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Key information
Source: HOTCOURSES, May 2016.


Qualification type

MSc - Master of Science

Subject areas

Data Analysis

Course type


Course summary
Source: HOTCOURSES, May 2016.

This course will equip students with the theoretical, technical and practical data analytics competencies required in an area of economic growth. The course curriculum content has been developed with direct input from industry experts and utilises specialist software tools and techniques. Students’ experience of the course will be enriched with exposure to real life business case scenarios brought to them by skilled professionals in industry. The specialist nature of the course will allow students to explore and experience advanced techniques in data science. Students will acquire practical skills, often first-hand from an external practitioners, preparing them for employment as data analysts. Students will also be trained in the use of software tools and environments currently used by the industry sector. On completion of the course graduates will be well equipped to work in some of the fastest growing sectors of the data science and big data industries. The course offers wide-ranging career opportunities in the commercial industry, public and financial services, especially in areas requiring big data analysis such as consumer, healthcare, scientific, financial, security intelligence, business and social sciences. The course also provides an excellent basis for further study for those wishing to pursue a higher-level research degree or embark on an industry-based research career.

Different course options
Source: HOTCOURSES, May 2016.

Full time | Holloway | 12 months | JAN

Study mode

Full time


12 months

Start date


Tuition fees
Source: HOTCOURSES, May 2016.

UK fees
Course fees for UK / EU students

For this course (per year)


Average for all Postgrad courses (per year)


International fees
Course fees for non-UK / EU students

For this course


Average for all Postgrad courses (per year)


Entry requirements
Source: HOTCOURSES, May 2016.

Students will be required to have: a UK degree or equivalent in any discipline that involves an element of data analysis. Applicants with relevant professional experience will also be considered.

University Information

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