Mathematics and Statistics Learning Centre
Welcome to the Mathematics and Statistics Learning Centre home page  the first port of call for our current undergraduate students and prospective students for any of our programs.
We aim to prepare students for professional careers, not only in mathematics and statistics, but also across the range of pure and applied sciences, commerce, engineering, industry and technology. Our undergraduate subjects train you in essential skills such as logical reasoning, sophisticated problem solving, research skills and oral and written communication. These transferable skills are invaluable for professional life in any discipline.
Oasis is our unified home for mathematics and statistics student support, both online and in person. Oasis currently includes mathSpace, mathAssist, learning resources, and reading packs.
The School's Vacation Scholarship Program provides selected students (from Melbourne or elsewhere) with a supervised introduction to research in mathematics or statistics. It is particularly recommended for students seriously considering University of Melbourne Mathematics and Statistics postgraduate research programs (eg. MSc, RHD).
The Melbourne University Mathematics and Statistics Society, also known as MUMS, was formed to represent maths and stats students at Melbourne University. They welcome anyone else with an interest in maths or stats. They organise a variety of activities, including seminars, trivia competitions, barbecues and of course the annual Puzzle Hunt and Maths Olympics. They also put out Paradox magazine at regular intervals.
Contact
Dr. Chris Duffy
christopher.duffy@unimelb.edu.au
Mathematics and Statistics Learning Centre
School of Mathematics and Statistics
Faculty of Science
The University of Melbourne
Victoria 3010, Australia
Tel: +61 (0)3 8344 0010
Fax: +61 (0)3 8344 4599

Teaching Associate
Email: carmstro@unimelb.edu.au

Teaching Associate
Email: james.clift@unimelb.edu.au

Teaching Associate
Email: dajica@unimelb.edu.au

Academic Manager
Phone: +61383441327
Email: christopher.duffy@unimelb.edu.au 
Lecturer (Outreach)
Phone: +61383446376
Email: paul.fijn@unimelb.edu.au 
Teaching Associate
Email: julierf@unimelb.edu.au

Teaching Associate
Email: javeria.jalal@unimelb.edu.au

Teaching Associate

Teaching Associate

Teaching Associate
Phone: +61390356432
Email: meirian.lovelace@unimelb.edu.au 
Teaching Associate
Email: matthew.mack@unimelb.edu.au

Lecturer
Phone: +61383448051
Email: rjmail@unimelb.edu.au 
Teaching Associate
Email: rekha.mathur@unimelb.edu.au

Lecturer
Phone: +61383443879
Email: a.morphett@unimelb.edu.au 
Academic Support and Administration
Phone: +61383444541
Email: rosariap@unimelb.edu.au 
Teaching Associate

Teaching Associate
Email: aratiu@unimelb.edu.au

Tutor
Email: ysaikai@unimelb.edu.au

Teaching Associate
Email: tian.sang@unimelb.edu.au

Senior Tutor
Phone: +61390354455
Email: alba.santingarcia@unimelb.edu.au 
Teaching Associate
Email: nicholas.sgro@unimelb.edu.au

Teaching Associate
Email: ritu.taneja@unimelb.edu.au

Senior Tutor
Phone: +61383443878
Email: trithang.tran@unimelb.edu.au 
Teaching Associate
Email: qwang@unimelb.edu.au

Teaching Associate
Email: paul.williams@unimelb.edu.au

Teaching Associate
Email: jiami.zhang@unimelb.edu.au

Teaching Associate
Email: jy.zhang@unimelb.edu.au
Tutoring with the School of Mathematics and Statistics
Each year, the School of Mathematics and Statistics hires casual tutors to deliver tutorials, labs, workshops and undertake assignment marking. The roles and responsibilities of casual tutors in the School of Mathematics and Statistics is outlined in the following position descriptions. These position descriptions outline selection criteria and other requirements for these positions.
Tutor (Tutorial/Lab/Workshop)
Tutor (Marking)
Successful applicants are required to hold a valid Victorian Working with Children Check (WWWC).
In most cases, tutors who are successful in attaining a tutor position to deliver a tutorial will also be assigned a marking position.
See below for information about specific semesters, including important dates and tentative available positions.
For questions about tutoring in the School of Mathematics and Statistics please see the MSLC Contact page for contact details.

