Queen's University Belfast

Data Analytics MSc

Queen's University BelfastBelfast, United Kingdom

Course 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. 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. Due to the popularity of this programme, applicants are advised to apply as early as possible, and ideally no later than 30th June for courses which commence in mid/late September. In the event that any programme receives a high number of applications, the University reserves the right to close the application portal.

Notifications to this effect will appear on the Direct Application Portal against the programme application page. Please note a deposit may be required to guarantee a place on this course. Due to high demand, applications may not be considered if the course has reached its maximum class size and will be placed on a waiting list.

Please see deposit terms and conditions for more details. PLEASE NOTE: This course requires applicants to have significant mathematical ability. Although there will be no requirement to take an aptitude test for this course, the link below will indicate the level of mathematical ability required for the course: https://www.admissionstesting.org/for-test-takers/test-of-mathematics-for-university-admission/preparation/

Key highlights

  • Blend of academic study and lab sessions
  • Heavy focus on practical engagement with industry
  • Significant industry-based project in the third semester
  • Covers computer science, mathematics, statistics, modelling and analytics
  • Develops skills to communicate findings that support decision-making
  • Six taught modules with blended and collaborative learning

Entry requirements

  • Degree: 2:1 — 2.1

Scholarships

  • International Postgraduate Taught Scholarship

    Year one award of between £2000 and £5000.

    Up to £2,000
  • The Burdett Trust MSc Nursing Scholarships

    For Home Students: Tuition fees £7,665 Stipend £10,250. For International Students: Tuition fees £24,295 Stipend £17,000

  • Vice Chancellor’s International Attainment Scholarship - Postgraduate Taught

    Value: 50% of tuition fees paid for up to a maximum of two years.

    Up to 50% of fees

Careers this course leads to

  • Data scientist
  • Data analyst
  • Business intelligence analyst
  • Healthcare data analyst
  • Financial data analyst
  • Customer behaviour analyst

Cost of study

UK/Home: £7,700 (NI/ROI), £10,400 (GB) | International: £27,600

Admission

Applications are made through AHZ at no cost. Share your transcripts, English test scores and personal statement, and your AHZ Counsellor will review your profile, submit your application to Queen's University Belfast, and guide you through interview, offer, CAS and visa — right up to enrolment.

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