Bachelor in Information Technology (Data Analytics) (Honours)
in Collaboration with HELP University

KPT/JPT (N/0611/6/0106) 12/29 MQA (PA17270)

Programme Overview

Looking to build a career in one of today’s most in-demand fields? The Bachelor in Information Technology (Data Analytics) (Honours)  in collaboration with HELP University is designed to develop well-rounded professionals with the essential competencies for success in the evolving field of data analytics. It emphasizes proficiency in analytical techniques and tools while fostering critical thinking, effective communication, and problem-solving skills for complex data challenges. The programme employs the use of the latest AI Technological Tools such as Figma AI, Github Copilot, Google Colab, Wolfram Alpha, Wayground AI and KNIME.

ENQUIRY

why join our data analytics?

  • Get AI-Ready with Pearson! – Boost your future with the Pearson IT Specialist Certification in Artificial Intelligence . Learn real-world AI skills employers want. (T&Cs apply)
  • Comprehensive curriculum: Learn everything from coding, AI, cybersecurity, and software development — all in one program
  • Industry-Relevant Curriculum: Learn cutting-edge skills in Data Analytics, AI, Machine Learning, Big Data, and Cloud Computing aligned with global industry needs.
  • Hands-On Learning: Practical exposure through real-world projects, Final Year Project, and Industrial Internship to prepare you for the job market.
  • Experienced lecturers, personalized guidance, and strong industry connections for career success.

WHAT DOES DATA ANALYTICs MEAN FOR YOUR FUTURE?

 

Aspect

Details

High-Demand Skills

Programming (Python, Java, SQL), Data Analysis, Machine Learning, Cloud Computing, Cybersecurity

Career Opportunities

Data Analyst, Business Intelligence Specialist, Machine Learning Engineer, Cybersecurity Analyst, IT Project Manager

Industry Tools You’ll Master

Programming: Python, Java, SQL

Analytics: Power BI, Tableau

AI & ML: PyTorch, KNIME

Cloud: AWS, Oracle VirtualBox

Project Tools: GitHub, JIRA

Future-Proof Career

Data analytics powers AI, Big Data, and Digital Transformation—skills that remain in demand globally

Global Opportunities

Transferable skills for remote work and international careers

career pathways

Graduates are prepared for entry-level roles such as:

  • Data Analyst
  • System Analyst
  • Data Scientist
  • Data Engineer
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Programme Structure & Courses

YEAR 1
Foundation Stage

This year focuses on these areas of learning:

  • Learn computer architecture and simulate digital circuits using Cisco Packet Tracer.
  • Design and manage relational databases with SQL and tools like MySQL Workbench and Oracle APEX.
  • Understand networking and communication protocols using Cisco Packet Tracer.
  • Operate different operating systems with VMware.
  • Develop programming skills in Java (NetBeans) and Python (Anaconda).
  • Strengthen logical thinking and math foundations.
  • Create interactive web applications using HTML, CSS, JavaScript in Visual Studio Code and XAMPP
 
Programming Languages:
  • Apache NetBeans – Java  
  • Anaconda Python Notebook – Python  
  • Visual Studio Code – HTML, CSS, JavaScript  
  • MySQL Workbench, Oracle APEX, Oracle Data Modeler – SQL 
Software:
  • CISCO Packet Tracer 
  • VMware 
  • Power BI Desktop 
  • XAMPP
AI Tools:
  • Figma AI
  • GitHub Copilot
  • Google Colab
  • Wolfram Alpha
  • Wayground AI
  • KNIME
  • Lucidchart AI
  • PyTorch
  • Tableau Desktop
 
General AI Tools across subjects:
  • Copilot, Perplexity, Gemini, Notebook LM, Claude
 
Subject List:
  • Falsafah dan Isu Semasa
  • Penghayatan Etika dan Peradaban
  • Applied Mathematical Studies OR
  • Professional Communication for Business
  • Object Oriented Programming
  • Introduction to Operating Systems
  • Data Communications and Networking
  • Discrete Mathematics
  • Bahasa Melayu Komunikasi 2
  • Computer Architecture and Organisation
  • Introduction to Database Systems
  • Programming Fundamentals
  • Web Design and Development
  • Analytics for Decision Making
YEAR 2
Foundation Stage

This year focuses on these areas of learning:

  • Learn computer architecture and simulate digital circuits using Cisco Packet Tracer.
  • Design and manage relational databases with SQL and tools like MySQL Workbench and Oracle APEX.
  • Understand networking and communication protocols using Cisco Packet Tracer.
  • Operate different operating systems with VMware.
  • Develop programming skills in Java (NetBeans) and Python (Anaconda).
  • Strengthen logical thinking and math foundations.
  • Create interactive web applications using HTML, CSS, JavaScript in Visual Studio Code and XAMPP
 
Programming Languages:
  • Apache NetBeans – Java  
  • Anaconda Python Notebook – Python  
  • Visual Studio Code – HTML, CSS, JavaScript  
  • MySQL Workbench, Oracle APEX, Oracle Data Modeler – SQL 
Software:
  • CISCO Packet Tracer 
  • VMware 
  • Power BI Desktop 
  • XAMPP
AI Tools:
  • Figma AI
  • GitHub Copilot
  • Google Colab
  • Wolfram Alpha
  • Wayground AI
  • KNIME
  • Lucidchart AI
  • PyTorch
  • Tableau Desktop
 
General AI Tools across subjects:
  • Copilot, Perplexity, Gemini, Notebook LM, Claude
 
Subject List:
  • Falsafah dan Isu Semasa
  • Penghayatan Etika dan Peradaban
  • Applied Mathematical Studies OR
  • Professional Communication for Business
  • Object Oriented Programming
  • Introduction to Operating Systems
  • Data Communications and Networking
  • Discrete Mathematics
  • Bahasa Melayu Komunikasi 2
  • Computer Architecture and Organisation
  • Introduction to Database Systems
  • Programming Fundamentals
  • Web Design and Development
  • Analytics for Decision Making
YEAR 3
Application & Professional Stage
Software:
  • SAS Viya for Learners (Cloud Based) Tracer 
  • VMware 
AI Tools
  • Figma AI (free – helping web design and development)
  • GitHub Copilot (free tier – AI-powered coding assistant)
  • Wayground AI (AI fundamentals)
  • KNIME (data analytics and workflow automation)
  • Lucidchart AI (diagram and flowchart creation with AI assistance)
General AI Tools across subjects
  • Copilot, Perplexity, Gemini, Notebook LM, Claude

2026 Intakes:

  • Jan, May & August
 

Full Fees(Approximately):

  • RM68,400
  • STPM or its equivalent 
    • Min. pass in grade of C (CGPA 2.00) in any TWO (2) subjects or any equivalent qualifications and a credit in Mathematics at SPM level or its equivalent; OR
  • A-Level
    • Min. 2Cs and a credit in Mathematics at SPM/ O Level; OR
  • SACEi
    • ATAR 50 and a credit in Mathematics at SPM Level or its equivalent; OR
  • Sijil Tinggi Agama Malaysia (STAM)
    • Min. pass in grade of Jayyid in any TWO(2) subjects (including a credit in Mathematics at SPM level or its equivalent); OR
  • Matriculation or Foundation
    • Min. CGPA of 2.00 and a credit in Mathematics at SPM level or its equivalent; OR
  • Diploma in Computing (Level 4, MQF) or equivalent *
    • Min. CGPA of 2.50
  • Any Diploma in Science and Technology (Level 4, MQF)*
    • Min. CGPA of 2.75 OR
  • Diploma Kemahiran Malaysia (DKM) / Diploma Vokasional Malaysia (DVM) in Computing fields *
    • Min. CGPA of 2.50 subjected to HEP Senate / Academic Boards’s approval; OR
  • Diploma Lanjutan Kemahiran Malaysia (DLKM) in Computing fields *
    • Min. CGPA of 2.50 subjected to HEP Senate / Academic Board’s approval;

 

Notes: * Candidates for categories (iv) until (vii) with a CGPA below 2.75 but more than 2.00 may be admitted subject to a thorough internal evaluation process.

There are no English requirements for local students. For international students, the English requirements are listed as below:

  • IELTS 5.0
  • MUET Band 3.5
  • TOEFL Essentials (Online) 7.5
  • TOEFL (Internet based) 40
  • Data Analyst
  • System Analyst
  • Data Scientist
  • Data Engineer

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DISTED Pulau Pinang Sdn Bhd
DISTED College (Main Campus)
Reg. No.: 199701020079 (435576-U)
340, Macalister Road,
10450 George Town, Penang, Malaysia.

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Introduction to Information Technology & Information System

This course provides an introduction to information technology and Information systems. The student will be introduced to computer software, hardware, and networking technologies, Information systems, databases as well as information security and privacy. The subject also teaches students to maximize their use of mobile devices, make the most of online tools for collaboration and communication, and fully utilize today’s Internet capabilities. It highlights today’s most current technology trends and developments.