Semester 1, 2023
Applications for tutoring in Semester 1 2023 are welcome from past and prospective tutors. Priority will be given to current University of Melbourne postgraduate students. In most subjects, staff who are hired to deliver tutorials are also responsible for marking.
On Thursday January 5 (10am  11am, JH Michell Theatre) there will be an inperson information session on casual teaching in the School of Mathematics and Statistics. This session will outline the roles and responsibilities of tutors in the school and outline the hiring process. This session is intended for postgraduate students and others who have been employed as a casual tutor with the school in the past. Attendance at this session is not required for prospective casual staff to be awarded a position, nor does attending this session guarantee a position.
Important Dates
Information Session on Casual Teaching in the School of Mathematics and Statistics Thursday 5 January, 10am  11am (JH Michell Theatre) Applications through the Casual Tutor Recruitment System (CTRS) Monday 9 January  Friday 20 January Inperson selection interviews (new tutors only) Monday 30 January/Tuesday 31 January Announcement of outcome of applications Friday 3 February Mandatory training for new tutors Wednesday 22 February, 9:00am  12:30pm
Wednesday 15 March, 6:30pm  8:30pm (Zoom meeting)
Wednesday 29 March, 4pm  6pmMandatory subject meetings Thursday 23 February  Wednesday 1 March
(dates and times vary for particular subjects)Semester 1 Teaching Period Monday February 27  Friday 26 May Applications are welcome via the Casual Tutor Recruitment System (CTRS). All past applicants are recommended to regularly update their CTRS profile to reflect their current experiences, student status and qualifications.
Available Positions (tentative)
Please see the University of Melbourne Handbook for more information on subjects below. The number of positions available for each subject will depend on enrolments.
Calculus 1 (MAST10005)
Tutors in this subject are assigned to tutorials (timetabled as p01 classes) or workshops (timetabled as w01 classes).
Tutorials are small group active learning classes. Students work in groups, on whiteboards, while the tutor actively provides feedback to each group throughout the lesson. Tutors are expected to mark assignments for students in their tutorials. Workshops consist of larger groups, where students practice core skills of the subject. Depending on class size, there may be one or two tutors assigned to a workshop.Calculus 2 (MAST10006)
Tutors in this subject are assigned to tutorials (timetabled as p01 classes).
Tutorials are small group active learning classes. Students work in groups, on whiteboards, while the tutor actively provides feedback to each group throughout the lesson. Tutors are expected to mark assignments for students in their tutorials.
NB: This subject is piloting our NextGen tutorial rooms, which replaces whiteboards with digital touch screen whiteboards in some classes.Linear Algebra (MAST10007)
Tutors in this subject are assigned to tutorials (timetabled as p01 classes) or computer labs (timetabled as p02 classes).
Tutorials are small group active learning classes. Students work in groups, on whiteboards, while the tutor actively provides feedback to each group throughout the lesson. Tutors are expected to mark assignments for students in their tutorials. In computer labs, students learn to use MATLAB.Accelerated Mathematics 1 (MAST10008)
Tutors in this subject are assigned to tutorials (timetabled as p01 classes) or computer labs (timetabled as p02 classes).
Tutorials are small group active learning classes. Students work in groups, on whiteboards, while the tutor actively provides feedback to each group throughout the lesson. Tutors are expected to mark assignments for students in their tutorials. In computer labs, students learn to use MATLAB.Experimental Design and Data Analysis (MAST10011)
Tutors in this subject are assigned to twohour NextGen tutorials (timetabled as consecutive p01 and p02 classes).
NextGen Tutorials are small group active learning classes, that make use of digital touch screen whiteboards. Students work in groups, on NextGen digital whiteboards, while the tutor actively provides feedback to each group throughout the lesson. Students use R in these classes. Tutors are expected to mark assignments for students in their tutorials.Introduction to Mathematics (MAST10012)
Tutors in this subject are assigned to tutorials (timetabled as p01 and p02 classes).
Tutorials are small group active learning classes. Students work in groups, on whiteboards, while the tutor actively provides feedback to each group throughout the lesson. Students in this subject attend two tutorials per week – one tutorial on Monday/Tuesday, and another on Thursday/Friday.
Tutors are expected to mark assignments for students in their Monday/Tuesday tutorials.Linear Algebra: Advanced (MAST10022)
Tutors in this subject are assigned to onehour NextGen tutorials (timetabled as p01 and p02 classes).
NextGen Tutorials are small group active learning classes, that make use of digital touch screen whiteboards. Students work in groups, on NextGen digital whiteboards, while the tutor actively provides feedback to each group throughout the lesson. Students use MATLAB in these classes. Students in this subject attend two tutorials per week – one tutorial on Monday/Tuesday/Wednesday morning, and another on Wednesday afternoon/Thursday/Friday. Tutors are expected to mark assignments for students in their Monday/Tuesday/Wednesday morning tutorials.Probability (MAST20004)
