The City College of New York, CCNY
New York
,United States
Program Name
Master of Science in Data Science and Engineering
Deadline
March 17th, 2024
Overview
View Official pageThere are numerous focus areas and types of masters programs one can pursue through higher education at The City College of New York, CCNY, like machine learning, artificial intelligence, data systems administration, and security. Some education options for an international student in data science at The City College of New York, CCNY 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 The City College of New York, CCNY, 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 The City College of New York, CCNY
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 The City College of New York, CCNY 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 The City College of New York, CCNY
Being in the list of the hottest courses, MS in Data Science at The City College of New York, CCNY 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 CCNY are Media, Fossil Fuels, Petroleum, and Refinery, Education, Investment Banking and Markets, etc.
- After pursuing this course at CCNY, the Data Scientists have a major contribution to the development and improvement of technology and advancements globally.
Duration
18 Months
Median Salary
$1,05,000
Ranking
#151
US World and News Report
Intake
Fall ( Sept - Nov )
Class Profile
Class Size
30
Average Age
25
Average Work Experience
2 Years
Diversity
New Jersey:
15%Florida:
5%New York:
40%California:
10%Others:
26%Illinois:
4%Career Outcomes
Median Earnings After Graduation
$1,05,000 / year
Prospective Job Roles
Statistician
Product Manager
Research Scientist
Software Engineer
Data Engineer
Data Analyst
Quantitative Analyst
Data Scientist
Business Analyst
Machine Learning Engineer
Top recruiters
Eligibility Criteria
English Proficiency Tests
TOEFL
73
IELTS
6.5
DUOLINGO
95
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
Academic LOR
Resume
Application Deadlines
Extended | |
---|---|
Fall | Mar 17, 2024 |
Fees and Funding
Tuition Fees
$18,900 / year
Funding Options
External Sources - Scholarships
Department Funding
Scholarships
CUNY Graduate School of Engineering Dean's Scholarship
CUNY Graduate School of Engineering Diversity Scholarship
CUNY Graduate School of Engineering Presidential Scholarship
FAQs
A student can complete Data Science and Engineering at The City College of New York, CCNY with in 18.
The deadline to submit an admission application for Data Science and Engineering at The City College of New York, CCNY is Application deadline Fall (Extended) - date - 17/03/2024
The application fee to pursue Data Science and Engineering at The City College of New York, CCNY is USD 75 for international students.
The annual tuition fee to pursue Data Science and Engineering at The City College of New York, CCNY is USD 18900.
The submission of these scores mainly depends on the type of degree/ course selected at the The City College of New York, CCNY. 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 The City College of New York, CCNY requirements before submitting a score.
Data Science and Engineering 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 The City College of New York, CCNY, they can easily pursue Data Science and Engineering. 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 The City College of New York, CCNY can usually be completed in 2 years. However, many universities offer a 1-year master’s specialisation as well. You can explore the official The City College of New York, CCNY website to check the course/ degree duration.
One can apply for scholarships to pursue their international education at The City College of New York, CCNY 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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