MSc Data Science

This programme is designed to transform you into an expert in intelligent systems through a deeply practical, research-led curriculum that bridges advanced theory with real-world application. You'll have access to our outstanding facilities in the School of Computer Science and Electronic Engineering, including our Centre for Vision, Speech and Signal Processing (CVSSP) - one of the UK's largest dedicated AI research centres - which houses specialised robotics laboratories, GPU clusters, and motion capture studios. Your learning is powered by cutting-edge tools and culminates in a substantial research project where you will design, implement, and evaluate complex intelligent systems, preparing you for a career at the forefront of AI innovation.

Here’s how you’ll gain advanced, hands-on experience:

• Specialised AI Software & Frameworks: You'll gain deep proficiency in professional tools including OpenCV for computer vision, ROS (Robot Operating System) for robotics, TensorFlow and PyTorch for deep learning, and Point Cloud Library for 3D vision processing.

• The MSc Research Project: The cornerstone of your degree is a six-month research project conducted within CVSSP, where you'll tackle a substantial challenge in vision, robotics, or machine learning, often using our specialist equipment and datasets.

• Robotics Laboratory: You'll conduct experiments in our dedicated robotics lab, working with humanoid robots, drone systems, and robotic manipulators to develop and test autonomous behaviours and control systems.

• Computer Vision Studio: You'll use our motion capture systems, light stages, and 3D scanning equipment for advanced work in visual recognition, scene understanding, and 3D reconstruction.

• GPU Computing Cluster: You'll have access to our high-performance computing facilities with dedicated GPU arrays for training complex deep learning models on large-scale visual and sensor data.

• Signal Processing Laboratory: You'll work with our audio-visual capture systems and processing equipment for multimodal learning and sensor fusion projects.

Graduates of the MSc Data Science at the University of Surrey are prepared for high-impact roles in industry, combining technical expertise in statistical modelling, machine learning, and large-scale data analytics to drive innovation and decision-making in sectors such as technology, finance, healthcare, and business intelligence. Many secure positions as Data Scientists, Machine Learning Engineers, Data Analysts, and Data Architects, with a robust career outlook reflecting the growing demand for advanced data skills:

• Surrey's award-winning Careers and Employability service provides tailored support, including employer networking events, targeted career guidance, CV and interview coaching, post-study career advice, and internship/placement opportunities with tech employers, plus careers support for three years after graduation.

• Recent employment results show that 95% of Surrey’s postgraduate graduates enter professional employment or further study within six months; typical starting salaries for data science roles range from £32,000 to £48,000 depending on sector and experience.

• University–industry partnerships include collaborations with the financial sector, healthcare providers, Surrey’s digital innovation hub, and technology companies in London’s financial centre, providing students with project-based learning, live case studies, and internships.

• The MSc is designed with industry collaboration, maintaining long-term value as a qualification recognised for its practical relevance and up-to-date expertise in data science and analytics.

• Graduates master a full range of technical and professional competencies—advanced analytics, cloud data solutions, data mining, research project management, and ethical/secure use of data—enabling successful entry and progression in the dynamic data sector.

Further Academic Progression:
Graduates can pursue a PhD in Data Science, Machine Learning, or related computational fields at Surrey or other top-tier research institutions. Other options include specialized research roles, postdoctoral fellowships, or professional certifications in advanced analytics, AI, or data engineering to enhance career progression and expertise.