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Ofqual L7 Diploma in Data Science
USD 6210
USD 4600
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Ofqual L7 Diploma in Data Science

Be future-ready with data science skills, and create an edge in your professional profile with crafted abilities to navigate the management of data sciences.

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Accreditation & Certification

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Expert instruction

Interactive Lectures

Face-to-Face Webinars

Practical Case Studies

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Self-Paced

Progress At Your Own Speed

Start and Finish Anytime

Reset Deadlines

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08 Months

2 - 4 hours per week

Chance to Finish Early

Extend Beyond Deadlines

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USD 4600

24/7 Tutor Support

Verifiable Certificate

CPD Credits

Program overview

  • Awards: Ofqual UK + MEW School of Leadership
  • Credits: 120
  • Format: Blended (Online Lecture + Face to face Webinars)
  • Assessment: Assignment based
  • Accreditation and Approval: WES + WHED 

The Ofqual Level, 7 Diploma in Data Science qualification empowers you to extract valuable business insights from data. Our comprehensive curriculum is designed to equip you with the knowledge and skills necessary to navigate the dynamic field of data science with confidence and proficiency.

The principal objective of this qualification is to develop your understanding of how information and value flow within a business context. Through a series of engaging modules, you will gain insights into the intricacies of data science, from foundational concepts to advanced techniques.

Obtain and Master the most in-demand skill in the market.

With our Ofqual Diploma in Data Science, you are set to go miles in your career. Opportunities will be waiting for you at every step. 

Further, this diploma can be topped up to a Masters in Data Science. 

Instructional Approach:
  • The course lectures explain the concepts and their underlying principles and then connect them with real-world scenarios.
  • Micro-assignments and in-lecture quizzes elevate your ability to simultaneously test and apply what you have learned.
  • Case studies and readings provide practical perspectives on the concepts discussed and help you put the learning into action, allowing you to gain substantial takeaways from the course. 
Why should you enrol?

If you want to leverage your skills to get into the most lucrative jobs available in the market and to future-proof your profile and career as a top-notch talent with knowledge and skills of the future, here is the opportunity that when you enroll in the level seven diploma in data science, you are set on a whole new path of opportunity success and standing out throughout history.

Skills this course bring:
  • Data Science
  • Probability and Statistics
  • Predictive Modeling
  • Data Mining
  • Machine Learning
  • AI
  • Data Analysis

Learning Units

Unveil the valuable lessons and practical skills that you'll gain throughout this course.

Data science combines powerful computing technology, sophisticated statistical methods, and expert domain knowledge to analyse and gain practical insights from huge amounts of data produced by organisations in the present business environment. The aim of this unit is to introduce a range of data science concepts, data administration and governance and big data sources. 

This unit is designed to introduce the science behind machine intelligence and the philosophical debate around the ambitions of simulating human intelligence to solve real-world problems. Students will be guided to appreciate AI types and applications and develop a better understanding of aspects related to intelligent agents. In this unit, students will master key concepts and gain the practical knowledge to apply machine learning principles to challenging real-world problems. 

This unit is essential for understanding the fundamentals of the data analysis process including gathering, cleaning, analysing and sharing data and communicating insights with the use of visualizations and dashboard tools. It is expected that students doing this unit will gain hands-on experience in implementing data analytic processes and techniques using a programming language such as Python or R or a tool such as Weka, KNIME, PowerBI, Excel, etc. 

This unit will introduce you to some of the most widely used predictive modelling techniques and their core principles. Through this unit, you will form a solid foundation of predictive analytics, which refers to tools and techniques for building statistical or machine learning models to make predictions based on data. You will learn how to carry out exploratory data analysis to gain insights and prepare data for predictive modelling.  

This unit aims to provide an overview of fundamental concepts in probability and statistics from the first principles. It will introduce the core probability and statistical methods used in data science and a range of data analytic processes and techniques. 

This unit aims to develop learners’ ability to prepare for various types of academically based computing research through the development and design of a research proposal. Learners will develop a critical understanding of the philosophical, practical, and ethical concepts of research within the computing discipline. 

What you will learn

  • Mastery of data science concepts, methodologies, and techniques.
  • Strong statistical skills for confident data analysis.
  • Proficiency in advanced predictive modeling for accurate forecasting.
  • Expertise in data analysis and visualization for actionable insights.
  • In-depth understanding of data mining, machine learning, and AI.
  • Development of advanced research skills for impactful projects.
  • Preparation for future roles and career advancement.
  • Enhanced reflective practice for continuous professional growth.

The Office of Qualifications and Examinations Regulation (Ofqual) regulates qualifications, examinations and assessments in England.

Ofqual was set up in April 2010 under the Apprenticeships, Skills, Children and Learning Act 2009 and is also covered by the Education Act 2011.

We’re a non-ministerial government department with jurisdiction in England. We have 343 permanent employees as of March 2024 and are based in central Coventry.

Learning Formats

Learning formats with MEW School of Leadership depend on the degree program chosen. The specific learning format for this program is mentioned above on this page. MEW School of Leadership delivers the program learning in the following formats.

Fully Online Format

In this format, all learning occurs online through our MEWBook Learning Portal. Learning and assessment are conducted entirely within the portal, where you manage your journey using online tools, settings, and support.

Blended Format

This format combines learning through the MEWBook Learning Portal with live, in-person webinars. You receive both in-portal support and opportunities to interact with our tutors and program managers. Certificates are available online and in print (additional charge may apply).

Hybrid Format

The hybrid format includes learning through classroom sessions, the MEWBook Learning Portal, or live webinars, depending on the program. Support is provided through all available channels throughout your learning journey. Certificate details vary by program; please consult the program information page.

Classroom Format

This format involves fully classroom-based learning with both learners and instructors physically present. Comprehensive support is available both within and outside the portal. Learning materials are accessible in the classroom and on the portal for future reference.

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