About the Course
The field of data analytics has undergone significant changes since the onset of the COVID-19 pandemic, bringing about both challenges and opportunities for employers. The ability to harness and interpret data has become a strategic imperative for businesses aiming to thrive in the post-pandemic era. Employers who prioritise data analytics are better positioned to navigate uncertainties, drive innovation, and make informed decisions in a constantly changing business landscape.
The Modern Apprenticeship in Data Analytics SCQF Level 6 offers a structured learning path, covering essential principles of data analysis, statistical methods, and the practical application of analytics tools. Participants will gain hands-on experience, refining their ability to transform raw data into meaningful insights that drive informed decision-making.
It is ideal for individuals with a keen interest in numbers, patterns, and the potential of data-driven insights, this apprenticeship provides a solid foundation for a successful career in the evolving field of data analytics. Whether you’re launching your professional journey or seeking to pivot into the world of data, this program equips learners with the foundational knowledge and practical skills needed to thrive in this rapidly expanding and vital industry.
Schedule a Consultation
Ready to take the next step in your data analytics career? Speak directly with one of our knowledgeable experts today. They’re ready to answer all your questions.
Prefer to reach out online? Visit our enquiry form to get all the information you need at your fingertips. Your journey towards becoming a data analytics professional starts here.
Course Overview
Overall Award & Level
Diploma in Digital Technology: Data Analytics SCQF Level 6
Additional Certification
Although not a mandatory part of this framework we offer a range of training and vendor certifications as part of added-value training. This will vary depending on your tailored selection of courses.
Certificates
SCQF L6 Awarded by SQA
Modern Apprenticeship Certification is awarded by Sector Skills Council The Tech Partnership
Microsoft (Should vendor exams have been undertaken)
Entry Requirements
No set requirements, however, the role must be relevant to the qualification being undertaken.
Method Of Study
Blended and work-based learning.
Duration
The recommended duration for this framework is 12 to 18 months. However, consideration of any additional learning or Recognised Prior Learning (RPL) will be taken into account for planning the duration for individuals on a case-by-case basis.
Assessment Methods
Assessment methods may include gathering product evidence, personal reflective statements, workplace observation, witness testimony and/or professional discussion.
Start Date
This is a roll-on, roll-off programme therefore there is no fixed start date.
Locations
Remote and work-based.
Course Structure
Journey to the forefront of data-driven innovation with our Data Analytics Apprenticeship.
The Data Analytics apprenticeship is structured to empower individuals with the skills required to thrive in roles that demand expertise in data-driven decision-making. The outlined framework encompasses a range of topics vital for a comprehensive understanding of data analytics, ensuring apprentices are well-prepared for the challenges and opportunities within the field of data analysis.
Qualification Breakdown
Mandatory Units
Applying Problems Solving Approaches.
Producing Documentation to Support Organisational Process Delivery.
Defining Requirements to Support Project Delivery
Developing Meta-Skills & Personal Practice
Occupational Mandatory Units
Contributing to Data Management
Contributing to Data Manipulation
Contributing to Data Visualisation & Reporting
Contributing to Data Analysis
Added Value Training
We offer optional added-value training from a range of commercial vendors, such as Microsoft, to complement apprenticeships. These certifications serve as a valuable enhancement, allowing apprentices to tailor their learning experience based on individual needs and preferences.
By incorporating Microsoft certifications, apprentices have the opportunity to acquire specialised skills that align with their career goals within their given field. For more information, please visit our Microsoft Technical portfolio.
Schedule a Consultation
Ready to take the next step in your data analytics career? Speak directly with one of our knowledgeable experts today. They’re ready to answer all your questions.
Prefer to reach out online? Visit our enquiry form to get all the information you need at your fingertips. Your journey towards becoming a data analytics professional starts here.
Meta Skills
In response to evolving workplace demands, the inclusion of meta skills within this apprenticeship framework has become an industry necessity.
Meta skills, encompassing attributes such as adaptability, critical thinking, communication, and collaboration, are essential for success in a rapidly changing professional landscape.
Integrating these skills into an apprenticeship programme ensures that learners not only acquire technical expertise but also develop the versatile capabilities needed to navigate complex challenges.
By emphasising meta skills, apprenticeships become holistic learning experiences, producing well-rounded professionals capable of thriving in diverse and dynamic work environments.
This forward-thinking approach not only enhances individual employability but also contributes to a more resilient and agile workforce, aligning apprenticeship frameworks with the contemporary needs of industries worldwide.