Tutors in this subject are assigned to 2hour tutorial/computer lab classes (timetabled as consecutive p01 and p02 classes). The first hour of the class is a tutorial and the second hour of the class is a computer lab class.
Tutorials are small group active learning classes. Students work in groups, on whiteboards, while the tutor actively provides feedback to each group throughout the lesson. Tutors are expected to mark assignments for students in their tutorials. In computer labs, students learn to use R.Probability for Statistics (MAST20006)
Tutors in this subject are assigned to 2hour tutorial/computer lab classes (timetabled as consecutive p01 and p02 classes). The first hour of the class is a tutorial and the second hour of the class is a computer lab class.
Tutorials are small group active learning classes. Students work in groups, on whiteboards, while the tutor actively provides feedback to each group throughout the lesson. Tutors are expected to mark assignments for students in their tutorials. In computer labs, students learn to use R.Vector Calculus (MAST20009)
Tutors in this subject are assigned to tutorials (timetabled as p01 classes).
Tutorials are small group active learning classes. Students work in groups, on whiteboards, while the tutor actively provides feedback to each group throughout the lesson. Tutors are expected to mark assignments for students in their tutorials.Real Analysis (MAST20026)
Tutors in this subject are assigned to tutorials (timetabled as p01 and p02 classes).
Tutorials are small group active learning classes. Students work in groups, on whiteboards, while the tutor actively provides feedback to each group throughout the lesson. Students in this subject attend two tutorials per week – one tutorial on Monday/Tuesday, and another on Thursday/Friday.
Tutors are expected to mark assignments for students in their Monday/Tuesday tutorials.Engineering Mathematics (MAST20029)
Tutors in this subject are assigned to tutorials (timetabled as p01 classes).
Tutorials are small group active learning classes. Students work in groups, on whiteboards, while the tutor actively provides feedback to each group throughout the lesson. Tutors are expected to mark assignments for students in their tutorials.Analysis of Biological Data (MAST20031)
Tutors in this subject are assigned to tutorials (timetabled as T01 classes) or computer labs (timetabled as p01 classes).
Tutorials are active learning seminars, cotaught with a lecturer and two tutors. Computer labs are are cotaught with two tutors. Students use R in these classes. Tutors are expected to mark assignments for students in their computer lab classes.Vector Calculus: Advanced (MAST20032)
Tutors in this subject are assigned to tutorials (timetabled as p01 classes).
Tutorials are small group active learning classes. Students work in groups, on whiteboards, while the tutor actively provides feedback to each group throughout the lesson. Tutors are expected to mark assignments for students in their tutorials.Real Analysis: Advanced (MAST20033)
Tutors in this subject are assigned to tutorials (timetabled as p01 and p02 classes).
Tutorials are small group active learning classes. Students work in groups, on whiteboards, while the tutor actively provides feedback to each group throughout the lesson. Students in this subject attend two tutorials per week – one tutorial on Monday/Tuesday, and another on Thursday/Friday.
Tutors are expected to mark assignments for students in their Monday/Tuesday tutorials.Algebra (MAST30005)
Tutors in this subject are assigned to tutorials (timetabled as p01 classes).
Tutorials are small group active learning classes. Although larger than our first and second year tutorials, students are still encouraged to work in groups on whiteboards, where the learning spaces allow for this. Tutors are expected to mark assignments for students in their tutorials.Graph Theory (MAST30011)
Tutors in this subject are assigned to tutorials (timetabled as p01 classes).
Tutorials are small group active learning classes. Although larger than our first and second year tutorials, students are still encouraged to work in groups on whiteboards, where the learning spaces allow for this. Tutors are expected to mark assignments for students in their tutorials.Techniques in Operations Research (MAST30013)
Tutors in this subject are assigned to tutorials (timetabled as p01 classes).
Tutorials are small group active learning classes. Although larger than our first and second year tutorials, students are still encouraged to work in groups on whiteboards, where the learning spaces allow for this. Tutors are expected to mark assignments for students in their tutorials.Probability for Inference (MAST30020)
Tutors in this subject are assigned to tutorials (timetabled as p01 classes).
Tutorials are small group active learning classes. Although larger than our first and second year tutorials, students are still encouraged to work in groups on whiteboards, where the learning spaces allow for this. Tutors are expected to mark assignments for students in their tutorials.Complex Analysis (MAST30021)
Tutors in this subject are assigned to tutorials (timetabled as p01 classes).
