Step into one of the world’s fastest-growing fields with the BTEC Higher National Diploma (HND) in Computing: Data Analytics—a UK-recognised qualification designed for future-ready tech professionals and data-driven decision makers.

This programme equips you with the core competencies of modern computing alongside advanced data analytics skills, including data modeling, statistical techniques, machine learning fundamentals, Python programming, and the use of industry-standard platforms like Jupyter Notebook & Lab, Google Colab, and Tableau etc.

Delivered face-to-face at SISFU, this 2-year qualification is equivalent to the first two years of a UK bachelor’s degree. Upon completion, you can progress to a top-up degree locally or at partner universities abroad—or enter the workforce with globally competitive skills.

• High-Demand Career Opportunities

Data Analytics is among the most in-demand fields worldwide. This programme prepares you for careers in business intelligence, data science, IT consulting, data engineering, and more.

• Globally Recognised UK Qualification

The Pearson BTEC Higher National Diploma is a well-established UK credential recognised by employers and universities around the world. It provides a clear pathway to a bachelor’s degree or immediate employment.

•  Industry-Relevant Skills from Day One

You will develop hands-on experience in tools and technologies used by data professionals—Python, SQL, Excel, data visualization software, and more—through applied, project-based learning.

• Blended Theory and Real-World Application

Learn how to turn data into strategic business insights, build predictive models, and communicate complex findings to both technical and non-technical audiences.

• Progression to a Full Degree

Graduates can top up their HND to a full UK computing or data analytics degree at SISFU or a partner university abroad.

The HND in Data Analytics is delivered through SISFU’s face-to-face learning model. It combines foundational computing knowledge with advanced data analytics applications using a practical, skills-based approach.

 Key Features of the Learning Experience:

1. Modular Progression from Fundamentals to Expertise

Start with computing essentials—such as programming, networking, and database design—before progressing to advanced analytics, data mining, and machine learning concepts.

2. Hands-On Projects and Case Studies

Build a strong portfolio by working on projects using real-world datasets across industries such as finance, healthcare, retail, and logistics.

3. Tech-Enabled Classrooms

Use state-of-the-art lab tools, cloud-based environments, and analytics software that simulate real-world industry settings.

4. Career-Focused Curriculum

Modules are carefully designed to match industry needs and job market trends, ensuring you graduate with both theoretical grounding and applied experience.

5. No Traditional Exams – Practical Assessment Approach

Assessment is through coursework, data reports, code reviews, visual dashboards, and group collaboration projects, providing a deeper and more meaningful evaluation of your skills.

Graduate Outcomes

After earning your HND, you’ll be prepared for roles such as:

• Data Analyst or Junior Data Scientist
• Business Intelligence Analyst
• Database Administrator or Systems Analyst
• Data Engineer (Entry-Level)
• Digital Transformation Associate
• Continued studies toward a full Bachelor’s degree in Computing, Data Science, or AI