{"id":6627,"date":"2026-01-07T16:06:39","date_gmt":"2026-01-08T00:06:39","guid":{"rendered":"https:\/\/www.bellevuecollege.edu\/cs\/?page_id=6627"},"modified":"2026-09-18T18:01:14","modified_gmt":"2026-09-19T01:01:14","slug":"sample-bscs-plans","status":"publish","type":"page","link":"https:\/\/www.bellevuecollege.edu\/cs\/sample-bscs-plans\/","title":{"rendered":"CS Course Planning"},"content":{"rendered":"\n
<\/div>\n\n\n\n

Projected Course Schedule<\/h1>\n\n\n\n

The projected schedule is subject to change at any time due to unplanned changes in instructor availability and\/or course demand. If you use this information for schedule and graduation planning, account for this risk by having backup plans and by taking required courses as soon as you can.<\/p>\n\n\n\n

\n
\n
\n

Fall <\/h2>\n\n\n\n
    \n
  • CS 101<\/li>\n\n\n\n
  • CS 209<\/li>\n\n\n\n
  • CS 210<\/li>\n\n\n\n
  • CS 211<\/li>\n\n\n\n
  • CS 300<\/li>\n\n\n\n
  • CS 331<\/li>\n\n\n\n
  • CS 481<\/li>\n\n\n\n
  • CS 310<\/li>\n\n\n\n
  • CS 460<\/li>\n\n\n\n
  • Additional CS Elective(s)<\/li>\n<\/ul>\n<\/div>\n\n\n\n
    \n

    Winter <\/h2>\n\n\n\n
      \n
    • CS 101<\/li>\n\n\n\n
    • CS 209<\/li>\n\n\n\n
    • CS 210<\/li>\n\n\n\n
    • CS 211<\/li>\n\n\n\n
    • CS 300<\/li>\n\n\n\n
    • CS 320<\/li>\n\n\n\n
    • CS 351<\/li>\n\n\n\n
    • CS 360<\/li>\n\n\n\n
    • CS 482<\/li>\n\n\n\n
    • Additional CS Elective(s)<\/li>\n\n\n\n
    • MATH 301<\/li>\n<\/ul>\n<\/div>\n\n\n\n
      \n

      Spring <\/h2>\n\n\n\n
        \n
      • CS 101<\/li>\n\n\n\n
      • CS 209<\/li>\n\n\n\n
      • CS 210<\/li>\n\n\n\n
      • CS 211<\/li>\n\n\n\n
      • CS 212<\/li>\n\n\n\n
      • CS 250<\/li>\n\n\n\n
      • MATH 270<\/li>\n\n\n\n
      • CS 310 (sometimes)<\/li>\n\n\n\n
      • CS 360<\/li>\n\n\n\n
      • CS 401<\/li>\n\n\n\n
      • CS 410<\/li>\n\n\n\n
      • CS 483<\/li>\n\n\n\n
      • CS 495<\/li>\n\n\n\n
      • Additional CS Elective(s)<\/li>\n<\/ul>\n<\/div>\n\n\n\n
        \n

        Summer <\/h2>\n\n\n\n
          \n
        • CS 210<\/li>\n\n\n\n
        • CS 211<\/li>\n<\/ul>\n\n\n\n

          No upper-division CS courses (300- and 400-level) are offered in summer quarter<\/p>\n<\/div>\n<\/div>\n<\/div><\/div>\n\n\n\n

          <\/div>\n\n\n\n

          Sample Plan<\/h1>\n\n\n\n

          This sample plan can give you an idea of what your time in the BS in Computer Science program might look like. Your own plan may look different depending on your starting English and math placement, the college credits you have already earned, how you progress through your courses, and the pace that works best for you.<\/p>\n\n\n\n

          The following plan is a full-time 2-year plan <\/strong>that assumes a student has successfully completed a majority of the general education requirements such as English, calculus, humanities, social science, diversity, and a CHEM\/BIOL with lab course.<\/p>\n\n\n\n

          \n

          (Regular)<\/em><\/sup> = Offered Fall, Winter, Spring
          (Full Year) <\/em><\/sup>= Offered Fall, Winter, Spring, Summer
          Courses are 5-credits unless noted otherwise.<\/p>\n<\/div>\n\n\n\n

          <\/div>\n\n\n\n

          Year 1<\/h2>\n\n\n\n
          \n
          \n
          \n

          Fall<\/h3>
          \n

          CS 300: Data Structures (Fall, Winter)<\/strong><\/sup><\/p>\n\n\n\n

          CS 331: Database Systems (Fall)<\/strong><\/sup><\/p>\n\n\n\n

          MATH 208: Linear Algebra (Full Year)<\/strong><\/sup><\/p>\n<\/div><\/div>\n<\/div>\n\n\n\n

          \n

          Winter<\/h3>
          \n

          CS 320: Programming Languages (Winter)<\/strong><\/sup><\/p>\n\n\n\n

          CS 351: Computer Architecture I (Winter)<\/strong><\/sup><\/p>\n\n\n\n

          MATH 301: Discrete Math (Winter)<\/sup><\/strong><\/p>\n<\/div><\/div>\n<\/div>\n\n\n\n

          \n

          Spring<\/h3>
          \n

          CS 401: Algorithms (Spring)<\/strong><\/sup><\/p>\n\n\n\n

          CS 410: Software Engineering (Spring)<\/strong><\/sup><\/p>\n\n\n\n

          MATH 270: Probability and Statistical Models <\/sup><\/em>(Spring)<\/strong><\/sup><\/p>\n<\/div><\/div>\n<\/div>\n<\/div>\n<\/div><\/div>\n\n\n\n

