Overview
The Level 3 Diploma in Data Science is a foundational qualification designed to introduce learners to the essential concepts of data analysis, statistics, programming, and data management. It provides the knowledge and practical skills required to begin a career in data science, analytics, or data-driven decision making.
This diploma is suitable for beginners, students, and professionals who want to develop analytical skills and understand how data is collected, processed, and interpreted in modern organisations.
Equivalent to the RQF Level 3, which is academically equivalent to Same as A-Level standard qualification.
Benefits of Doing a Level 3 Diploma in Data Science Online
Studying Level 3 Diploma in Data Science online offers learners a flexible, accessible, and career-focused route to advancing their skills within the sector. Key benefits include:
- Flexible Learning
- Learners can study at their own pace and schedule, making it easier to balance education with work, family responsibilities, or other commitments. Online learning platforms allow students to access course materials anytime and from anywhere.
- Cost-Effective
- Online learning removes the need for travel, accommodation, and other campus-related expenses, making education more affordable.
- Access to Quality Resources
- Students gain access to interactive digital learning materials, recorded lectures, case studies, and dedicated tutor support through an online learning portal.
- Career Advancement Opportunities
- The qualification develops technical, problem-solving, and digital skills, supporting progression into IT support, computing, software, cybersecurity, or further technology-related study pathways.
Course Delivery
The qualification is delivered fully online through:
- Virtual Learning Platform: Access study materials and course resources 24/7.
- Tutor Support: Receive guidance and academic support through online communication channels.
- Independent Study: Study at your own pace with structured learning materials.
- Assignment Guidance: Access assignment briefs, submission guidance, and feedback.
- Online Assessment: Submit assignments, projects, or portfolios through the learner portal.
- Study Resources: Use digital notes, learning materials, and supporting resources.
- Learner Support: Receive dedicated support via chat, telephone, and email Monday to Friday.
Course Quick Summary (Ofqual Regulated UK Qualification)
- Study Mode: 100% Online, Self-paced
- Accreditation: QUALIFI Qualifications
- Duration: 6-9 Months.
- Assessment: Assignment-based (No Exams)
- Requirements: Open access / Career experience
- Tutor Support: Unlimited academic tutor guidance
Learning Outcomes
Understand the rationale for the European union’s creation.
Understand the institutions of the European Union.
Understand how European Union laws are enforced.
Learning Outcomes
Understand the role and importance of visualising data.
Understand basic plots and charts.
Understand measures of spread.
Learning Outcomes
Understand the different types of data and their characteristics.
Understand measures of centre.
Learning Outcomes
Understand the processes and types of data analytics
Understand the data analytics ecosystem
Understand the issues and methods for dealing with data quality issues..
Learning Outcomes
Be able to load and save data.
Be able to perform basic data wrangling and exploratory analysis.
Be able to perform basic data cleaning tasks.
Learning Outcomes
Understand the concepts of basic supervised machine learning models.
Understand the concepts of basic unsupervised machine learning models.
Understand the concepts of basic reinforcement learning.
Learning Outcomes
Understand the machine learning process.
Understand the data preparation process for machine learning models.
Understand how to evaluate machine learning models.
Learning Outcomes
Understand the basic theory of linear regression.
Understand regression metrics and how to evaluate a regression model.
Be able to perform regression calculations and analysis.
Learning Outcomes
Understand the basic theory of logistic regression.
Be able to perform logistic regression calculations.
Be able to create logistic regression models.
Learning Outcomes
Understand what a decision tree is in data science.
Understand how to construct a decision tree in data science.
Be able to perform calculations using decision tree metrics in data science.
Learning Outcomes
Understand the theory of k-means clustering.
Understand how to evaluate k-means clusters
Be able to create and evaluate a k-means model.
Learning Outcomes
Understand the core issues of data privacy and security
Understand the basics of differential privacy.
Understand the core issues of synthetic data.
Learning Outcomes
Understand different types of graphs and their properties.
Understand the core types of graph data models.
Understand the graph ecosystem.
Entry Requirements
- To study a Level 3 Diploma in Data Science learner must be aged of 18 and above.
- Relevant Level 2 Diploma qualification or equivalent qualification.
Qualifications
At the core of Qualifi’s mission is the creation and awarding of respected qualifications, built on a rigorous focus on high standards and consistency. Qualifi is recognised as an Awarding Organisation (AO) by Ofqual, the qualifications regulator for England, and is also a signatory to the BIS international quality commitments.
UCAS Tariff Points
Available Grade & Points Breakdown
Plan Your University Progression
Use our interactive calculator to combine this qualification with your other qualifications and see your total UCAS entry tariff.
Calculate Your UCAS Points →Assessment requirements
- Assessment is via assignment submission only.
- No Exams
Average completion timeframe (Course Duration)
- The average time it takes our learners to complete the course is 6-9 Months.
- Learners are granted a maximum of two years’ access to complete the course from the date of enrolment.
Certificate & Transcript Information
Upon successful completion of the qualification, the learner will receive an electronic certificate and transcript according to the awarding body’s certificate policy.
Hard Copy Delivery Charges:
Ordering a hard copy certificate and transcript is optional. If the learner requires a hard copy certificate and transcript, the applicable hard copy and delivery charges must be paid separately. For certificate-related support, please contact info@directskills.co.uk.
Progression – Level 3 Diploma in Data Science
Successful completion of the qualification allows learners to progress in several ways:
1. Higher Education
Learners may progress to higher-level qualifications such as:
- Level 4 Diploma in Data Science or Data Analytics
- Level 4/5 Diploma in Computing or Information Technology
- Higher National Certificate (HNC) in Computing or Data Analytics
- Foundation Degree in Data Science, Computer Science, or Information Technology
- Bachelor’s Degree in Data Science, Artificial Intelligence, Computer Science, or Data Analytics
These programmes provide more advanced knowledge and technical expertise in data handling, programming, and analytical methods.
2. Employment Opportunities
The Level 3 Diploma in Data Science also prepares learners for entry-level roles in the data and technology sector. Possible career paths include:
- Junior Data Analyst
- Data Technician
- Business Intelligence Assistant
- Data Support Specialist
- Data Entry and Reporting Assistant
These roles involve working with data collection, analysis, reporting, and supporting organisations in making data-driven decisions.
| Plan Name | Regular Fee | Discounted Fee | % Discount | Deposit | Instalments | Fast Track |
|---|---|---|---|---|---|---|
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Single Payment
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£1,000 | £800.99 | 19% | — |
£800.99
1 months
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3 Months Plan
|
£1,000 | £830.99 | 16% | £277 |
£277.00
2 months
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— |
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6 Months Plan
|
£1,000 | £860.99 | 13% | £130 |
£146.20
5 months
|
— |
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9 Months Plan
RECOMMENDED
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£1,000 | £890.99 | 10% | £90 |
£100.12
8 months
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