MScBusiness Analytics
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, 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 intensive 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.
- Entry requirements
- 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.
- English language requirements
- An IELTS* score of 6.5 with a minimum of 5.5 in each test component. *Taken within the last 2 years.
- Tuition fees
- £25,800 / ¥232,200
Course Content
- Data Management (15 credits)
- Human Resources Analytics BA (15 credits)
- Advanced Analytics & Machine Learning (15 credits)
- Data Driven Decision Making (15 credits)
- MSc Business Analytics Dissertation Portfolio (60 credits)
- Data Mining (15 credits)
- Artificial Intelligence in Business and Society (15 credits)
- Statistics for Business (15 credits)
- Marketing Analytics (15 credits)
- Dissertation MSc Business Analytics (60 credits)
Related courses
- International Business
- 1 year
Applications open
Why Queen's
Industry Links
Developed by staff with industry and academic backgrounds, the course is tailored towards the key skills required to succeed in a business analytics role.
Career Development
Industry reports show a global shortage for data scientists. Students will learn to use cutting edge and industry standard tools and techniques to enable career development.
World-class Facilities
Queen’s Business School (QBS) has recently undergone an innovative expansion that establishes a benchmark of global excellence for one of the top business schools in the UK and Ireland. A stunning new 6,000 square metre building, adjacent to the listed red-brick Riddel Hall has been designed with the latest digital infrastructure for media lecture capture, TED Talk provision and collaborative breakout sessions.
Student Experience
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.
Careers
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. The programme is aimed at graduates from a range of backgrounds, particularly students who have taken undergraduate degrees in areas from outside maths and computer science domains. Those with undergraduate degrees stemming from a diversity of backgrounds are welcomed. This could include areas such as business and management, accounting, finance, social sciences, psychology, and geography.
“The MSc Business Analytics programme is for graduates who want to work at the cutting-edge of the industry. Developed to bridge analytics and business, the course covers the most up to-date core business and analytics topics. Students graduate with technical, statistical and business skills to succeed as an analytics professional.” Dr Byron Graham, Programme Director