{"id":15821,"date":"2022-08-30T15:19:37","date_gmt":"2022-08-30T22:19:37","guid":{"rendered":"https:\/\/wou.edu\/cs\/?page_id=15821"},"modified":"2022-09-22T13:40:12","modified_gmt":"2022-09-22T20:40:12","slug":"bs-data-analytics","status":"publish","type":"page","link":"https:\/\/wou.edu\/cs\/degrees-programs\/bs-data-analytics\/","title":{"rendered":"BS Data Analytics"},"content":{"rendered":"

[et_pb_section fb_built=”1″ admin_label=”section” _builder_version=”4.16″ global_colors_info=”{}”][et_pb_row admin_label=”row” _builder_version=”4.16″ background_size=”initial” background_position=”top_left” background_repeat=”repeat” global_colors_info=”{}”][et_pb_column type=”4_4″ _builder_version=”4.16″ custom_padding=”|||” global_colors_info=”{}” custom_padding__hover=”|||”][et_pb_text admin_label=”Text” _builder_version=”4.16″ background_size=”initial” background_position=”top_left” background_repeat=”repeat” global_colors_info=”{}”]<\/p>\n

Mission<\/h2>\n

The Data Analytics program prepares students to thrive in the constantly evolving field of working with big data. The field is interdisciplinary by nature and is built on a foundation of Mathematics, Computer Science, Information Systems and Data Analytics courses. This program emphasizes the applied practice of data analytics techniques for solving problems in the real world.<\/p>\n

Learning Outcomes<\/h2>\n
    \n
  1. Use relevant technology for the analysis of large, complex, or messy data sets to design, implement, and evaluate analytics-based solutions.<\/li>\n
  2. Use quantitative information in connection with the argument or purpose of the work, presents it in an effective format, and explicates it with consistently high quality.<\/li>\n
  3. Collect, analyze and assess evidence to reach informed conclusions and judgments.<\/li>\n<\/ol>\n

    To enter the Data Analytics program, students should have a minimum of MTH 111 equivalency.<\/p>\n

    More Information<\/h2>\n