Requirements for Graduation
University Graduation Requirements
Students must complete all residency, curriculum, unit, GPA and culminating experience requirements as outlined in the section of the .
MS - Applied Data Intelligence Graduation Requirements
This program consists of 30 semester units of 200-level courses with a cumulative GPA of 3.0 or better. The program has developed two specializations: Specialization in Analytics Technologies and Specialization in Data Engineering. These specializations will be offered according to industry trends, student demands and resource availability.
Graduation Writing Assessment Requirement
At 无忧短视频, students must pass the .
Culminating Experience (Plan A or Plan B)
All students must complete one of the following culminating experience options as part of their 30-unit program requirement.
Plan A (Thesis):
Students opting to complete a master鈥檚 thesis will take the and as a two-course sequence. The student is responsible for securing the commitment of a full-time tenured or tenure-track faculty member of the Applied Data Science Department who agrees to serve as the thesis committee chair. The student must also secure the commitments of two additional university faculty members, one of whom must be a full-time tenured or tenure-track faculty member of the Applied Data Science Department, to serve as the student鈥檚 thesis committee. The student must write a thesis proposal and have it approved by the thesis committee and pass the course before enrolling in . The thesis must meet university requirements as stipulated in this catalog and in the . It will be written under the guidance of the candidate鈥檚 thesis committee chair with the assistance of the thesis committee.
Plan B (Project):
The graduate project is a research or development effort performed by a team of students on a topic chosen by mutual agreement between an advisor and the team. The choice of project topic must also be approved by the instructor of DATA 298A. DATA 298A is the first part of the master鈥檚 project in which students develop a comprehensive plan and preliminary design of a data analytics project. DATA 298B is the second part of the master鈥檚 project course in which each student completes an in-depth written project to achieve the program outcomes and satisfy the program鈥檚 culminating experience requirement.
Master鈥檚 Requirements (30 units)
Core Courses (15 units)
- DATA 220 - Advanced Mathematical Methods for Data Intelligence 3 unit(s)
- DATA 228 - Big Data Technologies and Applications for Data Intelligence 3 unit(s)
- DATA 230 - Data Intelligence and Visualization 3 unit(s)
- DATA 245 - Machine Learning Technologies 3 unit(s) (GWAR)
- DATA 255 - Deep Learning Technologies 3 unit(s)
Elective Courses (9 units)
Complete three courses from one specialization:
Analytics Technologies
- DATA 225 - Database Systems and Management for Data Intelligence 3 unit(s)
- DATA 240 - Data Mining Techniques and Applications for Data Intelligence 3 unit(s)
- DATA 265 - Large Language Model Applications 3 unit(s)
Data Engineering
- DATA 226 - Data Warehouse and Pipeline Development 3 unit(s)
- DATA 236 - Distributed Systems for Data Engineering 3 unit(s)
- DATA 266 - Generative Models Applications 3 unit(s)
Culminating Experience (6 units)
Plan A (Thesis) (6 units)
- DATA 299A - MSADI Thesis I 3 unit(s)
- DATA 299B - MSADI Thesis II 3 unit(s)
Plan B (Project) (6 units)
- DATA 298A - MSADI Project I 3 unit(s)
- DATA 298B - MSADI Project II 3 unit(s)
Total Units Required (30 units)
Upon completion of the degree requirements, the student must have achieved minimum candidacy and 无忧短视频 Cumulative grade point averages of 3.000 in order to graduate.
For course inventory and descriptions please refer to the .
