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Data Science

1 Study option · UndergraduateMain site - West London

Course summary

As a graduate of a BSc Data Science degree, you will offer your employers outstanding skills in modelling, statistical analysis, and software development.
The course offers a balance between theory and applications, allowing you to both develop a deep understanding of mathematical and statistical tools whilst, being able to translate these into concrete computer-based solutions.
Upon successful completion of this degree, you will be well-equipped to enter a career in data analysis, modelling, finance/insurance, or in the computing industry. You may also choose to further specialise by undertaking postgraduate studies in subjects such as computer science, cyber security, data science, or artificial intelligence.

What you'll study
The course introduces you to mathematical, statistical, and computing techniques that form the basis of many tools used in industry, engineering, business, and education, using information and data as an integral part of decision-making and teamwork.
This data science course aims to produce graduates who:
• meet employer requirements for well-trained, competent, and adaptable professionals with expert knowledge in data-driven decision-making
• are highly numerate and able to use this to applications for modelling purposes
are independent learners, able to acquire new skills and continue to build their knowledge, to adapt to a rapidly changing job market
• can undertake postgraduate studies in several disciplines related to data science, computing and artificial intelligence
• are strong communicators and have strong interpersonal and team working skills
have knowledge of ethical issues, particularly the need for sensitivity in data handling and decision-making.
Throughout your studies you can expect a supportive learning environment that will:
• develop your interpersonal skills
• raise your self-awareness
• encourage personal and career growth
• stimulate the idea of lifelong learning.
You can expect regular contact with employers and career advisers, as an integral part of taught modules and extracurricular activities. We offer an inclusive and diverse learning environment that makes use of a variety of teaching and learning methods, and encourages teamwork.

How to apply

Application codes

Course code:
G302
Institution code:
W05

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

70 Employment after 15 months (Most common jobs)

80 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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