Bachelor of Applied Science Degree Data Analytics

Program Updated: The requirements for this program have been updated for 2017 – 2018.
Please review the changes and consult with your adviser or program manager if you have questions.

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.

This degree completion program is designed for individuals with two-year degrees in accounting, business, computer science, database, or related fields, or equivalent credits. The first 90 credits of the degree are fulfilled by entrance prerequisites.

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

Program Requirements

Completion Worksheet

Download the completion worksheet for this degree [PDF]

Program Requirements


Course # Course Name Credit Hrs.
Associate degree in Accounting, Business, Marketing, Information Systems or Computer Science, or 90 equivalent credits that represent the combination of program admission required courses and other transferable college-level credits 90
ENGL& 101 English Composition (5 Cr.) 5
MATH 138/ MATH& 141 College Algebra for Business & Social Science/ Precalculus I, or equivalent 5
Humanities course from the AAS-DTA list 5
Social Science course from the AAS-DTA list 5
Natural Science from the AAS-DTA list (choose two different subjects, and at least five credits must be in physical, biological or Earth sciences. Shall include at least one laboratory course) 10-11
Excel proficiency (BTS 165 or CS 250 or challenge test)

General Education Requirements

Course # Course Name Credit Hrs.
Met in Baccalaureate 35-45
CMST 340 Advanced Communication in Business & Technology 5
ECON 400 Econometrics 5
ENGL& 235 Technical Writing 5
BUS& 101
International Business – OR –
Introduction to Business – OR –
SQL Fundamentals
MATH 341 Applied Statistical Methods I 5
MATH 342 Applied Statistical Methods II 5
PHIL 375 Ethics in Information Technology 5
Humanities or Social Science if needed 5-10

Core Program Requirements

Course # Course Name Credit Hrs.
BA 240 Statistical Analysis 5
DA 310 Introduction to Analytics 5
DA 320 Data Acquisition and Management 5
DA 410 Multivariate Analytics 5
DA 420 Predictive Analytics 5
DA 430 Marketing Analytics 5
DA 460 Data Analysis with Software Programming 5
DA 485 Capstone Project 5
ISIT 330 Business Intelligence Applications 5
ISIT 334 Data Visualization 5
ISIT 434 Web Analytics 5

Grand Total: 180

Entry Requirements

Individuals must have:

  • An associate degree in Accounting, Business, Marketing, Information Systems or Computer Science, or 90 equivalent credits that represent the combination of program admission required courses and other transferable college-level credits
  • Cumulative GPA of 2.0 in all college courses
  • At least 30 credits of general education requirements must have been completed as part of the associate’s degree (see prerequisites)
  • Level one Excel proficiency

Degree Requirements

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

  • Complete 90 quarter credits in the general program and concentration 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.

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.
  • Non-refundable 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

Professional or technical program offerings and course requirements listed in this website may be altered by the college to reflect the needs of industry, student interests and availability of resources.

This website is designed as a tool to assist in making degree selection decisions, but may not be up-to-date in all instances. Please review worksheets with an advisor to ensure that you receive the most up-to-date information.

Gainful Employment information for many programs is available on the Public Disclosure website.

Last Updated October 5, 2017