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The Data Science BSc (Hons) at the University of Greenwich is designed to equip mathematically inclined students with the skills needed to become proficient data scientists. Students gain both theoretical knowledge and practical experience, preparing them for careers in data analytics, artificial intelligence, and related fields or further specialised study.
Curriculum Structure:
Year 1:
Students begin by building a strong foundation in mathematics, statistics, and programming. Core units introduce essential concepts in modern mathematics, statistical methods, and computational problem-solving, allowing students to develop analytical skills for real-world data challenges.
Year 2:
The second year focuses on applying theoretical knowledge to practical scenarios. Students study modules in data analytics, machine learning, and database management, gaining hands-on experience in processing and interpreting complex datasets while enhancing programming proficiency.
Year 3:
In the final year, students can customise their learning through optional modules tailored to specific interests within data science. They tackle advanced topics in artificial intelligence, predictive modelling, and data visualisation, culminating in a capstone project that demonstrates their ability to solve real-world problems independently.
Focus Areas:
Mathematics, statistics, programming, machine learning, artificial intelligence, data analytics, database management, data visualisation.
Learning Outcomes:
Graduates will be able to analyse and interpret complex data, design and implement data-driven solutions, apply machine learning and AI techniques, and communicate insights effectively for business and research contexts.
Professional Alignment (Accreditation):
The program is aligned with industry standards and provides the skills sought by employers in data science, analytics, and technology sectors.
Reputation (Employability Rankings):
The University of Greenwich holds a Gold rating in the Teaching Excellence Framework (TEF 2023), reflecting outstanding student experience and career outcomes.
Students pursuing the Data Science BSc (Hons) at the University of Greenwich gain hands-on experience that bridges theory and practice, preparing them for real-world challenges in data-driven fields. The program places strong emphasis on mathematics, statistics, and programming, enabling students to apply their skills to practical problems, develop analytical thinking, and work with modern data tools. The department provides a supportive environment with access to specialized laboratories, software, and collaborative projects to enhance learning.
This practical learning is reinforced through a variety of structured opportunities:
Laboratories and computing facilities: Dedicated labs equipped with industry-standard software for data analysis, programming, machine learning, and AI.
Programming and analytics tools: Hands-on experience with Python, R, SQL, and relevant data science libraries and frameworks.
Group projects and team-based work: Collaborative assignments simulating real-world data science scenarios.
Industry engagement: Opportunities for internships, placements, and networking through university partnerships with private companies, public agencies, and NGOs.
Research-led learning: Participation in research projects guided by experienced academics, integrating latest methodologies and innovations.
Optional modules: Tailor your learning with elective modules in areas like data analytics applications and specialized data science fields.
Greenwich Campus resources: Access to extensive libraries, digital tools, and computing resources to support coursework and independent research.
Sandwich year option: A four-year course variant including a work placement to gain professional experience before graduation.
This blend of practical training, advanced software use, collaborative projects, and industry connections ensures that graduates are well-prepared to step confidently into careers in data science, analytics, and beyond.
Graduates from the Data Science BSc (Hons) at the University of Greenwich emerge ready to tackle roles as Data Analysts, Business Intelligence Specialists, or Machine Learning Engineers:
University Career Services: Dedicated employability support including CV workshops, interview preparation, and one-to-one career guidance through Greenwich’s Careers and Employability Service.
Employment Stats & Salary: Recent graduates report high employability, with starting salaries in the UK ranging from £25,000–£35,000 depending on role and sector.
University–Industry Partnerships: Collaborations with tech companies and public sector organisations provide live projects, placements, and internship opportunities.
Accreditation Value: Recognised by professional bodies, ensuring your qualification is respected in the global data science industry.
Graduation Outcomes: Many alumni move into data-driven roles across private enterprises, government departments, or international NGOs, leveraging strong analytical and programming skills gained during the degree.
Further Academic Progression:
After completing the BSc, students can pursue advanced studies such as MSc Data Science, Artificial Intelligence, or Big Data Analytics. These pathways can lead to specialist roles, research careers, or even PhD-level study in data-centric disciplines.
120 UCAS Tariff points which must include A Level Mathematics at grade C OR other A Level at grade C in a numerate subject (such as Physics, Chemistry, Biology, Economics, Computer Science, Statistics, etc).A-level: BBBIELTS 6.0 overall with minimum 5.5 in each skillTOEFL: 72 overall with no less than: Reading:18 Listening:17 Speaking:20 Writing:17For Indian applicants: Completion of Standard XII with a minimum grade of 65%, obtained within the last two years.For those seeking advanced entry into Year 2 or Year 3, the following requirements apply: Completion of Year 1 of a relevant degree programme with a minimum grade of 60%.For US applicants: High School Diploma with minimum GPA 3.2 or GED 175; for GPA 2.8 or GED 165, you also need one of the following: ACT 22+; AP grade 3+ in 2 tests; SAT 1050 with min 500 each (post-March 2016) or 1650 (pre-March 2016); IB modules min 18 points.Data AnalystStatisticianBusiness Intelligence AnalystRisk AnalystData ScientistActuaryMarket Research AnalystFinancial AnalystQuantitative AnalystOperations AnalystPolicy AnalystHealth Data AnalystMachine Learning EngineerStatistical ProgrammerResearch Scientist
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University of Greenwich
