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Key information
DATA SOURCE : IDP Connect

Qualification type

MSc - Master of Science

Subject areas

Data Analysis

Course type

Taught

Course Summary

Data Analytics is an exciting field of rapid developments. Data is everywhere and continuing to grow massively, creating huge growth in demand for qualified experts to be able to extract the real benefit from the data. The role of a data scientist is highly diverse overlapping many areas from computer science, to the fundamentals of mathematics, statistics, modelling and analytics while also requiring the right skills to be able to see the detail, solve the problem (having specified the problem!), and communicate effectively the findings to colleagues to empower them to make decisions. The diversity of data analytics opens up many job opportunities from working in software companies, healthcare, banking, insurance, policing, tech companies to applying your knowledge to intelligent buildings and behaviour analytics of customers. The programme provides a balanced route to learning through a blend of academic study and lab sessions, with a heavy focus on practical engagement with industry. In the first and second semesters, you will study 6 modules full-time which include opportunities for blended and collaborative learning. In the third semester you will undertake a significant industry based project.

The course is designed to meet the needs of Industry where graduates have the right combination of the skills and expertise in both computer science, mathematics and statistics along with the experience they gain in their individual industry based project to be highly sought after for employment. Queen's postgraduates reap exceptional benefits. Unique initiatives, such as the leadership and executive programmes alongside sterling integration with business experts helps our students gain key leadership positions both nationally and internationally.

Different course options

Study mode

Full time

Duration

1 year

Start date

SEP-19

Modules

Databases and Programming Fundamentals
Data Mining
Machine Learning
Data Analytics Fundamentals
Frontiers in Data Analytics
Individual Industry Based Project
Analytics in Action

Tuition fees

UK fees
Course fees for UK / EU students

For this course (per year)

£5,900

Average for all Postgrad courses (per year)

£5,202

International fees
Course fees for non-UK / EU students

For this course (per year)

£16,400

Average for all Postgrad courses (per year)

£12,227

Entry requirements

Applicants normally need to have 2.2 Honours first degree in Mathematics, Statistics, or Computer Science or a closely related discipline, or equivalent qualification acceptable to the University. Applicants with a minimum 2.2 B.Sc. Honours degree in a subject area not fulfilling the discipline criterion above require Mathematics A-level at grade B, or equivalent qualification acceptable to the University, and will be required to pass an aptitude test.

Department profile

A warm Belfast welcome to the Faculty of Engineering and Physical Sciences at Queen's University! Our Faculty of Engineering and Physical Sciences spans disciplines that impact on lives today and will shape our future. With strength in traditional engineering disciplines, the Faculty - through its seven individual Schools - brings together diverse topics, such as carbon-dating and astrophysics, to create a dynamic multidisciplinary setting...more