Computer Science (Data Science) at University of Greenwich - UCAS

Computer Science (Data Science)

University of Greenwich

Degree level: Undergraduate
Awarded by: The Chartered Institute for IT (BCS)

Course options

There are other course options available which may have a different vacancy status or entry requirements – view the full list of options

Course summary

TEF Silver

University of Greenwich has opted into the TEF and received a Silver award.

Find out more about the TEF.

This computer science degree specialising in data science enables you to gain the analytical skills necessary to extract and process data in a variety of applications. Throughout this degree you will develop a firm grasp of the science underpinning computer and software systems. You will gain practical experience of developing systems using the latest technologies and techniques, as well as exposure to the latest trends that will shape the future of computer science. By the end of the course, you will be equipped to study independently and develop and adapt your skills throughout your career. Modules include Statistical Techniques with R, Information Visualisation and Big Data and Machine Learning. This course is accredited by The British Computer Society (BCS), the Chartered Institute for Information Technology. On completion of the course you are entitled to registration as a Chartered Information Technology Professional (CITP). Additionally, the course meets academic requirements towards Chartered Engineering (C.Eng) status. Chartered Engineers are degree qualified from accredited institutions and have gained professional competencies through career development and progression. By professional review, candidates can register with the Engineering Council as a Chartered Engineer. What you should know about this course

  • Develop the analytical skills required to develop solutions and applications in big data
  • Learn the core algorithms underpinning data processing, as well as analyse and visualise large data sets using a range of statistical technologies
  • Gain valuable skills and the ability to design intricate algorithms and visualisations from large unstructured data
  • Elicit, analyse, and specify requirements and master the mathematical and analytical foundations underpinning data
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Course details

Modules

Please see our website for more information.

Assessment method

Students are assessed through: Examinations, Coursework and Project's

Professional bodies

Professionally accredited courses provide industry-wide recognition of the quality of your qualification.

  • BCS - The Chartered Institute for IT

Unistats information

Operated by the Office for Students
No data
Student satisfaction
55%
Employment after 6 months (Most common jobs)
75%
Go onto work and study

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How to apply

Application deadlines

If your application is completed by the following date, it’s guaranteed to be considered:

15 January

*If you apply after this deadline, universities or colleges don’t have to consider your application if they’ve filled their spaces, so the sooner you apply, the better!

Application codes

You will need these codes when you add a choice to your application.

Please select a course option – you will then see the application code you need to use to apply for the course.

Points of entry

The following entry points are available for this course:

  • Year 1

Entry requirements

Qualification requirements

QualificationOfferFurther information
UCAS Tariff 112 points
A level BBC
Pearson BTEC Level 3 National Extended Diploma (first teaching from September 2016) DMM
GCSE/National 4/National 5 GCSE English and Mathematics (Grade 4 / C)

Fees and funding

Tuition fees

Channel Islands £9250 Year 1
EU £9250 Year 1
England £9250 Year 1
Northern Ireland £9250 Year 1
Scotland £9250 Year 1
Wales £9250 Year 1
International £13000 Year 1

Additional fee information

Fees are set for 19/20 intake and may be subject to change for 20/21.
Computer Science (Data Science) at University of Greenwich - UCAS