📖Program Curriculum
In your first, you will be taught the fundamental skills and concepts needed to begin your journey as a data scientist. You’ll be familiarised with the mathematical, statistical and computational foundations, and you will apply those principles in regular laboratory sessions which help solidify your understanding. You will also begin developing the professional skills you will need in your day-to-day career on graduation: working as part of a team, the ethical and legal issues around data structure and models.
Modules
Calculus - 20 credits
Algebra - 20 Credits
Programming: Concepts and Algorithms - 20 Credits
Working with Data - 20 Credits
Programming: Professional Practice - 20 Credits
Probability and Statistics - 20 Credits
We regularly review our course content, to make it relevant and current for the benefit of our students. For these reasons, course modules may be updated.
In two, you will develop more advanced knowledge and skills to do with data science, linear statistical models and artificial intelligence, amongst others.
Modules
Artificial Intelligence - 20 Credits
Linear Algebra and Differential Equations - 20 Credits
Advanced Algorithms - 20 Credits
Data Science - 20 Credits
Linear Statistical Models - 20 Credits
Data Science Group Project - 20 Credits
We regularly review our course content, to make it relevant and current for the benefit of our students. For these reasons, course modules may be updated.
There’s no better way to find out what you love doing than trying it out for yourself, which is why a work placement2 can often be beneficial. Work placements usually occur between your second and final of study. They’re a great way to help you explore your potential career path and gain valuable work experience, whilst developing transferable skills for the future.
If you choose to do a work placement, you will pay a reduced tuition fee3 of £1,250. For more information, please go to the fees and funding section. During this time, you will receive guidance from your employer or partner institution, along with your assigned academic mentor who will ensure you have the support you need to complete your placement.
Modules
UK Work Placement – 0 credits
International Study/Work Placement – 0 credits
We regularly review our course content, to make it relevant and current for the benefit of our students. For these reasons, course modules may be updated.
The final stage of the in Data Science covers advanced topics in data science including Big Data management and visualisation methods, machine learning algorithms, Artificial Neural Networks and advanced statistical methods.
Modules
Data Visualisation - 20 Credits
Statistical methods for Data Science - 20 Credits
Machine Learning - 20 Credits
Project Discovery - 20 credits
Dissertation and Project Artefact - 20 credits
Optional Modules
We regularly review our course content, to make it relevant and current for the benefit of our students. For these reasons, course modules may be updated.
If you meet the criteria, you could choose to take an additional fourth master's option, which will deepen your knowledge and expertise3.
This provides insight into more advanced topics in data science and can act as a stepping stone to postgraduate research or further study.
Modules
Artificial Neural Networks - 15 Credits
Machine Learning - 15 Credits
Information Retrieval - 15 Credits
Big Data Analytics and Data Visualisation - 15 Credits
Data Management Systems - 15 Credits
Modelling and Optimisation Under Uncertainty - 15 Credits
Individual Research Project Preparation - 15 Credits
Individual Research Project - 15 Credits
We regularly review our course content, to make it relevant and current for the benefit of our students. For these reasons, course modules may be updated.
