COURSE OVERVIEW

Master of Data Science(coursework)

Offered By: Monash University Malaysia

Course Fields: Computer Science and Information Technology

Course Level: Master's Degree

Course Modes: Full Time

English Proficiency: IELTS

Course Duration: 1.5-2 years (full-time) or 3-4 years (part-time)

Course Intake: February , July

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Total Cost: RM 70,773.00

Fees Title Fees Amount
1st year MYR 34,080.00
2nd year MYR 34,080.00
total MYR 68,160.00

University Fee:

Fees Title Fees Amount
Application (once only) MY 100.00
Application processing fee MY 1,060.00
Student pass fee MY 60.00
eVAL fee MY 159.00
i-Kad MY 50.00
Multiple entry visa fee MY 50.00
Medical screening fee MY 250.00
Medical and health insurance MY 884.00
total MYR 2,613.00

Entry Requirement:

  • For entry to Monash University, you must meet the minimum English language requirements except for Bachelor of Medical Science and Doctor of Medicine which requires higher English requirement. You can demonstrate your English language proficiency through one of the following: studying English at Year 12 or equivalent studying at an institution where English is the language of instruction English Proficiency Tests Monash English Bridging. If you've completed several measures of English proficiency over a period of time, the highest valid measure will be accepted as long as it's been taken within the required time limitations. Time limits may apply to the evidence you provide to demonstrate your English language proficiency.
Overview

With highly specialised expertise that’s widely sought-after in this information age, data scientists extract value from huge volumes of data to drive innovation and transformation across industries.

This course teaches you how to explore data and discover its potential – how to find innovative solutions to real problems in science, business and government, from technology start-ups to global organisations.

With a degree in science, engineering, arts or computing, you can pursue a Master of Data Science, gaining skills in data management, data analytics and data processing – skills needed in this fast-growing field.

COURSE STRUCTURE
The Master of Data Science comprises 96 credit points structured into three parts:
Part A. Foundations for advanced data science studies (24 credit points)

These studies will provide an orientation to the field of data science at graduate level. They are intended for students whose previous qualification is not in a relevant field.

  • Introduction to databases
  • Algorithms and programming foundations in Python
  • Introduction to computer architecture and networks
  • Mathematical foundations for data science.
Part B. Core master's studies (48 credit points)

These studies draw on best practices within the broad realm of data science practice and research. You will gain a critical understanding of theoretical and practical issues relating to data science.

  • Project management
  • IT research methods
  • Introduction to data science
  • Data exploration and visualisation
  • Data wrangling
  • Statistical data modelling
  • Data processing for big data.
Choose one of the following:
  • Machine learning
  • Data analysis for semi-structured data
  • Malicious AI.
Part C. Advanced practice (24 credit points)
The focus of these studies is professional or scholarly work that can contribute to a portfolio of professional development. You have two options:
  • Industry experience: A program of coursework involving advanced study and an industry experience studio project
  • Master’s thesis: A research pathway including a thesis. If you wish to use this course as a pathway to a higher degree by research you should take this option.
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University Details:

Monash University Malaysia

Monash University Malaysia is a modern, global, research-intensive university, delivering education and research excellence in Australia and across the Indo-Pacific. We’re making a positive impact on today's global challenges – whether that’s by mitigating climate change, easing geopolitical insecurity or fostering healthy communities. Read more

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