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Columbia University Data Science Program
Founded in 1754 in New York City, Columbia is one of the oldest and most renowned institutions of higher education in the United States. The private research university and Ivy League member is currently home to more than 25,000 undergraduate and graduate students.
Columbia houses several highly ranked colleges and professional schools, including the Columbia Business School, the Teachers College, and the Columbia Law School.
Columbia GRE Scores: How Competitive Is Columbia?
Columbia University is an extremely competitive school for graduate applicants.
What’s a Good GRE Score for Columbia?
In this section, we provide you with an overview of the Columbia University average GRE scores for various grad programs.
For each program, we also give you its US News ranking, note whether it requires the GRE or not, and give you its average undergrad GPA and acceptance rate (if available).
Generally speaking, for most grad programs, GRE score information will be presented in one of three ways:
- Required GRE scores: These are the minimum GRE scores you must get to be eligible for admission to a particular program. Getting lower than this score will most likely result in an automatic rejection.
- Recommended GRE scores: These are “guideline” scores a certain program prefers applicants to have. Getting these scores (or even higher) will make you a competitive candidate for admission and raise your chances of getting in.
- Average GRE scores: These are the average (mean) scores of previously admitted applicants to a program. Getting these scores means you’re on part with other applicants. If you can get higher than the GRE average, though, your application will stand out even more!
What are the eligibility requirements for the Data Science graduate programs?
Successful applicants for both the Master of Science in Data Science and Certification of Professional Achievement in Data Sciences programs should have:
- an undergraduate degree
- prior quantitative coursework (i.e., linear algebra, probability/statistics, etc.)
- prior introductory to computer programming coursework (i.e., Python, Java, C+, etc.)
We often have prospective students ask about how they should meet the required quantitative or computer programming prerequisites if they have not previously completed formal credit-bearing coursework. Many applicants often ask about completing MOOC courses as a means of meeting the prerequisites. While these strategies are encouraged, keep in mind that the admissions process is competitive. Faculty reviewers will often place more weight on formal coursework (or work experience) over MOOCs. That being said, MOOCs are routinely used to supplement learning and/or serve as a refresher course for many of our students.
What are the minimum GRE, GPA, and/or TOEFL scores required for admission?
There are no minimum test score or GPA requirements to apply for admission consideration. Applicant scores and grades will be evaluated in the context of other applicants.
Average Scores for the Fall 2019 Data Science cohort:
- Average Undergraduate GPA: 3.76
- Average GRE: 168 (Q), 158 (V), 3.8 (W)
Please note that the admissions committee reviews applications from a holistic perspective. Applicants can offset lower test scores with captivating personal statements, strong letters of recommendation, etc.
Columbia University M.Sc Data Sciences Fees, Eligibility, Admission & Deadlines
Program Description
- 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.
Program Highlights
| Degree Type Offered | Master |
| Duration | 1 year |
| Fees | $ 60540 for 1 year |
| Delivery Type | Full Time |
| Admission Intake | Winter (Deadline – Feb 15) |
| Language Proficiency | TOEFL,IELTS |
| Exams | GMAT |
| Program URL | https://datascience.columbia.edu/master-of-science-in-data-science |
Eligibility & Entry Requirement
Academic Eligibility:
- Students must have a bachelor’s degree in a related field received from an institution.
- Students required to maintain at least a 2.7 overall GPA.
Language Requirments:
- Students whose official language is not English are required to submit IELTS or TOEFL scores.
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.
Application Deadline
CHECK ELIGIBILITY
| Event | Date |
| winter | Feb 15, 2020 |
Scores Required
100 / 120
Avg. Score in
7 / 9
Avg. Score in
530 / 800
Avg. Score in
Fees & Funding
Tution & Application Fees
| Year | Year 1 |
| Tuition Fees | $60540 |
Living Costs
| Head | Avg Cost Per Year |
| Living Expenses | $ 22800 |
Scholarship Grants & Financial Aids
| Name | Amount | International Students Eligible | Application Deadline |
| Shardashish Interschool fellowship | $ 50000 | Yes | Feb 1, 2021 |
| The Kay-Grant Group Scholarship 2020 | $ 1000 | Yes | Oct 31, 2020 |
| Paul Foundation scholarships | $ 20174 | Yes | N/A |
| FormSwift Scholarship Program | $ 1000 | Yes | Mar 15, 2020 |
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VISA & Work Study
VISA
There are 4 types of VISA for applying for Columbia University:
- F-1 Student VISA
- F-2 Department VISA
- J-1 Student VISA
- J-2 Department VISA
The general documents required for the visa application include:
- Copy of admission letter/email
- Copy of a valid Passport
- Financial Certification Form (Estimated expenses of the program)
- Evidence of Financial Support (Refer to the funding documents checklist)
- Passport identification page of each dependent, if applicable
- If the applicant currently in the U.S, a copy of their I-94 arrival record
Work Study
Students may not work during their own scheduled class hours. Students may work up to 20 hours per week during the academic year (including Spring Break), except as noted on the pay schedule, and 35 hours per week during the eligible winter and summer break.
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
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