Data Science MSc by Research

5.0
1 opinion
  • Good place but due to expenses I won't recommend the same. During the seminars which are practical classes we get to memorize lots of things through exercises which is so positive and save us time from studying at home.
    |

In London

Price on request
  • Typology

    Master

  • Location

    London

  • Duration

    1 Year

  • Start

    October 2020

Description

Data science is positioned to be the major new arena of scientific discovery in the 21st century. As Eric Schimdt, CEO of Google, has pointed out, we now generate as much information every two days as we did from the dawn of human civilisation up until the year 2003.

To cope with this vast amount of data, there is an urgent requirement to derive meaningful insights from very large and diverse data sources: the so called 'big data challenge'. Secure identification of individuals, accurate financial prediction and reliable cancer diagnosis are all examples of area in which the technologies underpinning data science are marketing revolutionary contributions, enriching our lives, and making our future healthier, more efficient and more secure.

Facilities

Location

Starts

London
See map
The Burroughs, NW4 4BT

Starts

Oct-2020Now taking bookings

To take into account

Entry requirements UK & EU International How to apply Qualifications We normally require a second class honours degree 2:2 or above in a science-based discipline Entry is subject to the proposed project being acceptable Each application will be considered on its individual merits Eligibility UK/EU and international students are eligible to apply for this course. Academic credit for previous study or experience. If you have relevant qualifications or work experience, academic credit may be awarded towards your Middlesex University programme of study

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Opinions

5.0
  • Good place but due to expenses I won't recommend the same. During the seminars which are practical classes we get to memorize lots of things through exercises which is so positive and save us time from studying at home.
    |
100%
4.7
excellent

Course rating

Recommended

Centre rating

Francis

5.0
08/06/2015
What I would highlight: Good place but due to expenses I won't recommend the same. During the seminars which are practical classes we get to memorize lots of things through exercises which is so positive and save us time from studying at home.
What could be improved: nothing to improve
Would you recommend this course?: Yes
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2018
2017

All courses are up to date

The average rating is higher than 3.7

More than 50 reviews in the last 12 months

This centre has featured on Emagister for 10 years

What you'll learn on the course

  • Decision Making
  • Supervisor
  • IT
  • Visual Analytics
  • Machine Learning
  • Data Storage
  • Big Data
  • Data science
  • data scientists
  • intelligent transport

Course programme

Course content

What will you study on the MSc Data Science by Research?

The MSc by Research (Data Science) aims to bring together, in an interdisciplinary fashion, data science-related activities from across the University, centring on the core activities of machine-learning, visual analytics and data storage. These will work together to support applications-driven data scenarios.

To support the interdisciplinary nature of this programme, you will have a core activity supervisor (machine learning, visual analytics), as well as a supervisor specialising in your chosen application area.

This degree is an entirely research-based master's programme. The majority of your time will be spent working on your research project in the library, laboratories or elsewhere, under the direction of your supervisors.

Alongside your independent study, you will also have tutorial lectures in the key areas of machine learning and visual analytics. You will have regular meetings with your supervisor to review progress and plan future activities. You may also spend brief periods at partner sites, for example where your project involves collaboration with industry.

Full-time students are expected to attend for an average of 35 hours per week and part-time students for an average of 12 hours per week.

Assessment

Assessment will be based on a final dissertation of approximately 30,000 words. Two independent examiners will be appointed who will read and evaluate the dissertation, following which you will be invited to make an oral defence of your work.

You can find more information about this course in the programme specification. Module and programme information is indicative and may be subject to change.

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