collageThe university of nottingham Department of data science is consistently ranked among the best in the world. The university of nottingham data science faculty offers outstanding research opportunities for undergraduates. This article below gives more insight.
Admission to data science may fluctuate from one year to another at the university of nottingham. Read on to learn about the university of nottingham ranking, university of nottingham data science apprenticeship, university of bristol msc data science, university of southampton data science, university of leeds msc data science. You can find more information on CollegeLearners.
Course overview
Big data is playing an increasingly important role in our society. The need for expert and ethical data analysis is in high demand across many industries. This course gives you the professional and problem-solving skills for a range of high-level careers.
This interdisciplinary masters will be taught by the Schools of Computer Science and Mathematical Sciences. Our academics conduct their own international-quality research. They use this to teach you the latest techniques and technologies in this field.
Develop your knowledge in key topics such as statistical modelling, machine learning and advanced algorithms. We offer a range of flexible optional modules. This allows you to study a topic that interests you.
You will undertake an individual research project in an area of your choice. This can be with industry partners or with one of our expert research groups. Past projects have included:
- Development of location-based service for education
- UK precipitation forecasting
- The effect of virtual audiences on music performance anxiety
Why choose this course?
Ranked 6th in the UK
For universities targeted by the largest number of top employers in 2019-2020
High Fliers Report The Graduate Market 2019-2020
96.4% of postgraduates
from the School of Computer Science secured work or further study within six months of graduation
HESA Graduate Outcomes 2020, using methodology set by The Guardian
Multiple pathways
No computer programming experience is needed.
Your modules will depend on your background in computer science and maths
Scholarship available
There are three levels to the award which range from 10-50% off your tuition fees.
Excellence in Computer Science scholarships
Top 10
University in the UK, ranked by research power
Research Excellence Framework 2014
Ranked 6th in the UK
For universities targeted by the largest number of top employers in 2019-2020
High Fliers Report The Graduate Market 2019-2020
96.4% of postgraduates
from the School of Computer Science secured work or further study within six months of graduation
HESA Graduate Outcomes 2020, using methodology set by The Guardian
Multiple pathways
No computer programming experience is needed.
Your modules will depend on your background in computer science and maths
Scholarship available
There are three levels to the award which range from 10-50% off your tuition fees.
Excellence in Computer Science scholarships
Top 10
University in the UK, ranked by research power
Research Excellence Framework 2014
Ranked 6th in the UK
For universities targeted by the largest number of top employers in 2019-2020
High Fliers Report The Graduate Market 2019-2020PreviousNext
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Course content
You will study a total of 180 credits, split across 120 credits of compulsory and optional modules plus a 60-credit individual project.
Computer programming experience or experience with mathematics (e.g., statistics) is needed. These modules would need to average at a 2:1 requirement. The modules you study will be partly tailored to your background.
Modules
Core module for all students
Research Project
You will conduct a piece of empirical and/or theoretical research in data science, under the supervision of a member of academic staff. Where appropriate, your project may also be conducted in conjunction with an external organisation and may involve a substantial software implementation.
Students with background in Computer Science must take 60 credits from the following list of modules:
Machine LearningAdvanced Algorithms and Data StructuresComputer VisionSimulation and Optimisation for Decision SupportData Modelling and AnalysisProfessional Ethics in ComputingComputabilityParallel ComputingProject in Advanced Algorithms and Data StructuresLinear and Discrete OptimisationFuzzy Logic and Fuzzy SystemsFundamentals of Information VisualisationBig Data
Advanced Algorithms and Data Structures can be taken as a 20 credit module that includes a group project, or as a 10 credit module without a group project.
Students without a background in Computer Science must start with:
Programming
And are then required to obtain 40 credits from the remaining list of Computer Science modules:
Data Modelling and AnalysisComputer VisionMachine LearningSimulation and Optimisation for Decision SupportDatabases, Interfaces and Software Design PrinciplesFuzzy Logic and Fuzzy SystemsFundamentals of Information VisualisationBig Data
Mathematical Sciences modules
Students without a background in Mathematical Sciences must start with:
Statistical Foundations
And are then required to obtain 40 credits from the following list of Mathematical Science modules:
Applied Statistical ModellingTime Series and ForecastingApplied Multivariate Statistics
Students with a background in Mathematical Sciences must start with:
Statistical Machine Learning
Entry requirements
All candidates are considered on an individual basis and we accept a broad range of qualifications. The entrance requirements below apply to 2021 entry.
Undergraduate degree2:1 (or international equivalent) with evidence of aptitude in mathematics or computing. Graduates from other fields, with strong mathematics or computation background will be considered with 60% average mark
Applying
International applicants must apply by 07 February 2021
You may also find our international postgraduate fees page useful.
Our step-by-step guide covers everything you need to know about applying.How to apply
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