Overview
Build in-demand data skills while working in industry. Analyse real data, create insights and shape decisions.
If you enjoy problem-solving, spotting patterns and working with data, this apprenticeship gives you the skills to turn information into insight. You’ll learn how to analyse, visualise and communicate data, all while gaining real experience in the workplace.
What is a Data Analyst apprenticeship?
Our Data Analyst Level 4 Apprenticeship prepares you to collect, analyse and communicate data insights that drive real-world decisions. You’ll learn the full data lifecycle, from gathering and cleaning data through to modelling, visualisation and presenting results.
On this course, you will be employed in a full-time or part-time role with your employer and study in partnership with the University of Chichester. You will attend university part-time, in addition to studying independently outside of your work hours.
On successful completion of this course, you will be awarded a Level 4 Certificate of Higher Education (CertHE), equivalent to the first year of a full bachelor’s degree, providing you with a clear progression route into higher-level study.
To apply for this apprenticeship, you need to apply directly to an employer, not the university.
Why choose this apprenticeship?
- Learn in-demand digital and data skills sought across multiple industries
- Apply your learning directly in your workplace
- Build a professional portfolio of real projects
- Develop expertise in AI, analytics and data governance
- Gain a recognised higher education qualification alongside your apprenticeship
Build in-demand skills
During your apprenticeship, you will gain expertise in critical business skills, including:
- Data analysis and visualisation
- Applied AI
- Procedural programming
- Code testing and debugging
- Version control workflows
- Data governance, ethics and privacy
- Understanding relational database systems
- Computational problem-solving mathematical skills
Boost your career
In today’s digital economy, data drives the strategies of every successful organisation, making skilled data analysts some of the most sought-after professionals in the workforce.
This degree apprenticeship equips you with the advanced analytical toolkit and strategic insight your employer needs today, positioning you to lead data-driven change and fast-track your career growth.
Typical roles that this apprenticeship would benefit include junior or departmental data analysts, reporting analysts, marketing/operations analysts, and similar posts across the public and private sectors.
No tuition fees
Your employer covers the cost of your training, meaning you graduate without student debt.
The Course
What you will study
Our Data Analyst Apprenticeship is designed to provide you with core theoretical and applied skills, including programming, mathematics, data governance, data analytics, visualisation, and applied artificial intelligence.
You will be able to apply your learning to real-world situations by helping your organisation make informed, data-driven decisions.
Our approach to teaching and assessment ensures that you develop additional skills valued by employers, such as project management, teamwork, communication and self-awareness.
Modules
This list is indicative and subject to change.
- Procedural Programming
- Core Mathematics
- Database Systems
- Data Governance, Ethics and Privacy
- Applied AI
- Data Analytics and Visualisation
Procedural Programming
In this module, you will be introduced to the fundamental concepts, methodologies, and techniques of modern programming, with a focus on core principles applicable to software development and data science.
Topics covered include syntax, variables and data types, expressions and assignment, input and output, conditionals, loops, and functions. You will be taught how to write clear, efficient and reproducible code, and begin developing a professional portfolio of practical coding projects which you will continue to expand upon throughout your degree.
You will also learn how to set up and maintain a cloud-based repository to showcase your work, supporting you to build a compelling ‘online CV’ for future career opportunities.
Core Mathematics
In this module, you will gain the foundational mathematical knowledge and skills essential for the study of computer science and data science. The curriculum includes topics from discrete mathematics, linear algebra, logic and probability, focusing on applications in computational problems.
You will gain knowledge of the mathematical tools needed to analyse, model and solve problems in computer science and data science.
Database Systems
This module focuses on relational databases, introducing you to database software, design, creation, management and implementation. It begins with conceptual entity-relationship design, followed by logical database design and physical database creation. You will learn to design and implement a relational database using various interfaces, such as the bash terminal, phpMyAdmin, and MySQL Workbench.
You will become proficient in applying the principles of CRUD (Create, Read, Update, Delete) via Structured Query Language (SQL) and gain knowledge about the concept of normalisation, including normal forms and how they reduce redundancy and duplication. Additionally, you will develop skills in writing stored procedures, managing transactions, and creating triggers, as well as accessing databases through third-party applications and programs.
Data Governance, Ethics and Privacy
This module aims to provide an understanding of data governance, ethics, and privacy, ensuring students develop the necessary skills to manage, protect, and regulate data responsibly.
In this module, you will be introduced to key legal frameworks, ethical considerations, and data quality principles, enabling students to apply best practices for compliance, security, and transparency in data management.
Applied AI
This module provides a practical introduction to Artificial Intelligence (AI) applications, focusing on hands-on model building, deployment, and evaluation. You will gain hands-on experience working with industry-relevant AI technologies and frameworks while also considering ethical and governance considerations.
Data Analytics and Visualisation
This module provides you with an introduction to data analytics and visualisation, focusing on statistical techniques, data preparation, and exploratory data analysis.
You will develop proficiency in Python-based data science libraries, applying statistical methods to extract insights from data, identify patterns, and communicate findings effectively through written language and data visualisation.
Teaching and Assessment
Feel the support of our expert and experienced staff
How you will learn
You will attend university part-time alongside your apprenticeship with an employer. You will attend scheduled lectures and learn through practical classes, workshops and laboratory time.
Smaller class sizes to help your development
Our commitment to smaller class sizes helps you feel more confident discussing your ideas in a supportive environment, and it lets your tutors get to know you and how best to support your development.
Assessment
You will be assessed through a range of assignments that could include:
- Practical work
- Project work
- Presentations
- Written reports
Facilities
Learn at our stunning Bognor Regis campus
Bognor Regis campus
Our Bognor Regis campus boasts our £35m Tech Park, beautiful Georgian architecture and is within walking distance of the sea.
Expert staff
Our industry-experienced staff get to know you and your learning needs to help you thrive.
Computing labs
You will be surrounded by latest equipment and technology, with access to labs with Macs, PCs and LCD screens.
Learning Resource Centre
The Learning Resource Centre (LRC) contains the library, a café, IT/teaching rooms and the Support and Information Zone (SIZ).
Library
Our campus library holds more than 200,000 books and over 500,000 eBooks.
Course Costs
Your tuition fees will be paid by your employer and/or the Government so you will graduate without tuition fee debt.
As an employee you will receive your salary from your employer and be eligible for employee benefits while you study. You will not be eligible for a student loan.
To find out about any additional costs on this course, please see our Additional Costs page.
Entry Requirements
GCSE Mathematics and/or an A Level STEM subject or other relevant qualification.
FAQs
Frequently asked questions
You need to apply directly to an employer for a degree apprenticeship, unlike traditional degree programmes.
You will be employed in a full time or part time role while studying in partnership with the University of Chichester.
Many qualifications have a UCAS Tariff value. The score depends on the qualification, and the grade you achieved.
Head to the UCAS Tariff Points web page where you can find a tariff points calculator that can tell you how much your qualification and grades are worth.
If you have any other questions please contact apprenticeships@chi.ac.uk.