MSc Accounting
The MSc Accounting at the University of Manchester, United Kingdom, is a specialized po...
MSc Data Science (Business and Management)
Manchester, England
INTAKE: Jan & Sept
Program Overview
The MSc Data Science (Business and Management) program at the University of Manchester is designed to equip students with the skills and knowledge necessary to utilize data science techniques within a business and management context. This program blends theoretical learning with practical application, allowing students to develop advanced data science capabilities while understanding their relevance to solving business challenges. The course is perfect for those looking to pursue careers in data-driven decision-making, business analytics, or management roles that require in-depth knowledge of data science. Students will gain expertise in machine learning, statistics, and data analytics, alongside an understanding of business operations and strategy.
Curriculum: The curriculum of the MSc Data Science (Business and Management) program is carefully crafted to balance the core principles of data science with the demands of the business world. Key modules include Data Science for Business, Statistical Inference and Modelling, Machine Learning for Business Applications, and Data Visualization and Communication. The program emphasizes practical skills, enabling students to work with real-world data, develop machine learning models, and make informed business decisions. Elective modules allow students to tailor their learning experience to areas such as Digital Marketing Analytics, Operations Research, and Financial Analytics. The curriculum is further enriched by a final project or dissertation, where students can apply their knowledge to tackle a business problem using data science techniques.
Research Focus: The MSc Data Science (Business and Management) program focuses on applying data science methodologies to address real-world business issues. Students will engage with research in areas such as predictive analytics, optimization, and decision modeling, with a focus on how these techniques can enhance business operations, improve strategic decision-making, and support innovation. The program encourages students to critically analyze business problems and use data science tools to provide solutions. The research is grounded in both academic theory and industry best practices, ensuring that students are prepared to make an immediate impact in the workplace. Additionally, students are encouraged to explore the latest trends in data science, such as big data, AI, and business intelligence.
Industry Engagement: Industry engagement is a key feature of the MSc Data Science (Business and Management) program at the University of Manchester. The program provides students with opportunities to interact with professionals in the field through guest lectures, industry case studies, and collaborative projects. The university’s strong ties with businesses, technology firms, and research institutions ensure that students gain insights into the practical applications of data science in the business world. Furthermore, students may have opportunities for internships or work placements, allowing them to apply their skills in real business environments. These engagements help students build professional networks and gain valuable hands-on experience that enhances their employability after graduation.
Global Perspective: The MSc Data Science (Business and Management) program at the University of Manchester is designed with a global perspective in mind. Data science is a field that transcends geographical borders, and students will be encouraged to explore global business challenges, such as international market analysis, cross-border data privacy regulations, and global supply chain optimization. The program attracts a diverse student body, bringing together perspectives from different parts of the world. This international atmosphere enhances learning and broadens students’ understanding of how data science can be applied in various cultural and business contexts. Additionally, the program is supported by global industry partners, ensuring that students are exposed to international best practices and cutting-edge trends in data science and business management.
Location
Manchester, England
Score
IELTS 7
Tuition Fee
£ 33500
Postgraduate Entry Requirements
Application fee: £60
Academic Qualifications: 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:
- IELTS: A minimum overall score of 7.0 with no individual component below 6.5.
- TOEFL: A minimum overall score of 100.
- PTE Academic: A minimum overall score of 76.
- Some postgraduate programs may have specific subject prerequisites or additional requirements.
The University of Manchester offers a range of scholarships to support international students in funding their education and making their academic journey more accessible. These scholarships are designed to reward academic excellence, support students from diverse backgrounds, and help ease the financial challenges of studying abroad.
Global Futures Scholarship: The Global Futures Scholarship is a prestigious award for international students who demonstrate academic excellence and potential. This scholarship offers a £5,000 contribution towards tuition fees, providing financial assistance for undergraduate and postgraduate students. This scholarship is open to students from specific countries and disciplines, so it is essential to check eligibility criteria and deadlines.
Manchester Master’s Bursary: The Manchester Master’s Bursary is a financial aid program aimed at helping postgraduate students who come from lower-income backgrounds. This bursary offers support for UK, EU, and international students who wish to pursue a master’s degree at the university. The bursary can cover a significant portion of tuition fees and is awarded based on financial need.
Subject-Specific Scholarships: Many departments at the University of Manchester offer subject-specific scholarships for students enrolling in their programs. For example, students applying for programs in engineering, business, life sciences, and the arts may be eligible for additional funding based on academic performance and their future potential. These scholarships are often offered to high-achieving students who demonstrate exceptional skills and dedication to their field of study.
Chevening Scholarships: The Chevening Scholarship is a fully-funded award provided by the UK government, open to outstanding international students from over 160 countries. The scholarship covers tuition fees, living costs, travel expenses, and other related costs. The University of Manchester is a proud participant in this global program and welcomes applications from students wishing to pursue a master's degree in a variety of disciplines.
Commonwealth Scholarships: The Commonwealth Scholarship Commission offers fully funded scholarships for international students from Commonwealth countries. These scholarships support students pursuing postgraduate studies in fields such as engineering, health sciences, and education. They cover the full cost of tuition fees, travel, and living expenses during the duration of the program.
Regional Scholarships: The university also offers regional scholarships for students from specific countries or regions, including Asia, Africa, Europe, and the Americas. These scholarships are designed to make studying at the University of Manchester more accessible to students from these regions and offer both partial and full financial support depending on the scholarship type.
Graduates of the MSc Data Science (Business and Management) program at the University of Manchester have a broad range of career opportunities available to them, given their strong foundation in both data science and business management. The skills gained in data analysis, machine learning, statistical modeling, and business strategy make them highly attractive to employers across various sectors.
Data Scientist: Graduates can work as data scientists, analyzing complex datasets to extract actionable insights and develop predictive models that inform business strategies. These roles are in high demand across industries such as finance, technology, retail, and healthcare.
Business Intelligence Analyst: With expertise in data visualization and reporting, graduates can take on roles as business intelligence analysts, helping organizations make data-driven decisions by presenting complex data in an understandable and actionable format.
Data Analyst: Many graduates pursue positions as data analysts, focusing on analyzing business data, identifying trends, and providing recommendations to improve business performance. This can include areas such as sales analysis, marketing analytics, and customer insights.
Machine Learning Engineer: Leveraging their machine learning skills, graduates can work as machine learning engineers, developing and deploying algorithms that automate processes, enhance business operations, and improve customer experiences.
Operations Research Analyst: Graduates can apply their skills in optimization and decision modeling to improve operational efficiency. They may work in logistics, supply chain management, or production planning.
Consultant: Graduates with an interest in advising organizations can work as consultants, helping businesses optimize their data strategies, implement data science solutions, and improve overall business operations.
Product Manager: With a solid understanding of both business and data science, graduates can take on roles in product management, where they oversee the development and launch of data-driven products and services.
