Foundations of Data Structures and Algorithms

If you choose this pathway, you must complete three courses in the Foundations of Data Structures and Algorithms specialization. 

Two-Course Preparation Option (non-credit)

You must understand the concepts covered in the following two courses taught by Dr. Sriram Sankaranarayanan to succeed in the three-course MS-CS pathway below. We highly recommend completing the following two preparation courses in the non-credit experience before starting the three-course MS-CS pathway below; they are a great option to refresh your skills and ensure you're ready for the pathway.

Optional: Complete these courses in the non-credit experience:

• Non-credit version of Algorithms for Searching, Sorting, and Indexing
• Non-credit version of Trees and Graphs: Basics

You CANNOT apply credit from the above courses toward MS-CS graduation requirements, so we do NOT recommend taking them in the for-credit experience. See the Online MS-CS Student Handbook for details.

Three-Course MS-CS Pathway (3 credits)

You may complete the three courses below from the Foundations of Data Structures and Algorithms specialization as a pathway to MS-CS degree admission. You must earn a B or better in the for-credit experience for each course to earn admission.

Complete these three courses in the for-credit experience:

• CSCA 5414: Dynamic Programming, Greedy Algorithms – Cross-listed with DTSA 5503
• CSCA 5424: Approximation Algorithms and Linear Programming – In Development
• CSCA 5454: Advanced Data Structures, RSA and Quantum Algorithms – In Development

Note that you do NOT need to complete all five courses within this specialization to earn admission to the Online MS-CS degree. However, you must complete all five courses to earn the optional (non-credit) specialization completion certificate from Coursera.