QS Rank:
8
University College London
London
,United Kingdom
Program Name
Master of Science in Spatial Data Science and Visualisation
Overview
View Official pageThere are numerous focus areas and types of masters programs one can pursue through higher education at University College London, like machine learning, artificial intelligence, data systems administration, and security. Some education options for an international student in data science at University College London include masters in data science, bachelors in data science, boot camps, and short courses.
Course Level | Post Graduation |
Course Duration | 12-14 months |
Average Tuition Fee | INR 15-60 lakhs per year |
Top Job Roles | Data Scientist, Data Analyst, Data Manager, Data Architect, etc. |
Earning a master’s in data science can help one achieve a broad skill set that can be applied to numerous tech-related careers, such as data engineering, data architecture, computer programming, etc. As a student in the MS in Data Science degree program at University College London, one can expect to dive into essential concepts in the mentioned areas:
- Applied Statistics
- Database Systems and Data Preparation
- Practical Machine Learning
Subjects Under Masters in Data Science at University College London
The syllabus for the Data Science Postgraduate courses will vary as per the specialisation and university/college chosen by an international student. However, certain MS in Data Science subjects are common for most courses. Apart from the final year projects and internship, the common Data Scientist masters program subjects at University College London are as follows:
- Statistics
- Coding
- Business Intelligence
- Data Structures
- Mathematics
- Algorithm
- Programming
- Software engineering
- Artificial intelligence
- Machine learning
- Systems architecture
These subjects can be adjusted based on a university curriculum and specialisation.
Scope of MS in Data Science at University College London
Being in the list of the hottest courses, MS in Data Science at University College London offers immense opportunities for students with various intriguing and growth-oriented job roles.
- The top job roles in the list include Data Scientist, Data Architect, Enterprise Architect, Data Administrator, Data Analyst, etc.
- The top salaried sectors that an international student can explore after pursuing their data scientist masters program at UCL are Media, Fossil Fuels, Petroleum, and Refinery, Education, Investment Banking and Markets, etc.
- After pursuing this course at UCL, the Data Scientists have a major contribution to the development and improvement of technology and advancements globally.
Duration
12 Months
Median Salary
$34,000
Ranking
#16
US World and News Report
#18
The World University Rankings
#8
QS World University Rankings
Class Profile
Class Size
25
Average Age
25
Average Work Experience
2 Years
Language Test Scores
Minimum Score
92 / 120
Minimum Score
6.5 / 9
Diversity
North America:
5%Africa:
2%Others:
6%UK:
60%Asia:
10%South America:
2%EU:
15%Admissions
Application Requirements
Applicants should have a good honours degree (or equivalent) in a subject such as mathematics, statistics, computer science, physics, engineering or a related discipline. Applicants with a non-quantitative background may be considered if they have relevant work experience or postgraduate qualifications. Applicants must have a strong understanding of mathematics, including calculus, linear algebra and statistics. They must also have good programming skills and be able to work independently and as part of a team. The MSc programme is highly competitive and only a limited number of places are available. Applicants are therefore advised to apply early.
What Really Matters When Applying
One or Two References
Required
Transcripts
Required
English language certificate
Required
Academic LOR
Required
Transcript
Required
Resume
Required
Career Outcomes
Median Earnings After Graduation
$34,000 / year
Prospective Job Roles
Research Scientist
Geographer
Cartographer
GIS Specialist
Environmental Scientist
Urban Planner
Spatial Analyst
Geospatial Engineer
Data Scientist
Remote Sensing Specialist
Top recruiters
Fees and Funding
Tuition Fees
$31,200 / year
Funding Options
External Sources - Scholarships
Department Funding
Scholarships
UCL International Scholarship
UCL Dean's Scholarship
UCL Graduate Scholarship
FAQs
A student can complete Spatial Data Science and Visualisation at University College London with in 12.
The application fee to pursue Spatial Data Science and Visualisation at University College London is GBP 90 for international students.
The annual tuition fee to pursue Spatial Data Science and Visualisation at University College London is GBP 31200.
The submission of these scores mainly depends on the type of degree/ course selected at the University College London. For example, the GMAT test is required to take admission to an abroad graduate management program, the LSAT is required during an abroad Law School admission process, and more. Therefore, check University College London requirements before submitting a score.
Spatial Data Science and Visualisation can help Indian/ international students gain: 1. Quality and Practical Education 2. Global Recognition 3. International Exposure 4. Amazing Job Opportunities 5. Experience of Lifetime and more
If a student fulfils all the eligibility criteria and admission requirements of University College London, they can easily pursue Spatial Data Science and Visualisation. The basic eligibility criteria include the following: 1. A GPA above 3 2. Well-written Statement of Purpose 3. An impressive Letter of Recommendation 4. A Work Experience Certificate (if required) 5. A Statement of Financial Proof 6. Academic Transcripts 7. Valid Visa, etc.
An MS degree at University College London can usually be completed in 2 years. However, many universities offer a 1-year master’s specialisation as well. You can explore the official University College London website to check the course/ degree duration.
One can apply for scholarships to pursue their international education at University College London by: 1. Looking for country-specific scholarships by contacting the specific scholarship institutions. 2. Applying to or finding out if any subject-specific scholarships are available from the university website/ department.
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