How can students improve their chances of admission at Universal Institute of Business & Technology?

Students can improve their admission chances by submitting complete and accurate documents, meeting English and academic entry requirements, and applying early to secure available intakes.

What documents are important for a smooth admission process at Universal Institute of Business & Technology?

Important documents include academic transcripts, valid identification, English proficiency evidence, and any required supporting statements. Submitting clear and up-to-date documents helps avoid admission delays.

How does early application help with admission at Universal Institute of Business & Technology?

Applying early gives students more time to complete verification steps, receive offer updates, and plan visa or enrollment requirements. It also improves access to preferred course intakes.

Can admission support services help applicants at Universal Institute of Business & Technology?

Yes, admission support services can guide applicants on eligibility, document preparation, and application steps. This guidance improves application quality and helps students complete the process confidently.

Universal Institute of Business & Technology

Course Details

Duration1-2 years
Total Credits80 Credits
LanguageEnglish
Credit TransferAvailable
CertificateInternational Standard
Mode of StudyBlended
Fees$6000 RM

Description
Curriculum
Training & Other Facilities
Duration & Delivery

This qualification reflects the role of individuals who apply advanced and specialised knowledge in artificial intelligence, data science, machine learning, and computational technologies across complex, research-driven, and rapidly evolving technological environments.

Individuals at this level develop the ability to design, develop, evaluate, and deploy advanced AI and data-driven solutions that address real-world problems. They acquire in-depth expertise in machine learning, deep learning, neural networks, data analytics, statistical modelling, data engineering, big data technologies, and advanced programming techniques.

They utilise critical thinking, advanced analytical skills, research methodologies, and high-level technical expertise to discover insights from complex datasets, develop intelligent models, optimise predictive systems, and create innovative solutions in areas such as natural language processing, computer vision, predictive analytics, business intelligence, big data, data mining, and cloud-based AI and data platforms.

Graduates are capable of conducting advanced research, collecting and managing large-scale datasets, developing and validating AI and statistical models, interpreting complex data, and implementing scalable data-driven systems while working independently or leading multidisciplinary teams on complex AI and data science projects.

The program also emphasises ethical AI, responsible data management, data privacy, security, transparency, fairness, and the responsible deployment of AI and data-driven technologies in accordance with professional and societal requirements.

This qualification prepares graduates for advanced professional, leadership, and research roles in artificial intelligence, data science, machine learning engineering, data analytics, AI and data architecture, business intelligence, data engineering, and innovation-driven industries, as well as doctoral-level studies in AI, data science, computer science, and related advanced computing disciplines.

There are no specific academic prerequisites for this qualification.

General Entry Requirements (International Students)

Minimum age of 18 years or above
Completion of Year 15 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 – Master of Artificial Intelligence & Data Science (80 Credits)

This program is designed to provide advanced technical knowledge and practical skills in artificial intelligence and machine learning. The total credit requirement is structured as follows:

Category	Description	Credits
Advanced AI & Data Science Foundations	Advanced concepts in artificial intelligence and data science, including machine learning theory, statistical modelling, data analytics, advanced programming, and computational intelligence	20
Machine Learning & Deep Learning	Advanced machine learning algorithms, neural networks, deep learning architectures, model training, evaluation, optimisation, and predictive modelling	15
Data Science, Analytics & Big Data	Advanced data analysis, data mining, data visualisation, statistical analytics, big data processing, data engineering, and data-driven decision-making	15
AI & Data Systems Engineering	Design, development, integration, and deployment of scalable AI and data systems, including cloud computing, MLOps, data pipelines, and production-level implementation	10
Advanced AI & Data Science Applications	Advanced applications including natural language processing, computer vision, generative AI, business intelligence, predictive analytics, intelligent automation, and real-world data science solutions	10
Research Methods, Ethics & Responsible AI	Advanced research methodologies, experimental design, academic research, data ethics, privacy, security, responsible AI, and professional practice	5
Master’s Thesis / Capstone Project	Independent research or industry-based AI and data science project involving problem definition, data collection, analysis, model development, evaluation, and implementation	5
Total		80

Artificial Intelligence Engineer
Machine Learning Engineer
Data Scientist
AI Research Scientist
Deep Learning Specialist
Data Science & Analytics Specialist
Computer Vision Engineer
Natural Language Processing (NLP) Engineer
Generative AI Engineer
AI & Data Solutions Architect
Big Data Engineer
Data Engineer
MLOps Engineer
AI Systems Developer
Business Intelligence & Data Analytics Specialist
AI Product Manager
Intelligent Automation Specialist
AI & Data Consultant / Technology Analyst
Predictive Analytics Specialist
AI & Data Science Researcher

These diverse career pathways highlight the strong industry relevance of the Master of AI & Data Science, preparing graduates for advanced professional, leadership, and research roles across artificial intelligence, machine learning, data science, data analytics, big data, intelligent automation, and AI-driven technology industries.

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

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

Smart classroom facilities featuring data projectors and digital learning tools that enhance interactive teaching, collaboration, and presentations.

Well-organized resource borrowing service providing access to books, academic references, and essential learning materials.

Printing and photocopying facilities supporting smooth academic workflow, productivity, and student convenience.

Dedicated student common area designed for collaboration, relaxation, networking, and peer interaction within a balanced campus environment.

A modern, supportive, and technology-rich learning environment empowering students for academic excellence and professional success.

The Master of Artificial Intelligence & Data Science is delivered over a total duration of 1-2 years, structured across 2-4 academic terms.

The program comprises a total of 80 credits, providing a rigorous and specialised postgraduate learning pathway.

Designed to systematically develop deep theoretical knowledge and high-level practical skills in artificial intelligence and data science.

Hands-on experience in machine learning, deep learning, intelligent systems design, data-driven modelling, and AI application development.

Exposure to real-world industry challenges, research-oriented problem-solving approaches, and modern AI tools, frameworks, and platforms.

Prepares graduates for advanced industry roles, research opportunities, innovation-driven careers, and further doctoral studies in artificial intelligence, data science, and intelligent computing systems.

Course Details

Duration1-2 years
Total Credits80 Credits
LanguageEnglish
Credit TransferAvailable
CertificateInternational Certification
Mode of StudyBlended Learning
Learning Platform24/7 Online LMS Access
Face-to-Face ClassInteractive Classroom Learning
Lab ClassPractical Hands-on Training
AssignmentCoursework & Projects
PresentationIndividual & Group Presentation
QuizContinuous Learning Assessment
Class TestPeriodic Performance Evaluation
Career PathwayIndustry-Oriented Programs
Fees$6000 RM

Find what you need

Master of AI & Data Science

Course Details

Course Details

Dean of IT

Jennifer Gampal

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Find what you need

Master of AI & Data Science

Course Details

Course Overview

Entry Requirements

Study Option

Course Structure

Career Outcome

Training and Other Facilities

Duration Details

Course Details

Dean of IT

Jennifer Gampal

Other Courses

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