Bachelor of Artificial Intelligence Technology with Honours

Program Learning Outcomes

Demonstrate an understanding of how communication shapes patterns of social interaction, the expression of cultural values and norms, political practices and relations of power, and our positions as local and global citizens.

Be able to use a variety of methodological tools to analyze interpersonal, intercultural, and rhetorical discourse that structures everyday interactions in both our public and private lives.

Demonstrate an understanding of the possibilities, problems, and history of discourse and deliberation in democracy and will be prepared to use their knowledge to work for a just and more humane world.

Overview

The Bachelor of Artificial Intelligence Technology with Honours / Sarjana Muda Teknologi Kecerdasan Buatan dengan Kepujian is designed to produce industry-ready graduates equipped with strong theoretical foundations and hands-on skills in Artificial Intelligence (AI). This programme focuses on the application of AI technologies to solve real-world problems, aligned with current industry needs and future technological advancements.

Students will gain in-depth knowledge in key areas, including Machine Learning, Deep Learning, Data Management, Computer Vision, Natural Language Processing, Computational Intelligence, Generative AI, and AI Engineering. The curriculum emphasizes practical learning through laboratory work, projects, and industry-relevant case studies, ensuring graduates are competent in developing, deploying, and managing AI-driven solutions.

The programme also integrates industrial training and a final year project, allowing students to apply their knowledge in real industrial environments. Graduates will be well-prepared for careers in AI-related fields or to pursue further studies and research in Artificial Intelligence and related disciplines.

Programme Objectives

The Bachelor of Artificial Intelligence Technology with Honours / Sarjana Muda Teknologi Kecerdasan Buatan dengan Kepujian aims to produce graduates with strong foundational knowledge and practical competencies in artificial intelligence and related technologies to meet current and future industry demands.

The programme equips students with the ability to design, develop, implement, and evaluate AI-based solutions for real-world problems across various domains, while fostering analytical thinking, problem-solving, and data-driven decision-making skills.

It also emphasizes professionalism, ethics, and responsible AI practices by instilling awareness of the legal, social, and ethical implications of artificial intelligence. In addition, the programme enhances students’ communication, teamwork, and leadership abilities to enable effective participation in multidisciplinary and professional environments, and prepares graduates for lifelong learning, continuous professional development, and further studies in AI and related fields.

Programme Educational Objectives (PEOs)

PEO 1
Competent and forward-thinking in Artificial Intelligence field of study, and capable of pursuing business and technopreneurial ventures.
PEO 2
Effective leaders who demonstrate professionalism, ethics, social responsibility, and a commitment to sustainability, with good teamwork and communication skills.
PEO 3
Committed to lifelong learning, continuous improvement, and personal growth.

Programme Learning Outcomes (PLOs)

PLO 1
Apply the knowledge of technology fundamentals to broadly-defined procedures, processes, and methodologies related to Artificial Intelligence.
PLO 2
Propose and employ appropriate tools and techniques in AI to provide solutions to broadly-defined problems.
PLO 3
Demonstrate analytical and critical thinking abilities to solve broadly-defined problems in Artificial Intelligence.
PLO 4
Communicate effectively and flexibly in oral and written forms for social, academic, and professional purposes.
PLO 5
Illustrate understanding of societal issues and responsibilities related to broadly-defined technology practices.
PLO 6
Acknowledge the need for professional development and engage in independent and continuous learning in specialized AI-driven technologies.
PLO 7
Demonstrate awareness of management principles and technopreneurship in real-world contexts.
PLO 8
Adhere to ethical, responsible, and professional practices in AI adoption.
PLO 9
Display leadership qualities, mentoring ability, and effective teamwork in diverse environments.

Programme Structure (FULL TIME)

SEMESTER 1

AI Programming
Mathematics for AI
Data Management
IT Security Essentials
MPU U1

SEMESTER 2

Data Mining and Information Retrieval
Probability and Statistics for IT
Computer Organization and Operating Systems
Professional English 1
MPU U3
MPU U4

SEMESTER 3

Principles of Artificial Intelligence
Foreign Language 1
MPU U1

SEMESTER 4

AI Engineering
Computational Intelligence
Machine Learning
Data Structures and Algorithms
Data Science Essentials

SEMESTER 5

Natural Language Processing
Deep Learning
Computer Network – A Business User’s Approach
Foreign Language 2
MPU U2
Elective 1

