Bachelor of Applied Data Science Advanced (Honours) | Monash University

Bachelor of Applied Data Science Advanced (Honours) | Monash University

Category: Degree Available
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Specifications
  • Province/City: Australia
  • Language for Teaching: English
  • Field of Study : Computer
  • Course Start Date: Feb
  • Course : Degree
  • Country: Australia
  • Annual Course Fees : Between RM 150k - 200k
Description

Bachelor of Applied Data Science Advanced (Honours) - Monash University Clayton, Australia

Bachelor of Applied Data Science Advanced (Honours) - Monash University · Clayton, Melbourne

Duration
4 Years
Mode
Physical
Campus
Clayton
Medium
English
Intake
Feb

Bachelor of Applied Data Science Advanced (Honours) at Monash University — a 4-year, full-time honours bachelor degree at the Clayton campus in Melbourne, Australia. Build advanced expertise in data science, programming, mathematics, and analytics with applied study pathways and honours-level research practice. International students from Malaysia and across Asia can apply for February intake.

Indicative total fees are AU$ 238,525 (tuition + application fee), with live AUD to MYR conversion in the fee breakdown below. Figures are illustrative — your final amount follows Monash University’s official fee schedule for your intake year.

Monash University is ranked #37 in the world and #5 in Australia in the QS World University Rankings, placing it among the top 1% of universities globally.

What you will study: progressive data challenges; core data science and IT units; mathematical science foundations; applied study electives; advanced practice in research and industry; and free electives.

Entry requirements: pathways include ATAR 90, A Levels BBB, STPM 9.7, UEC A2–B3 average (best five subjects), and MUFY 80%. English proficiency such as IELTS 6.5 overall (minimum 6.0 in each band) is required. Scholarships are assessed case by case — contact our advisors for guidance.

Career outcomes include business intelligence analyst, data architect, data mining engineer, data scientist, and quantitative analyst across tech, finance, and research sectors.

Study at Monash’s Clayton campus — a major hub for science, IT, and data-intensive research in Melbourne. Plan to apply at least three months before your course start; allow about one month for your offer letter and sufficient time to lodge your Australian student visa before you travel.

E-Square provides free one-to-one counselling for Monash University applications: document checklists, personal statement and visa guidance, fee and living-cost planning (including the Australian Government’s AUD 30,000 per year living-cost benchmark for international students), and WhatsApp follow-up from first enquiry to enrolment.

Why this course & university?

#40 in the world · #3 in Australia

For data science, Monash ranks #40 globally and #3 in Australia in QS Data Science and Artificial Intelligence (Subject Rankings).

Advanced data science skills

Demonstrate advanced knowledge and technical skills in data science across programming, modelling, and analytics.

Data methods & solutions

Design, implement and apply methods for capturing, managing and analysing data to solve authentic challenges.

Communication & critical thinking

Listen, understand, and communicate persuasively to diverse audiences, using critical thinking for efficient solutions.

About the Campus

Bachelor of Applied Data Science Advanced (Honours) at Monash University is taught at the Clayton campus — Monash’s largest campus and a leading centre for science, IT, engineering, and data-intensive research in Melbourne.

Entry Requirements

Minimum academic requirements vary by qualification. Select your pathway below. English test scores are in the next section; for scholarships, see Contact Us.

ATAR
90
UEC
Average A2–B3 (best five subjects)
STPM
9.7 (best three subjects, excl. Pengajian Am)
A Levels
BBB
MUFY
80%
Other Qualifications
Contact Us

English Language Requirements

IELTS
6.5 overall (Academic), minimum 6.0 in Listening, Reading, Writing and Speaking.

Is this course for you?

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Scholarships

Scholarship and bursary options for this degree programme depend on your intake and academic profile. Contact us and we’ll check eligibility with Monash University.

 
Share your results and target intake — we’ll advise on available scholarships and bursaries.

