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The MSc Data Science at the University of Bath equips you with advanced skills in statistical data science, machine learning, analytic software technologies, and deep learning. Developed in consultation with industry experts, the program is ideal for graduates in computer science, mathematics, engineering, physics, or related fields with strong mathematical backgrounds who seek to become innovative and ethical data science specialists.
Accreditation:
Partially meets the requirement for CITP and CEng.
Ranking:
Top 10 UK university (Complete University Guide 2025); developed in consultation with industry to ensure strong career outcomes.
Course overview:
Semester 1: Analytic software technologies, Foundational machine learning, Understanding deep learning, Applied data science, Statistical data science
Semester 2: Applied data science, Foundational machine learning, Spatio-temporal analytics, Bayesian data science, Research and development project skills
Final phase: Specialized Project
Teaching methods:
A combination of lectures, seminars, team-based projects, and hands-on lab sessions in purpose-built teaching labs and a maker lab, with a strong emphasis on collaboration and practical experimentation.
Assessments:
Coursework, group projects, written examinations, and a dissertation or placement project, with a minimum 50% pass requirement. Final grade is based on 120 taught credits and a 30-credit dissertation or project.
Specialist labs access: 24/7 access to purpose-built teaching and maker labs.
GPU cluster: Use of an in-house GPU cluster for data-intensive analysis.
Team-based projects: Collaborative, multidisciplinary project work.
Industry-informed teaching: Curriculum designed with industry input and enriched by guest lectures.
Placement or dissertation: Individual research or placement project tackling real-world challenges.
Career support: Dedicated support from the university’s careers team.
Networking opportunities: Employer engagement and career development events.
Resource access: Extensive digital and library resources.
Academic guidance: Support and supervision from experienced academic staff.
Research-led projects: Opportunities to work on real-world and research-driven projects.
Graduate employment: Graduates pursue roles in data science across commercial enterprises, tech start-ups, and research organizations, including positions such as data scientist, machine learning developer, and software engineer.
Further study: Students can progress to a PhD in Data Science, Artificial Intelligence, or related fields.
Specialist MSc options: Opportunities to pursue advanced MSc programs in Machine Learning, Computational Statistics, or Deep Learning, supported by the program’s rigorous technical foundation.
IELTS: 6.5 overall with no less than 6.0 in all componentsTOEFL IBT: 90 overall with a minimum 21 in all 4 componentsScholarships availableAdditional year for Placement is availableThis course is accredited by BCS, the Chartered Institute for IT.Data ScientistMachine Learning DeveloperPython DeveloperSoftware EngineerData AnalystAI SpecialistResearch ScientistBusiness Intelligence AnalystData EngineerQuantitative Analyst
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University of Bath
