Data science has the potential to change the way we’ll live in the future by solving or offering insights into many of the largest problems of today.
On this dynamic course, you’ll learn advanced coding skills to develop state-of-the-art machine learning approaches for AI products and services. You’ll then use these technologies to solve real-world problems relevant to your existing knowledge and expertise.
You’ll create intelligent models which can predict future outcomes based on past data, generate artwork, or give you incredible insight into hard-to-find connections within your datasets.
Working with data from industries at the forefront of data science today, like biomedicine, finance and social media, you’ll gain a deep understanding of data flows within organisations and systems, and how huge amounts of data can be engineered to produce knowledge.
At least a 2.2 honours degree or equivalent in any discipline.
Relevant work experience will also be taken into consideration
With the explosion of data in the digital age, demand for skilled data scientists continues to grow, offering excellent career prospects, competitive salaries, and opportunities to work in diverse sectors such as tech, finance, healthcare, and more.
Data scientists are at the forefront of innovation, using data to solve complex problems, uncover trends, and make informed decisions that drive business success.
Having gained advanced technical skills and mastered data analysis using real-world data, you’ll graduate ready to succeed in a career that is at the forefront of innovation.
Core Modules:
Research Methods for Computing (CT7094)
Python Notebooks and Scripting (CT7201)
Data Analysis and Visualisation Principles (CT7202)
Applied Data Analysis Techniques for Business (CT7203)
Ethical Data Science (CT7204)
Machine Learning and Optimisation (CT7205)
Dissertation (CT7206)
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