A Level Statistics
Brand new for September 2026! A Level Statistics will give you the skills to interpret real world data to make informed decisions. Students will also build confidence in handling uncertainty, risk and patterns in complex information, whilst developing strong analytical skills and an understanding of the world through data.
- Course Information
- Course Code
- LASTAT
- Validated By
- Edexcel
- Attendance Pattern
- Daytime
- Course Level
- Level 3
- Study Mode
- Full Time
- Course Location
- Langdale Road, Leyland
- Age Group
- School Leavers (16-18)
- Course Duration
- 2 years
- Overview
This A Level is ideal for students interested in Social Sciences, Business, Finance, Economics, Psychology and Health/Sport Sciences.
What Will You Learn?
Hypothesis testing – Learn how to test ideas, draw conclusions and make evidence-based decisions.
Critical thinking – Evaluate methods, spot errors and communicate findings clearly, skills valued by universities and employers.
Probability and risk – Understand chance, make predictions and see how probability shapes decisions everywhere.
Statistical modelling – Use distributions like binomial, normal, Poisson and exponential to solve real problems.
Course Highlights:
Maths Academy, exam preparation classes, trips and visits
- Entry Requirements
Overall requirements for the A Level Programme at Runshaw College require a minimum of 5 GCSE subjects at Grade 5, in 5 separate national curriculum subjects (including a minimum of grade 4 in both English and Maths). It is expected that most students will study 3 subjects – the option of doing 4 subjects for students who have an average GCSE grade profile of 8 or above will be considered on an individual basis. For more information on your future career path, visit www.informedchoices.ac.uk. View all our A Level courses in detail by clicking here.
This must include: Strong GCSE mathematics skills and an interest in real world problem solving. A minimum of 5x Grade 5s including Grade 5 in Maths on the higher paper, and Grade 5 in Science.
- Progression Pathway
- This course is highly regarded by universities and employers.
- Strengthens applications for degrees and careers in analytics, finance, business, psychology, geography, biosciences, teaching and more.
- Enhances quantitative skills needed for apprenticeships in data, digital and technical roles.
- National Careers Service
For guidance about what careers subjects can lead on to please follow this link to the National Careers Service.




