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Overview
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.
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.
Industry Links
Special features of the course include the Analytics in Action module and the commitment of industry to provide real data for “Analytathons” and projects. The module offers real world examples of data analytics presented by the industry experts working alongside the academics who will provide the theory, and the unique provision of this course across many academic disciplines in the University.World Class Facilities
The Frontiers in Analytics module shows off some of latest state-of-the-art techniques analytics in particular in Visual Analytics and Behavioural Analytics.Student Experience
This Data Analytics programme at Queen's University Belfast is unique having been developed from engagement with industry rather than the traditional academic subject areas.
The key core skills that a data scientist needs have been clearly defined and forms the basis for the course. As a result, there are no optional modules or choice as it is essential that in order to produce the “all rounded” data scientist that all these skills are packaged into each individual.
Get more details
Visit official programme websiteProgramme Structure
Courses include:
- Data Analytics Fundamentals
- Databases and Programming Fundamentals
- Data Mining
- Machine Learning
- Frontiers in Data Analytics
- Analytics in Action
- Individual Industry Based Project
Key information
Duration
- Full-time
- 12 months
- Part-time
- 24 months
Start dates & application deadlines
- StartingApply anytime.
Language
English
TOEFL® IBT The TOEFL iBT® is given online through the internet at designated testing site. The test measures your English-language abilities in an academic setting. The score refers to the total score of 4 subjects (writing, listening, speaking, and reading), each subject has a range of 0 - 30. 80
IELTS The International English Language Test System (IELTS) tests your English-language proficiency on a scale of 1 – 9. The score refers to the combined average score of 4 subjects (writing, listening, speaking, and reading). 6
Credits
180 alternative credits
Delivered
On Campus
Disciplines
Statistics Data Science & Big Data View 125 other Masters in Statistics in United KingdomAcademic requirements
GPA Your GPA, or Grade Point Average, is a number that indicates how well or how high you scored in your courses on average. Usually a GPA scales between 1.0 and 4.0, however different countries and universities can have different grading systems. Lower Second Class
English requirements
TOEFL® IBT The TOEFL iBT® is given online through the internet at designated testing site. The test measures your English-language abilities in an academic setting. The score refers to the total score of 4 subjects (writing, listening, speaking, and reading), each subject has a range of 0 - 30. 80
IELTS The International English Language Test System (IELTS) tests your English-language proficiency on a scale of 1 – 9. The score refers to the combined average score of 4 subjects (writing, listening, speaking, and reading). 6
Other requirements
General requirements
- Normally a 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 Honours degree in a subject area not fulfilling the discipline criterion above require A Level Mathematics at grade B, or equivalent qualification acceptable to the University, and will be required to pass an aptitude test.
Tuition Fee
-
International
16900 GBP/yearTuition FeeBased on the original amount of 16900 GBP per year and a duration of 12 months. -
EU/EEA
6140 GBP/yearTuition FeeBased on the original amount of 6140 GBP per year and a duration of 12 months.
England, Scotland or Wales (GB) £6,900
Funding
Studyportals Tip: Students can search online for independent or external scholarships that can help fund their studies. Check the scholarships to see whether you are eligible to apply. Many scholarships are either merit-based or needs-based.
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Due for update
Updated over a year ago
Check the official programme website for potential updates.