Taught course

Knowledge Discovery and Data Mining

Institution
University of East Anglia · School of Computing Sciences
Qualifications
MScMScMSc

Entry requirements

Open to students with a good first degree (min 2.1 or equivalent) in Computing, Mathematics or a related subject. Equivalent qualifications and experience will also be considered. Students with limited computing experience may be required to undertake a pre-sessional course.

Months of entry

September

Course content

Study:

The world requires a new generation of analysts. All organisations depend on high quality information when making their strategic decisions, and most of that information comes from mountains of raw data generated from the organisation’s computerised operational systems. This MSc programme addresses the training needed in this area by professionally preparing you to analyse important data and spot business critical patterns and trends.

Structure:

Through this course, you will understand techniques and methods required for effective and efficient data analysis, through a comprehensive study of the role of data in modern business, its collection, storage, maintenance and access. You will undertake a mix of specialised modules that supply you with the techniques and commercial tools needed for knowledge discovery and data mining. Choose from a number of faculty-suggested dissertation topics or formulate your own project proposal. Some project work with companies could involve paid placement.

Teaching:

The School of Computing Science at UEA maintains close ties with industry professionals, with many of the student assignments directly seeking solutions to real world problems. The School utilises its internationally recognised research commercially, and graduates of this course often use taught technical and entrepreneurial skills to fulfil influential roles within the local and international community.

Employability:

Graduates of this course will be prepared for a career in data analysis. This area of study also offers tremendous application potential in areas such as finance, medicine, biology and the environment. There is also the opportunity to pursue a research degree in Knowledge Discovery and Data Mining.

Information for international students

We welcome applications from students whose first language is not English. To ensure such students benefit from postgraduate study, we require evidence of proficiency in English. Our usual entry requirements are as follows: IELTS: 6.5 (minimum 6.0 in all components); PTE (Pearson): 62 (minimum 55 in all components).

Fees and funding

Faculty of Science Scholarships & Bursaries

On an annual basis students studying a Postgraduate course in the Faculty of Science at UEA are eligible for a selection of scholarship and funding opportunities.

Faculty of Science scholarships and/or bursaries are offered to eligible students studying in the following subject areas:

  • Biological Sciences
  • Chemistry
  • Computing Sciences
  • Engineering
  • Environmental Sciences
  • Mathematics
  • Pharmacy

Any eligible applicant is invited to apply for a scholarship. As funds are limited you are strongly advised to apply early to avoid disappointment.

Applicants should contact the Postgraduate Admissions Office or visit the UEA website for further information on funding.

Qualification and course duration

MSc

full time
12 months

MSc

part time
24 months

MSc

part time
36 months

Course contact details

Name
Postgraduate Admissions Office
Email
admissions@uea.ac.uk
Phone
+44 (0)1603 591515