Data Analytics - Foundation Degree (Progression from Cert HE)
Summary
After completing the first year of the Digital Enterprise programme, you can choose to specialise by progressing into the second-year foundation degree in Data Analytics. This pathway is designed to help you understand how data is collected, analysed, and presented to support decision-making across modern organisations.
You will develop practical skills in data modelling, visualisation, and statistical analysis while exploring how data is used ethically and strategically in digital industries. Using real-world datasets, you will learn how to produce clear and meaningful insights that solve problems and support business strategy.
This course is ideal for anyone who enjoys working with numbers, patterns, and logical thinking, and wants to explore how data plays a vital role in sectors such as marketing, business, finance, and health. You will also build a portfolio of data-driven projects using industry-standard tools that show your ability to work confidently and professionally with data.
- Course code DP1HE0004
- Duration 1 Year
- Day/s of week Monday
- Time 09:00 - 16:00
Next course dates
| Start date | Location | Duration | |
|---|---|---|---|
|
07 Sep 2026
|
University Centre
|
1 Year
|
Before applying, please check whether you meet the entry requirements under 'Key Information' for this course. Don't hesitate to call us on 01253 504343 if you need assistance.
Where can this subject lead?
Career progression
With businesses increasingly rely on data-driven insights to improve decision-making, enhance efficiency, and gain a competitive edge, there are increasing employment opportunities for data analysts, data scientists, business intelligence specialists, and machine learning engineers. Major industries such as finance, healthcare, retail, and technology are actively investing in analytics talent. With London emerging as a key global data hub, the UK offers a dynamic and rewarding environment for careers in data analytics.
The Data Analytics foundation degree prepares you for a wide range of roles where data is used to inform decisions, improve performance, or understand user behaviour. You will graduate with practical skills in analysis, visualisation and interpretation that are valued across both public and private sectors.
You can also choose to progress directly into the final year of the BSc (Hons) Data Analytics degree at Blackpool and The Fylde College. This allows you to continue building your expertise in applied data science, advanced statistics, and machine learning, while completing a major research project.
Next steps at B&FC
BSc (Hons) Data Analytics
Employment Opportunities
Career options include:
- Junior Data Analyst working with datasets to find trends and insights that support decision-making
- Business Intelligence Assistant supporting teams with reports, dashboards, and data modelling
- Insight Officer using data to monitor business performance or customer behaviour
- Digital Analyst focusing on web and marketing data to help shape strategy
Key information
Entry Requirements
To progress onto the Foundation Degree (Year 2) in Data Analytics at Blackpool and The Fylde College, you must have successfully completed the Certificate of Higher Education in Digital Enterprise (Year 1).
Applicants must have:
- Successfully completed all Level 4 modules within the Digital Enterprise programme
- Achieved a pass in the Certificate of Higher Education (120 credits at Level 4)
Applications with alternative qualifications or prior learning will be considered on an individual basis.
Qualification obtained
FdSc Data AnalyticsFees and funding
Visit our Tuition Fees page and Financial Support for Degrees page for more information about fees and funding, including additional financial support for those on low incomes, with dependent children or adults or with disabilties.
Extra costs and equipment
You will not be required to purchase any additional equipment to undertake this programme as the college has resources available to students.
Regulation and Accreditation
Accrediting Institute: N/A
Awarding Body: The University of Lancaster
Regulatory Body: Office for Students (OfS)
Terms and conditions
Please visit our Student Terms and Conditions page for more information.
What will I learn?
The Data Analytics foundation degree (Digital Enterprise pathway) focuses on helping you develop the technical and professional skills to collect, analyse, and communicate data effectively. You will work with real datasets, apply statistical techniques, and use modern tools to turn information into valuable insight. The course builds your confidence in data handling, while preparing you to make responsible and ethical decisions in data-driven environments.
You will study the following modules:
- Data Modelling and Visualisation introduces tools and techniques for transforming raw data into clear visual outputs. You will create charts, dashboards, and infographics that make complex information easier to understand.
- Principles of Data Analytics explores how data is used to spot patterns, solve problems, and support decision-making. You will learn how to work with different types of data and apply techniques such as correlation and regression.
- Digital Marketing teaches you how data is used to target audiences, track engagement, and improve online campaigns. You will explore key metrics, digital tools, and how data supports marketing decisions.
