Program Performance
The Department of Applied Data Science is deeply committed to continuous program assessment, ensuring that our curriculum remains both academically rigorous and highly relevant to the evolving needs of the industry. By aligning our core courses with the university's learning goals and industry demands, we strive to equip our students with the critical skills and knowledge required to thrive in the field of applied data science.
Mapping of ADS Program Learning Outcomes to University Learning Goals
This table provides a detailed mapping of San José State University's (SJSU) University Learning Goals to the Department of Applied Data Science’s Program Learning Outcomes (PLOs). Each University Learning Goal represents a broad educational objective the university seeks to achieve across all its programs. The table links these goals to specific PLOs within the ADS program, highlighting how the curriculum meets these overarching educational outcomes.
| University Learning Goals | ADS Program Learning Outcomes (Core Competencies) | ADS Program Learning Outcomes (Core Competencies) Mapped to Courses |
|---|---|---|
| Goal 1: Social and Global Responsibilities | ||
| An ability to consider the purpose and function of one’s degree program training within various local and/or global social contexts and to act intentionally, conscientiously and ethically with attention to diversity and inclusion. |
7 |
DATA 298B |
|
Goal 2: Specialized Knowledge |
||
| The depth of knowledge required for a degree as appropriate to the discipline |
1-7 |
DATA 245 |
|
Goal 3: Intellectual Skills |
||
| Fluency with specific theories, assumptions, foundational knowledge, analytical and interpretive protocols, tools and technologies appropriate to the discipline or field of study. |
4, 5 |
DATA 245 DATA 298B |
|
Goal 4: Integrative Knowledge and Skills |
||
| Mastery in each step of an investigative, creative or practical project (e.g. brainstorming, planning, formulating hypotheses or complex questions, designing, creating, completing and communicating), with integration and/or across disciplines. |
1, 2, 3 |
DATA 245 |
|
Goal 5: Applied Knowledge and Skills |
||
| An ability to apply theory, practice and problem solving to new materials, settings and problems. |
5, 6 |
DATA 298A DATA 298B |
Program Assessment
The following tables map specific Program Learning Outcomes (PLOs) to the courses within the MS in Data Analytics program, highlighting how each course contributes to achieving the program's educational objectives.
Assessment Table Spring 2025
| Courses | PLO 1 | PLO 2 | PLO 3 | PLO 4 | PLO 5 | PLO 6 | PLO 7 |
|---|---|---|---|---|---|---|---|
| DATA 245 |
|
X |
|
X |
|
|
|
| DATA 298A |
|
X |
|
|
|
X |
|
| DATA 298B |
X |
X |
X |
|
X |
X |
X |
Assessment Table Spring 2024
| Courses | PLO 1 | PLO 2 | PLO 3 | PLO 4 | PLO 5 | PLO 6 | PLO 7 |
|---|---|---|---|---|---|---|---|
| DATA 240 |
X |
X |
|
|
|
|
|
| DATA 245 |
|
X |
|
|
|
|
|
| DATA 270 |
|
|
|
X |
|
|
|
| DATA 298A |
|
X |
|
|
|
X |
|
| DATA 298B |
X |
X |
X |
|
X |
X |
X |
Course Assessment
Rubrics are part of course assessments that are completed each year. The following are examples demonstrating course assessment results.
CLO 1 - PLO 1
| Data Source | Indicator | Below Expectation | Meet Expectation | Exceed Expectation |
|---|---|---|---|---|
| Score: 0-79 |
Score: 80-89 |
Score: 90-100 |
||
| Project Report –Chapters 2, 3, and 5 |
Demonstrated sufficient knowledge to engage in the total lifecycle of data analytics projects |
Can’t complete the total project lifecycle |
Completed the total project lifecycle and delivered adequate project artifacts |
Completed the total project lifecycle and delivered quality project artifacts |
| 26 students |
|
0 Team (0 students) |
0 Teams (0 students) |
7 Teams (26 students) |
Annual Program Assessment Reports
An annual program report must be submitted for any SJSU degrees, certificates, or credential programs. Assessment reports are due on May 1st of each academic year. The report is organized into three sections designed to organize your annual assessment efforts and to inform a department’s Program Planning in three areas:
- Part A: The Big Picture
- Part B: What We Did This Year
- Part C: Keeping Track of the Changes (“Closing the Loop”)