Tutorials are small group active learning classes. Students work in groups, on whiteboards, while the tutor actively provides feedback to each group throughout the lesson. Tutors are expected to mark assignments for students in their tutorials.Linear Statistical Models (MAST30025)
Tutors in this subject are assigned to computer labs (timetabled as p01 classes).
Computer Labs are small group active learning classes. Students use statistical software in these classes. Tutors are expected to mark assignments for students in their classes.Applied Mathematical Modelling (MAST30030)
Tutors in this subject are assigned to tutorials (timetabled as p01 classes).
Tutorials are small group active learning classes. Although larger than our first and second year tutorials, students are still encouraged to work in groups on whiteboards, where the learning spaces allow for this. Tutors are expected to mark assignments for students in their tutorials.Biological Modelling and Simulation (MAST30032)
Tutors in this subject are assigned to computer labs (timetabled as p01 classes).
Computer Labs are small group active learning classes. Students use statistical software in these classes. Tutors are expected to mark assignments for students in their classes.Optimisation for Industry (MAST90014)
Tutors in this subject are assigned to computer labs (timetabled as p01 classes).
Computer Labs are small group active learning classes. Students use a range of software to solve optimisation problems. Tutors are expected to mark assignments for students in their classes.Thinking and Reasoning with Data (MAST90044)
Tutors in this subject are assigned to computer labs (timetabled as p01 classes).
Computer Labs are small group active learning classes. Students use statistical software in these classes. Tutors are expected to mark assignments for students in their classes.Systems Modelling and Simulation (MAST90045)
Tutors in this subject are assigned to computer labs (timetabled as p01 classes).
Computer Labs are small group active learning classes. Students use statistical software in these classes. Tutors are expected to mark assignments for students in their classes.Elements of Probability (MAST90057)
Tutors in this subject are assigned to 2hour tutorial/computer lab classes (timetabled as consecutive p01 and p02 classes). The first hour of the class is a tutorial and the second hour of the class is a computer lab class.
Tutorials are small group active learning classes. Students work in groups, on whiteboards, while the tutor actively provides feedback to each group throughout the lesson. Tutors are expected to mark assignments for students in their tutorials. In computer labs, students learn to use R. The subject content is the same as MAST20004 Probability.Data and Decision Making (MAST90072)
Tutors in this subject are assigned to computer labs (timetabled as p01 classes).
Computer Labs are small group active learning classes. Students use statistical software in these classes. Tutors are expected to mark assignments for students in their classes.Methods of Mathematical Statistics (MAST90105)
Tutors in this subject are assigned to computer labs (timetabled as p01 classes) or workshops (timetabled as w01 classes).
Computer Labs are small group active learning classes. Students use statistical software in these classes. Workshops are problem based classes. Tutors are expected to mark assignments for students in their workshops.Inference for SpatioTemporal Processes (MAST90122)
Tutors in this subject are assigned to computer labs (timetabled as p01 classes).
Computer Labs are small group active learning classes. Students use statistical software in these classes. Tutors are expected to mark assignments for students in their classes.Statistical Modelling for Data Science (MAST90139)
Tutors in this subject are assigned to computer labs (timetabled as p01 classes).
Computer Labs are small group active learning classes. Students use statistical software in these classes. Tutors are expected to mark the assignments and computer lab test for students in their classes. As a 25 point subject, tutors in this subject will have a larger marking load.Statistics for Bioinformatics (BINF90001)
Tutors in this subject are assigned to computer labs (timetabled as p01 classes).
Computer Labs are small group active learning classes. Students use statistical software (R in particular) in these classes. Tutors are expected to mark assignments for students in their classes. 
Semester 2, 2023
Applications for tutoring in Semester 2 are welcome from past and prospective tutors. Priority will be given to current University of Melbourne postgraduate students.
Important Dates
Applications through the Casual Tutor Recruitment System (CTRS) Monday 29 May  Wednesday 7 June Inperson selection interviews (new tutors only) Monday 26 June/Tuesday 27 June Announcement of preliminary outcome of applications Friday 30 June Mandatory training for new tutors Wednesday 19 July, 9:00am12:30pm
Wednesday 9 August, 6:30pm8:30pm (Zoom meeting)
Wednesday 23 August, 5:15pm7:15pmMandatory subject meetings Thursday 20 July  Wednesday 26 July (dates and times vary for particular subjects) Semester 2 Teaching Period Monday July 24  Friday 19 October Applications are welcome via the Casual Tutor Recruitment System (CTRS). All past applicants are recommended to regularly update their CTRS profile to reflect their current experiences and qualifications.

