商业分析理学硕士

商业分析理学硕士课程将帮助您在数据驱动型业务中产生并获得更大的竞争力。我们的业务分析计划旨在为那些将确定组织内部数据分析研究的范围和方向并将研究结果传达给最终决策者的人提供基础。商业分析硕士课程的主要目的是培养一套全面的技能，并鼓励对成为成功的业务分析师至关重要的积极属性。硕士学位不仅致力于传授专业技能，而且致力于发展所谓的软技能，这对于影响人和组织非常重要。除了获得有效和有说服力的沟通技巧外，您还将学习与道德相关的问题，这是负责任的领导力的另一个关键要素。
Choose the MSc Business Analytics programme to support your career progression if your aim is to generate and capture greater competitiveness in data-driven business. Youll appreciate our technology-aided learning-by-doing teaching style, academic rigour and authentic experiential learning. You dont need previous experience of analytics skills, or the technology enablers needed to deploy them. Instead, you can join our pre-courses which equip you with the minimum knowledge, such as Python and R Programming, before you start your one year MSc Business Analytics Programme. Youre likely to already have at least an upper second class degree, or the equivalent, in a subject that includes quantitative topics, such as accounting, biology, business administration/studies, computer science, economics, engineering, environmental studies, finance, hospitality management, human resources, information systems/technology, management, marketing, mathematics or psychology.<br>In our Master's in Business Analytics programme youll develop a comprehensive set of contemporary skills and nurture the positive attributes essential to becoming a successful business analyst. Youll learn the specialist and technical skills, data science, data analytics and technology skills , and soft skills that are important for influencing people and leading organisations. Youll benefit from the distinctive experiential learning element of your business analytics MSc. Every student is encouraged to engage with industry sponsored projects which ensures that dissertation projects are matched to your skills and interests, and provide you with hands-on real-life work experience. Recent students have chosen projects offered by analytics consulting firms, finance and insurance companies and well-known retailers, including Bank of England, Ekimetrics, Fiat Chrysler Automobiles, Government Actuary's Department, Maserati, Rolls-Royce and Vodafone UK.