algebra
Semester 2
Advanced data challenges (12 points)
Optimisation and operations research
Semester 1
Research methods
Frontiers of data science
Semester 2
Industry research project (24 points)
*Choose from over 25 areas of study from a range of disciplines including physical sciences, sociology, anthropology, business or engineering.
VCE
English: Units 3 and 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 or Specialist Mathematics.
IB
English: Level 1.
Maths: Level 3+.
Future student enquiries:
Australian citizens, permanent residents and New Zealand citizens
T: 1800 MONASH (666 274)
E: future@monash.edu
monash.edu/study/contact
International students Australia freecall
T: 1800 181 838
T: +61 3 9903 4788 (outside Australia)
E: study@monash.edu
monash.edu/study/contact/international