MSc Accounting
The MSc Accounting at the University of Manchester, United Kingdom, is a specialized po...
MSc Data Science (Social Analytics)
Manchester, England
INTAKE: Jan & Sept
Program Overview
The MSc Data Science (Social Analytics) program at the University of Manchester is designed for students who are interested in the intersection of data science and social science. This program equips students with the knowledge and skills to analyze and interpret large-scale social data, leveraging techniques in machine learning, statistical analysis, and computational modeling to understand social behaviors, trends, and dynamics. With its focus on social media, surveys, and online platforms, graduates of this program are prepared to tackle challenges in sectors such as marketing, public policy, healthcare, and digital communication, where data-driven insights are essential for informed decision-making.
Curriculum: The curriculum of the MSc Data Science (Social Analytics) program is comprehensive and tailored to provide students with both theoretical knowledge and practical experience in handling social data. Core modules include Foundations of Data Science, Social Media Analytics, Statistical Methods for Social Sciences, Big Data Technologies, and Machine Learning for Social Data. Students learn how to collect, analyze, and interpret social data from various sources such as online platforms, surveys, and social networks. The program also includes electives that allow students to specialize in areas like Social Network Analysis, Text Mining, and Digital Marketing Analytics. The capstone project, typically involving real-world data from industry partners, gives students the opportunity to apply their learning to solve practical problems in social analytics.
Research Focus: The research focus of the MSc Data Science (Social Analytics) program centers around exploring and understanding the patterns and behaviors that emerge from social data. Students are encouraged to engage in research that applies data science techniques to social sciences, focusing on areas such as social influence, online communities, consumer behavior, and political sentiment analysis. Research projects may involve analyzing social media conversations, understanding the spread of misinformation, or investigating the role of social networks in public opinion formation. The program’s research output contributes to advancing the academic understanding of social phenomena and the development of innovative data science techniques for social data analysis.
Industry Engagement: Industry engagement is a key feature of the MSc Data Science (Social Analytics) program, as students are provided with opportunities to work on real-world problems in collaboration with industry partners. The University of Manchester’s strong links with organizations in sectors such as digital marketing, media, public policy, and social research ensure that students have access to the latest industry trends and challenges. Students can undertake internships, participate in collaborative research projects, and attend networking events with professionals from the field. These experiences not only provide practical insights into the application of social analytics but also help students build valuable industry connections that can be crucial for their future careers.
Global Perspective: The MSc Data Science (Social Analytics) program adopts a global perspective by incorporating international case studies, cross-cultural social data analysis, and global trends in social behavior. The program prepares students to understand social phenomena on a global scale, allowing them to examine how cultural, economic, and political contexts influence social media, communication, and consumer behavior across different regions. The diverse student body at the University of Manchester enriches this global perspective, as students from different backgrounds bring unique insights into the analysis of social data. This international outlook ensures that graduates are well-prepared to address social analytics challenges in a variety of global contexts, making them highly competitive in the global job market.
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 (Social Analytics) program at the University of Manchester are well-prepared for diverse career opportunities in the rapidly growing field of social analytics. With a combination of advanced data science skills and an understanding of social behavior, graduates are in high demand across multiple industries.
Social Data Scientist: As a social data scientist, graduates apply advanced data science techniques to analyze and interpret large-scale social data. This role involves working with data from social media platforms, online surveys, and other digital sources to uncover patterns in consumer behavior, public opinion, and social trends. Social data scientists often work in sectors such as marketing, digital advertising, and public relations.
Social Media Analyst: Graduates can become social media analysts, focusing on the analysis of social media platforms to identify trends, sentiment, and engagement patterns. They use data analytics tools to track online conversations, monitor brand health, and provide actionable insights for marketing campaigns. This role is particularly important in industries like marketing, entertainment, and digital communications.
Data Analyst (Social Research): Graduates can work as data analysts specializing in social research. They analyze social data to inform policies, public opinion, and societal issues. These professionals often work in government, think tanks, non-profit organizations, or social research agencies, providing insights that can influence social policy and community development programs.
Digital Marketing Analyst: In digital marketing, graduates can apply their expertise to analyze consumer behavior, optimize marketing strategies, and improve customer targeting. By leveraging social data, they help businesses better understand their audience and design campaigns that drive engagement and conversion rates. Digital marketing analysts play a key role in industries like e-commerce, advertising, and brand management.
Public Policy Analyst: Graduates with a keen interest in public policy can become public policy analysts, utilizing social analytics to inform government decision-making. By analyzing social data, they help policymakers understand public opinion, track the effectiveness of social programs, and predict societal trends. This career is highly relevant to sectors like public administration, NGOs, and political consulting.
Consumer Insights Analyst: Graduates can pursue careers as consumer insights analysts, where they use social data to provide valuable insights into consumer preferences, habits, and attitudes. By understanding consumer behavior through the lens of social analytics, these professionals help businesses develop products and services that meet customer demands.
Business Intelligence Analyst: With expertise in social data, graduates can work as business intelligence analysts, using their analytical skills to assess trends in social media, customer feedback, and market dynamics. These insights help companies improve decision-making processes, enhance customer experience, and stay competitive in the market.
Machine Learning Engineer (Social Analytics): Graduates can specialize in building and optimizing machine learning models to analyze social data. By leveraging machine learning algorithms, these professionals create systems that can predict social trends, consumer behavior, and even political sentiment. This role requires strong coding skills and a deep understanding of machine learning techniques applied to social data.
Sentiment Analyst: Sentiment analysts specialize in analyzing public sentiment expressed on social media platforms, reviews, and surveys. Graduates can work with businesses, political campaigns, and organizations to gauge public opinion, identify issues, and monitor brand reputation. This role is especially valuable in marketing, politics, and media.
Data Consultant (Social Analytics): Graduates can work as data consultants, advising businesses or government agencies on how to use social data to make informed decisions. Consultants work with clients to identify key social data sources, design data-driven strategies, and implement social analytics tools that address specific business or societal goals.
Academic Researcher: Graduates who are interested in continuing their studies may pursue academic research opportunities, contributing to the field of social data analysis. With a strong foundation in research methods and data science techniques, they can pursue a PhD or engage in research projects at universities or research institutions.
Non-profit and Advocacy Organizations: Graduates with an interest in social causes can work for non-profit organizations, using data analytics to evaluate the impact of social programs, track trends in public opinion, and advocate for social change. They play an important role in shaping the effectiveness of initiatives aimed at addressing societal issues.
