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.
Business Analytics highlights
•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 for data scientists. Students will learn to use cutting edge and industry standard tools and techniques to enable career development.
World Class Facilities
•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.
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.