The increase in the volume, variety, and velocity of data creates opportunities for businesses to improve decision making and develop new data driven products and services.
The programme is built around the three core areas needed to succeed in analytics: business knowledge, statistics, and computing.
This includes modules focusing on the application of analytics in core business functions such as marketing and human resources, as well as modules focusing on developing and applying technical skills such as advanced analytics and machine learning, data management, and data driven decision making.
In total, students will study eight modules in addition to pre-course training and a final dissertation project. The dissertation project will involve the application of the business, technical, and statistical skills learnt during the taught modules.
The programme will include an induction course, where pre-course training in key statistics and computer skills will ensure students from a range of backgrounds have the necessary skills to undertake the course.
The Business Analytics programme at Queen's University Belfast will appeal to students who intend to pursue a career in a business analytics related field, such as data science, business intelligence, consultancy, informatics, or decision intelligence
Learning and Teaching
Tools and techniques learned in the classroom context will be used to address business problems. This will involve a mix of teaching methods to enable students to build the technical and business expertise required for a successful career in analytics. This includes methods such as computer/software practical demonstrations and training, lectures, tutorials, seminars, problem-centred techniques such as national and international case studies, non-book media (videos and podcasts), individual research, oral presentations, group projects, online discussion forums, industry visits and practitioner workshops. Specific details are provided in the programme specification, including details on assessments.
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- Statistics for Business
- Data Management
- HR Analytics
- Operations Management
- Advanced Analytics and Machine Learning
- Data Driven Decision Making
- Artificial Intelligence in Business and Society
- Marketing Analytics
Check out the full curriculumVisit official programme website
- 12 months
Start dates & application deadlines
- StartingApply anytime.
- StartingApply anytime.
- We advise you to apply as early as possible, particularly for those courses where there is a high demand for places.
DisciplinesBusiness Intelligence & Analytics Data Science & Big Data Machine Learning View 416 other Masters in Data Science & Big Data in United Kingdom
Explore more key informationVisit official programme website
- Normally a 2.1 Honours degree or equivalent qualification acceptable to the University in any discipline to include one module in a quantitative area*. Relevant employment experience in a quantitative area may be considered in lieu of a module in a quantitative area and will be considered on a case-by-case basis.
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International20500 GBP/yearTuition FeeBased on the tuition of 20500 GBP per year during 12 months.
National7250 GBP/yearTuition FeeBased on the tuition of 7250 GBP per year during 12 months.
- Northern Ireland (NI) £7,250
- Republic of Ireland (ROI) £7,250
- England, Scotland or Wales (GB £7,250
- EU Other £20,500
- International £20,500
Living costs for Belfast
The living costs include the total expenses per month, covering accommodation, public transportation, utilities (electricity, internet), books and groceries.
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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Apply and win up to €10000 to cover your tuition fees.