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Intakes
Feb Jul Oct
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Duration
3 years

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Internship
Internship available
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Monash University Malaysia
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Intakes : Feb Jul Oct
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Duration : 3 years
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Internship : Internship available
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Award : Monash University Malaysia
Why Apply for this course

Top 100 in the world
Your degree will be recognised wherever you want to work or study in the world. Monash University is ranked (QS World University Rankings by Subject 2023):

  • No. 24 for Anatomy and Physiology
  • No. 33 for Life Sciences and Medicine
  • No. 39 in the world for Chemistry
  • No. 68 in the world for Environmental Sciences
  • No. 78 for Biological Sciences
  • No. 96 for Natural Sciences

Is this course for you?

Step 1 Check Entry Requirement
A-Level CCC UEC 4B41B5 Diploma CGPA 3.17 STPM BBB- Foundation CGPA 2.67 IB Diploma 28 pts SACE/WACE ATAR 80
Step 2 Check Course Fees
Estimated fees is RM 147,780
Step 3 Check Nett Fee with Scholarship
Scholarships available: 10 Awards
Step 4 Determine Your Best Option
Compare Computer Science courses & estimated total fee across 55 institutions with 165 awards

Entry Requirements

Fees

Registration Fee
MYR 300
Resource Fee
MYR 600
Tuition Fee (Home)
MYR 146,880
Estimated Total Fees
MYR 147,780

Awards & Scholarships

Course Content

Part A. Data challenges (36 credit points)

  • These studies will develop your analytical skills and advance your ability to apply key information technology and mathematical concepts and methods. These skills will be elaborated through studio-based learning using authentic case studies sourced from industry partners, and with examples drawn from STEM areas, business, law, the humanities and social sciences.

Part B. Techniques for data science (72 credit points)

  • Through this theme you will gain the technical foundation that underpins this program. You will acquire knowledge and skills in mathematics and the capacity to tackle challenging problems in a variety of situations. Through core data science studies, you will also attain the skills needed to effectively use, develop and manage complex data. These two areas are critical for tackling the diverse problems encountered in Part A of the course.

Part C. Applied studies (24 credit points)
These studies will provide the foundation required to advance cross-disciplinary analytical thought. You will undertake a sequence of study in a discipline below:

  • Biological science and genetics
  • Chemical sciences
  • Environmental science
  • Biotechnology
  • Food and nutrition
  • Forensic genetics
  • Health and human physiology.

The selection of studies available will ensure you can explore new and diverse areas and develop core strengths in studies that relate to data applications. In addition to the disciplinary expertise, you will develop an appreciation for the culture of your selected discipline, the development of ideas in a given subject area, and the contexts in which this is applied. Data applications relating to these subjects can then be incorporated through the learning experiences across Part A.

Part D. Elective (12 credit points)

  • This will enable you to further develop your technical skills or extend your knowledge in your selected applied studies. Alternatively, you can select units from across the university in which you are eligible to enrol.

Interested in

Computer Science

from Monash, Bandar Sunway?


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