SEMESTER 6

AI and Societal Impact
Computer Vision
Professional English 2

SEMESTER 7

Final Year Project 1
Generative AI
Technopreneurship
Elective 2

SEMESTER 8

Final Year Project 2
Cyber Threat Intelligence
Elective 3
Elective 4 (Open Elective)

SEMESTER 9

Industrial Training

ELECTIVES

AI and Its Application
AI in Metaverse
Intelligent Digital Twin
Intelligent Robotics
Prompt Engineering
Emerging Trends in AI
Open Elective

Career Information

Machine Learning Engineer
Creative Designer (Artificial Intelligence)
Software Engineer/System Engineer
Data Scientist
Prompt Engineer
Computer Vision Engineer/Specialist
Data Analyst
Data Engineer
Business Intelligence Analyst
Natural Language Processing (NLP) Engineer
Deep Learning Specialist
Big Data Engineer
Software Developer/Programmer
Robotics Engineer
Cybersecurity Analyst (AI-enhanced)
Autonomous Systems Developer
Predictive Analytics Consultant
AI Consultant

Entry Requirements

New Entry Requirement for Bachelor Programme is Based on (MBOT TTAC Standard Second Edition (Academic Sector))

Pass Diploma MQF level 4 with a minimum CGPA of 2.00 or equivalent;

Pass Advanced Diploma MQF level 5 with a minimum CGPA of 2.00 or equivalent;

Pass STPM or equivalent with a minimum Grade C (CGPA 2.00) in two (2) subjects;

Pass Matriculation/Foundation with a minimum CGPA of 2.00 or equivalent;

Pass STAM (Grade Jayyid) or equivalent;

APEL A as prescribed by MQA;

Other recognised qualifications or equivalent.

Equivalent Entry Requirement is based on MoHE, MQA & Professional Bodies Circular, FAQ, Website & previous approval.

Pass A-Level with minimum Grade D in TWO (2) subjects;
IPTA Foundation/ASASI Qualification which is not accredited by MQA is allowed to enrol into UniKL Bachelor Programme.
Pass in International Baccalaureate (IB) with at least 24 points.
Pass Higher National Diploma (HND) UK (MQF Level 4) in related area and recognized by government of Malaysia and according to approval by UniKL Senate.

Qualification of 12 years of schooling with the following conditions:

It is the highest school qualification in the country of origin;
It can be used as entry qualification for bachelor’s degree programme in the country of origin.

Entry DVM/DKM & DLKM starting 21 April 2020

Pass Diploma Kemahiran Malaysia (DKM)/ Diploma Lanjutan Kemahiran Malaysia (DLKM)/ Diploma Vokasional Malaysia (DVM) with a minimum CGPA of 2.50 and the programme must get Full Accreditation (FA) by MQA or others Accreditation bodies that had been recognized by government of Malaysia and according to approval by UniKL Senate;
Pass the DKM/DLKM/DVM with a minimum CGPA of 2.00 AND have at least two (2) years of work experience in the related field. The programme must get Full Accreditation (FA) by MQA or others Accreditation bodies that had been recognized by government of Malaysia and according to approval by UniKL Senate;

English Language Competency as Entry Requirement (International Students)
UniKL Policy English Language Competency as Entry Requirement (International Students) – UniKL/CQA/POL/06

Minimum requirement IELTS 5.0 or Equivalent.

Note:

For the equivalent, please refer UniKL/CQA/POL/07 Policy Equivalency Score Between IELTS, TOEFL, MUET, PTE, CFE, CAE, CPE & CEFR

Students who enroll with qualification from institutions that fully use English as the language of instruction or from English speaking countries are EXCLUDED from the requirements of competence in English language as stated above.

International Students
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Fee:

Local Student:
Full Time:
RM12,800.00 (Per Semester)
RM 76,800.00 (Total Tuition Fee)

Part Time:
RM6,400.00 (per semester)
RM 76,800.00 (Total Tuition Fee)

International Student:
RM 115,200 (Total Tuition Fee)

* Fees shown are the tuition fees only
** Fees shown are not inclusive of visa processing fee (international students)
*** Fees and charges are subject to Malaysian Sales and Service Tax (SST) at the prevailing rate of 6%. SST implementation.
**** Fees shown are correct at time of publication and subject to change without prior notice.