| Program start date | Application deadline |
| 2023-09-19 | 2023-08-01 |
| 2024-01-09 | 2023-12-01 |
| 2024-09-01 | - |
Program Overview
The Business Analytics MSc program at Queen Mary University of London equips students with advanced skills in data management, statistical analysis, and machine learning. Through a combination of theoretical and practical teaching methods, students gain expertise in applying data analytics techniques to solve real-world business problems. The program prepares graduates for careers as Data Analysts, Data Scientists, and other data analytics roles in various industries.
Program Outline
Degree Overview:
Business Analytics MSc
This program is jointly run by the School of Business and Management and School of Mathematical Sciences. Students will have the opportunity to develop their mathematical and statistical knowledge, as well as gain practical experience using leading software tools.
Key features:
- Focuses on the practical application of data analytics in business
- Develops advanced skills in data management, statistical analysis, and machine learning
- Utilizes industry-leading software tools such as SAS and SPSS
- Includes a capstone project, where students will apply their skills to a real-world business problem
Program objectives:
- To provide students with a strong foundation in the theory and practice of data analytics
- To prepare students for careers in data analytics and related fields
Target audience:
- Individuals with a strong interest in data analytics and a desire to pursue a career in the field
- Graduates with a quantitative background who are looking to gain specialist skills in data analytics
Outline:
Program Structure:
The program is full-time, takes one year to complete, and is divided into two semesters. In the first semester, students will take four compulsory modules, while the second semester offers a choice of elective modules. Students will also complete a capstone project in the second semester.
Compulsory modules:
- Data Analytics
- Statistical Modelling
- Regression Analysis
- Machine Learning
Elective modules:
- Financial Data Analytics
- Time Series Analysis for Business
- Big Data and Analytics
- Complex Networks and Innovation
- Optimization for Business Processes
- Entrepreneurship for Digital Technologies
- Project Management
Capstone Project:
The capstone project is a significant piece of work that allows students to apply their skills and knowledge to a real-world business problem.
Assessment:
Assessment methods:
The program uses a variety of assessment methods, including:
- Examinations
- Coursework
- Presentations
- Capstone project
Assessment criteria:
The assessment criteria are designed to assess students' understanding of the material, their ability to apply their knowledge to real-world problems, and their communication skills.
Teaching:
Teaching methods:
The program is taught using a variety of teaching methods, including:
- Lectures
- Seminars
- Workshops
- Tutorials
Faculty:
The program is taught by a team of experienced academic staff with expertise in data analytics. The faculty includes Professor Georg von Graevenitz, Reader in Quantitative Methods; Dr Zeynep Gürgüç, Lecturer in Digital Economy; Dr Sebastian del Bano Rollin, Reader in Mathematics, Deputy Director of Education.
Unique approaches:
The program uses a combination of theoretical and practical teaching methods. Students are encouraged to apply their learning to real-world problems through coursework, projects, and case studies. The program also makes use of industry-leading software tools.
Careers:
Career paths:
Graduates of the program can pursue careers in a variety of data analytics roles, such as:
- Data Analyst
- Data Scientist
- Business Intelligence Analyst
- Quantitative Analyst
- Marketing Analyst
- Risk Analyst
Career opportunities:
The program provides graduates with the skills and knowledge they need to be successful in a variety of data analytics roles. Graduates are employed in a variety of industries, including:
- Financial services
- Consulting
- Technology
- Retail
- Healthcare
Graduate outcomes:
The program has a strong track record of graduate employment. Recent graduates have been employed by companies such as:
- Amazon
- McKinsey & Company
- Goldman Sachs
- JP Morgan
Other:
The program also offers students the opportunity to:
- Study abroad for a semester
- Participate in an internship
- Join the Business Analytics Society
- The program is accredited by the Association to Advance Collegiate Schools of Business (AACSB).
- The program is eligible for government funding.
- The program offers a range of scholarships and bursaries.
- The program has a strong alumni network.
Conclusion:
The Business Analytics MSc program at Queen Mary University of London provides students with the skills and knowledge they need to be successful in a variety of data analytics roles. The program is taught by a team of experienced academic staff with expertise in data analytics. The program uses a combination of theoretical and practical teaching methods, and students are encouraged to apply their learning to real-world problems through coursework, projects, and case studies. The program also makes use of industry-leading software tools. The program has a strong track record of graduate employment, and graduates are employed in a variety of industries.
