Monash University Malaysia · 2026 Semester 1

Selangor · AUMonash University Malaysia Every unit we cover, mapped.

AskSia publishes full, exam-focused study guides for Monash University Malaysia units — each cross-checked against the public 2026 handbook. Pick a unit below for its exam topics, key concepts and assessment breakdown.

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3 published study guides·Bandar Sunway, Selangor

Monash University Malaysia · The Profile from the AskSia Library · 2026 S1

REAL
2026 S1

what students actually study ✦

Most-studied unitsstudy material

MAT9004Mathematical foundations for data science and AI194

FIT5057Project management150

Faculty coverageof guides

2IT67%

1Management33%

§ Coverage & insights

What AskSia covers at Monash University Malaysia — real numbers.

Counted from real data — the AskSia Library and Monash University Malaysia's public 2026 handbook. No estimates, no invented stats.

published guides

Published guides by faculty

IT2

Management1

By level

Postgraduate2

Undergraduate1

§ Assessment & exams

How Monash University Malaysia units are assessed — and when it counts.

Real assessment structure for every published unit, taken from each unit's public 2026 outline. 2 of 3 have a final exam · 1 coursework-only.

FIT1043

Final exam

Introduction to data science

50% coursework (10% in-semester test + 20% + 20% assignments) and a 50% scheduled final eExam (2h10m, 15 MCQ + 25 short-answer). Threshold hurdles: ≥45% on the final, ≥45% on in-semester assessment, and an overall mark ≥50% to pass.

FIT5057

Coursework only

Project management

100% coursework — two project assignments (40% + 40%) and weekly quizzes (20%). No final exam.

MAT9004

Final exam

Mathematical foundations for data science and AI

Two assignments (10% each = 20%) + five 30-minute applied-class quizzes (4% each = 20%) + a final e-exam worth 60% with a hurdle (≥45% on the exam required to pass). The exam is 3h10m, closed-book, no calculator, formula sheet provided. Confirm the latest requirements against the Monash handbook each semester.

§ Course catalog

Monash University Malaysia units on AskSia.

Every published unit links to its full AskSia course guide. 3 Monash University Malaysia units are live on AskSia today.

FIT1043

Introduction to data science

Clayton / Malaysia · 6 cp · Undergraduate

Looks at processes and case studies to understand the many facets of working with data and the significant effort in data science over and above the core task of…

FIT5057

Project management

Clayton / Malaysia · 6 cp · Postgraduate

Focuses on a holistic approach to project management, providing understanding of the processes of project management as well as sound skills in the use of project…

MAT9004

Mathematical foundations for data science and AI

Clayton / Malaysia / Online · 6 cp · Postgraduate

Mathematical topics fundamental to computing and statistics including trees and other graphs, combinatorics, elementary probability theory, linear algebra, and…

§ FAQ

About Monash University Malaysia on AskSia.

Which Monash Malaysia units does AskSia cover?

AskSia has full study guides for 3 Monash units offered at the Malaysia campus (Bandar Sunway, Selangor). Each links to its canonical Monash course guide.

Is the content the same as the Australian campus?

These units share the Monash unit code and curriculum across campuses; the guide is the same. Campus/teaching mode is noted per unit.

Open the AI tutor that knows Monash Malaysia.

Sia has full study guides for 3 Monash University Malaysia units — every exam topic, key concept and assessment. Start free with your Monash University Malaysia student email.

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Disclaimer · Methodology · Takedown

AskSia is an independent AI learning aid. Course details on this page — titles, campuses, credit points — are taken from The University's public handbook; university names and course codes are used for identification purposes only. AskSia is not affiliated with, endorsed by, or sponsored by Monash University Malaysia, its faculty, or its administration. To request a takedown, email takedowns@asksia.ai — we respond within 48 hours.