Data Science, MSc

Greenwich’s MSc in Data Science is designed to prepare graduates for advanced roles in data science, artificial intelligence (AI), and machine learning by providing a strong foundation in both theoretical concepts and practical applications. This program equips students with the skills required to thrive in industries like technology, finance, and healthcare, where data-driven decision-making is crucial.

Course Overview:

The curriculum covers essential areas such as:

• Data Science and Statistics
• Programming and Machine Learning
• Data Visualization
• Business Intelligence Applications

Accredited by BCS, The Chartered Institute for IT, the program also partially meets the academic requirements for Chartered IT Professional registration.

Core Modules (Compulsory):

• MSc Project (60 credits)
• Big Data (15 credits)
• Data Visualization (15 credits)
• Machine Learning & Applied Machine Learning (30 credits)
• Programming Fundamentals (15 credits)
• Statistical Methods for Time Series (15 credits)
• Essential Professional and Academic Skills

Electives (Choose 15 credits from each group):

• Clouds, Grids, and Virtualization
• Blockchain for FinTech Applications
• Technologies for Anti-Money Laundering
• Graph and Modern Databases

Learning Approach:

• Teaching Methods: The program includes a mix of lectures, tutorials, lab work, and independent study. Practical sessions help students apply their learning.
• Class Size: Larger lectures are supplemented by smaller group seminars and tutorials, promoting interaction.
• Study Support: Students have access to extensive resources from the Stockwell Street library and online platforms.

Assessment:

• Evaluation includes coursework, exams, and a final project. Feedback is typically provided within 15 working days.

Career Support:

• Graduates can enter fields like AI, data science, and machine learning across various industries.
• Employability and Careers Service provides:
• CV clinics, mock interviews, and skills workshops
• Dedicated Employability Officers for course-specific opportunities.

Additional Support:

• Students receive academic support from tutors and subject librarians.
• There is mathematics support available.
• Oracle Mentoring Scheme offers guidance for professional development and career planning.

Key Dates:

• The academic year runs from September to August, with projects completed over the summer.
• Timetables are released at the start of the term.

This MSc in Data Science prepares graduates to excel in the fast-evolving field of data science and AI, equipping them with the technical expertise and practical experience to succeed in the global job market.