MBM Master of Business Management
The MBM program at the University of Essex is designed to develop well-rounded business...
BSc Sociology with Data Science
Colchester Campus
INTAKE: October
Program Overview
The BSc Sociology with Data Science program at the University of Essex combines the study of sociology with advanced data analytics and statistical methods. This interdisciplinary program equips students with the theoretical knowledge and practical skills to analyze complex social phenomena using quantitative techniques and big data. Students gain insights into social structures, inequalities, and behaviors while learning how to leverage data science tools to extract meaningful insights and inform evidence-based policy and decision-making. The program fosters critical thinking, research skills, and proficiency in data analysis, preparing students for careers in fields such as social research, policy analysis, data science, and market research.
1. Sociology Foundations: The program provides a strong foundation in sociology, covering key concepts, theories, and methodologies used to study human societies and social phenomena. Students explore topics such as social stratification, gender, race, globalization, and urbanization.
2. Data Analysis and Statistical Techniques: Students learn advanced data analysis techniques and statistical methods applicable to social science research. They gain proficiency in using software tools such as R or Python for data manipulation, visualization, and hypothesis testing.
3. Quantitative Research Methods: The curriculum emphasizes quantitative research methods, including survey design, sampling techniques, and multivariate analysis. Students acquire skills in designing and conducting social research studies using large datasets.
4. Social Network Analysis: The program includes modules on social network analysis, exploring how relationships and interactions between individuals and groups shape social structures. Students learn to analyze social networks using graph theory and network metrics.
5. Applied Data Science in Sociology: Students apply data science techniques to sociological research questions, investigating real-world issues such as income inequality, health disparities, or migration patterns. They conduct data-driven analyses and interpret findings in sociological contexts.
6. Policy Analysis and Evidence-Based Decision Making: The program prepares students to contribute to evidence-based policy development and evaluation. They learn how to use data to inform policy decisions, evaluate social programs, and assess the impact of policies on different population groups.
7. Market Research and Consumer Behavior: Graduates can pursue careers in market research and consumer behavior analysis. They use data science tools to understand consumer preferences, market trends, and social influences on purchasing decisions.
8. Social Impact Assessment and Program Evaluation: Graduates may work in social impact assessment or program evaluation roles, assessing the effectiveness of social interventions and programs. They measure outcomes, identify areas for improvement, and recommend evidence-based strategies.
9. Data Visualization and Communication: Students develop skills in data visualization and communication, translating complex data into accessible insights and compelling narratives. They create visualizations and reports to communicate findings to diverse audiences.
10. Career Opportunities in Research and Analytics: Graduates of the BSc Sociology with Data Science program pursue careers as social researchers, data analysts, policy analysts, research consultants, or data scientists in academia, government agencies, nonprofit organizations, market research firms, and tech companies.
Location
Colchester Campus
Score
IELTS: 6
Tuition Fee
£ 17700
Undergraduate Entry Requirements
Academic Qualifications: Applicants should have successfully completed their secondary education with a minimum overall score of 70 to 75% or equivalent in their respective country's grading system.
English language proficiency:
- IELTS: A minimum overall score of 6.0 with no individual component below 5.5.
- TOEFL: A minimum overall score of 75.
- PTE Academic: A minimum overall score of 51.
Students must provide:
- academic marksheets & transcripts
- letters of recommendation
- a personal statement - SOP
- passport
- other supporting documents as required by the university.
It is important to note that entry requirements may vary across different programs and courses. Additionally, meeting the minimum entry requirements does not guarantee admission, as the university considers factors such as the number of available places and competition for certain courses.
The University of Essex offers a range of scholarships and financial support options to assist students in their academic journey. These scholarships are designed to recognize and reward academic excellence, promote diversity and inclusion, and provide assistance to those facing financial challenges.
Academic Excellence Scholarships: The university offers scholarships to outstanding students who demonstrate exceptional academic achievements. These scholarships are typically merit-based and provide financial support towards tuition fees or living expenses.
