Develop practical skills in engineering-informed data science, from data capture and system health monitoring to predictive maintenance and digital twins. You’ll learn how to turn industrial data into reliable insights that support smarter engineering and operational decisions.Career focus: Graduates are prepared for roles such as data analyst, data scientist, predictive maintenance specialist, and data-enabled solutions designer for complex engineering assets.
The MSc in Applied Data Science in Engineering at Glasgow Caledonian University equips students with essential skills in engineering-focused data science. This program covers a range of topics including data capture, system health monitoring, predictive maintenance, and the concept of digital twins. You'll learn to transform industrial data into actionable insights that enhance engineering and operational decision-making.
The curriculum is designed around practical modules that encompass the entire data science process in engineering contexts. Key areas of study include:
Applied learning: The program emphasizes the connection between engineering principles and data science techniques, enabling students to develop solutions that are practical and relevant to real-world operations.
Assessment: Assessment methods may include coursework, practical work, and/or a final project. For specific details on assessment formats, please consult the university.
To be considered for admission to the program, applicants typically need to hold a minimum of a Lower Second Class degree. Specific entry requirements may vary; therefore, it is advisable to verify details directly with the university.
Graduates of this program are well-prepared for a variety of roles in the data science and engineering sectors. Potential career paths include positions such as data analyst, data scientist, predictive maintenance specialist, and designer of data-enabled solutions for complex engineering assets.
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