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Data Science

2 Study options · UndergraduateHolloway

Course summary

This Data Science bachelor’s course offers a comprehensive introduction to the most important areas of the discipline, including data programming, statistical modelling, business intelligence, machine learning and data visualisation.

Designed by academics from both Mathematics and Applied Computing backgrounds, this course is made up of fine-tuned modules which are designed with your future in mind. The course will foster your learning development using a range of tools and big data platforms, allowing you to continue to specialise in data engineering, analytics, big data visualisation, statistical modelling and machine learning.

The specialist nature of this course will allow you to explore and experience advanced techniques in data science and data analytics. You’ll acquire practical skills, often first-hand from an external organisation, which will prepare you for your future as a data scientist.

How to apply

Application codes

Course code:
D300
Institution code:
L68

This course may be available at alternative locations, please check if other course options are available.

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Open days

Historical entry grades data BETA

This section shows the range of grades students (with UK A-Levels or Pearson BTEC Level 3 National Extended Diplomas) who received offers were previously accepted with (learn more). It is designed to support your research but does not guarantee whether you will or won't get a place. Admissions teams consider various factors, including interviews, subject requirements, and entrance tests. Check all course entry requirements for eligibility.

Not enough data available

We are unable to show previous accepted grades for this course. This could be because the course is new, it's a postgraduate course, there isn't enough historical data, or the provider has opted out of sharing their entry grades data for this course - learn more.

Student Outcomes

Operated by the Office for Students

53 Employment after 15 months (Most common jobs)

75 Go onto work and study

The number of student respondents and response rates can be important in interpreting the data – it is important to note your experience may be different from theirs. This data will be based on the subject area rather than the specific course. Read more about this data on the Discover Uni website.

Fees and funding

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