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 8 is an advanced and specialised programme tailored for individuals aspiring to excel in the field of data analytics. Crafted to meet the demands of an increasingly data-driven world, this apprenticeship is designed for professionals seeking to deepen their expertise and make a significant impact in the realm of data analytics.
This apprenticeship is well-suited for experienced data professionals, analysts, or individuals with a robust background in data-related fields aiming to elevate their skills to an advanced level. Whether you are looking to refine your proficiency in data analysis or aiming to take on leadership roles in data-driven decision-making, this program provides a structured and comprehensive learning experience.
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 8
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 L8 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
Navigate the Data Revolution: Advanced Analytics Techniques Meet Strategic Business Insight.
Participants will engage with a sophisticated curriculum covering advanced data analytics techniques, statistical modelling, and the strategic application of insights to drive business decisions. Through a combination of theoretical knowledge and practical applications, apprentices will develop the critical skills necessary to navigate complex data landscapes and derive meaningful insights.
Qualification Breakdown
Mandatory Units
Supporting Digital Business Transformation
Applying Methods & Principles in Project Management
Developing Meta-Skills & Personal Practice
Occupational Mandatory Units
Managing Data Assets
Planning Data Analysis
Locating & Accessing Data Sources
Transforming Data for Analysis
Analysing Data
Visualising & Communicating Data
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.