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MSc Social Data Science

Colchester Campus

 

INTAKE: October

Program Overview

The MSc Social Data Science program at the University of Essex equips students with the skills and knowledge to analyze and interpret large-scale social data to gain insights into human behavior, social patterns, and societal phenomena. 

  1. Interdisciplinary Approach: The program takes an interdisciplinary approach, integrating concepts and techniques from social sciences, computer science, statistics, and data analytics. Students develop a deep understanding of social phenomena while mastering advanced data analysis methods.

  2. Data Analytics and Visualization: The program focuses on data analytics and visualization techniques, enabling students to work with diverse social data sources, such as social media data, surveys, administrative records, and web data. They learn how to extract, clean, analyze, and visualize large-scale datasets to uncover meaningful insights.

  3. Statistical Modeling and Machine Learning: Students gain expertise in statistical modeling and machine learning algorithms, allowing them to build predictive models, identify patterns, and conduct advanced analyses. They acquire skills in data manipulation, exploratory data analysis, and hypothesis testing to derive evidence-based conclusions.

  4. Ethical and Responsible Data Science: The program emphasizes the importance of ethical and responsible data science practices. Students learn about data privacy, data protection, and ethical considerations in handling sensitive social data. They are trained to conduct research and analyze data in a responsible and ethical manner.

  5. Practical Applications and Research Projects: The program provides practical applications of social data science through real-world projects and case studies. Students have the opportunity to work on industry collaborations, research projects, or internship placements, gaining hands-on experience in applying data science techniques to address social challenges.

Pollster Education

Location

Colchester Campus

Pollster Education

Score

IELTS 6.5

Pollster Education

Tuition Fee

£ 20350

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  50 to 55% 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 90.
    • PTE Academic: A minimum overall score of 62 with no individual score below 51.
  • 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 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.  

  1. 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.
  2. 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.
  3. 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.
  4. 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.
  5. 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.
  6. 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 MSc Social Data Science program have diverse career prospects in both the public and private sectors, where data-driven decision-making and understanding of human behavior are highly valued. 

  1. Data Analyst: Graduates can work as data analysts in research organizations, consulting firms, or government agencies. They analyze social data, identify trends, and generate insights to inform policy decisions, market research, and social impact evaluations.

  2. Data Scientist: Graduates can pursue careers as data scientists in technology companies, social media platforms, or data-driven startups. They apply advanced statistical and machine learning techniques to solve complex social problems, enhance customer experiences, or develop data-driven products.

  3. Researcher: Graduates can work as social researchers in academia or think tanks, conducting research on social issues, policy evaluation, or social impact assessments. They contribute to evidence-based policy recommendations and the advancement of social science knowledge.

  4. Data and Policy Analyst: Graduates can work in government departments or non-profit organizations, analyzing social data to inform policy development, social interventions, or program evaluations. They provide insights into social inequalities, public health, education, or community development.

  5. Academic and Further Studies: Graduates can pursue doctoral studies to deepen their expertise in social data science or related fields. This pathway opens opportunities for research and teaching positions in universities and research institutions.

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