Major in Data Science
The major in Data Science has an emphasis on statistics and computer science. It provides a strong foundation in the statistical aspects of data analysis (data collection, data mining, modelling and inference), as well as the principles of computer science (algorithms, data structures, data management and machine learning). The major is designed to give students an intellectual understanding of how to integrate and apply statistical and computing principles to solve large scale, realworld data science problems. It is suitable for students interested in a career in government or industry or who wish to pursue specialised graduate study.
In the first year of your degree your program depends upon your studies and results at VCE level.
For students without (or with a study score ≤ 29 in ) VCE Specialist Mathematics or equivalent

For students with a study score of 29 to 39 in VCE Specialist Mathematics or equivalent

For students with a study score ≥ 38 in VCE Specialist Mathematics or equivalent

MAST10005 Calculus 1 Stream
For students without (or with a study score ≤ 29 in ) VCE Specialist Mathematics or equivalent
Semester 1  MAST10005 Calculus 1  COMP10001 Foundations of Computing*  Elective  Breadth 
Semester 2  MAST10006 Calculus 2  MAST10007 Linear Algebra  COMP10002 Foundations of Algorithms  Breadth 
Second and third year is common to all students.
Notes:
* Students with previous computer programming experience may be able to skip this subject by passing an additional programming competency test.
MAST10006 Calculus 2 Stream
For students with a study score of 29 to 39 in VCE Specialist Mathematics or equivalent
Semester 1  MAST10006 Calculus 2  COMP10001 Foundations of Computing*  Elective  Breadth 
Semester 2  MAST10007 Linear Algebra  COMP10002 Foundations of Algorithms  Elective  Breadth 
Second and third year is common to all students.
Notes:
* Students with previous computer programming experience may be able to skip this subject by passing an additional programming competency test.
Accelerated Stream
For students with a study score ≥ 38 in VCE Specialist Mathematics or equivalent
Semester 1  MAST10008 Accelerated Mathematics 1  COMP10001 Foundations of Computing*  Elective  Breadth 
Semester 2  MAST10009 Accelerated Mathematics 2  COMP10002 Foundations of Algorithms  Elective  Breadth 
Second and third year is common to all students.
Notes:
* Students with previous computer programming experience may be able to skip this subject by passing an additional programming competency test.
Second and third year
Semester 3  MAST20004 Probability or MAST20006 Probability for Statistics 
COMP20007 Design of Algorithms  COMP20008 Elements of Data Processing  Breadth 
Semester 4  MAST20005 Statistics  INFO20003 Database Systems  Elective  Breadth 
Semester 5  MAST30025 Linear Statistical Models  COMP30027 Machine Learning  Elective  Breadth/Elective 
Semester 6  MAST30027 Modern Applied Statistics  MAST30034 Applied Data Science**  Elective  Breadth/Elective 
Notes:
** MAST30034 will be available from 2019 onwards. It will not be offered in 2018.