Key information
Source: HOTCOURSES, January 2017.

DATA SOURCE : HOTCOURSES

Qualification type

MSc - Master of Science

Subject areas

Data Analysis Database Management

Course type

Taught

Course summary
Source: HOTCOURSES, January 2017.

This course is designed to provide students with in-depth knowledge of the new field of Big Data Analytics from a computing perspective. Data is being generated on an exponential scale by individuals and organisations. The programme will enable students to develop practical skills, using tools and techniques from the forefront of business computing, and use these effectively to conduct Big Data Analytics. It also seeks to promote an awareness of the moral, ethical and professional framework, within which the students will operate as an IT professional in a business environment.

Different course options
Source: HOTCOURSES, January 2017.

Full time | City Centre Campuses | 1 year | SEP-17

Study mode

Full time

Duration

1 year

Start date

SEP-17

Modules
These are the sub-topics that you will study as part of this course.

Source: HOTCOURSES, January 2017.

Master's Project (60 Credits)

The Project will allow students to demonstrate the ability to apply their skills and knowledge to the solution of a practical problem or to an investigation into a research topic appropriate to the rationale of the course.

Tuition fees
Source: HOTCOURSES, January 2017.

UK fees
Course fees for UK / EU students

For this course (per year)

£7,500

Average for all Postgrad courses (per year)

£5,202

International fees
Course fees for non-UK / EU students

For this course

£12,000

Average for all Postgrad courses (per year)

£12,227

Entry requirements
Source: HOTCOURSES, January 2017.

Applicants are normally expected to hold at least a 2nd Class Honours degree or equivalent in an appropriate discipline. However, we can also consider applications without standard entry qualifications if applicants can provide evidence of the necessary knowledge and skills to successfully complete the course.

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