• Access Duration:  365 Days
• Awarded by: Qualifi
• Qualification Level:  Level 3
• Qualification Number:  610/1950/1 
• Guided Learning Hours (GLH): 455
• Total Qualification Time (TQT): 600
• Credits: 60
• UCAS Points: 32

• Build your mathematical and statistical skills to carry out basic data analysis, laying a solid foundation in the essential quantitative abilities needed for working with data.
• Apply Python to enhance analytical and machine learning skills by exploring and analysing real-world datasets.
• Gain a strong grasp of data and its processes, including cleaning, structuring, and preparing data for analysis and visualisation.
• Familiarise yourself with the broader data science landscape and ecosystem, covering everything from databases (both relational and graph) to programming languages and visualisation tools.
• Learn about the machine learning process, including which algorithms to use for different problems, and how to build, test, and validate models.
• Stay informed about current and emerging areas in data science, with insights into how these are applied to tackle real-world challenges.

This course is ideal for,

• School Leavers
• Career Changers
• Data Analysts
• Junior Data Scientists
• Business Intelligence Analysts
• Marketing Analysts
• Financial Analysts
• Operations Analysts
• IT Support Analysts
• Data Technicians
• Database Administrators (Entry-Level)
• Research Assistants

• Applicants must be 18 years or older.
• Entry is completed through registration, which may include a short interview or initial assessment.
• Our usual minimum entry requirements are GCSE Mathematics at grade B (new grade 6+) and GCSE English at grade C (new grade 4+).
• A GCSE-level understanding of mathematics is sufficient, as the course only uses basic concepts such as addition, multiplication, and division.
• Applicants without formal qualifications may still be considered if they have relevant or significant work experience. This is an important route into the course, as applicants will have the opportunity to demonstrate their readiness for the academic demands of the course through an interview.
• No prior coding experience is required. Learners only need a willingness to learn, as Python will be introduced in a beginner-friendly, step-by-step way.
• As the course is delivered in English, applicants will need an appropriate level of English language ability.
• We understand that you may have questions about whether the course matches your current level or whether you meet the entry requirements. Our team will be pleased to review your qualifications, identify any support needs, and help you get started with confidence.

• This course can be completed through two flexible study options to suit your lifestyle:
  • Standard Course Plan (9 months) – ideal for learners balancing other commitments.
  • Fast Track Option (4 months) – perfect for those who can dedicate intensive study time.
• Most learners complete within their chosen timeframe, though some may finish earlier depending on personal circumstances and available study time. We accommodate your pace with unlimited support for 12 months. This Level 3 Diploma requires approximately 455 guided learning hours.

T&C apply

• There are no formal exams. All assessment is completed through written coursework.

Grading Structure

• This qualification is graded as Fail / Pass / Merit / Distinction, using the following scale:
  • Fail: 0–49%
  • Pass: 50–59%
  • Merit: 60–69%
  • Distinction: 70% and above

Assessment and Marking

• All units are assessed through written assignments. These assignments are internally marked by South London College and externally quality assured by QUALIFI.

Assessment Methods

• Each unit includes formative assessment using assignments based on sample data. Assignments are designed to assess knowledge, understanding, and technical skills.
• To achieve the qualification, learners must meet all learning outcomes and assessment criteria. They are expected to demonstrate original thinking, problem-solving ability, and clear understanding where required. An appropriate level of intellectual rigour is expected for a Level 3 qualification.

Summative Assessment

• Final (summative) assignments include questions covering each learning outcome. Tasks are designed to ensure all learning outcomes and assessment criteria requirements are met. Learners must engage with the relevant supporting theory for the subject area.

Mentor Guidance and Support

• Experienced mentors provide guidance and support throughout the assessment process. Learners can contact mentors via email.

The Qualifi Level 3 Diploma in Data Science is designed to develop essential academic and practical understanding of data science concepts, tools, and techniques. This Level 3 Diploma also offers clear and flexible progression routes for learners who want to continue their academic journey or develop their career in data, technology, or related disciplines.

Next Steps for a Possible Academic Progression Pathway: 

• Step 1: Level 4 Professional Diploma in Data Science
• Step 2: Level 5 Diploma in Computing (with Data Science)
• Step 3: Level 6 Diploma in Data and AI  

Alternative Pathways:

• Level 3 Diploma in Computing
• Level 3 Diploma in Data Analytics

Start Your Career in Data with Practical, In-Demand Skills 

The Qualifi Level 3 Diploma in Data Science is designed for learners who want to build a strong foundation in data and analytics and take their first confident steps into data-driven roles. You’ll gain hands-on experience with core data science concepts, including mathematics and statistics for data analysis, Python programming, data handling, and introductory machine learning. This practical approach helps you develop confidence, analytical thinking, and problem-solving skills that employers value across a wide range of industries. 

Career opportunities and potential salaries in the UK (approximate, source: Glassdoor): 

• Data Support or Reporting Officers – £34,000
• Junior Data Analysts / Data Assistants – £35,000 
• Trainee Analytics roles – £35,000 
• Business or Operations Data Assistants – £36,000 
• Junior Python or Data Technician roles – £38,000 

The Office of Qualifications and Examinations Regulation (Ofqual) is a non-ministerial government department responsible for regulating qualifications, exams, and assessments in England. Ofqual ensures that all qualifications offered by recognised awarding organisations meet rigorous national standards, giving you confidence that any Ofqual-regulated certificate is high-quality and widely accepted by employers and universities.