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  • ci Online Study Mode
  • ci 120 Recommended Study Hours
  • ci Study at your own Pace
  • ci Completion Certificate

Key Aspects of Course

  • icon Level 5 Diploma
  • icon Full Online Course
  • icon CPD Approved
  • icon Employer Approved
  • icon Fully Endorsed Course
  • icon 450 Hours Training
  • icon No Entry Requirements
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  • icon Own Pace Study
  • icon Premium Course Material
  • icon Completion Certificate
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Level 7 Diploma in Data Science

 

The Level 7 Diploma in Data Science is a regulated, postgraduate-level qualification designed to develop advanced analytical, technical, and strategic data science capability. This programme provides a structured route for learners seeking a recognised data science program level 7, combining strong statistical foundations with practical application in business and organisational contexts.

 

The qualification is designed for learners who wish to build or enhance expertise in data analysis, predictive modelling, and machine learning. It is suitable for those working with complex datasets who want to progress into senior analytical, technical, or data-driven decision-making roles. The course covers a broad range of contemporary topics, including exploratory data analysis, statistical inference, predictive modelling, time series analysis, machine learning, and advanced data science tools using R, Python, and SQL.

 

Throughout the programme, learners develop the ability to manage, analyse, and interpret data effectively, communicate insights clearly, and apply data science methods to real-world challenges. Emphasis is placed on linking theory to practice, ethical use of data, and understanding how data supports strategic decision-making. The qualification also provides a strong academic foundation for further postgraduate study and complements online data science programs and data analysis courses online by offering a formal, regulated award recognised for professional development.

Learning Outcomes
  • Understand and apply mathematical and statistical principles for advanced data analysis
  • Develop and manage structured clean and reliable datasets
  • Analyse data using predictive modelling inference and multivariate methods
  • Evaluate data science solutions within organisational and strategic contexts
  • Apply R Python and SQL to complex data analysis tasks
  • Create effective data visualisations to communicate insights
  • Apply machine learning techniques to real-world and business problems
Who should learn
this course
  • Professionals seeking an advanced data science program level 7
  • Data analysts aiming to progress into senior or specialist roles
  • IT or business professionals transitioning into data science
  • Learners wishing to formalise advanced analytical skills
  • Individuals preparing for doctoral or further postgraduate study
  • Professionals undertaking online data science programs or data analysis courses online

SYLLABUS

Module 1

Module 1

Exploratory Data Analysis

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Module 2

Module 2

Statistical Inference

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Module 3

Module 3

Fundamentals of Predictive Modelling

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Module 4

Module 4

Advanced Predictive Modelling

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Module 5

Module 5

Time Series Analysis

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Module 6

Module 6

Unsupervised Multivariate Methods

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Module 7

Module 7

Machine Learning

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Module 8

Module 8

Further Topics in Data Science

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Module 9

Module 9

Contemporary Themes in Business Strategy

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Future market Growth
2200 Billion

Expected Information Technology market growth by the end of 2027

12% Growth

Increased in growth in different learning organizations

Career opportunities
Certifications

RQF Certification Package (100% Included)
Awarding Body Registration
Certificate Issuance
Postal Delivery
Course Fees
NO hidden charges — ever.

Frequently Asked Questions (FAQs)