The Bachelor of Business Administration in Business Analytics prepares students for a career in data gathering, data cleansing, data analysis and data visualization in support of business decisions. The BBA in business analytics includes coursework in quantitative decision making, data mining and visualization, big data, and incorporates multiple software tools in demand by the industry.
In an increasingly data driven world, the data analyst has become an integral member of the business leadership team. Our students have held internships with businesses such as Alpine Bank, where they work with fraud detection teams, and Quality Health Networks, where they work on data aggregation in a medical records environment.
CISB 205: Advanced Business Software
ENGL 111: English Composition I-GTCO1
MATH 113: College Algebra-GTMA1
Essential Learning - Social and Behavioral Sciences
Essential Learning - Fine Arts
ENGL 112: English Composition II-GTCO2
CISB/STAT 241: Introduction to Business Analysis
CISB 210: Fundamentals of Information Systems
KINE 100: Health and Wellness
KINA Activity
Essential Learning - Natural Science with Lab
ACCT 201: Principles of Financial Accounting
ECON 201: Principles of Macroeconomics-GTSS1
BUGB 211: Business Communications
BUGB 231: Survey of Business Law
Essential Learning - History
ACCT 202: Principles of Managerial Accounting
ECON 202: Principles of Microeconomics-GTSS1
MANG 201: Principles of Management
ESSL 290: Maverick Milestone
ESSL 200: Essential Speech
Essential Learning - Humanities
MARK 231: Principles of Marketing
CISB 305: Solving Problems Using Spreadsheets
CISB 341: Quantitative Decision Making
Essential Learning - Natural Science
HRMA 371: Human Resource Management
FINA 301: Managerial Finance
MANG 301: Organizational Behavior
CISB 306: Solving Problems Using Databases
General Elective
BUGB 440: Business Ethics
CISB 342: Data Mining and Visualization
CISB 343: Big Data Analytics
MANG 471: Operations Management
ECON 415: Econometrics
MANG 491: Business Strategy
General Electives
Admission Requirements | |
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Academic Entry Requirements | Submit a transcript in English from the last (or current) high school/secondary school attended.
For admission review, an official or unofficial transcript may be submitted.
At the time of enrollment, a final and official transcript must be submitted.
An applicant with college or university classes should refer to the requirements for Transfer Students. Official high school transcripts must be submitted by transfer students only if less than 24 U.S. equivalent credit hours of college-level coursework have been completed.
High-achieving students with a U.S. equivalent GPA of 3.0 or higher qualify for the CMU International Student Merit Scholarship, valued at $4,500 per semester/$9,000 per year.
Official transcripts may be emailed directly from the secondary/high school to internationaladmissions@coloradomesa.edu.
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Funding Options | |
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Domestic Funding Options | Applicants must show proof of funds to cover at least the estimated expenses to both live and study in the U.S. for one full academic year. Please submit proof of funding with a valid bank statement(s). If an applicant has more than one source of funding, an official bank statement for each person/source must be submitted. A financial bank statement is only "official" if it is on organization letterhead with the amount clearly displayed. Other or additional documentation may be accepted and reviewed on a case-by-case basis.
Expenses will vary based on credit hour enrollment, living arrangements, major, marital status and lifestyle. Applicants who are married or that have dependents must submit an additional $5,000 for a spouse and $4,000 per child.
Students who qualify for the International Student Merit Scholarship (see information under International Student Admission Requirements), may deduct that amount from the total proof of funding requirement. |
Language Requirement | |
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IELTS Score (Minimum) | 6 |
TOEFL-IBT Score (Minimum) | 70 |
These jobs offer good pay and interesting work that is always fluctuating and evolving as data is being collected at unprecedented rates. Current projections show a shortage of 1.5 million data workers in the U.S. job market.