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Bachelor of Applied Data Science | Monash University Malaysia

Bachelor of Applied Data Science | Monash University Malaysia

Category: Degree

Specifications
Province/City
Kuala Lumpur
Language for Teaching
English
Field of Study
Computer
Course Start Date
Feb
Course Start Date
Jul
Course Start Date
Oct
Course
Degree
Country
Malaysia
Annual Course Fees
Above RM 40k
Details

Bachelor of Applied Data Science | Monash University Malaysia
Duration
3 Years
Mode
Physical
Campus
Subang
Medium
English
Intake
February, July and October

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Student Type

Domestic Student
Malaysian Citizen
International Student
Non-Malaysian Citizen

Entry Requirement

UEC
≤4.2
MUFY
72.50%
ATAR
Contact us
A-Level
9
Other Qualification
Contact us
English Requirement (contact us for more details)
IELTS - 6.5 | CEFR C1 or C2 | PTE 58

Select Scholarship

PTPTN Loan Selection

Not Applicable
No PTPTN loan available

Exclusive Grab Voucher

Exclusive Grab Voucher
RM 100

Fee Breakdown

Tuition Fee
RM 149,760
Application
RM 100
Registration
RM 200
General amenities
RM 900
Scholarship
- RM 0
PTPTN Loan
- RM 0
Voucher
- RM 0
Total Payable
RM 150,960
Benefits via E-Square Application:
  • Scholarship up to RM 0
  • Voucher: RM 0

Course Structure

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.

Working in small teams or as individuals, you will realise the application of information technology and mathematical knowledge through authentic projects. Through designed experiences, you will learn to integrate a broad range of skills including collaborative work practices, communication, leadership and entrepreneurship to make you ready to approach the professions of the future.

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.

Future Career Prospects

Main Directions
  • clinical trial management
  • drug discovery and development
  • analytical/biomedical chemistry
  • clinical science and research management
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