International Scholarships: The University of Essex provides scholarships specifically designed for international students. These scholarships aim to attract and support talented students from around the world. Eligibility criteria and award amounts may vary, and they may cover a portion of tuition fees or provide assistance with living expenses.
Subject-specific Scholarships: Some departments and schools within the university offer scholarships tailored to specific academic disciplines. These scholarships are often awarded to students with exceptional academic records or those who demonstrate a strong commitment to their field of study.
Access and Participation Scholarships: The university is committed to promoting diversity and inclusion. It offers scholarships and financial support to students from underrepresented backgrounds, including those from low-income families or individuals who are the first in their family to attend university.
Government-funded Scholarships: In addition to internal scholarships, the University of Essex provides information and guidance on scholarships and funding opportunities offered by external organizations and government agencies. These scholarships may be available to students based on factors such as nationality, field of study, or research interests.
Sports Scholarships: The university recognizes the importance of sports and offers scholarships to talented athletes who demonstrate exceptional sporting abilities. These scholarships provide financial support along with access to sports facilities, training programs, and dedicated support services.
It is important to note that scholarship availability, eligibility criteria, and application processes may change over time.
Graduates of the BSc Sociology with Data Science program at the University of Essex have diverse career opportunities in social research, data analysis, policy analysis, market research, healthcare, education, consulting, and government. Their interdisciplinary skill set combining sociology with data science prepares them for roles that require quantitative analysis, critical thinking, and a deep understanding of social phenomena. The program's emphasis on research methods, data analysis techniques, and applied sociology equips graduates with valuable skills sought after in today's data-driven and socially conscious professional landscape.
1. Social Researcher: Graduates can work as social researchers in academic institutions, government agencies, or research organizations. They conduct quantitative studies, analyze social trends, and contribute to academic research on topics such as inequality, health, education, and social policy.
2. Data Analyst/Data Scientist: Graduates are equipped to pursue roles as data analysts or data scientists in various industries, including social research, market research, healthcare, and finance. They use statistical techniques and data visualization tools to extract insights from large datasets and inform decision-making.
3. Policy Analyst/Evaluator: Graduates can work as policy analysts or program evaluators for government agencies, think tanks, or non-profit organizations. They assess the impact of policies and social programs using data-driven approaches, providing evidence-based recommendations for policy improvement.
4. Market Researcher/Consumer Insights Analyst: Graduates may pursue careers in market research or consumer insights, helping businesses understand consumer behavior, market trends, and competitive landscapes. They analyze data to identify market opportunities and develop effective marketing strategies.
5. Social Impact Analyst/Program Evaluator: Graduates can specialize in social impact assessment or program evaluation within the non-profit sector. They assess the effectiveness of social programs, measure outcomes, and recommend strategies for optimizing social impact and resource allocation.
6. Healthcare Data Analyst/Health Policy Researcher: Graduates interested in healthcare can work as data analysts or researchers in health policy organizations, hospitals, or public health agencies. They analyze healthcare data to identify health disparities, evaluate healthcare interventions, and inform health policy decisions.
7. Education Researcher/Analyst: Graduates can pursue careers in education research and analysis, working for educational institutions or government agencies. They analyze educational data to assess student performance, evaluate educational programs, and identify factors affecting educational outcomes.
8. Consulting Analyst: Graduates with strong analytical and problem-solving skills can work as consulting analysts for management consulting firms. They provide data-driven insights and recommendations to clients across various industries, helping organizations optimize performance and strategy.
9. Government Data Officer/Statistician: Graduates can work as data officers or statisticians for government agencies, responsible for collecting, analyzing, and interpreting social data for policy development and decision-making.
10. Academic Career/Postgraduate Studies: Graduates interested in academia can pursue postgraduate studies (e.g., Master's or PhD) in sociology, data science, or related fields. They can become researchers or lecturers in universities, contributing to the advancement of knowledge in social sciences and data analytics.
