Taught course

Big Data Analytics

Institution
Sheffield Hallam University · Faculty of Arts, Computing, Engineering and Science
Qualifications
MSc

Entry requirements

A good honours degree in computing, computer science, maths or statistics or other relevant areas or equivalent.

We consider your application if you do not have a relevant degree but have at least one year's direct work experience in computing or a relevant area. You may also be able to claim credit points which can reduce the amount of time it takes to complete your qualification at Sheffield Hallam. Find out more

Non-native speakers of English need an IELTS score of 6.0 with 5.5 in all skills (or equivalent). If your English language skill is currently below an IELTS score of 6.0 with a minimum of 5.5 in all skills we recommend you consider a Sheffield Hallam University Pre-sessional English course which will enable you to achieve an equivalent English level.

Months of entry

September

Course content

Develop the skills to become a talented data scientist able to complete technical roles, such as data mining specialist, predictive modeller, computational linguist and statistical analyst on this course. It develops both the analytical and technical skills you need, and gives you experience of using industry standard software and technologies.

Information for international students

Please visit our website at https://www.shu.ac.uk/international

Fees and funding

UK students
£6,590
International students
£13,250

There is support available to help you afford tuition fees and living costs whilst your study at Hallam. Find out at https://www.shu.ac.uk/study-here/fees-and-funding.

Scholarships, discounts and bursaries may be available to international students who study this course. Visit https://www.shu.ac.uk/international/fees-scholarships-and-discounts to find out more.

Qualification and course duration

MSc

full time
12-18 months
part time
72 months

Course contact details

Name
Arts, Computing, Engineering and Sciences
Email
admissions@shu.ac.uk
Phone
+44 (0)114 225 5555