Business Analytics

The Master of Science in Business Analytics at the University of Colorado Denver is a comprehensive graduate program designed to equip students with the skills and knowledge necessary to excel in the rapidly evolving field of data analysis and decision-making. This program combines theoretical foundations with practical applications, enabling graduates to transform large volumes of complex data into actionable insights that drive strategic business growth. Students will learn to utilize advanced analytics techniques, including statistical modeling, machine learning, data mining, and predictive analytics, to solve real-world business problems across various industries such as healthcare, finance, marketing, and technology.

The curriculum emphasizes a hands-on approach, incorporating extensive use of modern analytical tools and programming languages such as R, Python, SQL, and Tableau. Students will develop proficiency in data visualization, data management, and business intelligence, preparing them to communicate findings effectively to both technical and non-technical audiences. The program also covers essential topics such as ethical considerations in data analytics, data governance, and privacy concerns, ensuring that graduates are well-rounded professionals capable of responsible data-driven decision-making.

Designed for working professionals and recent graduates alike, the program offers flexible scheduling options, including evening and online courses, to accommodate diverse needs. The faculty comprises experienced industry practitioners and academic experts, providing students with mentorship and industry insights that enhance their learning experience. Through collaborative projects, case studies, and internships, students gain practical experience that prepares them for immediate entry into the business analytics workforce.

Upon completion of the program, graduates will be prepared for roles such as data analyst, business intelligence analyst, data scientist, and analytic consultant. They will possess the analytical mindset and technical skills necessary to help organizations utilize data to improve operational efficiency, develop innovative products, and gain competitive advantages. The University of Colorado Denver’s Business Analytics program is committed to fostering a dynamic learning environment that encourages innovation, critical thinking, and continuous professional growth, making it an ideal choice for individuals seeking to advance their careers in the data-driven economy.

Business Analytics teaches you to use mathematical models to enhance decision-making capabilities in the workplace. This gives you an understanding of the more common types of modeling procedures—predictive modeling with big data, data analysis, forecasting, operations management and other advanced quantitative methods—so you learn to make decisions based on data.

Business Analytics Courses

The MS in Business Analytics degree requires successful completion of 30 semester hours (10 courses) and may include courses in subjects such as:

• Predictive Modeling with Big Data
• Statistics for Business Analytics
• Operations Management
• Project Management
• Decision Analysis
• Forecasting
• Supply Chain Management
• Marketing Research
• Computing for Business Analytics
• Simulation Modeling
• VBA for Business Analytics
• Business Analytics Practicum
• Special topics such as Large Scale Optimization Methods for Big Data

Practicum

The Business Analytics Practicum course is a leading-edge teaching approach to training students in real-world applications of quantitative methods. In the Practicum, students, under the direction of faculty, address a real-world problem proposed by an industry sponsor. ​

General Admissions Requirements

• Applicants must have an undergraduate degree, however it does not have to be a business degree.
  • Your complete academic records, including GPAs and previous coursework are considered.
  • Undergraduate degrees must be from regionally accredited four year colleges or universities.
• GMAT testing. The GMAT exam is a computer-adaptive test that consists of four sections: analytical writing assessment, integrative reasoning, quantitative and verbal. See the application packet for information.
• Work Experience. Relevant background and a history of increasing responsibility are viewed positively, but are not required for admission.
• International Students have additional English Language Proficiency requirements.

TEST SCORES: TOEFL, IELTS, OR PTE

​SCORE REQUIREMENTS:

TOEFL

Minimum TOEFL Score Accepted: 75 IBT / 537 PBT

IELTS

Minimum IELTS Score Accepted: 6.5

The TOEFL/IELTS requirement can be waived if an applicant has graduated from the ESL Academy. Information regarding other considerations for exemption, including country of citizenship/origin, and special circumstances can be found here. Please note that some graduate level programs will require a higher score on the TOEFL/IELTS and applicants should consult the department for additional details

PTE ACADEMIC

Minimum PTE Academic Score Accepted: 51

TThe Pearson Test of English (PTE Academic) is currently in a pilot review at the University of Colorado Denver. We will accept a 51 PTE Academic score with the following subscores:

The CU Denver Business School offers a variety of scholarships to help you finance your graduate degree. We offer scholarships based on need and academic accomplishment. Our scholarships are funded by alumni, donors, members of the Colorado business community, and the State of Colorado, to help you get the best education possible.

Graduate Scholarship Opportunities

ALL GRADUATE PROGRAMS

• 11-Month MBA Performance Scholarship*
• Business School Student Club Leaders*
• Consolidated Electrical Distributors (CED) Management Scholarship*
• Carolyn Lee Henderson Scholarship
• Dean’s Super Merit Scholarship*
• Excellence in Management Scholarship
• MBA in Health Administration*
• MS in Business Analytics Scholarship
• MS in Finance Fellows Scholarship
• MS in Information Systems Scholarship
• MS in International Business Scholarship
• MS in Tax Scholarship
• PhD in CSIS Scholarship*
• Robert Reynolds Study Abroad Scholarship*
• Schuman MBA Outstanding Scholarship
• Steve Golter Scholarship

The Business Analytics program at the University of Colorado Denver is designed to provide students with a comprehensive understanding of data analysis, statistical methods, and the strategic use of data in business decision-making. The program aims to equip students with the skills necessary to interpret complex data sets, develop predictive models, and utilize various analytical tools to solve real-world business problems. Students will learn to leverage data visualization techniques, apply machine learning algorithms, and understand database management systems to improve organizational performance. The curriculum typically includes courses in data mining, operations management, marketing analytics, financial analytics, and data management, ensuring a well-rounded education in contemporary analytics practices.

The program is suitable for students interested in careers such as data analyst, business analyst, data scientist, or operations analyst. It emphasizes practical, hands-on learning through projects, case studies, and collaboration with industry partners. The program may be offered at the graduate level, such as a Master of Science in Business Analytics, or as a certificate program for professionals looking to enhance their analytical skills.

Students benefit from the university’s strong connections with Denver’s growing business community, providing opportunities for internships, networking, and employment after graduation. The program faculty are experts in analytics, data science, and business intelligence, often bringing real-world experience into the classroom. The University of Colorado Denver’s location in a major urban center offers students access to a variety of tech companies, startups, and consulting firms that are actively seeking qualified business analysts.

Overall, the Business Analytics program at CU Denver aims to prepare students to become data-driven decision-makers who can support organizational success in a data-centric world. The curriculum evolves regularly to stay aligned with industry trends, ensuring graduates are well-prepared for the demands of the evolving analytics landscape.