MSc Data Science and its Applications

This programme focuses on applying data science techniques to real-world problems using the University's modern computing infrastructure. You will develop practical skills in data analysis, machine learning, and data visualisation using industry-standard software and tools. This applied approach is delivered through:

• Specialist Computing Laboratories: Access to the University's Data Science Lab and high-performance computing facilities with workstations equipped for data-intensive analysis.

• Industry-Standard Software: Practical work with data science programming languages like Python and R, plus machine learning libraries including TensorFlow and scikit-learn, and visualization tools like Tableau.

• Substantial Individual Project: A major final project where you tackle a substantial data science challenge, applying the full data lifecycle from acquisition to insight generation.

• Project-Based Learning: Collaborative work using real-world datasets in modules that simulate professional data science environments.

Graduates of the MSc Data Science and its Applications at the University of Greenwich develop strong expertise in data analytics, programming, and machine learning, enabling them to pursue roles as Data Scientist, Business Intelligence Analyst, Machine Learning Engineer, and Data Analyst. The program equips both STEM and non-STEM professionals to transition into data-focused careers in a range of sectors.​

• The university’s Employability and Careers Service offers CV clinics, mentoring, networking events, and support for industry placements, helping students secure relevant jobs and internships.​

• Employment outcomes are robust, with many graduates entering industry and research roles within six months; typical salaries range between £27,000 and £45,000 depending on sector.​

• Greenwich offers strong industry partnerships, guest lectures, and live projects tailored to current data science needs, providing direct experience and professional connections.​

• The MSc is recognized for its practical, applications-based curriculum and TEF Gold award for student experience, supporting long-term career value and adaptability.​

• Graduates demonstrate competencies in statistical modeling, big data processing, ethics, and real-world problem solving, enabling success in data-driven fields.​

Further Academic Progression:
Graduates can progress to PhD research in Data Science or related fields, interdisciplinary research roles, postdoctoral positions, or advanced professional certifications for deeper specialization and career advancement.