MSc Business Analytics

The MSc Business Analytics program at Queen's University Belfast -INTO is designed to provide students with the skills and knowledge necessary to analyze and interpret complex data sets, identify trends and patterns, and make informed business decisions. The program covers a wide range of topics including data mining, statistical modeling, data visualization, and business intelligence, all of which are critical in today's data-driven business environment. Students will learn from experienced faculty members and have access to state-of-the-art resources and facilities.

Additional Information

The program is designed for students who want to pursue a career in business analytics, consulting, or data science. It is ideal for those with a background in mathematics, statistics, computer science, or related fields. The program is also suitable for working professionals who want to enhance their skills and knowledge in the field of business analytics.

Discover the Power of Business Analytics at Queen's University Belfast -INTO

Queen's University Belfast -INTO is a premier institution for business analytics education, with a strong reputation for producing highly skilled graduates. The university has a diverse range of academic programs, including business, economics, and management, all of which are taught by experienced faculty members who are experts in their fields. The campus is located in the heart of Belfast, providing students with access to a vibrant city with a rich cultural heritage.

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.