MSc Data Science

1 Years On Campus Masters Program

Robert Gordon University

Program Overview

The MSc in Data Science at Robert Gordon University develops advanced skills in data management, analytics, and visualisation, preparing students to work confidently with large and complex datasets. It suits graduates with quantitative, computing or analytical backgrounds who want careers in data science, data engineering, or business intelligence.

Curriculum Structure

Year of Study (Full-time)

Students begin with core modules such as Data Mining, Advanced Data Management, Data Warehousing, and Information Retrieval Systems, learning how to collect, store, organise and extract patterns from structured and unstructured data.
As the course progresses, modules like Big Data Analytics & Visualisation, Data Science Development, and Advanced Data Science train students to handle large datasets, apply statistical and analytic methods, and create effective visual insights.
The MSc concludes with a Major Project or Industry-Based Project, where students design and deliver an end-to-end data-science solution, demonstrating real-world analytical and technical capability.

Focus areas: “Big-data management; data warehousing; data mining; analytics; data visualisation; applied data-science project.”

Learning outcomes: “Design data-storage solutions; manage and analyse large datasets; apply mining and statistical techniques; visualise insights; deliver a complete data-science project.”

Professional alignment (accreditation): Designed to meet industry demand for data-science and analytics professionals, preparing graduates for roles in data science, data engineering, business intelligence and analytics.

Reputation (employability rankings): RGU is recognised for strong graduate employability and industry-focused training, making this MSc well-regarded for producing job-ready data professionals.

Experiential Learning (Research, Projects, Internships etc.)

The MSc Data Science at Robert Gordon University (RGU) provides practical, industry-focused skills in data analysis, machine learning, and big data technologies. Students apply statistical and computational techniques to solve real-world business problems using professional software and cloud platforms.

Key experiential components:

Software & Tools: Hands-on analysis using Python (Pandas, scikit-learn), R, SQL, and big data tools on cloud platforms such as Microsoft Azure or AWS, including services for data warehousing and machine learning.
Computing Facilities: Access to RGU's computing labs and virtualised learning environment, providing remote access to necessary software and data science toolkits for flexible, applied learning.
Group Projects: Collaborative data science projects with a strong business analytics focus, where student teams work on end-to-end solutions to data-driven challenges, from sourcing and processing data to modelling and presenting strategic recommendations.
Applied Professional Focus: The curriculum is designed for direct career application, often incorporating case studies from industry. The final individual project is a substantial piece of practical work, typically involving the analysis of a significant dataset to address a specific organisational or research problem.

Progression & Future Opportunities

Graduates of Robert Gordon University's MSc Data Science program are well-prepared to enter growing fields such as Big Data, data analytics, and visualization. They acquire hands-on skills that align with UK and Scottish government priorities, making them competitive for roles in tech, government, and business sectors internationally. These skills open doors to varied career paths, from data-driven decision-making positions to research roles.

Typical job roles include:

Data Scientist
Data Analyst
Data Visualisation Specialist
Data Manager

The university provides strong career support, including placement opportunities that extend study duration, and project supervision to prepare students for real-world challenges. Graduate Outcomes data shows that most alumni find employment within 15 months of graduation, with starting salaries aligning with the competitive UK data science market. The program’s connections with industry focus on practical Big Data applications across several sectors, giving graduates valuable experience. The skills gained are long-lasting and relevant for roles like Big Data Scientist or Database Designer. Graduation outcomes emphasize readiness for analytics careers or further research, with graduates reporting good professional networks and satisfaction.

Further Academic Progression: Graduates can pursue PhDs at RGU or other institutions, focusing on areas like advanced analytics or Big Data, building on the MSc’s research project component and data-intensive modules. This pathway supports further specialization and academic research with university supervision and potential funding