ACTL3142 Statistical Machine Learning for Risk and Actuarial Applications (UNSW Sydney): rated 3.5/5 overall across 6 reviews collected on UNSW Wall.
ACTL3142 is a UNSW Sydney course taught by the UNSW Business School in School of Risk and Actuarial Studies. This page brings together its handbook details and what UNSW students say about it.
Review data updated 2026-10-24.
Chinese title: 风险与精算应用的统计机器学习
Type: Undergraduate course
Credit points: 6
Subject area: School of Risk and Actuarial Studies
Faculty: UNSW Business School
Level: Undergraduate Level 3
Handbook year: 2026
This course introduces students to statistical learning techniques and their application to actuarial analysis and decision-making. It covers various aspects of data analysis, including: exploratory data analysis; classification and prediction using regression and generalized linear models; descriptive, inferential, and predictive analysis and models; statistical and machine learning, including supervised and unsupervised learning.
ACTL3142 has 6 scored reviews: overall 3.5/5 (all out of 5; higher difficulty means harder).
Sources: 6 Reddit comments that an AI model judged to be reviewing this course (average would-recommend 3.5/5).
On Reddit: "ACTL3142 Statistical Machine Learning (23T2) Content Difficulty: 2/5 Marks/Exam Difficulty: 2/5 Mark: 87HD Overall rating: 4/5 Assessments: 10% discussion question formative, 30% assignment, 60% exam This course was actually quite a useful course. It taught all the main models a…"
On Reddit: "I think the requirement was that you needed to complete 4x level 3 ACTL courses to be eligible for graduation. In my opinion, the easiest to hardest subjects are: 1. ACTL3142 (barely any maths, just need to be good in R and yapping) 2. ACTL3162 (teaching staff is really helpful …"
The course panel on UNSW Wall shows every review and discussion in full.
Q: Is ACTL3142 worth taking?
A: Averaged over 6 reviews: overall 3.5/5.
Q: Which faculty teaches ACTL3142, and when is it offered?
A: ACTL3142 is taught by the UNSW Business School. Check the official handbook for the current year.
UNSW Wall is an independent student community and is not affiliated with UNSW Sydney.