Master of Science [M.S] (Business Analytics)
Field of Study:
49,360/Yr
- The MSc in Business Analytics at Columbia University is a 1-year program.
- The Columbia Engineering and Columbia Business School offers a new full-time Master of Science in Business Analytics degree.
- This three-semester program designed for those who want to focus on learning the modeling techniques and data science tools that help businesses use data to make better decisions.
- Some of the main topics students learn through this program are:
- Python for Analytics Bootcamp
- Optimization Models and Methods
- Data Analytics
- Marketing Analytics
- Operations Strategy
- Risk Management and many more
- The key element of the new program is a capstone project that gives an intense consulting engagement with clients and their real-world business problems using real data sets.
- .The student-faculty ratio of this college is 6:1.
- The role of analytics has grown increasingly critical in business, healthcare, government, and many other sectors of the economy.
- The acceptance rate of Columbia University is 5.8%.
- Columbia University is ranked #19 in QS Global World Rankings 2021.
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 a related field of engineering or science to get admission in 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 / 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.
Career and Placement after Course
After completing this program, students have the following career opportunities in:
- Data analysts and data scientists
- Business analysts in logistics
- Supply chain management
- Operations, or revenue management department
- Financial analysts in various functions (e.g. risk management) of investment banks
- credit-card companies
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 | |
QS Leadership Scholarship | Scholarship per student 10,000/Yr$10,000 | Level Of StudyMaster | TypeMerit-Based | |
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 |
College Student Profiles
Reviews
11 Reviews Found
The flexible curriculum is a key factor, it allows student to pursue courses from both Engineering and Business schools. The Ivy League tag and the location of the University were also key factors for me.
I chose Columbia University because of its brand and location, access to immense opportunities in NYC, and the opportunity to build a good professional network.
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