Data Science Middlesex University
| Award | Attendance | Study | Duration | Start | Domestic fees | International fees |
|---|---|---|---|---|---|---|
| MSc | On-Campus | Full-time, Part-time | 1 - 2 years | September | find out | find out |
Course overview
This master's course has been designed to offer those with a familiarity in mathematical science or computing an opportunity to develop a set of skills for future employment in a way that builds on your existing knowledge and skills. After finishing the course, you'll be ready to enter a career as a data scientist.
You'll focus on the interconnected areas of machine learning, visual analytics and data governance, and learn to strike a balance between theory, practice, and the acquisition of industrially relevant languages and packages.
You'll also be exposed to cutting-edge contemporary research activity within data science that will equip you with the potential to pursue a research-based career, and, in particular, further PhD study at Middlesex.
Why Study Data Science at Middlesex?
Some of the benefits of joining us on this course include:
• A chance to explore theoretical and practical aspects of the subject while gaining industry-recognised skills.
• Studying a unique fusion of machine learning, visual analytics and corporate data governance.
• Opportunities to apply machine learning and visual analytics to any data source.
• Learning industry-relevant languages, packages and platforms such as Python, scikit-learn, Amazon Web Services (AWS), Apache Hadoop and Apache Spark.
What Will You Learn?
Your studies will focus on the intertwining areas of machine learning, visual analytics and data governance. You'll explore the theoretical underpinnings of the subject while gaining practical hands-on experience. You'll build on your existing knowledge and skill set to gain essential knowledge that will be readily applicable to a career in data science.
This course offers full-time students the opportunity to undertake a 12-month professional placement, gaining hands-on experience in data science, machine learning, and artificial intelligence applications across a range of industry and research settings.
Entry requirements for this course
Contact Middlesex University to find course entry requirements.
View foundation and pathway programmes to help you meet academic and language entry requirements.
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