Data Science

Entry requirements

We welcome your application regardless of your background or experience.

For this course, ideally, we are looking for these qualifications:

• A minimum 2:2 honours degree in computer science, or a minimum 2:1 in a relevant subject (such as maths, physics, or engineering), or two or more years of relevant working experience (such as programming, data analytics or machine learning)
• Graduate-level professional qualifications.

Months of entry

January, September

Course content

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.

What you will gain

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.

Placements

Industrial placement is offered as an optional opportunity for full-time students studying at the London campus. Students can choose either a 3-month or 12-month placement duration.

Fees and funding