MSIT3200
PRINCIPLES OF DIGI PRODUCT DEV
- Department
- Master of Science Info. Tech.
- Terms offered
- 3
- Data refreshed
- Jun 27, 2026
Description
Students dive into the foundational principles and methodologies essential for creating successful digital products. Throughout the course, students explore key concepts such as user-centered design, agile development, and product management techniques. By understanding the needs and preferences of users, students learn to conceptualize, design, and iterate digital products that meet market demands and exceed user expectations. Additionally, students gain insight into the importance of market research, product positioning, and competitive analysis in driving product success.
Syllabi
Sign in with your @clarku.edu email to view syllabi.
Offering history & forecast 2025–2026
| Year | Fall | Spring | Summer | Intersession |
|---|---|---|---|---|
| 2030 | 2030 Fall: not enough history to forecast. | 2030 Spring: not enough history to forecast. | 2030 Summer: 7% chance, medium confidence. Offered in 0 of 9 summer terms since 2018. | 2030 Intersession: 8% chance, medium confidence. Offered in 0 of 6 intersession terms since 2020. |
| 2029 | 2029 Fall: not enough history to forecast. | 2029 Spring: not enough history to forecast. | 2029 Summer: 6% chance, medium confidence. Offered in 0 of 10 summer terms since 2017. | 2029 Intersession: 7% chance, medium confidence. Offered in 0 of 7 intersession terms since 2017. |
| 2028 | 2028 Fall: not enough history to forecast. | 2028 Spring: not enough history to forecast. | 2028 Summer: 5% chance, medium confidence. Offered in 0 of 11 summer terms since 2016. | 2028 Intersession: 7% chance, medium confidence. Offered in 0 of 7 intersession terms since 2017. |
| 2027 | 2027 Fall: not enough history to forecast. | 2027 Spring: not enough history to forecast. | 2027 Summer: 5% chance, high confidence. Offered in 0 of 12 summer terms since 2015. | 2027 Intersession: 6% chance, medium confidence. Offered in 0 of 7 intersession terms since 2017. |
| 2026 | 1 section | 1 section | Not offered | No data for this term |
| 2025 | 1 section | Not offered | Not offered | Not offered |
Future estimates combine recent offering frequency with detected multi-year cycles. Hover a cell for confidence and evidence; low-confidence estimates are marked with ~.
Meeting times
Most recent first- Tue, 6:30 PM–9:30 PM JC206 20262025
- Tue, 2:50 PM–5:50 PM Sackler Science Center S321 2026
| Term | Professor | Type | Credits | Enrollment | CRN |
|---|---|---|---|---|---|
| Fall 2026 | Lilo K. Altali | Lecture | 1 | 3 of 30 enrolled | 24052 |
| Spring 2026 | Lilo K. Altali | Lecture | 1 | 15 of 30 enrolled | 34835 |
| Fall 2025 | Lilo K. Altali | Lecture | 1 | 13 of 30 enrolled | 24052 |