Data Science

With the advent of distributed sensor networks and cheap data storage, the acquisition of large datasets is now common both in academic science and industrial practice. Similarly, ongoing research projects are collecting large amounts of biological data that can revolutionise the future of medicine. Mathematicians and computer scientists are providing appropriate and up-to-date tools to deal with these large datasets.

Data science at Sussex can count on a unique interdisciplinary environment including collaboration with life sciences and engineering and informatics. Our faculty will introduce you to the theory and practice of state-of-the- art data science with applications ranging from mathematics to physics, from biology to
computer science.

This MSc is aimed at those who have an interest in data science and its applications to sciences and technology. This course is for you if you are looking to move into industry including financial services, or to pursue further studies such as a PhD with focus on statistics or on applied sciences.

• Our courses are taught by world-renowned faculty with a strong background in relevant areas of research. In the 2014 Research Excellence Framework (REF) 81 per cent of our research outputs were categorised as world-leading or internationally excellent. Mathematics at Sussex is ranked in the top 25 in the UK in The Guardian University Guide 2017.
• Mathematics is crucial to everyday life, from being the basis of internet banking security to verifying the safety of pharmaceuticals through statistics, and offers many career options.
• Members of the Department maintain many collaborative links with other departments both in the UK and overseas.
• The Department fosters an intellectually stimulating environment in which students are encouraged to develop research interests with the support of the faculty.

Core modules

• Algorithmic Data Science
• Data Analysis Techniques
• Data Science Research Methods
• Machine Learning
• Wider Topics in Data Science

Options

• Advanced Natural Language Processing
• Advanced Particle Physics
• Applied Natural Language Processing
• Coding Theory
• Current Topics in Life Sciences
• Genomics and Bioinformatics
• Image Processing
• Introduction to Genes and Biochemistry
• Mathematics and Computational Methods for Complex Systems
• Monte Carlo Simulations
• Numerical Solution of Partial Differential Equations
• Particle Physics Detector Technology
• Programming in C++
• Web Applications and Services

Requirements

• Magistr or Specialist Diploma with a minimum average mark of at least 4
• A first- or upper second-class undergraduate honours degree with an engineering, science, computing, mathematics or life sciences background.
• IELTS 6.0, with not less than 6.0 in each section.
• Reference
• Transcript
• A personal statement
• The application fee is £13 if you’re applying to just one course

Want to improve your English level for admission?

Prepare for the program requirements with English Online by the British Council.

• ✔️ Flexible study schedule
• ✔️ Experienced teachers
• ✔️ Certificate upon completion

📘 Recommended for students with an IELTS level of 6.0 or below.

Enroll in the course

Funding options for the Data Science program at the University of Sussex include a range of scholarships, bursaries, and financial support schemes designed to assist students in financing their studies. Prospective students are encouraged to explore the university’s official scholarships webpage to identify eligibility criteria for departmental scholarships, merit-based awards, and country-specific bursaries. The university offers several merit-based scholarships that recognize academic excellence, which may cover partial tuition fees or provide additional financial support. Additionally, students from specific countries may benefit from government-funded scholarships or international bursaries provided by the university’s partner organizations.

International students can also consider applying for funding through external agencies such as government scholarship programs, which often support studies in fields related to data science, such as STEM disciplines. The university provides guidance on external funding sources, including research council grants and industry-sponsored awards that support postgraduate studies. For students engaging in research components of the program, there are also opportunities for research assistantships that offer stipends and tuition fee waivers.

The university’s financial aid office offers personalised advice for prospective and current students regarding loan options, payment plans, and financial planning. Students enrolled in the Data Science program may also be eligible for part-time work opportunities available on and off-campus, which can supplement their income and help manage study costs. Furthermore, the university sometimes offers specific funding competitions or innovative project grants that students can apply for as part of their academic journey.

It is recommended to check the university’s official website regularly for the latest information on available funding, deadlines, and application procedures. It's also advisable to contact the university’s admissions or financial aid office directly to get tailored advice based on individual circumstances and to confirm the most current funding opportunities specific to the Data Science program.

The MSc Data Science program at the University of Sussex offers a comprehensive pathway into the rapidly evolving field of data science, combining theoretical foundations with practical skills. Designed for students with a background in computing, mathematics, or related disciplines, this course aims to equip graduates with the analytical, technical, and problem-solving abilities necessary for a successful career in data-driven industries.

Throughout the program, students gain a solid understanding of core concepts such as statistical analysis, machine learning, data management, and programming in languages like Python and R. The curriculum emphasizes hands-on experience, including practical projects, real-world data analysis, and collaboration with industry partners. This approach ensures that students not only learn theoretical models but also develop the skills needed to apply them in professional settings.

Moreover, the program explores advanced topics such as artificial intelligence, big data technologies, and data visualisation techniques, preparing students to handle large datasets and extract meaningful insights. The course also includes modules on ethics and data governance, reflecting the importance of responsible data use in society and business.

Students benefit from the university’s strong links with industry and research in data science, providing opportunities for internships, networking, and career development. The university’s dedicated facilities and resources, including access to high-performance computing and specialised software, support the practical aspects of learning.

Graduates of the MSc Data Science at Sussex are well-prepared for roles such as data analyst, data scientist, machine learning engineer, or business intelligence analyst. They can also pursue further research or PhD studies in related fields. The program's blend of theory and practice, combined with Sussex's supportive academic environment and industry connections, makes it a compelling choice for those aiming to build a career in data science. The university’s emphasis on interdisciplinary learning ensures that students develop not only technical competencies but also critical thinking and communication skills essential for leadership in data-centric roles.

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