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. MSc Business Analytics has been developed to meet the demand for qualified professionals, who possess the necessary expertise to realise end-to-end business analytics solutions and are equipped to utilise data for business decision-making purposes.
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.
Developed by staff with industry and academic backgrounds, the course is tailored towards the key skills required to succeed in a business analytics role.
Industry reports show a global shortage of data scientists. Students will learn to use cutting edge and industry-standard tools and techniques to enable career development.
The MSc Business Analytics is taught in the landscaped setting of Riddell Hall which features excellent facilities, including a dedicated computer lab with the latest analytics software.
Students will learn how to use state-of-the-art, industry-standard software over the duration of the programme. This includes software such as R, SAS, KNIME, and Tableau.
With the explosion of information and the global shortage in analytics professionals with the skills needed to turn data into business value, the MSc Business Analytics programme is aimed at graduates who aspire to work in this cutting edge industry. The course has been developed to bridge the gap between analytics and business and includes the latest topics from across core business and analytics areas. Students who successfully complete the programme will graduate with the technical, statistical, and business skills needed to succeed as an analytics professional.
Dr Byron Graham, Programme Director
Statistics for Business
Advanced Analytics and Machine Learning
Data-Driven Decision Making
Artificial Intelligence in Business and Society
The MSc Business Analytics 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
Learning and teaching methods include a mix of computer lab-based sessions and lectures.
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.
Assessments associated with the course are outlined below:
Assessments will focus on both theory and practical application of business analytics, including the use of data to gain business insights, the development of analytics solutions, essays and group work. It is anticipated that students will have approximately 30 hours of direct academic contact time (drawing on methods outlined above) per module. In addition to the direct teaching hours per module, each student will normally be expected to spend approximately 120 hours on individual study time plus time for assessment completion, per module.
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.
*This could be a course or module in an area such as Finance, Mathematics, Statistics, Economics, or Physics.
For information on international qualification equivalents, please check the specific information for your country.
English Language Requirements
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 the English language for visa purposes.
For more information on English Language requirements for EEA and non-EEA nationals see: www.qub.ac.uk/EnglishLanguageReqs.
If you need to improve your English language skills before you enter this degree programme, INTO Queen's University Belfast offers a range of English language courses. These intensive and flexible courses are designed to improve your English ability for admission to this degree.
As a result of the COVID-19 pandemic, we will be offering Academic English and Pre-sessional courses online only from June to September 2020.
Academic English: an intensive English language and study skills course for successful university study at degree level
Pre-sessional English: a short intensive academic English course for students starting a degree programme at Queen's University Belfast and who need to improve their English.
Northern Ireland (NI)
England, Scotland or Wales (GB)
Other (non-UK) EU
All tuition fees quoted are for the academic year 2020-21. Tuition fees will be subject to an annual inflationary increase unless explicitly stated otherwise.
Additional course costs
Depending on the programme of study, there may be extra costs which are not covered by tuition fees, which students will need to consider when planning their studies.
Students can borrow books and access online learning resources from any Queen's library. If students wish to purchase recommended texts, rather than borrow them from the University Library, prices per text can range from £30 to £100. Students should also budget between £30 to £75 per year for photocopying, memory sticks and printing charges.
Students undertaking a period of work placement or study abroad, as either a compulsory or optional part of their programme, should be aware that they will have to fund additional travel and living costs.
If a programme includes a major project or dissertation, there may be costs associated with transport, accommodation and/or materials. The amount will depend on the project chosen. There may also be additional costs for printing and binding.
Students may wish to consider purchasing an electronic device; costs will vary depending on the specification of the model chosen.
There are also additional charges for graduation ceremonies, examination resits and library fines.
Business Analytics costs
There are no specific additional course costs associated with this programme.
How do I fund my study?
The Department for the Economy will provide a tuition fee loan of up to £5,500 per NI / EU student for postgraduate study.
A postgraduate loans system in the UK offers government-backed student loans of up to £10,609 for taught and research Masters courses in all subject areas. Criteria, eligibility, repayment and application information are available on the UK government website.