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Bachelor of Computer Science | Monash University Malaysia

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

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Step 2
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Student Type

Domestic Student
Malaysian Citizen
International Student
Non-Malaysian Citizen

Entry Requirement

UEC
≤4.2
MUFY
70%
ATAR
Contact us
A-Level
9
Other Qualification
Contact us
English Requirement
IELTS - 6.5 (6.0 in each element) | CEFR level B2 & SPM BI grade B or above | 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 136,800
Application
RM 100
Registration
RM 200
General amenities
RM 900
Scholarship
- RM 0
PTPTN Loan
- RM 0
Voucher
- RM 0
Total Payable
RM 138,000
Benefits via E-Square Application:
  • Scholarship up to RM 0
  • Voucher: RM 0

Course Structure

Part A. Computer science foundation study

This study will develop your understanding of the role and theoretical basis of computer science and computational methods.

Part B. Professional skills study

This study develops professional skills by providing an understanding and appreciation of the ethical and professional guidelines applicable to computer science, developing the ability to work as an effective team member, developing the ability to communicate proficiently and appropriately for professional practice, and developing formal project management skills.

Part C. Specialist discipline knowledge

This study will develop your in-depth knowledge of the specific computer science methods of your specialised field within computer science.

Part D. Problem solving and analytical skills study

This study will develop your ability to apply appropriate methodologies in computer science and develop efficient computational solutions. It develops strong problem-solving skills and the ability to apply analytical thinking.

Part E. Applied practice

The above knowledge and skills are integrated and consolidated in applied practice as demonstrated in a computer or data science project, and in some cases in an industry-based learning placement.

Part F. Free elective study

These elective units will enable you to broaden and deepen your knowledge of computer science, or to select units from across the University in which you are eligible to enrol.

Future Career Prospects

Main Directions
  • software development
  • data analytics
  • information retrieval
  • visualisation
  • Internet of things
  • natural language processing
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