Bachelor of Computer Science (Honours) (Artificial Intelligence) 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
26,400
MYR
Second Year
25,100
MYR
Third Year
23,800
MYR
Total Tuition Fees 75,300 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) 86,650 MYR

Course Overview

The Bachelor of Computer Science (Honours) (Artificial Intelligence) at Nilai University equips students with comprehensive knowledge and practical skills in artificial intelligence, machine learning, and data analytics, preparing graduates for roles such as AI Specialist, Machine Learning Engineer, and Data Scientist.

Program Structure

  • Year 1: Foundational courses including C Programming, Software Modeling and Analysis, Database Systems, Computer Architecture and Organisation, Introduction to Object-Oriented Programming, Web Development, Operating Systems Principles, Understanding Computing, Introduction to Data Communications and Networking, and Python Programming.
  • Year 2: Intermediate topics such as Data Structures and Algorithms, Computer Graphics, Object-Oriented Software Development, Software Design and Architecture, Human-Computer Interaction, Artificial Intelligence, Discrete Structures, Fuzzy Logic-Based Expert Systems, Information Assurance Security, and Machine Learning.
  • Year 3: Advanced subjects including Theory of Computation, Software Project Management, Computer Vision and Image Processing, Big Data Analytics, Platform-Based Development, Parallel and Distributed Computing, Artificial Intelligence in Robotics, Deep Learning, AI Project I & II, and an 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 SPM Level or its equivalent; OR Pass with a minimum Grade C (GP 2.00) in any two (2) subjects and a credit in SPM Mathematics and any one Science, Technology, or Engineering subject 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 SPM Level or its equivalent; OR Pass with Grade D in any two (2) subjects and a credit in Mathematics and any one Science, Technology, or Engineering subject at 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 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 Science, Technology, or Engineering subject at SPM Level or its equivalent.
  • Foundation/Matriculation: Pass with a minimum CGPA of 2.00 and a credit in Additional Mathematics at SPM Level or its equivalent; OR Pass with a minimum CGPA of 2.00 and a credit in Mathematics and any one Science, Technology, or Engineering subject at SPM Level or its equivalent. Candidates are required to take and pass a reinforcement mathematics subject in the first semester.
  • Diploma in Computing Fields (Level 4, MQF): Pass with a minimum CGPA of 2.50. Candidates with a CGPA below 2.50 but more than 2.00 may be subject to internal evaluation/interview.
  • Diploma in Science & Technology (Level 4, MQF): Pass with a minimum CGPA of 2.75. Candidates with a 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.
  • English Language Requirements (for international students): 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 is the main medium of instruction are exempted from this requirement. Those who do not fulfill the English Language Requirements may join the Intensive English Programme at Nilai University to build their skills in the language and prepare for the IELTS examination.

Career Opportunities

  • Artificial Intelligence (AI) Specialist
  • Algorithm Specialist
  • AI Platform Architect
  • AI Analyst
  • AI Engineer
  • Natural Language Processing (NLP) Engineer
  • Robotics R&D Engineer
  • Machine Learning Engineer
  • Computer Vision Engineer
  • Deep Learning Scientist
  • Software Engineer
  • Python Programmer
  • Data Scientist
  • Big Data Analyst
  • Big Data Engineer/Architect
  • UX Designer/Developer
  • BI Developer
  • Researcher
  • Research Scientist

Highlights

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

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