Content area
The modern business world increasingly requires a higher level of data science expertise as well as abilities in problem solving and data analytics. Data science is a broad and fast-moving field of methods, processes, algorithms and systems to extract insights from data. The University of Winchester has followed the guidance of the Institute for Apprenticeships and Technical Education (IfATE) and worked in partnership with a number of international, national and regional employers in the design and development of its Data Scientist (integrated degree) programme, which leads to a Bachelor's degree in Data Science. This degree apprenticeship supports students in gaining the knowledge and skills that are in demand by employers today and into the future, where working in multi-disciplinary teams alongside domain experts will often be the norm. IfATE specifies an End-point Assessment (EPA) plan to enable the apprenticeship to be completed in accordance with its Data Scientist degree apprenticeship standard. This paper considers professional practice and competence in data science and links the processes used in completing the EPA with domain-based knowledge and expertise. It reviews representative solution methodologies before demonstrating the applicability of a data-driven research methodology to discover insights and achieve organisational goals.
Details
Competence;
World Problems;
Technical Education;
Science Programs;
Stakeholders;
Influence of Technology;
Scientific Methodology;
Computers;
Expertise;
Educational Technology;
Talent Development;
Engineering Technology;
Apprenticeships;
Employers;
Data Analysis;
Science Experiments;
Science Curriculum;
Problem Solving;
Hypothesis Testing;
College Science;
Research Methodology;
Scientists;
Algorithms
Scientists;
Collaboration;
Hypothesis testing;
Curricula;
Professional practice;
Data analysis;
Data science;
Employers;
Apprenticeship;
Skills;
Research methodology;
Hypotheses;
Knowledge;
Project management;
Vocational education;
Subject specialists;
Professionals;
Interdisciplinary subjects;
Business analytics