Home: £20,850 Overseas: £31,850
Queen Mary University of London
Overview:
Queen Mary University of London is a public research university located in London, England. It is a member of the prestigious Russell Group of leading UK universities. Queen Mary is known for its strong research output, particularly in the fields of medicine, science, and humanities.
Services Offered:
Queen Mary offers a wide range of services to its students, including:
Accommodation:
Affordable accommodation options on or near the university's campuses in Mile End, Whitechapel, and Charterhouse Square.Careers and Enterprise:
Support for students in their career development, including job search assistance, internships, and networking opportunities.Library:
Extensive library resources, including books, journals, databases, and online resources.Student Life:
A vibrant student life with numerous clubs, societies, and events.International Student Support:
Dedicated support for international students, including visa advice, immigration guidance, and cultural integration programs.Student Life and Campus Experience:
Queen Mary provides a welcoming and inclusive environment for students from over 160 countries. Students can expect:
Global Community:
A diverse and international student body, fostering a rich cultural exchange.Campus Life:
A safe and secure campus environment with a range of facilities, including sports centers, cafes, and student spaces.London Advantage:
The opportunity to study in one of the world's most exciting and dynamic cities.Key Reasons to Study There:
Research Excellence:
Queen Mary is ranked highly for its research quality, offering students access to cutting-edge research and opportunities to work alongside leading academics.Diverse Academic Programs:
A wide range of undergraduate and postgraduate programs across various disciplines, including medicine, science, engineering, humanities, and social sciences.Global Reputation:
Queen Mary's strong reputation as a leading university attracts students and employers worldwide.London Location:
The university's location in London provides students with access to world-class cultural attractions, museums, theaters, and employment opportunities.Academic Programs:
Queen Mary offers a comprehensive range of academic programs, including:
Undergraduate Programs:
A wide variety of undergraduate degrees across various disciplines.Postgraduate Programs:
Taught and research postgraduate programs, including Master's degrees and PhDs.Online Programs:
Flexible online learning options for students who prefer distance learning.Other:
- Queen Mary is committed to sustainability and has implemented various initiatives to reduce its environmental impact.
- The university has a strong focus on equality, diversity, and inclusion, creating a welcoming and supportive environment for all students.
- Queen Mary has a rich history and is associated with several notable alumni, including Nobel laureates and prominent figures in various fields.
Entry Requirements
UK
- provided
- Other routes; Candidates that do not currently meet the set entry requirements may also have the option to study the Graduate Diploma in Finance and Economics.
- Students from less quantitatively oriented degrees, such as Accounting, Management and Politics, are welcome if they have focused on the more quantitative elements of those degrees.
- The university also considers applicants that do not currently meet the set entry requirements may also have the option to study the Graduate Diploma in Finance and Economics.
English Language Requirements
For candidates with a degree from a non-English speaking country, the following minimum English language requirements are necessary for entry: | Examining body | IELTS | TOEFL | PTE Academic | Trinity ISE | C2 Cambridge English: Proficiency (CPE) | C1 Cambridge English: Advanced (CAE) | |---|---|---|---|---|---|---| | Requirement | 7.0 overall including 6.0 in Writing, and 6.0 in Reading, Listening and Speaking. MSc Management with Integrated Pre-Masters requires 5.5 overall including 5.5 in Reading, Writing, Listening and Speaking. | 100 overall including 21 in Writing, 19 in Reading, 18 in Listening and 21 in Speaking. MSc Management with Integrated Pre-Masters requires 72 overall including 17 in Writing and Listening, 18 in Reading, and 20 in Speaking. | 76 overall including 65 in Writing, and 65 in Reading, Listening and Speaking. MSc Management with Integrated Pre-Masters requires 59 overall including 59 in Writing, Reading, Listening and Speaking. | Trinity College London, Integrated Skills in English (ISE) III with Merit in Writing, Reading, Listening and Speaking. MSc Management with Integrated Pre-Masters requires Trinity ISE II with Pass in Writing, Reading, Listening and Speaking. | 185 overall including 169 in Writing, Reading, Listening and Speaking. MSc Management with Integrated Pre-Masters requires 162 overall including 162 in Writing, Reading, Listening and Speaking. | 185 overall including 169 in Writing, Reading, Listening and Speaking. MSc Management with Integrated Pre-Masters requires 162 overall including 162 in Writing, Reading, Listening and Speaking. |
