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Bachelor of AI & Data Science

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Course Details

Duration3-4 years
Credits160 Credits
LanguageEnglish
Credit TransferAvailable
CertificateInternational Standard
Mode of StudyBlended
Fees$13000 RM

Description
Curriculum
Training & Other Facilities
Duration & Delivery

This qualification reflects the role of individuals who apply advanced knowledge, computational thinking, statistical reasoning, and analytical skills in artificial intelligence and data science across complex, data-driven, and rapidly evolving technological environments.

Individuals at this level develop the ability to collect, process, analyse, visualise, and interpret complex datasets while designing and implementing intelligent systems. They acquire in-depth knowledge in programming, mathematics, statistics, machine learning, data analytics, database technologies, artificial intelligence, and data science methodologies.

They utilise critical thinking, research capability, and technical expertise to develop predictive models, analyse patterns, build machine learning algorithms, and generate data-driven insights for real-world problems. They also explore emerging areas such as deep learning, natural language processing, computer vision, big data analytics, data visualisation, cloud computing, and generative AI.

Graduates are capable of conducting data-driven experiments, developing and evaluating AI and statistical models, managing complex datasets, and applying advanced analytical frameworks while working independently or collaboratively on multidisciplinary AI and data science projects.

This qualification prepares graduates for professional roles in artificial intelligence, data science, machine learning, data analytics, business intelligence, and data-driven technologies, as well as research and postgraduate studies in AI, data science, computer science, and related fields.

There are no specific academic prerequisites for this qualification.

General Entry Requirements (International Students)

Minimum age of 18 years or above
Completion of Year 12 or equivalent qualification
English proficiency or proof that the medium of instruction in previous education was English

These requirements ensure students are prepared for academic success in higher education programs.

Blended Learning (Online + Face-to-Face)
Flexible Learning Support with Guided Academic Assistance

Our study mode is designed to provide flexibility for both local and international students while maintaining academic quality and engagement.

Students who complete this course may wish to continue their education into the BSB60420 Advanced Diploma of Leadership and Management or a range of Advanced Diploma qualifications, as well as higher education qualifications in business or management.

Program Structure – Bachelor of Artificial Intelligence (160 Credits)

This program is designed to provide advanced technical knowledge and practical skills in Bachelor of Artificial Intelligence. The total credit requirement is structured as follows:

Category	Description	Credits
AI & Data Science Foundations	Fundamental concepts of artificial intelligence and data science, including mathematics, statistics, programming, computational thinking, data literacy, and AI fundamentals	40
Programming & Data Analytics	Python programming, data structures, databases, data analysis, statistical computing, data visualisation, and exploratory data analysis	30
Machine Learning & Deep Learning	Supervised and unsupervised learning, predictive modelling, neural networks, deep learning architectures, model evaluation, and optimisation techniques	30
Data Engineering & Big Data	Data collection, data cleaning, databases, data pipelines, cloud data platforms, big data technologies, and scalable data processing	25
AI & Data Science Applications	Real-world applications of AI and data science including natural language processing, computer vision, generative AI, business intelligence, and intelligent decision-support systems	20
Capstone Project & Professional Practice	Comprehensive industry-based project involving data collection, analysis, AI model development, evaluation, visualisation, and real-world implementation	10
Electives / Specialisation	Advanced modules in areas such as NLP, computer vision, generative AI, business analytics, cloud AI, data visualisation, AI ethics, and responsible AI	5
Total		160

Artificial Intelligence Engineer
Machine Learning Engineer
Data Scientist
Data Analyst
Business Intelligence Analyst
AI Research Assistant
Deep Learning Engineer
Data Engineer
Big Data Analyst
Computer Vision Engineer
Natural Language Processing (NLP) Engineer
Generative AI Developer
AI Software Developer
Intelligent Systems Developer
AI Solutions Analyst
Machine Learning Operations (MLOps) Engineer
Data Visualisation Specialist
AI Model Validation Specialist
AI & Data Science Consultant
AI Systems Support Engineer

These diverse career pathways highlight the strong industry relevance of the Bachelor of AI & Data Science, preparing graduates for a wide range of professional roles across artificial intelligence, data science, machine learning, data analytics, big data, intelligent systems, automation, and emerging data-driven technologies.

*Career opportunities may vary based on experience, specialization, professional skills, and industry demand.

State-of-the-art computer laboratory with high-speed internet and industry-standard IT software supporting hands-on practical learning and innovation.

Smart classroom facilities with data projectors and digital learning tools enhancing interactive teaching and presentations.

Resource borrowing service providing access to essential books, reference materials, and academic resources.

Printing and photocopying facilities ensuring smooth academic workflow and productivity.

Dedicated common area for collaboration, relaxation, and peer interaction.

A modern, supportive, and technology-rich environment designed to empower students for academic and professional success.