1 Enrollment overview

Below is an overview of School of Information enrollment statistics since 2013. In general, there have been major and consistent increases in enrollment in the ISTA BS degree and the ESOC BA degree. The PhD programs and INFO MS program have all been increasing in enrollment steadily since their introduction. The two remaining programs, the LIS MA and the ISTA BA have both has fluctuations in enrollment, but are stable since 2013.

Below is a table projecting overall increases in enrollment for the programs where there is strong statistical support. It is worth noting that the LIS MA has been steadily increasing since the formation of the School of Information in 2015, although when the years prior are included there is no support for increases. Thus, it is not included in this table.
year ISTA BS ESOC BA INFO MS INFO PHD Total Enrollment Total Increase From 2020
2021 268 370 28 17 683 25
2022 294 425 34 18 771 113
2023 319 480 40 19 858 200
2024 345 535 46 20 946 288
2025 371 590 52 21 1034 376

Considering just the programs that have consistent increases

2 Per-major projections

In this section we present enrollment projects through 2025 for each program. Projects were made from fitting a simple linear model and then predicting for the future years. The straight lines represent the fit of the models, while the grey bands represent the 95% confidence intervals for the model and associated predictions.

2.1 ISTA BS

There has been a consistent increase in enrollment within the ISTA BS and thus our model predicts an increase of 26 students per year within the major. The statistical summary suggests a high level of confidence in this trend.

Over the next five years predicted enrollment is as follows.

year predicted enrollment
2021 268
2022 294
2023 319
2024 345
2025 371

2.2 ESOC BA

There has been a consistent increase in enrollment within the ESOC BA and thus our model predicts an increase of 55 students per year within the major. The statistical summary suggests a high level of confidence in this trend.

Over the next five years predicted enrollment is as follows.

year predicted enrollment
2021 370
2022 425
2023 480
2024 535
2025 590

2.3 INFO MS

There has been a consistent increase in enrollment within the INFO MS and thus our model predicts an increase of 6 students per year within the major. The statistical summary suggests a high level of confidence in this trend.

Over the next five years predicted enrollment is as follows.

year predicted enrollment
2021 28
2022 34
2023 40
2024 46
2025 52

2.4 INFO PhD

There have been small but consistent increases in enrollment within the INFO PhD program, and thus our model predicts an increase of 1 students per year within the major. The statistical summary suggests a high level of confidence in this trend.

Over the next five years predicted enrollment is as follows.

year predicted enrollment
2021 17
2022 18
2023 19
2024 20
2025 21

2.5 LIS MS

According to our model enrollment in the LIS MS degree has been flat over time. But, it is worth mentioning that there has been a consistent increase since 2016, which coincides with the name change of the program. Modeling just the data since 2015 indicates that the LIS MS degree has a predicted increase of 12 students per year. The model indicateds a high level of confidence in this increase when only the subset is considered.

Here is a figure with predictions when considering the full data.

Here is a figure with predictions when considering 2015 onward.

Over the next five years predicted enrollment is as follows if we believe the increase since 2015 are related to the name change.

year predicted enrollment
2021 211
2022 223
2023 234
2024 246
2025 258

2.6 ISTA BA

Enrollment in the ISTA BA has been lower relative to the ISTA BS. The enrollment has also been more variable and potentially cyclical. Thus, although our model predicts a small increase of 2 students per year within the major, the statistical summary suggests that increase should be viewed with caution.

Over the next five years predicted enrollment is as follows.

year predicted enrollment
2021 57
2022 59
2023 61
2024 63
2025 65