- Global Communication Trends looks at how digital communication is changing across the world. You will explore cultural differences, digital behaviours, and how data helps organisations adapt to global audiences.
- Project Management helps you plan and deliver digital projects. You will learn how to break down tasks, manage deadlines, and work as part of a team using tools and techniques from industry.
- Work-Based Learning gives you the chance to gain experience on a real project or placement. You will build a portfolio of evidence and reflect on your development, preparing you for further study or employment.
Industry placement, field trips and guest speakers
As part of the Work-Based Learning module, you will complete a short placement or live project that gives you the chance to apply your data skills in a professional setting. This could involve working with an employer, contributing to a real brief, or gaining experience on campus with tutor support. The delivery team will help you find a placement or project that matches your interests and goals.
In addition, all Digital Enterprise students benefit from guest speaker sessions throughout the year. These talks give you the chance to hear from professionals working in digital, data, and tech-focused roles. You will gain insight into how data is used across industries, what tools are in demand, and how to shape your next steps in the sector.
How will I learn?
The Data Analytics pathway combines practical learning with tutor-led guidance to help you build real skills and confidence with data. You will learn through a mix of workshops, seminars, tutorials, and guided tasks, with regular opportunities to apply what you’ve learned using real-world datasets and tools.
You will explore core techniques through hands-on projects, collaborative activities, and individual research. Whether you're analysing data, presenting your findings, or managing a project, you will be supported at every stage.
You will also benefit from:
- Weekly drop-in workshops for extra support
- One-to-one tutorials and regular progress reviews
- Digital learning resources on Canvas and Microsoft Teams
- Feedback designed to help you improve and grow
- A blend of independent study and group learning activities
This approach ensures you can develop both the technical and transferable skills that employers in the data sector are looking for.
Expert tutors
Our Digital Enterprise programmes are delivered by a team of experienced tutors who are passionate about teaching and up to date with the latest developments in their fields. Whether your focus is on data analysis, digital strategy, or technical development, you will be supported by staff who bring both academic expertise and real-world insight into the classroom.
Our tutors regularly update their knowledge through ongoing professional development, ensuring your learning is informed by current tools, techniques, and industry expectations. This includes gaining new certifications, engaging with employer networks, and contributing to curriculum development that reflects the needs of the digital sector.
You will benefit from small class sizes, personalised support, and regular one-to-one guidance. The team are committed to helping you succeed, and will work with you to build your confidence, develop your skills, and prepare you for your next steps.
Learning Methods
| Learning Method | Level 4 | Level 5 | Level 6 |
|---|---|---|---|
| Scheduled | 0 | 288 | 0 |
| Independent | 0 | 880 | 0 |
| Placement | 0 | 32 | 0 |
| Total | 0 | 1200 | 0 |
How will I be assessed?
The Data Analytics foundation degree (Digital Enterprise pathway) includes six modules that will help you develop practical skills, apply what you learn to real-world tasks, and build confidence with data. Each module is assessed through a combination of coursework, written work, and practical activities — all designed to reflect how data is used in industry.
- Data Modelling and Visualisation is assessed through a practical data task and a written report. You will demonstrate how to turn raw data into clear, visual outputs using industry-standard tools.
- Principles of Data Analytics includes both a practical analysis task and a short written reflection. You will apply techniques like correlation and forecasting to explore trends and patterns.
- In Digital Marketing, you will plan and review a digital campaign. Assessment includes a portfolio of work and a reflection on how data supports marketing decisions.
- Global Communication Trends is assessed through two written assignments, where you will explore how global audiences interact with digital platforms and how data helps shape communication strategies.
- Project Management is assessed through a group or individual project and a supporting report. You will demonstrate your ability to plan, manage, and deliver a successful outcome.
- Work-Based Learning is assessed through a digital portfolio and a short reflection on your experience. This includes updating your CV, reviewing your skills, and preparing for your next steps.
These assessments are designed to support your development and provide you with evidence of your abilities for future study or employment.
| Assessment Method | Level 4 | Level 5 | Level 6 |
|---|---|---|---|
| Coursework | 0% | 67% | 0% |
| Exam | 0% | 0% | 0% |
| Practical | 0% | 0% | 0% |