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Level 3 Diploma in Data Science (QUALIFI)

Study the Level 3 Diploma in Data Science online and build practical skills in Python, data analytics, statistics, visualisation and machine learning through a 60-credit QUALIFI qualification.

Level
Level 3
Same level as A levels
Duration
3–6 months
At your own pace
Awarded by
QUALIFI
Ofqual-regulated
Study mode
Online
Start any time

From £105/month or £900 in full £1,000

Awarding body

About QUALIFI Qualifications

QUALIFI Qualifications is a UK awarding organisation regulated by Ofqual, the qualifications regulator for England. Its qualifications sit on the Regulated Qualifications Framework (RQF), and your certificate is issued by QUALIFI when you achieve the qualification.

Overview

A foundational degree, the Level 3 Diploma in Data Science teaches students the fundamentals of data analysis, statistics, programming, and data administration. It offers the information and useful abilities needed to start a career in analytics, data science, or data-driven decision making.

Beginners, students, and professionals who wish to gain analytical abilities and comprehend how data is gathered, handled, and interpreted in contemporary organizations can all benefit from this diploma. Academically, the RQF Level 3 is comparable to the A Level grade qualification.

Benefits of Doing a Level 3 Diploma in Data Science Online

Students can advance their abilities in the field in a flexible, accessible, and career-focused manner by pursuing an online Level 3 Diploma in Data Science. Some the main advantages are:

  1. Flexible Learning
    • It is simpler for students to manage their education with employment, family obligations, or other commitments when they are able to study at their own speed and time. Students can access course materials at any time and from any location thanks to online learning technologies.
  2. Cost-Effective
    • By eliminating the need for travel, lodging, and other campus-related costs, online learning lowers the cost of education.
  3. Access to Quality Resources
    • Through an online learning site, students can access case studies, recorded lectures, interactive digital learning resources, and committed tutor support.
  4. Career Advancement Opportunities
    • The certification fosters the development of critical management and leadership abilities, facilitating advancement into career and supervisory positions in the IT care industry.

Course Delivery

The qualification is given entirely online via:

  • Virtual Learning Platform: Resources and study materials are available around-the-clock.
  • Tutor Support: Consistent assistance through email, online discussion boards,
  • Independent Study: Students study under structured supervision at their own speed.
  • Obtain feedback and marking for the assignment.
  • Assignments, projects, and portfolios submitted on LSM are examples of online assessments.
  • Obtain: Study lesson plan, assignment briefs
  • Get top-notch study notes.
  • Get committed customer service via phone, email, and chat (Monday through Friday).

Units you'll study

14 units · 60 credits · All units mandatory

1 The Field of Data Science

Learning outcomes

  1. Understand the design philosophy and features of Python. 
  2. Understand Python’s basic data types. 
  3. Be able to create and manipulate lists and tuples
2 Python for Data Science

Learning outcomes

  1. Understand the rationale for the European union’s creation.
  2. Understand the institutions of the European Union.
  3. Understand how European Union laws are enforced.
3 Creating and Interpreting Visualisations in data science

Learning outcomes

  1. Understand the role and importance of visualising data.
  2. Understand basic plots and charts.
  3. Understand measures of spread.
4 Data and Descriptive Statistics in Data Science

Learning outcomes

  1. Understand the different types of data and their characteristics. 
  2. Understand measures of centre.
5 Fundamentals of Data Analytics

Learning outcomes

  1. Understand the processes and types of data analytics 
  2. Understand the data analytics ecosystem
  3. Understand the issues and methods for dealing with data quality issues..
6 Data Analysis with Python

Learning outcomes

  1. Be able to load and save data.
  2. Be able to perform basic data wrangling and exploratory analysis.
  3. Be able to perform basic data cleaning tasks.
7 Machine Learning Methods and Models in Data Science

Learning outcomes

  1. Understand the concepts of basic supervised machine learning models.
  2. Understand the concepts of basic unsupervised machine learning models.
  3. Understand the concepts of basic reinforcement learning.
8 The Machine Learning Process

Learning outcomes

  1. Understand the machine learning process.
  2. Understand the data preparation process for machine learning models.
  3. Understand how to evaluate machine learning models.
9 Linear Regression in Data Science

Learning outcomes

  1. Understand the basic theory of linear regression.
  2. Understand regression metrics and how to evaluate a regression model.
  3. Be able to perform regression calculations and analysis.
10 Logistic Regression in Data Science

Learning outcomes

  1. Understand the basic theory of logistic regression.
  2. Be able to perform logistic regression calculations.
  3. Be able to create logistic regression models.
11 Decision Trees in Data Science

Learning outcomes

  1. Understand what a decision tree is in data science.
  2. Understand how to construct a decision tree in data science.
  3. Be able to perform calculations using decision tree metrics in data science.
12 k-means Clustering in Data Science

Learning outcomes

  1. Understand the theory of k-means clustering.
  2. Understand how to evaluate k-means clusters
  3. Be able to create and evaluate a k-means model.
13 Synthetic Data for Privacy and Security in Data Science

Learning outcomes

  1. Understand the core issues of data privacy and security
  2. Understand the basics of differential privacy.
  3. Understand the core issues of synthetic data.
14 Graphs and Graph Data Science

Learning outcomes

  1. Understand different types of graphs and their properties.
  2. Understand the core types of graph data models.
  3. Understand the graph ecosystem.

