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The MSc Advanced Data Science with Statistics equips students with strong statistical theory and advanced data science skills—machine learning, image processing, and customisable electives—so they can draw reliable insights from large, complex datasets. It is ideal for learners with quantitative or computing backgrounds who want roles in data science, statistics, health data, finance, or industry R&D.
Curriculum Structure
Semester 1:
Students begin with core modules such as Graduate Foundations of Statistics and Data Science, Computing Foundations of Data Science, Image Processing, Machine Learning with Project, and Foundations of Machine Learning with Advanced Topics. These give a solid grounding in statistics, programming, image-based data, and initial applied machine learning.
Semester 2:
In semester two, students select optional modules to suit their interests—options include Time Series with Advanced Topics, Survival Analysis with Advanced Topics, Extreme Value Theory with Advanced Topics, Clinical Trials with Advanced Topics, Decision Modelling for Health Data Science with Advanced Topics, etc. These allow specialisation in statistical modelling, health data, extreme events, or experimental design.
Focus areas: “Statistical foundations, machine learning, image processing, optional specialised topics (health, extreme values, time series), dissertation”
Learning outcomes: “Master theoretical and applied statistics; apply advanced data science methods (machine learning, image analysis); customise expertise via electives; produce a full-scale research or industrial project; be prepared for roles requiring both data science and statistical rigour.”
Professional alignment (accreditation): “Designed to match employer need in industries needing strong statistic-aware data scientists; integrates applied and theoretical modules; offers industrial dissertation to build real-world skills.”
Reputation (employability rankings): “Newcastle University is highly ranked in UK statistics & maths subjects; graduates from these programmes are competitive for roles in government, health analytics, finance, and industry R&D.”
The MSc Advanced Computer Science at Newcastle University offers students the chance to develop practical skills and advanced knowledge through hands-on learning supported by top-tier facilities. Based in the Urban Sciences Building (USB) on the Newcastle Helix campus, the program provides access to modern teaching spaces, specialist laboratories, and collaborative areas designed to foster innovation and teamwork.
Experiential learning includes:
Dedicated computer clusters and flat-floor teaching spaces equipped with high-performance PCs running Linux and Windows, providing an ideal environment for practical workshops and coding sessions.
Access to specialist labs like the Cyber Security Lab, featuring virtualisation servers, isolated networks, and equipment for ethical hacking exercises.
The MakerSpace facility with 3D printers, electronics, and tools for building physical computing projects, supported by expert staff.
Immersive virtual reality suites, motion capture facilities, and data visualisation technologies such as stereoscopic walls and eye-tracking devices.
Collaborative study spaces for group projects and networking with peers, fostering communication and teamwork skills.
Comprehensive academic and wellbeing support, including personal tutors, digital learning platforms, and sensory wellbeing rooms for relaxation and reflection.
This blend of cutting-edge technology, expert guidance, and collaborative environment ensures students gain the hands-on experience required for success in today's tech careers.
Graduates of the MSc Advanced Data Science with Statistics at Newcastle University acquire expert skills in statistical analysis, machine learning, and data science techniques, preparing for roles such as Data Scientist, Statistician, Biostatistician, Machine Learning Engineer, and Risk Analyst. The program combines rigorous theoretical grounding with applied data projects, ensuring readiness for diverse data-driven careers across industries.
Newcastle’s Careers Service offers extensive support through career workshops, networking events, internship placements, individual career coaching, and guidance in professional development.
Graduates enjoy strong employment prospects, with typical salaries ranging between £28,000 and £50,000 depending on sector and experience; employers have included LEGO, Bank of England, NHS, and PwC.
The program benefits from partnerships with leading organizations such as Meta, The Alan Turing Institute, JP Morgan, NHS, and National Highways, providing internship opportunities, guest lectures, and industry-led projects.
Long-term accreditation value stems from the program’s design in consultation with an Industrial Advisory Board, ensuring industry relevance and alignment with professional standards.
Graduates demonstrate expertise in data modelling, ethical data use, visualization, and practical problem solving in sectors including healthcare, finance, transport, and AI innovation.
Further Academic Progression:
Graduates are well prepared to pursue doctoral research in statistics, machine learning, or data science, or obtain advanced professional certifications and leadership roles in research and industry.
A 2:1 BSc honours degree, or international equivalent, in mathematical sciences or another quantitative degree with a formal mathematical component.USA- A four year Bachelor degree with GPA 3.0/4.0 as comparable. India - Bachelors degree with minimum 60-65%IELTS 6.5 overall (with a minimum of 5.5 in all sub-skills).TOEFL 90 overall (with a minimum of 17 in listening, 18 in reading, 20 in speaking, and 17 in writing).Software DeveloperDatabase AdministratorComputer Hardware EngineerComputer Systems AnalystComputer Network Architect
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