MSc Applied AI and Data Science with Placement Year دراسة Middlesex University في

MSc Applied AI and Data Science with Placement Year

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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.



Some of the benefits of joining us on this highly-regarded postgraduate degree include:



Focus on the interconnected areas of machine learning, visual analytics and data governance, and learn to strike a balance between theory and practice


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


Access 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


Learning industry-relevant languages, packages and platforms such as Python, scikit-learn, Amazon Web Services (AWS), Apache Hadoop and Apache Spark.

خيارات الدراسة

دوام كامل (2 أعوام )

رسوم التسجيــل
£10,800.00 (US$ 13,947) سنوياً
Accommodation - Usher Hall - Cost Per Week - Ensuite - Private Bathroom - GBP 189.84

هذه رسوم ثابتة
تاريخ البدء

سبتمبر 2026

مكان عقــد الدورة

Hendon Campus

The Burroughs,

London,

Greater London,

NW4 4BT, Southern England, United Kingdom

دوام كامل (2 أعوام )

رسوم التسجيــل
£11,300.00 (US$ 14,593) سنوياً
Accommodation - Usher Hall - Cost Per Week - Ensuite - Private Bathroom - GBP 189.84

هذه رسوم ثابتة
تاريخ البدء

سبتمبر 2027

مكان عقــد الدورة

Hendon Campus

The Burroughs,

London,

Greater London,

NW4 4BT, Southern England, United Kingdom

شروط القبول

للطلاب الدوليين

A minimum 2:2 honours degree in computer science, or a minimum 2:2 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)

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