Bachelor of Computer Science (Honours) (Data Science) at Nilai University

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Nilai University

NILAI University Malaysia stands as a pillar of educational distinction, strategically located within the vibrant educational landscape of Malaysia, and is committed to delivering exceptional education that resonates with the demands of both the local and international markets. While it may not boast the ancient heritage of some British universities, NILAI University has quickly established itself as a center for academic and professional excellence, focusing on areas such as business, engineering, health sciences, and hospitality management. Dedicated to addressing the increasing appetite for superior higher education, NILAI University is resolute in its mission to mold graduates who are both scholarly accomplished and prepared for the complexities of the industry. By championing a curriculum that is both research-informed and practically oriented, alongside a strong accentuation on the acquisition of employability proficiencies, NILAI University is determined to ensure its students are fully prepared to navigate and excel in the global employment arena. Positioned amidst the dynamism of Malaysia's educational and cultural milieu, NILAI University offers an enriching educational journey that is enriched by the country's diverse heritage and economic vitality, making it an attractive destination for students seeking a comprehensive and industry-relevant education.

Course Information

Academic Qualification
Bachelor
Duration
3.0 years
Intake
January, April, July, October
English Requirement
5
Class Type
Full Time
Offer Letter
Free

Yearly Tuition Fees

First Year
22,600
MYR
Second Year
22,600
MYR
Third Year
19,100
MYR
Total Tuition Fees 64,300 MYR

Other Fees

Application Fees + Visa 2,850 MYR
International Administration + Registration 7,000 MYR
Cation Fee ( Refundable ) 1,500 MYR
Total Additional Fees 11,350 MYR
Grand Total (All Fees) 75,650 MYR

Course Overview

The Bachelor of Computer Science (Honours) (Data Science) at Nilai University equips students with essential computing knowledge, a strong foundation in statistics and mathematics, and the expertise to apply scientific methods in extracting, processing, and analyzing data. Graduates are prepared for roles such as Data Scientist, Data Analyst, and Machine Learning Engineer.

Program Structure

  • Year 1: Foundational courses including Understanding Computing, C Programming, and Database Systems.
  • Year 2: Intermediate topics such as Data Structures and Algorithms, Operating Systems Principles, and Web Development.
  • Year 3: Advanced subjects like Data Mining and Predictive Analytics, Big Data Analytics, and Machine Learning, culminating in a Data Science Project and an industry internship.

Entry Requirements

  • STPM (Arts Stream): Pass with a minimum Grade C (GP 2.00) in any two (2) subjects and a credit in Additional Mathematics at the SPM Level or its equivalent; OR Pass with a minimum Grade C (GP 2.00) in any two (2) subjects and a credit in Mathematics and any one of the Science, Technology, or Engineering subjects at the SPM Level or its equivalent.
  • STPM (Science Stream): Pass with a minimum Grade C (GP 2.00) in Mathematics and one (1) Science/ICT subject.
  • 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 the SPM Level or its equivalent.
  • STAM: Pass with a minimum grade of Jayyid in any two (2) subjects and a credit in Additional Mathematics at SPM Level; OR Pass with a minimum grade of Jayyid in any two (2) subjects and a credit in Mathematics and any Science, Technology, or Engineering subject 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 the 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 the SPM Level or its equivalent. Candidates without Additional Mathematics are required to take and pass a 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 may be subject to internal evaluation/interview.
  • Any Diploma in Science & Technology (Level 4, MQF): Pass with a minimum CGPA of 2.75. CGPA below 2.75 but more than 2.50 may be subject to internal evaluation/interview.
  • Diploma Kemahiran Malaysia (DKM) / Diploma Vokasional Malaysia (DVM) / Diploma Lanjutan Kemahiran Malaysia (DLKM) in Computing Fields: Pass with a minimum CGPA of 2.50, subject to HEP Senate/Academic Board’s approval.

Career Opportunities

  • Data Architect
  • Data Administrator
  • Business Intelligence Manager
  • Business Intelligence Developer
  • Data Scientist
  • Data Analyst
  • Data Engineer
  • Machine Learning Engineer/Scientist
  • Applications Architect
  • Enterprise Architect
  • Infrastructure Architect
  • Statistician

Highlights

  • Duration: 3 years
  • Intakes: January, June, September

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