Data Science MSc
Master
In Brighton
Description
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Type
Master
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Location
Brighton
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Duration
1 Year
Are you interested in data science and its application to sciences and technology? Do you want to work in industry or plan to pursue further study?
The acquisition of large datasets is now common in academic science and industrial practice. On this MSc, you’ll learn about the theory and practice of state-of-the-art data science with applications ranging from mathematics to physics, and from biology to computer science. You’ll develop the skills to provide appropriate and up-to-date tools to deal with datasets.
Facilities
Location
Start date
Start date
About this course
Our graduates become data scientists in industries such as engineering, computing, and financial and banking institutes. Some of them go on to careers in:
government institutions
scientific research
teaching
academia
management.
You should normally have an upper second-class (2.1) undergraduate honours degree or above.
Reviews
Subjects
- Mathematics
- Technology
- GCSE Mathematics
- GCSE Physics
- Dissertation
- Algorithmic
- Data science
- Data analysis
- Machine Learning
- Physics
Course programme
These modules are running in the academic year 2018/19. We also plan to offer them in future academic years. They may become unavailable due to staff availability, student demand or updates to our curriculum. We’ll make sure to let our applicants know of such changes to modules at the earliest opportunity.
Core modules
Core modules are taken by all students on the course. They give you a solid grounding in your chosen subject and prepare you to explore the topics that interest you most.
- Dissertation (Data Science)
- Algorithmic Data Science
- Data Analysis Techniques
- Data Science Masters Research Proposal
- Data Science Research Methods
- Machine Learning
- Wider Topics in Data Science
Alongside your core modules, you can choose options to broaden your horizons and tailor your course to your interests.
- Advanced Natural Language Processing
- Advanced Particle Physics
- Applied Natural Language Processing
- Coding Theory
- Genomics and Bioinformatics
- Image Processing
- Introduction to Genes and Biochemistry
- Mathematics and Computational Methods for Complex Systems
- Monte Carlo Simulations
- Particle Physics Detector Technology
- Programming in C++
- Statistical Inference
- Web Applications and Services
Additional information
Data Science MSc