Summer semester, 2024
Due to the nature of the summer semester, summer tutoring positions are only available to tutors who have recently tutored. Applications from new tutors will not be considered.
Important Dates
Applications through the Casual Tutor Recruitment System (CTRS) TBA Announcement of outcome of applications TBA Summer Teaching Period TBA Applications are welcome via the Casual Tutor Recruitment System (CTRS). All past applicants are recommended to regularly update their CTRS profile to reflect their current experiences and qualifications.
We provide various support resources to help students learn mathematics and statistics, and to help teachers teach it.

mathSpace  a place to study with friends
The mathSpace is a social learning space for students to collaborate on their mathematical ideas. Facilities are provided for students to study and work on mathematics together. The mathSpace is located on the ground floor of Peter Hall building and is open during normal building access hours.

mathAssist  dropin help for learning mathematics
mathAssist is a dropin space for Mathematics and Statistics students to develop their mathematical understanding with support from Learning Assistants (formerly known as tutoronduty). There is a particular emphasis on remedying gaps in students background or assumed knowledge.
While students are encouraged to seek help with concepts they are having trouble with, mathAssist is not a place to request answers or solutions. Rather, our aim is to aid students in developing critical thinking skills to become better mathematical learners and practitioners and to make sure that students have the assumed knowledge they require for the subjects they are taking.
Your Learning Assistants can help with:
 Problem solving skills
 Critical thinking skills
 Studying techniques
 Fostering collaboration opportunities
 Background knowledge
 Obtaining additional study resources
When and Where: In semester 1 2023, mathAssist runs 12pm  2pm every weekday (Monday  Friday) during semester, starting in week 2 and excluding the midsemester break. It is held in person in the mathAssist room, ground floor, Peter Hall building.
 Reading packs  reading material for prerequisite knowledge

Learning Resources  for academics and teachers
The Learning and Teaching resources below have been developed by the MSLC to support teaching & learning in the School.
 Conceptual Learning with Interactive Applets  applets for calculus, probability, statistics and other areas
 Chocs and Blocks  an interactive activity investigating sampling and variability
 Sudoku experiment  a tutorial and lab activity covering study design and data collection
The Mathematics and Statistics Learning Centre conducts research into teaching and learning in addition to its major responsibilities supporting the undergraduate teaching program of the School.
Our research aims to support innovations in teaching and learning, including the implementation of new technologies. As part of this research program we run an Occasional Seminar Series, which incorporates talks by Centre staff as well as invited external speakers. If you are interested in giving a talk as part of this Series, please email Dr Robert Maillardet, the Series Coordinator, (rjmail@unimelb.edu.au). For seminar announcements, subscribe to the mailing list here.
These pages contain information about undergraduate mathematics and statistics options to help you plan your course. Please choose from the options below.

Firstyear Mathematics and Statistics
Information for students choosing firstyear subjects.

Majors in mathematical and statistical sciences
Information for students wishing to specialise in mathematics, statistics and related areas.

Diploma in Mathematical Sciences
Study mathematics and statistics alongside another major with the concurrent diploma.

Mathematics and Statistics electives or breadth
Study mathematics and statistics to complement another discipline.
For enquiries about  Please contact 

Course advice for current students  mslcapprovals@unimelb.edu.au 
Prerequisite waivers or approval to enrol in firstyear mathematics and statistics subjects  mslcapprovals@unimelb.edu.au 
The Calculus and Probability Online course  onlinecalcprob@unimelb.edu.au 
University of Melbourne Extension Program (UMEP) Mathematics  msmslcumep@unimelb.edu.au 
Tutoring in the School of Mathematics and Statistics  Chris Duffy, christopher.duffy@unimelb.edu.au 
Any other enquiries  Rosie Pingitore, rosariap@unimelb.edu.au 