Student ID:__________________________ Student Name:_______________________ Advisor Name:_______________________ Catalog: 2020-21 Catalog Program of Study: Data Analytics, BAS

Data Analytics, BAS

The 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 Outcomes

Degree recipients should be able to:

  • Use technical tools and statistical knowledge to answer questions using data
  • Plan and organize multiple projects to meet deadlines
  • Apply data analytics within business contexts, in accordance with best practices, laws and regulations, and ethics
  • Communicate effectively in multiple contexts and a variety of formats

Entry Requirements

Individuals must have:

  • Completion of the 35-41 credits of the program prerequisites or equivalent credits that represent the combination of program admission required courses and other transferable college-level credits
  • A minimum grade of “C” (2.0 GPA) is required for all Math and English prerequisite courses
  • Cumulative GPA of 2.0 in all college courses
  • Level one Excel proficiency

Degree Requirements

Completion of all required courses as shown on the worksheet for each corresponding concentration.
In addition to eligibility requirements, students must also achieve the following:

  • Complete general education requirements and BAS Degree Requirements with a grade of C or better.
  • A minimum cumulative GPA of 2.0 for all coursework taken at BC and the courses applied to the degree, including credits transferred from other colleges
  • At least 45 quarter credits for the degree must be completed in residence at BC, of which 30 credits must be upper-division
  • Courses may be subject to minimum grade requirements and prerequisites. Check online at www.bellevuecollege.edu/classes/all.

Application Process

To be considered for the Bachelor of Applied Science in Data Analytics, prospective students must submit the following:

  • Completed general Bellevue College admission form
  • Nonrefundable admissions and placement fee of $55
  • Completed Bachelor of Applied Science application form.
  • Nonrefundable application fee of $75
  • Official transcripts from regionally accredited college(s), demonstrating completion of an appropriate associates degree or equivalent credits, and the prerequisite courses, with a GPA of 2.0 or higher

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 NameCRTerm TakenGradeGen Ed
ENGL& 101 - English Composition I with a C or better 5 CR
  • ENGL 201 or ENGL& 235 or ENGL 271 with a C or better 5 CR
  • MATH 138 or MATH& 141 or MATH& 151 or higher with a C or better 5 CR
  • Humanities from AAS-DTA transfer list 5 CR
  • Social Science from AAS-DTA transfer list 5 CR
  • Natural Science from AAS-DTA transfer list 5 CR
  • Natural Science Lab-based course from AAS-DTA transfer list 5-6 CR
  • Excel Proficiency:

  • Challenge test or BTS 165 or CS 250 
  • 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 NameCRTerm TakenGradeGen 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 NameCRTerm TakenGradeGen 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: