Professional Training That Transforms Dreams Into Reality

Pearson International BTEC Level 5 Higher National Diploma in Computing (Data Analytics)

BTEC Higher National qualifications in Computing include enhanced work-related curriculum that is designed to address an increasing need for high quality professional and technical education pathways at Levels 4 and 5, equipping students with the right skills and competencies for the workplace, or progression to further higher education study. 

The purpose of Pearson BTEC Higher Nationals is to develop students as independent-thinking professionals who can meet the demands of employers and adapt to a constantly changing world. The qualifications aim to widen access to higher education and improve the career prospects of those who take them.

On successful completion of this program, students will understand the theoretical foundation of data analytics, data analytic processes and techniques. They will also gain hands-on experience of implementing data analytic processes and techniques using a programming language such as Python, R, or a tool such as Weka, KNIME, Power BI, Excel etc. As a result, students will develop skills such as communication literacy, critical thinking, analysis, reasoning and interpretation, which are crucial for gaining employment and developing academic competence.

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Course Overview

The curriculum spans Levels 4 and 5 and includes a balance of core computing units alongside specialist data analytics modules. It emphasizes real-world applications of analytics, covering programming, machine learning, big data visualization, and operating systems.
 

Intakes
months

Duration
2 year

Awarding Institution
Pearson (UK)

Delivery

Locations
Dubai

Fees

Total Credit
120 credits

What will you achieve?

    Graduates will understand data analytics theory and processes and gain hands-on experience with tools and programming languages. They will develop key competencies in communication, critical thinking, analysis, and data interpretation—all essential for the workplace or further academic study.
     

Career opportunities

Upon graduating, you'll be prepared for roles such as:

  • Data Analyst

  • Big Data Analyst

  • Machine Learning Analyst

  • Data Visualization Specialist

  • Cloud Computing Specialist

  • Cyber Security Specialist

  • E-Commerce Business Developer

  • Strategy Analyst

Structured Learning, Fair Assessment, Clear Entry Path

A focused curriculum, balanced evaluations, and straightforward entry criteria guide every learner’s success journey.

Year 1 (Level 4) – Core Units:

  • Programming

  • Networking

  • Professional Practice

  • Database Design & Development

  • Security

  • Planning a Computing Project

  • Data Analytics

  • Website Design & Development
    Year 2 (Level 5) – Specialist Data Analytics Units:

  • Computing Research Project

  • Business Process Support

  • Advanced Programming for Data Analysis

  • Machine Learning

  • Big Data Analytics and Visualization

  • E-Commerce & Strategy

  • Operating Systems

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  • Coursework-based only; no final written exams.

  • Focuses on applying data analytics, computing, and professional skills to real-world scenarios.

  • Units are assessed through practical projects, assignments, and research tasks.

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  • Academic: Grade 12 (High School) pass OR Level 3 vocational qualification in a relevant field

  • English Language (if applicable):

    • PTE Academic: 51, OR

    • IELTS Academic: 5.5 (with at least 5.5 in Reading and Writing)

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