Data Science and its Applications (Medway), MSc

MSc in Data Science and its Applications at Greenwich

Greenwich's MSc in Data Science and its Applications provides an in-depth foundation in both the theoretical and practical aspects of data science, preparing students for a wide range of careers in this rapidly growing field. The program is ideal for students transitioning into data science roles or for those looking to specialize further. Students will acquire the essential skills to analyze, solve, and evaluate data-intensive projects, which are vital in the modern data-driven world.

Program Highlights:

• Scholarships: £10,000 for eligible UK domicile students (particularly for females, black, disabled, or low socioeconomic backgrounds).
• Flexible Learning: Available as a one-year full-time or two-year part-time program.
• Career Focused: Develop strong programming, mathematical, and analytical skills that enhance employability in the data science field.
• Employability: Robust support services, including CV clinics, mock interviews, and workshops to prepare for a career in data science.
• Campus Options: Students can choose to study at either the Greenwich Campus or Medway Campus.

Curriculum Overview:

Full-Time Year 1 Modules:

• Compulsory:
• Databases and Data Infrastructure
• Ethics and Governance
• Group Project
• Individual Project
• Machine Learning and its Applications
• Principles of Data Science
• Programming for Data Science
• Research Project Management
• Mathematics and Statistics for Data Science
• Optional (choose 30 credits):
• Advanced Programming
• Medical Applications
• Data Visualisation
• Graph Theory
• Spatial Data Science

Part-Time Year 1 Modules:

• Compulsory:
• Machine Learning and its Applications
• Programming for Data Science
• Mathematics and Statistics for Data Science
• Optional (choose 15 credits):
• Advanced Programming
• Medical Applications
• Data Visualisation
• Graph Theory
• Spatial Data Science

Part-Time Year 2 Modules:

• Compulsory:
• Databases and Data Infrastructure
• Ethics and Governance
• Group Project
• Individual Project
• Principles of Data Science
• Research Project Management
• Optional (choose 15 credits):
• Advanced Programming
• Medical Applications
• Data Visualisation
• Graph Theory
• Spatial Data Science

Workload and Support:

• Workload: For full-time students, the program equates to a full-time job, including lectures, tutorials, labs, independent learning, and assessments. Part-time students will experience a proportionate reduction in workload.
• Academic Support: Dedicated academic staff provide robust support, complemented by the Oracle mentoring scheme for professional guidance and job-search assistance.
• Employability Support: Extensive support through CV clinics, mock interviews, and skills workshops to enhance career prospects in the fast-growing data science sector.

This MSc program is designed to ensure that students are equipped with the essential tools to succeed in data science roles, whether in the private or public sectors, or further academic study. With flexible learning options and targeted modules, it provides a comprehensive and dynamic pathway to a successful career in data science.