Data Science BSc (Hons)

At the University of Sussex, the Data Science BSc (Hons) program is carefully crafted to combine solid academic learning with practical, hands-on experience. Students get to tackle real-world data challenges, using modern tools and facilities to build skills that are highly valued in today’s data-driven world. The program emphasizes experiential learning at every step, making sure graduates are ready to thrive in the fast-evolving field of data science.

Experiential Learning Opportunities:

Students in this program benefit from a rich variety of practical learning experiences, including:

• Working with large-scale, real-world datasets: Students engage in projects involving complex data, helping them develop effective, real-world solutions.

• Mastering Python and other key computing and mathematical tools: The curriculum ensures students become confident and proficient with the essential tools for data manipulation and analysis.

• Applying advanced machine learning techniques: Students learn to build predictive models and solve challenging problems, gaining skills that are valuable across industries.

• Access to specialized research centers: The program is supported by Sussex Artificial Intelligence and the Data-Intensive Science Centre (DISCUS), giving students opportunities to take part in cutting-edge research projects.

• Participating in industry-focused projects: Students work on projects that simulate real-world data science scenarios, sharpening both problem-solving and teamwork skills.

• Opportunities for internships and placements: The program helps students gain practical, professional experience, bridging the gap between classroom learning and industry expectations.

• Access to modern laboratories and computing facilities: Students can use high-performance computing resources to efficiently handle complex data analyses.

• Learning with advanced software tools: The curriculum integrates specialized software commonly used in the industry, ensuring students are job-ready.

• Engaging in field trips and site visits: Students have the chance to visit organizations and institutions, seeing firsthand how data science is applied across different sectors.

• Using comprehensive libraries and digital resources: The university provides extensive physical and online resources to support research, learning, and innovation.

These experiential learning opportunities are at the heart of the Data Science BSc (Hons) program at the University of Sussex. They ensure that students not only gain strong theoretical knowledge but also develop the practical, hands-on skills needed to succeed in the exciting field of data science.

Graduates of the Data Science BSc (Hons) at the University of Sussex are well-equipped to step into the fast-growing world of data science. With solid training in programming, statistics, and data analysis, they are prepared to tackle complex, real-world challenges that rely on data. Typical roles for graduates include:

• Data Analyst

• Data Scientist

• Machine Learning Engineer

• Business Intelligence Analyst

University Support & Industry Connections

• Career Services: Sussex provides extensive career support, including workshops, personal advising, and access to a wide network of employers to help students plan and launch their careers.

• Industry Partnerships: The university works closely with leading tech companies, offering students opportunities for internships and hands-on project experience.

• Accreditation: The program is accredited by the Institute of Mathematics and its Applications, ensuring it meets rigorous academic and professional standards.

• Graduate Employment Rate: Sussex graduates enjoy a strong employment record, with 92.9% finding work after completing their studies, highlighting the program’s effectiveness in preparing students for the workforce.

• Salary Expectations: While exact figures vary, data science roles generally offer competitive pay, with many entry-level positions above the national average.

Further Academic Progression

After completing the BSc in Data Science, graduates can continue to expand their knowledge and career prospects through postgraduate study:

• Data Science MSc: This program allows students to deepen their technical expertise and engage in advanced coursework and research.

• Human and Social Data Science MSc: Focused on the societal and ethical dimensions of data science, this program is ideal for those interested in how data intersects with social issues.

• Mathematics with Data Science MMath: For those seeking a more mathematically intensive path, this program combines rigorous mathematics with data science, opening doors to research and advanced analytical roles.

These postgraduate options provide opportunities to specialize further, whether in academia, research, or industry, and can significantly enhance career prospects.