Master of Science [M.S] (Applied Analytics)
Field of Study:
49,360/Yr
- The MSc in Applied Analytics at Columbia University is a 1-year program.
- The program is available on a full-time or part-time basis.
- This program prepares students with the practical data and leadership skills to succeed in the coming era.
- The program consists of required courses in two core areas:
- Management Core
- Technical Core
- Some of the main topics students learn through this program are:
- Applied analytics in the organizational context
- Research design
- Strategy and analytics
- Managing data
- Analytics and leading change and many more
- The program combines in-depth knowledge of data analytics with the leadership, management, and communication principles and tactics necessary to impact decision-making at all levels within organizations.
- The student-faculty ratio of this college is 6:1.
- The acceptance rate of Columbia University is 5.8%.
- Columbia University is ranked #19 in QS Global World Rankings 2021.
The Master of Science in Applied Analytics For the full-time option, students take courses on Columbia’s New York City campus. The program takes three terms (12 credits per term) to complete, and fall or spring entry is possible.
Important Dates
Tuition Fees
Year | 1st Year Fees |
---|---|
Tuition Fees | 49360 |
Other Expenses
Head | Avg Cost Per Year |
---|---|
Living Expenses | 22800 |
Health Insurance | 642 |
Books and supply | 2000 |
Miscellaneous expenses | 5400 |
Total Cost | 30842 |
Eligibility & Entry Requirement
Academic Eligibility:
- Students must have a bachelor's degree in engineering to get admission to this program.
- Students are required to maintain at least a 3.0 overall GPA.
Language Requirments:
- Students whose official language is not English are required to submit IELTS or TOEFL scores.
Scores Required
100 / 120
Avg. Score in
TOEFL
7.5 / 9
Avg. Score in
IELTS
68 / 90
Avg. Score in
PTE
311 / 340
Avg. Score in
GRE updated
3.0 / 4
Minimum gpa
GPA
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.
- Two confidential letters of recommendation: Referees (Teachers, guidance counselors, or Professors) should comment on academics and that references should submit along with the application system.
Course Guides
Masters (MS) in USA: Colleges, Courses, Deadlines, Eligibility & Fees
Masters of Science in Data Analytics in USA: Universities, Admission, Cost, & Benefits
MS in Data Science in USA: Top Universities, Eligibility, Fees, Scholarships, Scope
Scholarship Grants & Financial Aids
Name | Scholarship Per Student | Level of Study | Type | |
---|---|---|---|---|
Shardashish Interschool fellowship | Scholarship per student 50,000/Yr$50,000 | Level Of StudyMaster | TypeCollege-Specific | |
Chuan Ai Lu Engstrom Memorial Scholarship | Scholarship per student 1,000/Yr$1,000 | Level Of StudyBachelor | TypeMerit-Based | |
Aga khan Foundation Scholarships | Scholarship per studentVariable Amount | Level Of StudyMaster | TypeMerit-Based | |
Prodigy Finance-GyanDhan Scholarship | Scholarship per student 2,500/Yr$2,500 | Level Of StudyMaster | TypeMerit-Based | |
Joint Japan/World Bank Graduate Scholarship Program | Scholarship per studentVariable Amount | Level Of StudyMaster | TypeMerit-Based | |
KC Mahindra Scholarship | Scholarship per student 5,542/Yr$5,542 | Level Of StudyMaster | TypeMerit-Based |
Comments