Tap a unit to see what you'll learn.

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.

Not sure you qualify? . It's free.

Study & assessment

  • 24/7 access to the online learning portal
  • Tutor support: academic questions answered within 48 hours
  • Assignments marked with feedback in 5 to 7 working days
  • No exams: you are assessed through written assignments
  • Learner support team, Mon–Fri, 09:00–17:30 (UK time)

How you're assessed

  • 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 3-6 months.
  • Learners are granted a maximum of two years’ access to complete the course from the date of enrolment.

Qualification

Course level
Level 3
Same level as A levels
Awarding body
QUALIFI Qualifications
Regulated by Ofqual (610/1950/1)
Credits
60
on the RQF

Qualifi is an awarding organisation recognised by Ofqual, the regulator of qualifications in England. This course leads to the Qualifi Level 3 Diploma in Data Science (Ofqual qualification number 610/1950/1), at Level 3 on the Regulated Qualifications Framework (RQF). It carries 60 credits and 600 hours of total qualification time. Your certificate is issued by Qualifi when you complete the qualification.

Careers & progression

Learners can advance in a number of ways if they successfully complete the qualification:

1.      Higher Education

Students may advance to more advanced credentials like:

  • Data Science or Data Analytics Level 4 Diploma
  • Level 4/5 Diploma in Information Technology or Computing
  • Higher National Certificate (HNC) in Data Analytics or Computing
  • Basic degree in information technology, computer science, or data science
  • Bachelor's degree in computer science, artificial intelligence, data science or dataanalytics.

These courses offer more sophisticated information and technical proficiency in programming, data processing, and analytical techniques.

2.      Employment Opportunities

The Level 3 Diploma in Data Science equips students for entry-level positions in the data and technology industry. Among the potential job paths are:

  • A junior data analyst
  • Data Technician
  • Assistant for Business Intelligence
  • Data Entry and Reporting Assistant
  • Data Support Professional

Working with data collecting, analysis, reporting, and helping organizations make data-driven decisions are all part of these positions.

Fees & payment plans

Choose how you'd like to pay. Monthly plans are interest-free, and the deposit counts as your first month.

Your details

Personal details

Home address

About your application

You'll review everything before paying.

Questions about fees? Call us or Mon–Fri, 09:00–17:30 (UK time)

Questions about this course

How do I enrol on this course?

You can enrol on Level 3 Diploma in Data Science (QUALIFI) directly from this course page. Choose your preferred payment option, complete the enrolment form, and follow the secure checkout steps. The Inspire College admissions team can also help if you want to ask a question before enrolling.

Can I start this course immediately?

Yes. Once your enrolment for Level 3 Diploma in Data Science (QUALIFI) is processed, you will receive access details for the online learning platform so you can begin your studies without waiting for a fixed intake date.

How long will I have access to the learning platform?

Your access period for Level 3 Diploma in Data Science (QUALIFI) is designed to give you enough time to work through the course at a flexible pace. The expected study duration is 3-6 MONTHS, and your enrolment information will confirm the exact access period available for this course.

Are there any exams for this course?

Level 3 Diploma in Data Science (QUALIFI) is normally assessed through coursework and assignments rather than traditional exams. If a specific exam or practical assessment applies, it will be explained in the assessment section of this page.

How are assignments submitted?

Assignments for Level 3 Diploma in Data Science (QUALIFI) are completed and submitted online through the learning platform. Your tutor will review your work and provide feedback so you can make progress through each required unit.

Is tutor support included?

Yes. Tutor support is included with Level 3 Diploma in Data Science (QUALIFI). You can use this support for guidance on course content, assignment preparation, and feedback during your studies.

What payment options are available?

The available payment options for Level 3 Diploma in Data Science (QUALIFI) are shown on this page. Depending on the current course setup, you may be able to pay in full or use a deposit with monthly instalments.

Will I receive a certificate after completing this course?

Once you have successfully completed all required modules and assignments for Level 3 Diploma in Data Science (QUALIFI), your work will be assessed and processed for certification through QUALIFI Qualifications, where applicable.

Is this qualification recognised?

Level 3 Diploma in Data Science (QUALIFI) follows the qualification details shown on this course page. Where the course is linked to an awarding body or regulated qualification, those details are displayed so you can check recognition before enrolling.

Can I study this course while working full-time?

Yes. Level 3 Diploma in Data Science (QUALIFI) is delivered online with flexible access, making it suitable for learners balancing study with work, family, or other commitments.

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