Data Analytics - BSc Honours Degree (Top-up)
Summary
Take your data skills to an advanced level with the final year of the Data Analytics degree at Blackpool and The Fylde College. This Level 6 top-up programme is designed for students who have completed the foundation degree and want to specialise in analysing, interpreting, and applying data to real-world challenges.
You will explore advanced topics such as statistical programming, big data, and strategic decision-making, developing the ability to turn complex datasets into meaningful insights. A major focus of the course is your final project, where you will investigate a real or simulated data problem and present a professional solution.
This course prepares you for a career in a data-driven world, where organisations rely on insight, analysis, and evidence-based decision making.
Entry Requirements
To apply for the Data Analytics top-up degree, you must have successfully completed the FdSc. Data Analytics at Blackpool and The Fylde College.
Next course dates
| Start date | Location | Duration / Fees | |
|---|---|---|---|
|
13 Sep 2027
|
University Centre
|
1 Year
/
£0
|
Where can this subject lead?
Career progression
Graduates of the Data Analytics top-up degree are well prepared for roles that require strong analytical thinking and technical expertise. You will develop advanced skills in data modelling, statistical analysis, and communication, enabling you to move into more specialised positions.
Career paths may include Data Analyst, Business Intelligence Analyst, Data Scientist, or Big Data Analyst. These roles focus on interpreting data, identifying trends, and supporting strategic decision-making across a wide range of industries.
You may also choose to continue your studies at postgraduate level in areas such as Data Science, Artificial Intelligence, or Data Engineering, further enhancing your career opportunities.
Next steps at B&FC
After completing this top-up degree, you will be ready to enter the data sector or progress into postgraduate study. With a strong portfolio of analytical work and advanced technical skills, you will be well positioned to pursue roles in industries that rely on data-driven decision making, including finance, healthcare, and technology.
Employment Opportunities
This course prepares you for a variety of roles within the data and technology sectors. Typical job titles include:
- Data Analyst
- Business Intelligence Analyst
- Data Scientist
- Big Data Analyst
- Digital Marketing Analyst
- Data Consultant
- Insights Analyst
These roles focus on using data to support decision-making, improve performance, and identify new opportunities.
Key information
Fees 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 disabilities.
Extra costs and equipment
All required software and tools are available through college facilities and remote access systems. It is recommended that you have access to a personal PC or laptop to support independent study, although on-site resources are available.
There may be opportunities to attend industry events, conferences, or visits. Some of these may involve a contribution towards costs, although support may be available depending on the activity.
What will I learn?
The Data Analytics top-up degree focuses on advanced analysis, programming, and strategic thinking. You will build on your existing knowledge to work with complex datasets and develop meaningful insights.
Statistical Programming for Data
Develop your ability to work with data using programming tools, applying statistical methods to analyse and interpret datasets.
Strategic Decision Making
Learn how to use data to inform business decisions, exploring forecasting, modelling, and analytical techniques.
Big Data and Digital Ethics
Understand how large datasets are managed and analysed, alongside the ethical responsibilities involved in handling data.
Forecasting and Communication
Develop your ability to present data clearly and effectively, turning complex analysis into understandable insights.
Final Project
Complete a major independent project where you research, analyse, and present a data-driven solution to a real-world problem.
How will I learn?
Your learning is centred around practical data work, analysis, and independent research. You will take part in workshops, tutorials, and lab sessions that reflect real-world data environments.
You will use industry-standard tools and programming platforms to analyse data, build models, and create visualisations. Alongside this, you will develop your skills through individual tasks, group work, and guided research.
To support your development, you will benefit from:
- One-to-one tutorials and project supervision
- Access to data tools and remote platforms
- Online resources through Canvas and Microsoft Teams
- Regular feedback to improve your work
- Independent study to support your final project
This approach helps you develop both technical expertise and professional confidence.
Expert tutors
All tutors involved in the delivery of courses and apprenticeships within the College are approved to teach the subjects and modules they deliver.
Our recruitment process ensures that tutors delivering a given programme are suitably qualified and, where appropriate, possess relevant technical and industrial experience and a familiarity with professional practice. The aim of this is to enrich students’ learning experience, giving them an insight into what working in the industry is really like.
Learning Methods
| Learning Method | Level 4 | Level 5 | Level 6 |
|---|---|---|---|
| Scheduled | 0 | 0 | 288 |
| Independent | 0 | 0 | 912 |
| Placement | 0 | 0 | 0 |
| Total | 0 | 0 | 1200 |
How will I be assessed?
The Data Analytics top-up degree includes a focused set of modules designed to develop advanced analytical skills and independent thinking. Assessment is based on a combination of practical data work and written analysis.
Final Project is assessed through a major piece of coursework that includes research, analysis, and a detailed report, supported by outputs such as data models or visualisations.
Statistical Programming for Data is assessed through practical analysis tasks and written explanation of your approach.
Strategic Decision Making includes both practical and written assessments, focusing on applying data insights to business problems.
Big Data and Digital Ethics is assessed through a mix of practical tasks and written analysis, exploring large datasets and ethical considerations.
Forecasting and Communication is assessed through practical outputs and written work, demonstrating your ability to present and interpret data effectively.
These assessments are designed to help you build a strong portfolio that showcases your analytical ability, technical skills, and readiness for industry.
| Assessment Method | Level 4 | Level 5 | Level 6 |
|---|---|---|---|
| Coursework | 0% | 0% | 60% |
| Exam | 0% | 0% | 0% |
| Practical | 0% | 0% | 0% |