Data Science (Artificial Intelligence and Statistics) Postgraduate Programme By University of York |TopUniversities

Data Science (Artificial Intelligence and Statistics)

Main Subject Area

Data Science and Artificial IntelligenceMain Subject Area

Programme overview

Main Subject

Data Science and Artificial Intelligence

Degree

MSc

Study Level

Masters

Study Mode

On Campus

This course produces data analysts with a focused specialism in data science, underpinned by formal training in advanced statistics, machine learning and artificial intelligence. As a graduate of this course, you'll be appropriately equipped to make significant contributions to your career and society as a whole.
The course builds upon your existing skills in mathematics and statistics (linear algebra, probability, statistics, coding) by developing advanced training in the field of data science. It encompasses a range of specialised domains such as temporal and data analytics and machine learning, fully underpinned by significant coding exposure. Interweaved across modules, the course harnesses three integrated strands that develop statistical, machine learning and computational thinking, with the seamless integration of these areas making graduates very attractive to employers.
You'll develop the technical skills needed to critically analyse, mine, and manage different kinds of data in order to learn, discover and interpret interesting patterns. You'll benefit and learn from our institutional expertise in statistics and machine learning.

Programme overview

Main Subject

Data Science and Artificial Intelligence

Degree

MSc

Study Level

Masters

Study Mode

On Campus

This course produces data analysts with a focused specialism in data science, underpinned by formal training in advanced statistics, machine learning and artificial intelligence. As a graduate of this course, you'll be appropriately equipped to make significant contributions to your career and society as a whole.
The course builds upon your existing skills in mathematics and statistics (linear algebra, probability, statistics, coding) by developing advanced training in the field of data science. It encompasses a range of specialised domains such as temporal and data analytics and machine learning, fully underpinned by significant coding exposure. Interweaved across modules, the course harnesses three integrated strands that develop statistical, machine learning and computational thinking, with the seamless integration of these areas making graduates very attractive to employers.
You'll develop the technical skills needed to critically analyse, mine, and manage different kinds of data in order to learn, discover and interpret interesting patterns. You'll benefit and learn from our institutional expertise in statistics and machine learning.

Scholarships

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