

Master of Science Business Intelligence & Analytics
Master of Science Business Intelligence & Analytics at Stevens Institute of Technology Overview
Duration | 1.5 - 2 years Get Curriculum |
Tuition & Fees | ₹38.00 Lakh Get Fees details |
International Students Admission Website | Go to Website |
Official Career Service Website | Go to Website |
Course Level | PG Degree |
Master of Science Business Intelligence & Analytics at Stevens Institute of Technology Fees
To get admission in Master of Science Business Intelligence and Analytics at Stevens Institute of Technology students need to cover tuition fees and living costs. The fee structure varies based on whether the student is domestic or international. For international students the tuition fee for the first year is USD 42,828. In addition to this students should budget for
- Other living expenses
- including
- housing
- food
- transportation
- books and personal expenses
| Fees components | Amount (for 1 year) |
|---|---|
| Tuition & fees | INR 38,00,129 |
| Fees components | Amount (for 1 year) |
|---|---|
| Insurance | INR 1,95,561 |
| General Service Fee | INR 1,13,219 |
Master of Science Business Intelligence & Analytics at Stevens Institute of Technology Curriculum
Students can access and download Stevens Institute of Technology Master of Science Business Intelligence & Analytics course by clicking the green button below. The curriculum PDF contains the subjects taught, electives available, and additional course materials. The division of the course structure into semesters is also covered.
Download exam sample paper
Master of Science Business Intelligence & Analytics at Stevens Institute of Technology Entry Requirements
- No specific cutoff mentioned
- CGPA - 3/4
- Read less
- A bachelor's degree from an accredited institution, is required
- A minimum GPA of 3.0 is required to graduate
- Prerequisites: 4-year undergraduate degree; one course covering basic calculus one course on probability, hypothesis testing and estimation, and at least one course in programming or programming experience
- The BI&A program is designed for students with a strong technical background in mathematics, economics, engineering, or computer science

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Out of 10
- Marks - 86/120
-
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Out of 10
- No specific cutoff mentioned
- All applicants to the BI&A program must submit a GMAT or GRE score
- No specific cutoff mentioned
- Marks - 7/9
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- No specific cutoff mentioned
All applicants to the BI&A program must submit a GMAT or GRE score
- Marks - 120/160
- NA
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- Not mentioned
Master of Science Business Intelligence & Analytics at Stevens Institute of Technology Application Process
- Official transcripts from all universities attended
- Proof of English Language Proficiency score
- Proof of GRE or GMAT score
- Financial Documentation Form
- Stevens offers an interest-free payment plan through Nelnet for a $25 enrollment fee per semester (as of Fall 2021).
- Payment plan enrollment and management can be done online by students and their Authorized Party:
- Fall Payment Plan
-
- 5 payment plan is July 1 to November 1
- 4 payment plan is August 1 to November 1
- 3 payment plan is September 1 to November 1
- Last day to enroll in payment plan is August 30
- Spring Payment Plan
- 5 payment plan is December 1 to April 1
- 4 payment plan is January 1 to April 1
- 3 payment plan is February 1 to April 1
- Last day to enroll in payment plan is January 28
Master of Science Business Intelligence & Analytics at Stevens Institute of Technology Rankings
| Rank | Rank Publisher |
|---|---|
| #71 | |
| #176 |
Master of Science Business Intelligence & Analytics at Stevens Institute of Technology Placements
| Particulars | Statistics (2021) |
|---|---|
| Internship Available | Yes |
Stevens Institute of TechnologyStudents Ratings & Reviews
- 50% students never faced discrimination in this university
Master of Science Business Intelligence & Analytics at Stevens Institute of Technology Highlights
- The Business Intelligence & Analytics master's program provides a blend of analytical and professional skills to help students become the kind of manager who challenges assumptions and uses data to make evidence-based decisions
- Students will master new tools that will help students refine products, services, and strategies while setting the pace for their company in markets undergoing constant, technology-driven change.
- The curriculum covers the concepts at the forefront of the data revolution - machine learning, language processing, web mining, optimization and risk.
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