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Data Science

?The MSc in Data Science aims to provide a high quality and professionally relevant postgraduate programme, developing in students a critical appreciation of data science and the use of software to analyse and synthesise data.

Graduates will be equipped with the necessary skills and knowledge to develop high quality systems and to manage all aspects of data science, thus enabling a student to enhance their existing skills in anticipation of meeting the increasing commercial demand in this area.

The encouragement of students to function as autonomous learners should result in graduates who will have developed the foundations for future and continuing professional development.?

Entry requirements

Applicants should meet one of the following: Possess, or expect to obtain, an undergraduate degree or equivalent, in a relevant area with a minimum of a 2:2 classification; Hold a suitable professional qualification from an appropriate professional body. International Students: Students whose first language is NOT English will need to provide evidence of fluency to at least an IELTS 6.0 standard.?
Applicants should meet one of the following: Possess, or expect to obtain, an undergraduate degree or equivalent, in a relevant area with a minimum of a 2:2 classification;
Hold a suitable professional qualification from an appropriate professional body.
International Students:
Students whose first language is NOT English will need to provide evidence of fluency to at least an IELTS 6.0 standard.?

Course modules

The following modules will be studied on the programme and are all compulsory to gain the MSc in Data Science:

Technology Project Management (20 credits);
Information Security and Document Management (20 credits);
Research Methods for Technology Dissertations (20 credits); Technology Dissertation (40 credits); Business Analysis (20 credits); Social Computing (20 credits); Geospatial Analysis (20 credits); Programming for Data Analysis (20 credits);
There are three exit points from the degree:

Postgraduate Certificate in Higher Education (PgCert) after successful completion of three modules.

Postgraduate Diploma in Higher Education (PgDip) awarded completion of 120 credits

The MSc is awarded on successful completion of all taught elements as well as submission of a 12,000 word dissertation project.
The following modules will be studied on the programme and are all compulsory to gain the MSc in Data Science: Technology Project Management (20 credits); Information Security and Document Management (20 credits); Research Methods for Technology Dissertations (20 credits); Technology Dissertation (40 credits); Business Analysis (20 credits); Social Computing (20 credits); Geospatial Analysis (20 credits); Programming for Data Analysis (20 credits); There are three exit points from the degree: Postgraduate Certificate in Higher Education (PgCert) after successful completion of three modules. Postgraduate Diploma in Higher Education (PgDip) awarded completion of 120 credits The MSc is awarded on successful completion of all taught elements as well as submission of a 12,000 word dissertation project.

Assessment methods

Assessments take the form of examinations (seen/unseen, open book, essays/short answers), essays, practical assessments, presentations, role-plays, individual and group reports, and a dissertation or a developmental project.

Qualifications

Qualification Study mode Start month Fee Fee locale Course duration
MSc Full-time September 2017 9,000 (Whole course) Home/EU 1 1 Years
MSc Part-time September 2017 9,000 (Whole course) Home/EU 2 2 Years
Postgraduate Certificate - PgCert Full-time September 2017 9,000 (Whole course) Home/EU 1 1 Years
Postgraduate Diploma - PgDip Full-time September 2017 9,000 (Whole course) Home/EU 1 1 Years
Postgraduate Diploma - PgDip Part-time September 2017 9,000 (Whole course) Home/EU 2 2 Years
Postgraduate Certificate - PgCert Part-time September 2017 9,000 (Whole course) Home/EU 2 2 Years

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