University of Denver - Daniels College of Business

Master of Science in Business Analytics

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What makes Denver - Daniels's
Master of Science in Business Analytics Different!

STEM‐Designated Curriculum

Covers advanced analytics, machine learning, and data management, qualifying international students for up to 36 months of OPT.

Hands-On Learning

Real-world consulting projects with local organizations, capstone assignments, and case studies to apply tools like Python, R, SQL, and Tableau.

Experienced Faculty

Instructors combine academic research in data science with industry experience in finance, marketing analytics, and operations research.

Career Support & Placements

Dedicated career advisors, résumé workshops, mock interviews, and networking events. Over 90% of graduates find roles—often as data analysts, BI consultants, or analytics engineers—within six months.

Capstone “Analytics in Action”

Final-semester project where teams solve a high-impact data problem for a corporate partner, presenting insights to senior stakeholders.

Know More about the Denver - Daniels Master of Science in Business Analytics Program

The Master of Science in Business Analytics at the University of Denver’s Daniels College of Business equips students with expertise in data science, predictive modeling, and machine learning. The program emphasizes real-world applications, leveraging Denver’s business and tech ecosystem to prepare graduates for data-driven roles in various industries. ..... Read More

Duration

12 Months

Where do graduates of Denver - Daniels's Master of Science in Business Analytics program land? Discover More!

Median Earnings after Graduation

USD 68,000 /- year

Graduation Rate

80.00 %

Recruiters

Strategus Deloitte PricewaterhouseCoopers (PwC) Ernst & Young (EY) KPMG

Prospective Job Roles

Data Scientist Data Engineer Analytics Manager Predictive Modeling Analyst Business Intelligence Engineer

Eligibility Criteria for Denver - Daniels's Master of Science in Business Analytics in Management program ?

Credential Evaluation Requirement

Mandatory English Proficiency Test

Mandatory GRE / GMAT Requirement

4 Year Bachelor’s Degree Requirement

Tuition Fees & Scholarship Opportunities!

Tuition Fees

USD 55320/- PER YEAR

Application Fee

USD N/A/-

Scholarship Opportunities upto

USD 6 Million

Upcoming Denver - Daniels Events

We will be back Soon with Upcoming Events

What makes Denver - Daniels's
Master of Science in Business Analytics Different!

STEM‐Designated Curriculum

Covers advanced analytics, machine learning, and data management, qualifying international students for up to 36 months of OPT.

Hands-On Learning

Real-world consulting projects with local organizations, capstone assignments, and case studies to apply tools like Python, R, SQL, and Tableau.

Experienced Faculty

Instructors combine academic research in data science with industry experience in finance, marketing analytics, and operations research.

Career Support & Placements

Dedicated career advisors, résumé workshops, mock interviews, and networking events. Over 90% of graduates find roles—often as data analysts, BI consultants, or analytics engineers—within six months.

Capstone “Analytics in Action”

Final-semester project where teams solve a high-impact data problem for a corporate partner, presenting insights to senior stakeholders.

Know More about the Denver - Daniels Master of Science in Business Analytics Program

The Master of Science in Business Analytics at the University of Denver’s Daniels College of Business equips students with expertise in data science, predictive modeling, and machine learning. The program emphasizes real-world applications, leveraging Denver’s business and tech ecosystem to prepare graduates for data-driven roles in various industries. ..... Read More

Duration

12 Months

Where do graduates of Denver - Daniels's Master of Science in Business Analytics program land? Discover More!

Median Earnings after Graduation

USD 68,000 /- year

Graduation Rate

80.00 %

Recruiters

Strategus Deloitte PricewaterhouseCoopers (PwC) Ernst & Young (EY) KPMG

Prospective Job Roles

Data Scientist Data Engineer Analytics Manager Predictive Modeling Analyst Business Intelligence Engineer

Eligibility Criteria for Denver - Daniels's Master of Science in Business Analytics in Management program ?

Credential Evaluation Requirement

Mandatory English Proficiency Test

Mandatory GRE / GMAT Requirement

4 Year Bachelor’s Degree Requirement

Tuition Fees & Scholarship Opportunities!

Tuition Fees

USD 55320/- PER YEAR

Application Fee

USD N/A/-

Scholarship Opportunities upto

USD 6 Million

Upcoming Denver - Daniels Events

We will be back Soon with Upcoming Events

Explore other Denver - Daniels programs

Denver MBA

Duration
21 MONTHS

Master of Accountancy

Duration
9 MONTHS

Master of Science in Accounting, Technology and Analytics

Duration
9 MONTHS

Master of Science in Applied Quantitative Finance

Duration
10 MONTHS

Master of Science in Management

Duration
10 MONTHS

Master of Science in Marketing

Duration
9 MONTHS

Master of Science in Real Estate and the Built Environment

Duration
12 MONTHS
View All

Explore similar Master of Science in Business Analytics programs

St. John's University - Daniels College of Business

Master of Science in Business Analytics

Duration
MONTHS
UC Irvine - Daniels College of Business

Master of Science in Business Analytics

Duration
MONTHS
George Washington University - Daniels College of Business

Master of Science in Business Analytics

Duration
MONTHS

Frequently Asked Questions

Get all your questions answered about Master of Science in Business Analytics by Denver - Daniels

Not strictly required. The typical incoming cohort has about 4–5 years of professional experience, but applicants with strong quantitative skills can be admitted with less experience.
Full-time students without prerequisite gaps finish in 9–12 months. If prerequisite courses (e.g., introductory statistics or programming) are needed, the timeline can extend to about 15 months.
Yes. The program is STEM-designated, so international graduates qualify for up to 36 months of post‐completion OPT. Proof of English proficiency (TOEFL or IELTS) is required if applicable.
Foundational coursework in college‐level statistics (e.g., regression, probability) and at least one introductory programming course (Python or R) is strongly recommended. Deficiency courses are available if needed.
Key courses include Statistical Modeling, Predictive Analytics, Database Management, Data Visualization, and Machine Learning for Business. Each student completes a capstone “Analytics in Action” project in partnership with a corporate sponsor.

Contact us

For any queries, please feel free to reach out to us!

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Email

daniels@du.edu

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Phone

++1 303-871-3416