The MSc Data Science at Manchester Metropolitan University is a 12-month full-time postgraduate program, with an optional two-year route that includes an industrial placement. The course equips students with technical and applied skills in data science, machine learning, and big data technologies, underpinned by real-world application.
Delivered by the Department of Computing and Mathematics, it incorporates academic research and professional engagement across multiple sectors, and benefits from links with industry partners such as BCS, Oracle Academy, and the Institute of Coding.
Teaching Methods: Lectures, seminars, lab sessions, and industry-led workshops
Assessment Methods: Coursework, coding projects, technical reports, group projects, and final dissertation
Accreditation:
Links with BCS, CompTIA, Institute of Coding, Oracle Academy, and Chartered Institute of Information Security.
Course overview
Core Modules:
Principles of Data Science
Computational Mathematics and Statistics
Algorithms and Data Structures
Machine Learning Concepts
Data Management and Governance
Advanced Machine Learning
Deep Learning
High Performance Computing and Big Data
MSc Project
Independent Research Project:
Students design and implement a data science software solution, culminating in a dissertation
Hands-On, Applied Learning: Real-world problems tackled using cutting-edge statistical and computational techniques
Optional Industrial Placement: One-year placement in a relevant data science role; support provided by the Careers and Employability Service and academic staff
Research-Led Instruction: Teaching informed by active research in healthcare, urban infrastructure, cybersecurity, and sustainability
External Engagement: Guest lectures and input from industry professionals foster professional connections and networking
Capstone Project: A substantial research or application-oriented dissertation that showcases students’ technical and analytical competencies
High employer demand for graduates with data analytics, ML, and big data expertise across multiple sectors
Real-world casework and research application ensure graduates are job-ready and innovation-driven
Placement option enhances employability and builds practical experience in professional contexts
Career development support available throughout and after graduation, including access to networking events and professional affiliations
Excellent preparation for PhD or further specialisation in AI, data science, or computational research
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