Master of Science [M.S] (Data Science)
STEM Course
1 year
Full Time
On Campus
Field of Study:
$35,314 /Yr
31 Students Applied
6 Students Admitted
- The MSc in Data Science at Columbia University is a 1-year program.
- The Master of Science in Data Science allows students to apply data science techniques to their field of interest, building on four foundational courses offered in the certification of Professional Achievement in Data Sciences program.
- Students have the opportunity to conduct original research, included in a capstone project, and interact with industry partners and faculty.
- Students may also choose an elective track focused on entrepreneurship or a subject area covered by one of eight centers.
- Some students are primarily concerned about data ethics, others are excited about data science as a new evolution in knowledge, but all are interested in how data science is changing their everyday lives.
- The M.Sc in Data Science is for individuals looking to strengthen their career prospects or make a career change by developing expertise in data science.
- The acceptance rate of Columbia University is 5.8%.
- Columbia University is ranked #19 in QS Global World Rankings 2021.
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Important Dates
All completed applications are reviewed on a rolling basis.
Event | Application Date |
---|---|
Early Application Deadline For Spring Intake | Oct 15, 2024 |
Application Deadline For Spring Intake witn International Documents | Nov 15, 2024 |
Tuition Fees
Year | 1st Year Fees |
---|---|
Tuition Fees | $35314 |
Other Expenses
Head | Avg Cost Per Year |
---|---|
Living Expenses | $22800 |
Total Cost | $22800 |
Eligibility & Entry Requirement
Academic Eligibility:
- Students must have a bachelor's degree in a related field received from an institution.
- Students are required to maintain at least a 3.8 overall GPA.
Language Requirments:
- Students whose official language is not English are required to submit IELTS or TOEFL scores.
Scores Required
Required Document List
The following Documents are required to attend this program:
- Statement of Purpose: An essay or other written statement written by the student.
- Resume/CV: Outline of academic achievements and/or awards, publications, relevant work and/or volunteer experience.
- Academic Documents: Submit copies of official transcripts from post-secondary institutions attended.
- Sample of written work: Student has to write something interesting as their sample essay in the application form.
- Statement of Interest: Reasons or intentions for pursuing studies in this program, including a description of prior experience.
- Three confidential letters of recommendation: Referees (Teachers, guidance counselors, or Professors) should comment on academics and that references should submit along with the application system.
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Career and Placement after Course
- Columbia University and the Department of Computer Science provide opportunities for students to explore career options and to prepare for their job search.
- The Center provides career counseling services to current students and alumni.
- Students are encouraged to visit the Center as soon as they start their studies at Columbia.
- The Center’s services include:
- Career counseling to explore career options
- Help with resume writing and interview skills including Mock Interviews
- Career Fairs
- Providing department-specific workshops
Scholarship Grants & Financial Aids
Name | Scholarship Per Student | Level of Study | Type | |
---|---|---|---|---|
Collegedunia $150 Scholarship Program | Scholarship per student$ 150/Yr$150 | Level Of StudyBachelor | TypeMerit-Based | |
Scholarships in Georgia | Scholarship per studentVariable Amount | Level Of StudyBachelor | TypeMerit-Based | |
Go Clean Scholarship | Scholarship per student$ 3,500/Yr$3,500 | Level Of StudyBachelor | TypeMerit-Based | |
Ellis R. Ott Scholarship for Applied Statistics and Quality Management | Scholarship per student$ 7,500/Yr$7,500 | Level Of StudyDoctorate | TypeMerit-Based | |
University of Phoenix | Scholarship per studentVariable Amount | Level Of StudyBachelor | TypeMerit-Based | |
AAUW International Fellowships | Scholarship per studentVariable Amount | Level Of StudyDoctorate | TypeMerit-Based |
College Student Profiles
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Reviews
Engineering (7)
Computer Science (5)
Data Science and Analytics (3)
Business Analytics (2)
Chemical Engineering (1)
Education (1)
Finance (1)
Risk Management (1)
Sciences (1)
Philosophy (1)
Social Studies (1)
Engineering Management (1)
15 Reviews Found
- Likes:
- MS Data Science program is a well know program by Columbia University with renowned and distinguished Professors.,
- The courses, both academic and professional developmental helped me learn more about myself - my strengths and weaknesses and how to build a work oriented lifestyle which would help me in the long-run.,
- The college campus is ecstatic, and the libraries provide a beneficial space to study with a clear mind and focus. I like the way events are organized and students are encouraged to pursue their goals.,
- In a gist, supportive mentors and batch mates have helped me realize the value of networking and making connections.
- Dislikes:
- I do not like the location of the university as it in not in the middle of a happening area. Although it stretches various streets in New York City, it is not an eventful place. This is the only aspect which I do not like.
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