          <\/div>\n\n\n\n

          Year 2 (Standard or Data Science Emphasis)<\/h2>\n\n\n\n

          Students can choose to follow the requirements for the Standard or Data Science Option of the degree. <\/p>\n\n\n\n

          \n

          Standard Option<\/h3>\n\n\n\n
          \n
          \n

          Fall<\/h4>
          \n

          CS 481: Senior Capstone I <\/em>(3cr; Fall)<\/strong><\/sup><\/p>\n\n\n\n

          CS Elective (Regular)<\/strong><\/sup><\/p>\n\n\n\n

          PHYS 121: Engineering Physics I (6cr; Full Year)<\/strong><\/sup><\/p>\n<\/div><\/div>\n<\/div>\n\n\n\n

          \n

          Winter<\/h4>
          \n

          CS 482: Senior Capstone II <\/em>(4cr; Winter)<\/strong><\/sup><\/p>\n\n\n\n

          CS 360: Operating Systems <\/em>(Winter, Spring)<\/strong><\/sup><\/p>\n\n\n\n

          PHYS 122: Engineering Physics II (6cr; Full Year)<\/strong><\/sup><\/p>\n<\/div><\/div>\n<\/div>\n\n\n\n

          \n

          Spring<\/h4>
          \n

          CS 483: Senior Capstone III <\/strong><\/em>(3cr; Spring)<\/sup><\/strong><\/p>\n\n\n\n

          CS Elective <\/em>(Regular)<\/strong><\/sup><\/p>\n\n\n\n

          CS Elective (Regular)<\/strong><\/sup><\/p>\n\n\n\n

          Free Elective – Enough credits to reach 180-credits (Credit Varies; Full Year)<\/strong><\/sup><\/p>\n<\/div><\/div>\n<\/div>\n<\/div>\n\n\n\n

          \n\n\n\n

          Data Science Option<\/h3>\n\n\n\n

          Instead of completing CS 481, CS 482, and CS 483 and three CS Electives chosen by the student (total of 6 courses for 25 credits), students declared in the Data Science Emphasis complete CS 310, CS 460, CS 495, and two CS Data Science Electives (total of 5 courses for 25 credits).<\/p>\n\n\n\n

          \n
          \n

          Fall<\/h4>
          \n

          CS 310: Python for Data Science<\/mark>(Fall, Spring)<\/strong><\/sup><\/p>\n\n\n\n

          CS 460: Machine Learning<\/mark>(Fall)<\/strong><\/sup><\/p>\n\n\n\n

          PHYS 121: Engineering Physics I (6cr; Full Year)<\/strong><\/sup><\/p>\n<\/div><\/div>\n<\/div>\n\n\n\n

          \n

          Winter<\/h4>
          \n

          CS Data Science Elective<\/mark>(Regular)<\/strong><\/sup><\/p>\n\n\n\n

          CS 360: Operating Systems (Winter, Spring)<\/strong><\/sup><\/p>\n\n\n\n

          PHYS 122: Engineering Physics II (6cr; Full Year)<\/strong><\/sup><\/p>\n<\/div><\/div>\n<\/div>\n\n\n\n

          \n

          Spring<\/h4>
          \n

          CS 495: Data Science Project Practicum<\/mark>(Spring)<\/strong><\/sup><\/p>\n\n\n\n

          CS Data Science Elective<\/mark>(Regular)<\/strong><\/sup><\/p>\n\n\n\n

          Free Elective – Enough credits to reach 180-credits (Credit Varies; Full Year)<\/strong><\/sup><\/p>\n<\/div><\/div>\n<\/div>\n<\/div>\n<\/div><\/div>\n\n\n\n

          <\/div>\n\n\n\n

          Full-Time vs. Part-Time Enrollment<\/h1>\n\n\n\n

          Most students enrolled in the BS in Computer Science program take courses on a full-time basis with 3 courses per quarter. However, students can take courses at whatever pace they’d like to, and some may choose to take courses on a part-time basis with 2 courses per quarter or sometimes even 1 course per quarter. This is especially common amongst students who work full-time.  <\/p>\n\n\n\n

          Students who take courses full-time will typically finish the degree requirements within 2 years. Part-time students will typically extend their time in the program from 2 years to 3 or 4 years. <\/p>\n\n\n\n

          Note: Certain population of students, including but not limited to international students, students receiving financial aid or veterans benefits, student employees, and student athletes may be required to enroll in a minimum number of credits per quarter to maintain their status and\/or funding. Please confirm this with the appropriate offices each quarter.  <\/p>\n\n\n\n

          <\/div>\n\n\n\n

          Modalities <\/h1>\n\n\n\n
          <\/div>\n\n\n\n

          The CS program is designed as a daytime program, with most courses scheduled between 10:30 AM and 3:30 PM. Most courses are hybrid with in-person class sessions, which typically means coming to campus once or twice a week. Some courses may instead have scheduled online class sessions. <\/p>\n\n\n\n

          Occasionally, a course may be offered fully online and asynchronous, meaning there are no scheduled class meetings. An occasional course may also be offered in the evening. These options are typically CS electives rather than core courses required of all CS students. A certain number of CS Elective credits are required for the degree, but students choose which elective courses they take from the available options. For example, CS 310: Python for Data Science is a CS elective that is often offered online or in the evening. A student could choose CS 310 to fulfill part of their CS elective requirement, but not every student is required to take CS 310. <\/p>\n\n\n\n

          While some online and evening options are available, it is not possible to complete the entire program using only online or evening courses. Students should plan to attend daytime classes on campus throughout the program. <\/p>\n\n\n\n

          Using the Fall 2026 course schedule as an example:<\/p>\n\n\n\n