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The course is called the MSc in Predictive Modelling and Scientific computing.

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There’s a range of challenges
facing the world today, both global

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and national challenges, things
like climate, environment, sustainability, energy security.

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Modelling allows us to understand things on
a different level than just by observation.

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The machine learning aspect brings in the reliability to the model.

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And these techniques are recent developments
and this is important for sustainability,

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the topics that matter in this time.

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The academics are, I think, they're excellent lecturers.

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They create a very relaxed learning environment,
which I think is really important.

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And they're specialists in their field, they incorporate that
into the teaching experience, which I think is very nice.

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We’re not teaching this course in a vacuum,
we focus on what's going on in the research

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we show the student
what is happening in the research world today.

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We have the links with the industrial partners.

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We know what they are looking for in graduates,

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and so we bring that in, and this is
not just a theoretical course,

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this brings the applications to the students.

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Students on this course will develop
a range of skills, both computational,

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mathematical and also physics based modelling skills,
and they'll be applicable to a wide range of industries.

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They'll learn numerical algorithms,
they'll learn optimisation, they'll learn

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statistical methods, machine learning, data science
and related techniques.

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Skills that we teach our students are highly sought after and they will have

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opportunities both in industry and in academia.

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We expect our students to be qualified for jobs

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in industrial research and development
across a range of disciplines,

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so pharmaceuticals, technology, materials,

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but also policy development,
like for example, National Grid.

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Industry are really looking for graduates who are able to get moving
quickly in a range of different problem areas.

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And we think this course will give a strong underpinning in
the fundamentals of predictive modelling and scientific computing,

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and that will enable students who graduate from our course
to rapidly move into a wide range of different areas.