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Overview
Become a data science expert while you complete your apprenticeship
When you complete this apprenticeship you will be awarded the Data Scientist Degree Apprenticeship.
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, as well as studying independently outside of your work hours.
To apply for this degree apprenticeship you need to apply directly to an employer, not the University.
Why data science?
If you’re inquisitive, enjoy solving complex problems and presenting stories through data in a meaningful way, then our data science degree apprenticeship is for you.
Data science has grown exponentially over the last decade, playing an important role in industry and government. As a result, data scientists have growing influence and power, as decisions taken using data affect individuals and communities around the world in more ways than ever before.
Our data science degree apprenticeship is designed to prepare you for a rewarding career in this fast-growing field. Through a blend of theoretical foundations and practical skills, our programme equips you with the knowledge and expertise you need to succeed in today’s rapidly changing data science landscape.
Upon graduation, you will be well-prepared for a wide range of career paths, including software development, data science, informatics and more. You’ll have the skills and experience required to recognise different types of data and design, to implement and optimise appropriate methods of analysis to succeed in an ever-evolving tech industry.
Study a wide range of specialist areas, including:
- Algorithms and data structures
- Computer systems
- Mathematical principles
- Programming languages and software development
- Interpreting data
- Artificial intelligence (AI) and machine learning.
Apply your learning to practical projects
Throughout your degree apprenticeship, you will use your newly-acquired skills and knowledge to inform your work on various practical projects.
Learn from our team of data science experts
Our team of dedicated, highly-qualified data science experts are here to help support you throughout your studies, as they get to know you and your needs to help ensure you can thrive.
Enhance your career
In our highly-digital age, most industries use data science to inform their strategies and policies, which means graduates with knowledge of these areas are in high demand.
We provide you with the knowledge and skills needed by your employer to help you stand out and allow you to thrive within a professional space.
On this course you will:
- Learn while you earn, studying at university part-time alongside your job
- Engage in a practical, applied approach to learning data science
- Apply your learning through practical projects related to industry needs
- Learn from our team of expert and experienced teaching staff
- Gain the skills and knowledge needed for a successful career after you graduate.
The Course
What you will study
Our curriculum covers a wide range of topics, including programming languages, data structures, algorithms, cyber security, artificial intelligence, data analytics, software engineering and computer architecture.
You will also have the opportunity to gain hands-on experience through capstone projects with real-world applications, and you’ll be learning on the job in your apprenticeship.
Our approach to teaching and assessment also ensures that you develop those additional skills valued by employers, such as project management, team work, communication and self-awareness.
Modules
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.
Algorithms and Data Structures
This module will introduce you to the concept of algorithms as systematic, logical sequences to solve computational problems. You will learn techniques for the design of efficient algorithms and find out how to use appropriate mathematical tools for analysing their performance. Additionally, the module explores key data structures and their role in computational problem-solving.
The module will equip you with the skills to design, implement and analyse algorithms while developing a deeper understanding of computational complexity.
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 workshops, interactive seminars, practical, lab-based activities and seminar discussions.
Smaller class sizes to help your development
Our commitment to smaller class sizes allows you to feel more confident to discuss your ideas in a supportive environment and allows your tutors get to know you and how best to aid your development.
Assessment
You will be assessed through a range of assignments that could include:
- Coursework
- Project work
- Written exams.
Facilities
Learn in our state-of-the-art Tech Park
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
Typical offer:
UCAS
A levels
BTEC
Access to HE Diploma
International Baccalaureate
IELTS
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.
