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NA
GMAT
2
Semesters
$89K
Avg. Cost of Study
12
Months Duration
$99K
Avg. Salary
This degree program provides students with the knowledge and essential business and technical skills needed to respond to the new challenges characteristic of the data intensive decision-making environments in the world today.
The program prepares students with the skills to handle large scale data, and develop and utilize statistical and analytics models to mine the data to gain business insights. This includes: cutting-edge analytical modeling; statistical analysis; data management techniques; emerging concepts, practices, and techniques in handling big data; data modeling and analysis to identify patterns; and applying skills to real-world problems in specific business domains.
The program is one year and 30 credits. The curriculum offers a balance between foundational business concepts with skills in analytical and statistical modeling and data management. The curriculum includes three parts: a business core, an analytics core that includes both modeling and data management courses, and a domain-focused application core that includes project-based courses that allow students to apply their skills to real-world problems in specific domains.
NA
FT Rankings
NA
US News
69
QS Ranking
Students who successfully complete this program will be able to:
$60,360
Avg. Cost of Tuition/Quarter
+
$28,640
Avg. Living Cost/Quarter
Avg. Cost of Study
Full-time graduate tuition is $60,360.00 per academic year. The estimated living expenses for graduate students in Rensselaer Polytechnic Institute (RPI) are as follows:
Total: $28,640
Please note that these are just estimates and your actual expenses may vary depending on your lifestyle and spending habits.
Employed within 3 months of graduation
Avg. Salary
Most Sought-after Jobs
The master’s degree in business analytics prepares students for transformative careers as data scientists, quantitative consultants, market and consumer analysts, or other data-driven positions.
Companies that have hired our graduates include Accenture, Amazon, American Airlines, BlackRock, Bloomberg, Deloitte, Ernst & Young, Hulu, IBM, Johnson & Johnson, Microsoft, Pratt & Whitney, Wayfair, and more.
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Only full-time, degree-seeking graduate students are eligible for financial support from Rensselaer in the form of research assistantships, teaching assistantships, or fellowships. The Office of Graduate Education awards Rensselaer Graduate Fellowships and the schools and departments award fellowships and research assistantships, teaching assistantships, and scholarships.
Rensselaer offers several types of financial assistance to graduate students:
To learn more about financial assistance for graduate students at Rensselaer, please visit the Rensselaer Graduate School website.
Students can choose two courses from an evolving list of domain-specific electives. A sample list is provided below:
COMM 6880 – Interactive Data Visualization Credit Hours: 3
CSCI 6100 – Machine Learning from Data Credit Hours: 4
CSCI 6250 – Frontiers of Network Science Credit Hours: 4
CSCI 6370 – Data and Society Credit Hours: 4
CSCI 6390 – Data Mining Credit Hours: 4
MGMT 6350 – Supply Chain Analytics Credit Hours: 3
MGMT 6400 – Financial Econometrics Modeling Credit Hours: 3
MGMT 6720 – Internet Marketing Credit Hours: 3
MGMT 6520 – Financial Modeling and Optimization Credit Hours: 3
MGMT 7030 – Strategy, Technology, and Competition Credit Hours: 3
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You are eligible to apply if you have earned a Bachelor of Science in a similar science discipline, but you may be at a disadvantage compared to engineering majors who have applied. Please thoroughly review the requirements of the program in the MSME Graduate Handbook to help you decide if you are prepared for our program.
Yes. Students with a BS degree are eligible to apply to the PhD program.
You can enter all types of work experience in the Education and Experience section as well as detailing these experiences on your CV (Resumé).
Students who have already received a Master’s degree or an equivalent international advanced degree in Mechanical Engineering or a closely related discipline are not eligible for admission to Stanford’s MS program in Mechanical Engineering. Students with a Master’s degree in a discipline that does not substantially overlap with Stanford’s MS program may apply.
Students who are already enrolled in a program leading to a Master’s degree or an equivalent international advanced degree in Mechanical Engineering or a closely related discipline are not eligible for admission to Stanford’s MS program in Mechanical Engineering.
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Once you are done with GMAT the entire application process usually take 4-6 weeks
Step 1
GMAT / GRE Score
2-3 months.
If you are not sure about what score to target then look at the average score of the schools you want and shoot above the average.
Step 2
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1-2 weeks.
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Step 3
Application Prep
3-4 weeks at least.
Start writing at least 1 month in advance of their 1st deadline. First application usually takes the longest.
Step 4
Interview Prep
1 week
School will notify you and give you roughly 1 week to schedule your interview. Ideally, start your prep ASAP and Do some mock interviews.
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