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York St John University Data Science Degree Apprenticeship BSc (Hons)

York St John University

Data Science Degree Apprenticeship BSc (Hons)

York, United Kingdom

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Key Summary

    About : The Data Science Degree Apprenticeship BSc (Hons) combines academic study with practical work experience. This program allows students to earn a Bachelor's degree while receiving on-the-job training in a real-world setting. The curriculum covers essential skills and tools in data science, preparing students for various career paths in the industry.
    Career Outcomes : Graduates are equipped for roles in fields such as data analysis, business intelligence, and machine learning. The program prepares students for careers as data scientists, data engineers, or statistical analysts, making them valuable assets in organizations that rely on data-driven decisions.

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Introduction

This innovative degree in data science has been created in partnership with sector professionals. Students working in a mac Study alongside your work with a Degree Apprenticeship in one of the future's most vital subjects. You will graduate from this course with a thorough understanding of the intersection of computer science, statistics, mathematical modelling and communication.

The Data Science Degree Apprenticeship BSc (Hons) is an innovative program designed to prepare students for careers in the rapidly growing field of data science. Here are the key features and highlights of this degree apprenticeship: Combination of Academic Learning and Work Experience: The program integrates academic learning with practical work experience, allowing students to apply theoretical knowledge directly in real-world data science projects within their apprenticeship roles. This dual approach provides a comprehensive learning experience and prepares students for the demands of the industry. Foundational Knowledge in Data Science: Students will acquire a solid foundation in data science concepts, techniques, and tools. This includes areas such as data analysis, machine learning, statistical modeling, data visualization, and data-driven decision-making. They will also learn programming languages such as Python, R, SQL, and tools/frameworks like TensorFlow, scikit-learn, and Hadoop.

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