Bachelor of Computer Science (Hons) (Data Science)

nilai
Highlights about course

Program Level

Bachelor

Duration

3 Years

Tuition Fees

RM 60,000

Intake

January, June, September

The programme will provide student with knowledge in computing, strong foundation of statistics and mathematics to use scientific methods to extract, process and analyse data, produce visualize meaningful information, and perform programming. The student will be exposed with the latest data science trends, insights and emerging topics to ensure student graduate with a specialist, technical and highly relevant skill-set that is sought-after by employers globally.

Entry Requirements

STPM (Arts stream)

Pass with a minimum Grade of C (GP 2.00) in any (2) subjects and a credit in Additional Mathematics at the SPM Level or its equivalent

OR

Pass with a minimum Grade of C (GP 2.00) in any (2) subjects AND a credit in SPM Mathematics and any one of the Science, Technology or Engineering subjects or its equivalent.

STPM (Science stream)

Pass with a minimum Grade of C (GP 2.00) in Mathematics subject and ONE (1) Science / ICT subject; or

A-Level Pass with Grade D in any two (2) subjects and a credit in Additional Mathematics at the SPM Level or its equivalent;

OR

Pass with a minimum of Grade D in any two (2) subjects and a credit in Mathematics and any one of the Science Technology or Engineering Subjects at SPM Level or its equivalent;

STAM Pass with minimum grade of Jayyid in any 2 subjects and credit in Additional Mathematics at SPM level

OR

Pass with minimum grade of Jayyid in any 2 subjects and credit in Mathematics and any Science, Technology or Engineering subjects at SPM level.

UEC Pass with at least Grade B in any five (5) subjects and a credit in Additional Mathematics at the
SPM Level or its equivalent;

OR

Pass with at least Grade B in any five (5) subjects and a credit in Mathematics and any one of
the Science Technology or Engineering Subjects at SPM Level or its equivalent

Foundation / Matriculation

Pass with a minimum CGPA of 2.00 and a credit in Additional Mathematics at the SPM Level
or its equivalent;

OR

Pass with a minimum CGPA of 2.00 and a credit in Mathematics and any one of the Science
Technology or Engineering Subjects at SPM Level or its equivalent. Candidates are required to take and pass reinforcement mathematics subject in the first semester.

Diploma in Computing fields (Level 4, MQF) Pass with minimum CGPA of 2.50, CGPA below 2.50 but more than 2.00 subject to internal evaluation / interview; or
Any Diploma in Science
& Technology
(Level 4,MQF)
Pass with a minimum CGPA 2.75; CGPA below 2.75 but more than 2.50 may subject internal evaluation / interview; or
Diploma Kemahiran Malaysia (DKM) / Diploma Vokasional Malaysia (DVM) /  Diploma Lanjutan Kemahiran Malaysia (DLKM)  in Computing fields Pass with a minimum CGPA of 2.50 subjected to HEP Senate / Academic Board’s approval

 

English Language Requirements* (for international student)

MUET 3.5
IELTS 5.0
TOEFL 7.5 (Ess Online) / 40 (iBT)
Pearson 47
Linguaskill OL 154
ELS 107

 

International students with qualifications where English language is the main medium of instruction are exempted from this requirement

International students who do not fulfil the English Language Requirements may join the Intensive English Programme at Nilai University to builds their skills in the language and prepares them for the IELTS examination

Programme Module

Foundational

  • Understanding Computing

Common Core and Discipline Core

  • C Programming
  • Software Modelling and Analysis
  • Database Systems
  • Data Visualisation
  • Computer Architecture and Organisation
  • Introduction to Object Oriented Programming
  • Information Assurance Security
  • Web Development
  • Data Structure and Algorithms
  • Operating Systems Principles
  • Object Oriented Software Development
  • Data Communication and Networking
  • Human Computer Interaction
  • Artificial Intelligence
  • Discrete Structures
  • Platform Based Development
  • Parallel and Distributed Computing
  • Python Programming
  • Software Design and Architecture

Specialisation Courses

  • Data Science
  • Computer Graphics
  • Statistical Methods for Data Science
  • Software Project Management
  • Theory of Computation
  • Data Mining and Predictive Analytics
  • Big Data Analytics
  • Machine Learning

Capstone

  • Data Science Project I
  • Data Science Project II

Industrial Training

  • Internship

Mata Pelajaran Pengajian Umum/University Courses

Malay Language (only for Malaysian students without a credit in SPM BM)

Programme Pathway

Computing Pathway

About University

Nilai University

Malaysia

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