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Overview
With the rise of new and big forms of data, and computation and analytics forming ever-increasingly important elements of a wide range of professions, this programme with prepare you for a variety of careers in the private, non-profit and public sectors.
With a background in social sciences, you will be trained to use data to answer interesting social science questions. You will take a series of project-based programming courses specifically designed for students without a formal computing or statistical background. A typical student will also have taken a prior course in quantitative methods or applied statistics at a basic level, although this is not a formal requirement.
You will become fluent in a variety of programming languages and applications, particularly R and Python, and will learn to create and manipulate large databases and think creatively about how to deploy these skills in the context of specific projects.
You will also have the opportunity to choose substantive electives, allowing you to tailor the Applied Social Data Science programme from London School of Economics and Political Science to your particular interests. The programme will culminate in a capstone project where you will creatively apply the technical skills you have learned to a project of your own design.
Careers
This programme will prepare you for a variety of careers in the private, non-profit and public sectors.
Programme Structure
Courses include:
- Computer Programming
- Fundamentals of Social Science Research Design
- Data for Data Scientists
- Managing and Visualising Data
- Applied Regression Analysis
- Applied Machine Learning for Social Science
- Machine Learning and Data Mining
- Capstone Project
Key information
Duration
- Full-time
- 12 months
- Part-time
- 24 months
Start dates & application deadlines
- StartingApply anytime.
Language
English
IELTS 7
PTE Academic 65
TOEFL® IBT 100
Credits
180 alternative credits
Delivered
On Campus
Disciplines
Statistics Computer Sciences Data Science & Big Data View 698 other Masters in Computer Sciences in United KingdomAcademic requirements
GPA Upper Second Class
English requirements
IELTS 7
PTE Academic 65
TOEFL® IBT 100
Other requirements
General requirements
- Upper second class honours (2:1) degree or equivalent in social science, data science, statistics or a quantitative field. Work experience is advantageous but not required.
Tuition Fee
To alway see correct tuition fees
-
International
32208 GBP/yearTuition FeeBased on the tuition of 32208 GBP per year during 12 months. -
National
31584 GBP/yearTuition FeeBased on the tuition of 31584 GBP per year during 12 months.
Living costs for London
1137 - 2157 GBP /month
Living costs
The living costs include the total expenses per month, covering accommodation, public transportation, utilities (electricity, internet), books and groceries.
Funding
Studyportals Tip: Students can search online for independent or external scholarships that can help fund their studies. Check the scholarships to see whether you are eligible to apply. Many scholarships are either merit-based or needs-based.
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