Enter OTP
The MSc Data Science at the University of Nottingham is an interdisciplinary program taught by the Schools of Computer Science and Mathematical Sciences, designed to equip students with advanced skills in statistical modelling, machine learning, advanced algorithms, and big data. It is suitable for graduates from a range of backgrounds, with flexible pathways based on prior experience in computer science and mathematics, and requires no prior programming experience.
Reputation:
University of Nottingham is among the top UK universities targeted by major employers (High Fliers Report 2019-2020)
Course overview:
Core Modules:
Research Project
Machine Learning
Project in Advanced Algorithms and Data Structures
Computer Vision
Simulation and Optimisation for Decision Support
Data Science with Machine Learning
Linear and Discrete Optimisation
Handling Uncertainty with Fuzzy Sets and Fuzzy Systems
Big Data Learning and Technologies
Designing Intelligent Agents
Data Visualisation
Research project: Students undertake a 60-credit individual research project, which may be conducted in collaboration with industry partners or research groups and can involve substantial software development.
Teaching methods: Students learn through lectures, workshops, computer classes, lab sessions, and seminars. Practical skills are developed using Haskell, C, Python, R, big data frameworks, visualisation tools, and web-based technologies such as HTML, CSS, and JavaScript. Real-world datasets are used throughout.
Assessments: Modules are assessed via a combination of coursework and exams. The individual research project is assessed through research paper-style reports and presentations. Students must achieve a minimum of 50% to pass each module.
Computer labs and software: Access to advanced computer laboratories and industry-standard software.
Practical programming: Programming experience in Haskell, C, Python, R, and web-based technologies.
Big data frameworks: Hands-on use of big data platforms such as Hadoop and Spark.
Real-world datasets: Projects and coursework involve practical, real-world data.
Campus facilities: Study at Jubilee Campus with eco-friendly buildings and dedicated computing infrastructure.
Industry collaboration: Opportunities to conduct research projects in partnership with industry.
Seminars and academic support: Regular seminars and drop-in sessions with academic staff.
Library and digital resources: Full access to the university’s extensive libraries and online databases.
Academic skills support: Dedicated English language and academic skills resources available.
Networking and career events: Regular events for career development and industry engagement.
Interdisciplinary research: Opportunities to collaborate across departments on joint projects.
Graduate employment: Graduates are highly employable in sectors such as technology, finance, healthcare, and government, supported by strong industry links and excellent career services.
Further study: Students can pursue a PhD in Data Science, Computer Science, or related fields.
Advanced MSc programs: Specializations include Artificial Intelligence, Big Data Analytics, or Statistical Modelling, building on the core foundation provided by the MSc Data Science.
97% of School of Computer Science graduates secured work or further study within six months (HESA Graduate Outcomes 2020).
Part time studies availableIELTS: 6.5 with at least 6.0 in each elementTOEFL iBT: 90 (minimum 19 in writing and listening, 20 in reading and 22 in speaking)Entry requirements: 2:1 (or international equivalent) with an affinity for programming and/or advanced statistics evidenced through prior study or practical experience detailed in the application. Graduates from other fields, with strong mathematics and/or computer science background will be considered with 60% average mark.Scholarships availableAcademic transcripts, Evidence of English language proficiency (if applicable), Personal statement and References required for applicationData ScientistData AnalystMachine Learning EngineerBig Data EngineerBusiness Intelligence AnalystResearch ScientistSoftware DeveloperOptimisation AnalystDatabase AdministratorAI Specialist
Embark on your educational journey with confidence! Our team of admission experts is here to guide you through the process. Book a free session now to receive personalized advice, assistance with applications, and insights into your dream school. Whether you're applying to college, graduate school, or specialized programs, we're here to help you succeed.
University of Nottingham