Fee estimate (AUD → RM)

Core fees are shown in Australian dollars (AUD). Ringgit (MYR) equivalents use a live AUD/MYR rate. Figures are illustrative only. Monash University typically reviews tuition each year; expect an estimated 5–10% annual increase — always use the latest official tuition on your offer or fee schedule.

Tuition fee breakdown

Tuition fee
≈ RM —
Application Fee
≈ RM —
Indicative total payable
AU$ 238,525
Indicative total payable

Indicative totals above are not a quote. Tuition and related fees follow the Monash University’s current published schedule for your intake year. For scholarships, contact us. MYR equivalents use the live rate shown above.

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Programme Structure

The Bachelor of Applied Data Science Advanced (Honours) is a four-year honours degree at Monash Clayton. Key study areas include:

Data Challenges
  • Data challenges 1
  • Data challenges 2
  • Data challenges 3
  • Data challenges 4
  • Advanced data challenges
Techniques for Data Science
  • Introduction to data science
  • Introduction to programming
  • Modelling for data analysis
  • Databases
  • Advanced data analysis
  • Deep learning
Mathematical Science Units
  • Discrete mathematics for computer science
  • Analysis of change
  • Techniques for modelling
  • Multivariate mathematics for data science
  • Introduction to computational mathematics
  • Computational linear algebra
  • Optimisation and operations research
Applied and Statistical Mathematics
  • Differential equations with modelling
  • The nature and beauty of mathematics
  • Mathematics of uncertainty
  • Mathematics of uncertainty (Advanced)
  • Mathematical statistics

Applied Studies

Astronomy
  • Earth to cosmos: Introductory astronomy
  • Life in the universe: Astrobiology
  • Astronomy
  • Introduction to astrophysics
  • Foundation physics
  • Physics for engineering
  • Classical physics and relativity
Biological Science and Genetics
  • Blueprints for life
  • Life on Earth
  • Life in the environment
  • Ecology and biodiversity
  • Conservation biology
  • Foundation of genetics
  • Genomics and population genetics
Business Analytics
  • Business and economic statistics
  • Introduction to data analysis
  • Statistical thinking
  • Applied forecasting
Chemical Sciences
  • Chemistry 1
  • Chemistry 1 Advanced
  • Chemistry 2
  • Chemistry 2 Advanced
  • Inorganic and organic chemistry
  • Spectroscopy and analytical chemistry
Crime and Society
  • Understanding crime
  • Criminal justice in practice
  • Cybercrime and cybersecurity
  • Policing
  • Social research methods
Cybersecurity
  • Introduction to computer systems, networks and security
  • Cybersecurity tools and techniques
  • Operating systems
  • Software security
Digital Media
  • Communicating in the digital era
  • Media challenges
  • Media and culture
  • Video games: Industry and culture
  • Climate change communication
  • Professional and academic presentation skills
Discrete Mathematics
  • The nature and beauty of mathematics
  • Number theory and cryptography
  • Number theory and cryptography (Advanced)
  • Algebra 1: Group theory
  • Algebra 2: Rings and fields
  • Network mathematics
  • Network mathematics (Advanced)
Drugs and Society
  • Blueprints for life
  • Life on Earth
  • Neuroscience of communication, sensory and control systems
  • Drugs and society
Economics
  • Principles of microeconomics
  • Principles of macroeconomics
  • Macroeconomics
  • Intermediate microeconomics
  • Design and evaluation of economic, public and social programs
  • Intermediate macroeconomics
  • Crashes, crises and macroeconomic policy
Introduction to Physiology
  • Blueprints for life
  • Chemistry 1
  • Chemistry 1 Advanced
  • Foundation physics
  • Classical physics and relativity
  • Life on Earth
  • Chemistry 2
  • Chemistry 2 Advanced
  • Physics for engineering
  • Fields and quantum physics
  • Neuroscience of communication, sensory and control systems
  • Human physiology: Hormonal and digestive systems
  • Human physiology: Cardiovascular, respiratory and renal systems
Language and Society
  • Cracking the language code: English and beyond
  • Linguistic structure and language diversity
  • Languages, cultures and interaction in Asia
  • Structure in the languages of the world
  • Phonetics and phonology: The science of speech sounds
  • Managing intercultural communication
  • Englishes around the world
  • Embodied language: Gesture, gaze and interaction
Marketing Science
  • Principles of marketing
  • Fundamentals of marketing analytics
  • Marketing research analysis
  • Advanced topics in marketing analytics
Physics
  • Classical physics and relativity
  • Foundation physics
  • Fields and quantum physics
  • Physics for engineering
  • Quantum and thermal physics
  • Atomic, nuclear and condensed matter physics
Social Research
  • Introduction to sociology
  • Big ideas for better futures
  • Breaking binaries: How gender is lived and theorised
  • Sex and the media
  • Race, racism and social inequalities
  • Love, families, and relationships
  • Social research methods
  • Men, masculinity and society
Software Development
  • Web fundamentals
  • Mobile application development
  • Web database interface
  • Usability
  • iOS app development
Advanced Practice
  • Research methods in data science
  • Frontiers of data science
  • Industry research project
Free Elective Study
  • Free elective units

