Student ID:__________________________ Student Name:_______________________ Advisor Name:_______________________ | Catalog: 2020-21 Catalog Program of Study: Data Analytics, BAS | |||
Data Analytics, BASThe Bachelor of Applied Science in Data Analytics provides graduates with the skills and knowledge needed for employment in the rapidly emerging field of data analytics, which comprises analyzing and interpreting the large datasets now available in a wide range of organizations and industries. Modern data analytics brings together tools and techniques from business, communication, graphic arts, information technology and statistics to collect, mine, interpret and represent large datasets to illustrate concepts and inform decisions. Learning OutcomesDegree recipients should be able to:
Entry RequirementsIndividuals must have:
Degree RequirementsCompletion of all required courses as shown on the worksheet for each corresponding concentration.
Application ProcessTo be considered for the Bachelor of Applied Science in Data Analytics, prospective students must submit the following:
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PROGRAM PREREQUISITES (35-41 CREDITS-GENERAL EDUCATION)Associate degree in Accounting, Business, Marketing, Computer Science or Information Systems, related field or an equivalent associate’s degree. Students may be admitted with 65 equivalent credits that represent the combinations of program prerequisites and other transferable college-level credits and other transferable college-level credits. Students, who don’t have an associate degree in a field listed above, should contact the BAS DA program manager for more information. Technology or math credits must not be more than 5 years old. | ||||
Course Name | CR | Term Taken | Grade | Gen Ed |
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ENGL& 101 - English Composition I with a C or better | 5 CR | |||
Excel Proficiency: | ||||
PROGRAM PREREQUISITES (ELECTIVES 25-30)Any BC or transferable college level credits not used for general education prerequisites (commonly fulfilled from courses in associate degree) 25-30 CR | ||||
GENERAL EDUCATION REQUIREMENTS (25 CREDITS) | ||||
Course Name | CR | Term Taken | Grade | Gen Ed |
CMST 340 - Advanced Communication in Business & Technology | 5 CR | |||
ECON 400 - Econometrics | 5 CR | |||
MATH 341 - Applied Statistical Methods I | 5 CR | |||
MATH 342 - Applied Statistical Methods II | 5 CR | |||
PHIL 375 - Ethical Issues in Information Technology | 5 CR | |||
ELECTIVES (25 CREDITS)Any BC or transferable college-level credits not used at general education prerequisites (commonly fulfilled from courses in associate degree) 25 CR | ||||
BAS DEGREE REQUIREMENTS (65 CREDITS) | ||||
Course Name | CR | Term Taken | Grade | Gen Ed |
BA 240 - Statistical Analysis | 5 CR | |||
BUSIT 103 - SQL Fundamentals | 5 CR | |||
DA 310 - Introduction to Analytics | 5 CR | |||
DA 320 - Data Acquisition and Management | 5 CR | |||
DA 410 - Multivariate Analysis | 5 CR | |||
DA 420 - Predictive Analytics | 5 CR | |||
DA 430 - Marketing Analytics | 5 CR | |||
DA 460 - Data Analysis with Software and Programming | 5 CR | |||
DA 485 - Data Analytics Capstone Project | 5 CR | |||
ISIT 330 - Business Intelligence Applications | 5 CR | |||
ISIT 334 - Data Visualization Tools & Techniques | 5 CR | |||
MKTG 262 - Measurement and Analytics | 5 CR | |||
PROG 108 - Introduction to Scripting | 5 CR | |||
TOTAL CREDITS: 180-181 | ||||
Notes:
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