BSc (Econ)(Hons) Economics, Finance and Management
Spanning three years, with options to extend to four or five years to include a year ab...
MSc Business Analytics
QMUL-Mile End London
INTAKE: September
Program Overview
Queen Mary University of London's MSc in Business Analytics is a comprehensive program designed to equip students with the skills and knowledge necessary to excel in the digital economy. The curriculum emphasizes the integration of data analysis techniques with management and leadership principles, preparing graduates to drive strategic decisions in various business sectors.
Curriculum: The program is jointly offered by the School of Business and Management and the School of Mathematical Sciences. It comprises six compulsory modules, three elective modules, and a compulsory group research project. Core modules include Data Analytics, Strategic Analysis, Leadership Skills for Business Analytics, Experiments for Business Analytics, Masterclass in Business Analytics, and Programming for Business Analytics. Elective modules cover topics such as SAS for Business Intelligence, Time Series Analysis for Business, Optimization for Business Processes, and Financial Data Analytics.
Research Focus: The program benefits from the expertise of the Department of Business Analytics and Applied Economics, which focuses on three key research areas: Applied Economics, Artificial Intelligence and Business Analytics, and Operations and Management Science. This research-led teaching approach ensures that the curriculum reflects the rapidly changing economic environment and the increasing digitalization of the global economy.
Industry Engagement: Queen Mary University maintains strong connections with industry leaders, including Citigroup, Nomura, Morgan Stanley, IBM, and HP. These partnerships facilitate guest lectures, collaborative projects, and potential summer placement opportunities, providing students with practical insights and experience in the field of business analytics.
Global Perspective: The program offers a global perspective by incorporating real-world cases from diverse markets and countries. Additionally, students have the opportunity to participate in exchange programs with partner universities worldwide, enhancing their international exposure and understanding of global business dynamics.
Location
QMUL-Mile End London
Score
IELTS: 6.5
Tuition Fee
£ 33500
Postgraduate Entry Requirements:
- Applicants should have successfully completed a bachelor's degree or its equivalent from a recognized institution with a minimum overall score of 60% or equivalent.
- English language proficiency is required, and applicants must provide evidence of their English language skills through an approved language test.
- IELTS: A minimum overall score of 6.5 with no individual component below 6.0.
- TOEFL: A minimum overall score of 92, with at least with at least 17 in Listening, 18 in Reading, 20 in Speaking, and 21 in Writing.
- PTE Academic: A minimum overall score of 71 with 65 in Writing, and 59 in Reading, Listening and Speaking..
- Some postgraduate programs may have specific subject prerequisites or additional requirements.
Students must provide:
- academic marksheets & transcripts
- letters of recommendation
- a personal statement - SOP
- passport
- other supporting documents as required by the university.
Work experience: Some postgraduate courses may require relevant work experience in the field.
It is important to note that meeting the minimum entry requirements does not guarantee admission, as the university considers factors such as availability of places and competition for the program. Additionally, some courses may have higher entry requirements or additional selection criteria, such as interviews or portfolio submissions.
Queen Mary University of London offers a range of scholarships and bursaries to its students.
Queen Mary Principal's Scholars Program: A scholarship program for undergraduate students who have an offer of admission from Queen Mary University of London and have achieved exceptional academic grades. The scholarship covers full tuition fees for three years of study, as well as a £2,000 annual stipend for living expenses.
Queen Mary International Excellence Scholarships: A scholarship program for international undergraduate and postgraduate students who have an offer of admission from Queen Mary University of London and have demonstrated academic excellence. The scholarship covers full tuition fees for one year of study.
Queen Mary Law Scholarships: A scholarship program for undergraduate and postgraduate law students who have an offer of admission from Queen Mary University of London and have demonstrated academic excellence. The scholarship covers full or partial tuition fees, depending on the level of academic achievement.
Queen Mary Engineering and Materials Science Scholarships: A scholarship program for undergraduate and postgraduate students studying engineering or materials science who have an offer of admission from Queen Mary University of London and have demonstrated academic excellence. The scholarship covers full or partial tuition fees, depending on the level of academic achievement.
The MSc Business Analytics program at Queen Mary University of London prepares students for a career in data-driven decision-making in a variety of industries.
Data Analyst: Graduates can work as data analysts for companies and organizations, helping them to collect, process, and analyze large amounts of data to identify trends and patterns.
Business Intelligence Analyst: Business intelligence analysts help organizations to make strategic decisions based on data analysis. They work with large data sets to identify business trends, customer preferences, and other key performance indicators.
Management Consultant: Management consultants help organizations to improve their performance by providing expert advice on strategy, operations, and management. Business analytics skills can be valuable in this field, as consultants use data analysis to identify areas for improvement.
Risk Analyst: Graduates can work as risk analysts for financial institutions, insurance companies, and other organizations that need to assess and manage risk. Risk analysts use data analysis to identify and evaluate potential risks, and to develop strategies to mitigate those risks.
Data Scientist: Data scientists work with large and complex data sets to identify trends and patterns, and to develop predictive models. They work in a variety of industries, including finance, healthcare, and technology.
Digital Marketer: Digital marketers use data analysis to develop and implement effective marketing campaigns. They use data to identify target audiences, track campaign performance, and optimize marketing strategies.
