Course options

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

Make sure you check on the university, college or conservatoire website for any updates about course changes as a result of COVID-19.

Course summary

As the amount of data available to organisations grows, the science of gaining insights from this data grows with it. Industry, research institutions and governments seek to extract value from data to improve products and services, serve their customers better, and run more operationally efficient organisations. This creates a growing need for skilled Data Scientists who use their mathematical, computational and presentational skills to mine data for value. This MSc Data Science and Analytics degree will give you an essential understanding of the methods, tools and techniques you will use in your career as a Data Scientist and provide you with opportunities to apply your theoretical knowledge in practical situations. You will complete a range of project work on this course to prepare you for the workplace. You will link your theoretical learning to real-world scenarios across a range of industry and government sectors and have the opportunity to decide the methods and tools best suited to the project based on your previous learning. The course may be for you if you are:

  • a mathematics graduate who wants to use your skills in a vocational, business based environment
  • a computer science graduate wishing to follow a vocational route
  • an individual currently working in business and looking to grow your career through gaining Data Science and Business Analytics skills.
  • This course was designed in consultation with industry partners to ensure it reflects the current needs of businesses. The course focuses on the skills and experiences businesses need in their employees.

Modules

The programme’s content emphasises practice (based on theory), which is underpinned by industry style projects and a focus on practical assessment tasks. You will study a selection of core modules in each year. Each module is worth a number of credits and is delivered differently, depending on its content and focus of study.

Assessment method

This course uses interactive lectures, self-learning, workshops and hands-on projects. You will be assigned an Academic Advisor from the start of your course who will work with you throughout your studies to help you reach your academic potential.


Entry requirements

A 2:2 or higher in an appropriate course with a B grade in Maths at A level or equivalent For more information contact: Dr Kamaran Fathulla, [email protected]


English language requirements

TestGradeAdditional details
IELTS (Academic)6.5With no element lower than 5.5
PTE Academic58
TOEFL (iBT)89

For more detail about our English language requirements, including details of the University's Summer Pre-Sessional English language courses, see our website.

https://www.chi.ac.uk/international/english-language-requirements


Fees and funding

Tuition fees

Republic of Ireland £9450 Year 1
EU £16065 Year 1
England £9450 Year 1
Northern Ireland £9450 Year 1
Scotland £9450 Year 1
Wales £9450 Year 1
Channel Islands £9450 Year 1
International £16065 Year 1

Additional fee information

No additional fees or cost information has been supplied for this course, please contact the provider directly.

Provider information

Visit our website

Our COVID-19 information

University of Chichester
Bishop Otter Campus
College Lane
Chichester
PO19 6PE


Clearing contact details

Clearing Hotline

01243 816001

Course Clearing information

Additional information

17th August: 8-00 a.m. to 6 p.m.; 18th August: 8-00 a.m. to 5 p.m. Then normal office hours: Monday to Friday 9 a.m. to 5 p.m.


Course contact details

Visit our course page
Admissions and Enquiries

01243 816002

Data Science and Analytics at University of Chichester - UCAS