Future Career Prospects

Main Directions
  • Business Intelligence Analyst
  • Data Architect
  • Data Mining Engineer
  • Data Scientist
  • Quantitative Analyst

Estimated application deadline

Monash University offers a February intake for this degree. Plan to apply at least 3 months before your classes start — earlier is better for international students.

February intake
Apply at least 3 months before course start

Illustrative planning window — confirm your intake’s exact closing date with us or the university.

Offer letter
Allow about 1 month after a complete application

Timing varies by intake and document completeness; we help you submit a complete file the first time.

Student visa
Apply well before you travel

Start your Australian student visa once you have your offer — do not wait until the last minute. We guide timeline and documents.

Official source: Intake dates and closing deadlines are set by Monash University and may change. Always verify on the official application channel before you commit.

Need accommodation?

Clayton Urban Community and campus accommodation and other Monash options on and near the Clayton campus. Message us to shortlist options that fit your budget.

Indicative weekly rates at Clayton Urban Community and campus accommodation (Monash-managed). We help you compare on-campus and nearby options for your campus and intake.

Rates below are per week in AUD. See living costs for monthly benchmarks. Unlock this section for the official Monash accommodation page.

Melbourne monthly living expenses

Estimates for studying in Melbourne (monthly). The Australian Government advises international students to budget at least AUD 30,000 per year for living costs — about AUD 2,500 per month on average. The bands below split that benchmark across rent, food, Myki transport, mobile, and personal spend. Figures are in AUD first, with MYR from the same live rate as the fee section.

Live rate (same as Fee estimate): 1 AUD = MYR

Rent
Accommodation / month
≈ RM —
Food
Food & groceries
≈ RM —
Transportation
Public transport (Myki)
≈ RM —
Mobile
Mobile plan
≈ RM —
Entertainment
Personal & misc.
≈ RM —
Total (monthly, indicative · ~AUD 30,000/year benchmark)
≈ RM —

Need guidance on your personal statement & Australian student visa?

Personal statement and visa support for your Monash University application — free advisory on WhatsApp.

Check Eligibility

Application

How to Apply

Planning Bachelor of Applied Data Science Advanced (Honours) at Monash University is easier with a clear timeline and checklist. Our consultants help you align documents with your February intake and university deadlines.

Apply with expert guidance

Once your budget pathway and entry route are clear, we guide you through each submission step — from academic proofs to study-grant checks.

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  • Application timelineWe map milestones to your intake so documents go in before internal cut-offs.
  • Documents & reviewWe checklist transcripts, IDs, English proofs, and programme-specific items — then sanity-check before upload.
  • End-to-end supportForms, fee awareness, submission tracking, and scholarship pointers — from first enquiry to follow-up with the university where needed.

Note: Student advisory through E-Square is free. Contact us early — ideally three months ahead of the deadline — so your timeline stays relaxed.

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