QS Rank:
11
University of Pennsylvania
Pennsylvania
,United States
Program Name
Master's in Urban Spatial Analytics
Deadline
January 12th, 2024
Overview
View Official pageThere are numerous focus areas and types of masters programs one can pursue through higher education at University of Pennsylvania, like machine learning, artificial intelligence, data systems administration, and security. Some education options for an international student in data science at University of Pennsylvania 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 of Pennsylvania, 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 of Pennsylvania
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 of Pennsylvania 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 of Pennsylvania
Being in the list of the hottest courses, MS in Data Science at University of Pennsylvania 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 UPenn are Media, Fossil Fuels, Petroleum, and Refinery, Education, Investment Banking and Markets, etc.
- After pursuing this course at UPenn, the Data Scientists have a major contribution to the development and improvement of technology and advancements globally.
Duration
12 Months
Median Salary
$75,000
Ranking
#7
US World and News Report
#14
The World University Rankings
#11
QS World University Rankings
Intake
Fall ( Sept - Nov )
Class Profile
Class Size
25
Average Age
28
Average Work Experience
3 Years
Diversity
International:
5%Others:
5%New Jersey:
15%New York:
10%Pennsylvania:
65%Career Outcomes
Median Earnings After Graduation
$75,000 / year
Prospective Job Roles
Urban Designer
Geographer
Environmental Scientist
Urban Planner
Transportation Planner
Data Scientist
City Planner
Real Estate Developer
GIS Analyst
Environmental Engineer
Top recruiters
Eligibility Criteria
English Proficiency Tests
DUOLINGO
115
TOEFL
100
IELTS
7
PTE
68
Application Requirements
Here's everything you need to know to ensure a complete and competitive application—covering the key documents and criteria for a successful submission.
Transcript
Personal Statement
Resume
Academic LOR
Application Deadlines
Standard Deadline | |
---|---|
Fall | Jan 12, 2024 |
Fees and Funding
Tuition Fees
$56,558 / year
Funding Options
External Sources - Scholarships
Department Funding
Scholarships
Penn Engineering Dean's Scholarship
Penn Wharton Dean's Scholarship
Penn Arts & Sciences Dean's Scholarship
FAQs
A student can complete Urban Spatial Analytics at University of Pennsylvania with in 12.
The deadline to submit an admission application for Urban Spatial Analytics at University of Pennsylvania is Application deadline Fall (Standard Deadline) - date - 12/01/2024
The application fee to pursue Urban Spatial Analytics at University of Pennsylvania is USD 80 for international students.
The annual tuition fee to pursue Urban Spatial Analytics at University of Pennsylvania is USD 56558.
The submission of these scores mainly depends on the type of degree/ course selected at the University of Pennsylvania. 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 of Pennsylvania requirements before submitting a score.
Urban Spatial Analytics 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 of Pennsylvania, they can easily pursue Urban Spatial Analytics. 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 of Pennsylvania 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 of Pennsylvania website to check the course/ degree duration.
One can apply for scholarships to pursue their international education at University of Pennsylvania 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.
Ready to elevate your study abroad journey?
Book a call with us now and take the first step towards your global future!