Rensselaer Polytechnic Business Analytics (STEM-designated), M.S.

19/10/2023

NA

GMAT

2

Semesters

$89K

Avg. Cost of Study

12

Months Duration 

$99K

Avg. Salary

Summary

Introduction to Business Analytics (STEM-designated), M.S.

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.

Why Study Business Analytics (STEM-designated), M.S.?

NA

FT Rankings

NA

US News

69

QS Ranking

Students who successfully complete this program will be able to:

  • Demonstrate a mastery of the quantitative elements of business analytics.
  • Correctly apply cutting-edge analytical modeling techniques.
  • Construct data sets to address business problems.
  • Demonstrate familiarity with emerging technologies and practices in handling big data.
  • Effectively visualize and display data.
  • Communicate analytics insights in writing.
  • Create and deliver business presentations.
  • Demonstrate knowledge of key business functions related to analytics.

Program Costs + Living Expenses : Business Analytics (STEM-designated), M.S.

$60,360

Avg. Cost of Tuition/Quarter

+ 

$28,640

Avg. Living Cost/Quarter

89,000

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:

  • Room and board: $15,500
  • Books and supplies: $3,070
  • Other personal expenses: $10,070

Total: $28,640

Please note that these are just estimates and your actual expenses may vary depending on your lifestyle and spending habits.

Employement Prospects : Business Analytics (STEM-designated), M.S.

85%

Employed within 3 months of graduation

99K

Avg. Salary

    Most Sought-after Jobs

  • Data Analyst
  • Business Intelligence Analyst
  • Quantitative Analyst
  • Machine Learning Engineer
  • Data Scientist
  • Risk Analyst
  • Fraud Analyst
  • Marketing Analyst
  • Sales Analyst
  • Financial Analyst
  • Operations Analyst

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.

Eligibility Criteria for Business Analytics (STEM-designated), M.S.

  • Online Application form.
  • International students: TOEFL or IELTS scores (if required), English translation of transcripts, and financial documentation
  • Transfer students: Official transcripts from all colleges and universities attended, and a letter of good standing from the current institution
  • Home-schooled students: GED or high school diploma, and a portfolio of academic work

Documents required : Business Analytics (STEM-designated), M.S.

  • Online application
  • Official transcripts from all colleges and universities attended
  • Resume
  • Statement of Intent
  • Letters of recommendation (two required)

Application Deadlines - Business Analytics (STEM-designated), M.S.

  • Round 1 — Nov. 15, 2023
  • Round 2 — Jan. 15, 2024
  • Round 3 — March 15, 2024
  • Round 4 — May 15, 2024
  • Final Round/Spring 2025 Application Deadline — Aug. 15, 2024

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Scholarships Available : Business Analytics (STEM-designated), M.S.

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:

  • Graduate assistantships: Graduate assistants work as teaching or research assistants in exchange for a stipend and tuition scholarship.
  • Rensselaer Graduate Fellowships: The Institute awards full-stipend, tuition, and fees fellowships to select incoming students.
  • Merit scholarships: Scholarships are available for full-time Master’s degree enrollments, covering 40% of graduate tuition.
  • Corporate, foundation, and private fellowships: Many corporations, foundations, and individuals offer fellowships for graduate study at Rensselaer.
  • Federal financial assistance: Graduate students are eligible for federal financial aid, including Direct Loans and Pell Grants.

To learn more about financial assistance for graduate students at Rensselaer, please visit the Rensselaer Graduate School website.

Specializations & Electives Offered

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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FAQs About MS

The program is a full-time, 12-month program with a flexible schedule to accommodate working professionals.

 

The program requires a bachelor’s degree in any field, a strong quantitative background, and a minimum GPA of 3.0. GMAT/GRE scores are optional.

 

Graduates of the program are well-positioned for careers in various fields, including data analytics, business intelligence, consulting, and marketing.

 

Yes, the program is STEM-designated, which means international students who graduate from the program may be eligible for a 24-month extension of their Optional Practical Training (OPT) period.

The curriculum is designed to provide students with a strong foundation in business analytics, including data analysis, modeling, and communication. Students can also choose to specialize in a particular area, such as marketing analytics or financial analytics.

 

Application Process & timeline

We strongly advise all our clients to have a proper excel sheet or a timetables mapped out.
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

Profile Evaluation

 1-2 weeks.

Get your profile evaluated from a professional consultant and figure out what schools you can target based on your profile

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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