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. PLEASE NOTE: You may be required to sit an online aptitude test. The test has been created by the MSc Data Analytics lecturers, and is based on the Cambridge Assessment TMUA; you can find more information on the TMUA, as well as practice papers should you wish to try them, here: https://www.admissionstesting.org/for-test-takers/test-of-mathematics-for-university-admission/preparation/ Aptitude Tests will be held on the dates below 3-4pm (GMT) for 24/25. 10 October 2024 7 November 5 December 9 & 23 January 2025 6 & 20 February 6 & 20 March 10 April 1 & 15 & 29 May 12 & 26 June **Applicants must attend their allocated session as notified by the school. Please ensure that you check your junk email folders regularly for communications from the School regarding your application/aptitude test. Additional aptitude tests may be scheduled if required. In addition, a deposit will be required to secure a place. Please see below the deposit deadline schedule: 1. Offer received by 31 December 2023 deposit deadline 31 January 2024 2. Offer received by 31 January 2024 deposit deadline 28 February 2024 3. Offer received by 28 February 2024 deposit deadline 31 March 2024 4. Offer received by 31 March 2024 deposit deadline 30 April 2024
Modules
For more information please see http://www.qub.ac.uk/courses/postgraduate-taught/data-analytics-msc
Assessment method
Assessments associated with the course are outlined below: Coursework Written examination Project dissertation Presentations
How to apply
International applicants
Evidence of an IELTS* score of 6.5, with not less than 5.5 in any component, or an equivalent qualification acceptable to the University is required. *taken within the last 2 years International students wishing to apply to Queen's University Belfast (and for whom English is not their first language), must be able to demonstrate their proficiency in English in order to benefit fully from their course of study or research. Non-EEA nationals must also satisfy UK Visas and Immigration (UKVI) immigration requirements for English language for visa purposes. For more information on English Language requirements for EEA and non-EEA nationals see: www.qub.ac.uk/EnglishLanguageReqs.
Entry requirements
Normally a 2.1 Honours 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 cognate discipline, a 2.1 Honours degree in a non-cognate discipline, or who have not yet completed their degree, will be required to pass an aptitude test.
Fees and funding
Tuition fees
| Northern Ireland | £8800 | Year 1 |
| Republic of Ireland | £8800 | Year 1 |
| England | £9250 | Year 1 |
| Scotland | £9250 | Year 1 |
| Wales | £9250 | Year 1 |
| EU | £25800 | Year 1 |
| International | £25800 | Year 1 |
Tuition fee status depends on a number of criteria and varies according to where in the UK you will study. For further guidance on the criteria for home or overseas tuition fees, please refer to the UKCISA website .
Additional fee information
For tuition fee information relating to this course please see the University's Postgraduate Tuition Fee website - http://www.qub.ac.uk/Study/PostgraduateStudy/TuitionFees.
Sponsorship information
For more information on funding and scholarships for Postgraduate study, please see http://www.qub.ac.uk/Study/PostgraduateStudy/FundingandScholarships/
Provider information
Queen's University Belfast
University Road
Belfast
BT7 1NN