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Students
Tuition Fee
GBP 32,000
Per year
Start Date
Medium of studying
Duration
12 months
Program Facts
Program Details
Degree
Masters
Major
Data Analytics | Data Science
Area of study
Information and Communication Technologies
Timing
Full time
Course Language
English
Tuition Fee
Average International Tuition Fee
GBP 32,000
About Program

Program Overview


The MSc Data Science (Social Analytics) is a one-year program that equips students to apply data science techniques to social issues. Emphasizing interdisciplinary approaches from five disciplines, the program aims to inspire students, foster teamwork, and prepare them for careers in data science within social contexts. This program is offered full-time by the School of Social Sciences.

Program Outline


Degree Overview:

The MSc Data Science (Social Analytics) is a one-year program designed to equip students with the skills and knowledge to apply data science techniques to social issues. The program emphasizes the interdisciplinary nature of data science, drawing on five different disciplines.


Objectives:

  • Absorb and focus on data, and what data science can do.
  • Develop team-working skills, and actively study as part of a dynamic group.
  • Be inspired by what the interdisciplinary course, drawing on five different disciplines, can provide.

Other:

  • The program is offered full-time.
  • The program is taught by the School of Social Sciences.

  • £16,000 per annum for UK students (MSc full-time)
  • £32,000 per annum for international, including EU, students (MSc full-time)
  • Self-funded international applicants for this course will be required to pay a deposit of £1,000 towards their tuition fees before a confirmation of acceptance for studies (CAS) is issued.
  • This deposit will only be refunded if immigration permission is refused.
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Admission Requirements

Entry Requirements:

  • Academic Requirements:
  • High 2:1 honours degree (or overseas equivalent)
  • Degree with a substantial proportion of social science content (minimum of two degree-level units in sociology, psychology, anthropology, economics, history, human geography, political science, or public health).
  • Other Skills/Experience:
  • Evidence of applying statistical modelling to social sciences.
  • Non-academic experience with the application of statistical models to social issues.
  • Experience working on public policy issues or similar.
  • Application Requirements:
  • Demonstrate aptitude, knowledge, and/or interest in three areas:
  • Data analytics and/or statistics
  • Computational subjects
  • Pathway-specific requirements (These can be demonstrated through course units taken at undergraduate and high school levels, or professional experience).
Location
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