Applied Data, Statistical and Economic Analysis - BSc (Hons) Degree Apprenticeship

🎓 Experiential Learning at Cardiff Met

This degree apprenticeship uniquely blends academic study with real-world application. You'll spend one day per week at Cardiff Met's Llandaff Campus, engaging in practical workshops and case studies, while the remaining four days are dedicated to applying your learning in the workplace. This structure ensures that your academic knowledge is continuously reinforced and tested in a professional setting.

The program is designed in collaboration with industry partners, ensuring that the skills you acquire are directly aligned with current market needs. You'll have access to state-of-the-art facilities and resources, including the University's virtual learning environment, Moodle, which supports your learning with a variety of resources.

Moreover, each apprentice is assigned a Degree Apprenticeship Mentor within the School of Technologies. This mentor meets with both you and your employer bi-monthly, providing guidance and ensuring that your learning aligns with professional competencies and workplace requirements.

The program's assessment strategy includes authentic tasks such as practical assessments, presentations, and an apprenticeship dissertation project. These assessments are designed to build your confidence and ensure that you are workplace-ready upon graduation.

By integrating academic study with practical experience, Cardiff Met's degree apprenticeship program equips you with the skills and knowledge needed to excel in the field of applied data, statistical, and economic analysis.

🛠️ Key Experiential Learning Features

• Industry-Aligned Curriculum: Designed in collaboration with industry partners to ensure relevance and applicability.

• Workplace Integration: Spend four days per week applying your learning in a professional setting.

• Practical Workshops: Engage in hands-on learning experiences to reinforce academic concepts.

• Case Studies: Analyze real-world scenarios to develop problem-solving skills.

• Virtual Learning Environment: Access a variety of resources and support materials through Moodle.

• Degree Apprenticeship Mentor: Receive bi-monthly guidance from a dedicated mentor to align learning with professional competencies.

• Authentic Assessments: Participate in practical assessments, presentations, and a dissertation project to demonstrate your skills.

If you're looking to gain practical experience while earning a degree, this program offers a unique opportunity to develop skills that are in high demand in the data and economics sectors. The integration of academic learning with workplace experience ensures that you graduate with both theoretical knowledge and practical expertise.

Should you need more information or assistance with the application process, feel free to ask!

Graduates of the Applied Data, Statistical and Economic Analysis - BSc (Hons) Degree Apprenticeship at Cardiff Metropolitan University are highly sought after in sectors that rely on data-driven decision-making. Typical roles include Data Analyst, Economic Analyst, and Business Intelligence Consultant, offering strong career foundations and growth opportunities:

• University Careers Service: Dedicated support including CV workshops, interview preparation, and employer networking events tailored to data and economic roles.

• Employment Stats & Salary: Graduates enjoy high employability with starting salaries often ranging between £25,000–£35,000, depending on sector and role.

• University–Industry Partnerships: Collaborations with leading employers provide apprenticeships, placements, and real-world project experience.

• Accreditation Value: The program’s industry-aligned curriculum ensures professional recognition and enhances long-term career prospects.

• Graduation Outcomes: Many alumni secure roles in analytics, consultancy, finance, and public sector organisations shortly after completing the degree.

Further Academic Progression: Graduates can continue their studies with Master’s programs in Data Science, Economics, or Business Analytics, or pursue professional qualifications in statistical analysis, finance, or data management to deepen expertise and open pathways to senior positions.