Bachelor of Computer Science (Data Science) (Open Channel / SATU)

Universiti Malaya (UM)

Kuala Lumpur, Malaysia

Quick Facts

Duration

3.5 years

Mode

Full-time, On-campus

Intake

Oct

Tuition Fees

RM89,200

Entry Requirements

  • STPM:
    • Malaysian citizen
    • Obtain a minimum CGPA of 3.00 in Science stream and;
    • Obtain a minimum of grade B- in Additional Mathematics and Grade B- in any of the following subjects:
      • Physics
      • Information and Communication Technology
      • Chemistry
      • Biology
  • Matriculation / Foundation:
    • Malaysian citizen
    • Obtain a minimum CGPA of 3.00 in Science Stream and;
    • Obtain a minimum of grade B- in Mathematics at Matriculation/Foundation and Grade B- in any of the following subjects:
      • Physics
      • Fundamentals of Information and Communication Technology
      • Chemistry
      • Biology
      • Computer Science
      • IT
      • Programming
      • Computing 
  • Diploma / Equivalent :
    • Malaysian citizen
    • Obtain a minimum CGPA of 3.00 from a recognised institution approved by UM Senate and;
    • Obtain a minimum of grade B- in any 2 subjects at Diploma level including Mathematics and;
  • UM SATU Foundation:
    • Malaysian citizen
    • Obtain a minimum CGPA of 3.00 at Asasi SATU UM and;
    • Obtain a minimum of grade B- in Mathematics at Asasi SATU UM and obtained grade B- in any of the following subjects:
      • Physics
      • Information & Communication Technology
      • Chemistry
      • Biology
      • Computer Science
      • IT
      • Programming
      • Computing 
  • GCE A-Level:
    • Malaysian citizen
    • Obtain a recognized GCE A-Level qualification and;
    • Obtain a minimum of grade B in Mathematics and grade B in any of the following subjects at A-Levels: 
      • Additional Mathematics
      • Physics
      • Chemistry
      • Biology
      • Computing
      • Related Computing Fields
  • International Baccalaureate (IB):
    • Malaysian citizen
    • Obtained International Baccaluareate Diploma (IB) that is recognised with a minimum of 30 points and;
    • Obtain at least grade 5 (Higher Level) /  grade 6 (Standard Level) in Mathematics and;
    • Obtained at least grade 5 (HL) or grade 6 (SL) in any of the following subjects: 
      • Physics
      • Chemistry
      • Biology
      • Computer Science 
  • AUSMAT:
    • Malaysian citizen
    • Obtain a minimum score of 80 in the Australian Tertiary Admissions Rank (ATAR) and;
    • Obtain a minimum of grade B-  in any one subjects at AUSMAT level as follows:
      • Physics
      • Chemistry
      • Biology
      • Computing
      • Mathematics Specialist 

 SPM / O-Level / Equivalent Subject Requirements

  • Obtain a minimum grade B in THREE (3) of the following subjects: 
    • Mathematics
    • Additional Mathematics
    • Any ONE (1) subjects: 
      • Physics
      • Chemistry
      • Biology
      • Computer Science, 
      • Information and Communication Technology (ICT)
  • Obtain a minimum of Band 3.5 in MUET for examinations starting from Session 1 of the year 2021, or Band 3.5 for examinations up to the year 2020, according to the validity period on the date of application

Course Structure

  • Basic Entrepreneurship Culture 
  • Computing Mathematics I 
  • Fundamentals of Programming 
  • Computer System and Organization 
  • Information Systems 
  • Philosophy and Current Issues (for local student only) / Basic Malay Language (for international student) 
  • Information Literacy 
  • Social Engagement 
  • Data Structure (#WIX1002) 
  • Computer System Architecture (#WIX1003) 
  • Machine Learning 
  • Introduction to Data Science 

Note:

  • #Pre-requisite
  • *Taken all Faculty and Programme Core Courses except Academic Project I and Academic Project II
  • **Pass all Faculty and Programme Core Courses except Industrial Training and Academic Project II
  • ***Each Specialization Elective Course is only offered ONCE every academic session, either on Semester 1 OR Semester 2
  • English for Communication (1) 
  • Appreciation of Ethics and Civilizations 
  • Communication Thinking and Skills 
  • Project Management 
  • Database
  • Software Modeling
  • Probability and Statistics
  • Co-Curriculum 
  • English for Communication (2) 
  • Operating Systems 
  • Network Technology Foundation
  • Specialization Elective (1)***
  • Specialization Elective (2)***
  • Faculty Elective (1)

Note:

  • #Pre-requisite
  • *Taken all Faculty and Programme Core Courses except Academic Project I and Academic Project II
  • **Pass all Faculty and Programme Core Courses except Industrial Training and Academic Project II
  • ***Each Specialization Elective Course is only offered ONCE every academic session, either on Semester 1 OR Semester 2
  • Data Science Project
  • Specialization Elective (3)***
  • Specialization Elective (4)***
  • Specialization Elective (5)***
  • Specialization Elective (6)***
  • Faculty Elective (2) 
  • External Faculty Elective 
  • Data Science Industrial Training

Note:

  • #Pre-requisite
  • *Taken all Faculty and Programme Core Courses except Academic Project I and Academic Project II
  • **Pass all Faculty and Programme Core Courses except Industrial Training and Academic Project II
  • ***Each Specialization Elective Course is only offered ONCE every academic session, either on Semester 1 OR Semester 2
  • Professional Development* 
  • Data Science and Application* 
  • Industrial Solution Development* 

Note:

  • #Pre-requisite
  • *Taken all Faculty and Programme Core Courses except Academic Project I and Academic Project II
  • **Pass all Faculty and Programme Core Courses except Industrial Training and Academic Project II
  • ***Each Specialization Elective Course is only offered ONCE every academic session, either on Semester 1 OR Semester 2

Specialization Elective Courses (Choose only 10 courses)

  • Data Analytics
  • Knowledge Representation and Reasoning
  • Computing Mathematics II
  • Functional and Logic Programming
  • Natural Language Processing
  • Data Mining and Warehousing
  • Data Visualization
  • Business Analytics and Intelligence
  • Big Data Applications and Analytics
  • Trends in Data Science

Estimated Fees

Application fees (non-refundable)

RM300

Tuition fees

RM89,200

Other miscellaneous fees

RM500

Total payable amount

RM90,000

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