Report Summary

  • 37

    Performance

    Renders faster than
    56% of other websites

  • 100

    Accessibility

    Visual factors better than
    that of 97% of websites

  • 83

    Best Practices

    More advanced features
    available than in
    55% of websites

  • 100

    SEO

    Google-friendlier than
    94% of websites

mastersnursing.marquette.edu

Direct Entry MSN for Non-Nurses - Marquette University

Page Load Speed

956 ms in total

First Response

61 ms

Resources Loaded

394 ms

Page Rendered

501 ms

mastersnursing.marquette.edu screenshot

About Website

Welcome to mastersnursing.marquette.edu homepage info - get ready to check Mastersnursing Marquette best content for United States right away, or after learning these important things about mastersnursing.marquette.edu

Marquette University offers a hybrid direct entry MSN program in Milwaukee and Pleasant Prairie, and an Extended Option program in Pleasant Prairie.

Visit mastersnursing.marquette.edu

Key Findings

We analyzed Mastersnursing.marquette.edu page load time and found that the first response time was 61 ms and then it took 895 ms to load all DOM resources and completely render a web page. This is quite a good result, as only 20% of websites can load faster.

Performance Metrics

mastersnursing.marquette.edu performance score

37

Measured Metrics

name

value

score

weighting

FCP (First Contentful Paint)

Value1.7 s

93/100

10%

LCP (Largest Contentful Paint)

Value4.7 s

33/100

25%

SI (Speed Index)

Value6.3 s

42/100

10%

TBT (Total Blocking Time)

Value4,140 ms

1/100

30%

CLS (Cumulative Layout Shift)

Value0.017

100/100

15%

TTI (Time to Interactive)

Value19.4 s

2/100

10%

Network Requests Diagram

mastersnursing.marquette.edu

61 ms

mastersnursing.marquette.edu

69 ms

style.min.css

33 ms

cover.css

32 ms

style.min.css

36 ms

Our browser made a total of 70 requests to load all elements on the main page. We found that 90% of them (63 requests) were addressed to the original Mastersnursing.marquette.edu, 9% (6 requests) were made to Res.cloudinary.com and 1% (1 request) were made to Googletagmanager.com. The less responsive or slowest element that took the longest time to load (192 ms) relates to the external source Res.cloudinary.com.

Page Optimization Overview & Recommendations

Page size can be reduced by 100.5 kB (10%)

Content Size

975.8 kB

After Optimization

875.3 kB

In fact, the total size of Mastersnursing.marquette.edu main page is 975.8 kB. This result falls beyond the top 1M of websites and identifies a large and not optimized web page that may take ages to load. 40% of websites need less resources to load. Javascripts take 824.2 kB which makes up the majority of the site volume.

HTML Optimization

-81%

Potential reduce by 99.7 kB

  • Original 123.5 kB
  • After minification 123.4 kB
  • After compression 23.8 kB

HTML content can be minified and compressed by a website’s server. The most efficient way is to compress content using GZIP which reduces data amount travelling through the network between server and browser. HTML code on this page is well minified. It is highly recommended that content of this web page should be compressed using GZIP, as it can save up to 99.7 kB or 81% of the original size.

JavaScript Optimization

-0%

Potential reduce by 594 B

  • Original 824.2 kB
  • After minification 824.2 kB
  • After compression 823.6 kB

It’s better to minify JavaScript in order to improve website performance. The diagram shows the current total size of all JavaScript files against the prospective JavaScript size after its minification and compression. This website has mostly compressed JavaScripts.

CSS Optimization

-1%

Potential reduce by 287 B

  • Original 28.1 kB
  • After minification 28.1 kB
  • After compression 27.9 kB

CSS files minification is very important to reduce a web page rendering time. The faster CSS files can load, the earlier a page can be rendered. Mastersnursing.marquette.edu has all CSS files already compressed.

Requests Breakdown

Number of requests can be reduced by 60 (88%)

Requests Now

68

After Optimization

8

The browser has sent 68 CSS, Javascripts, AJAX and image requests in order to completely render the main page of Mastersnursing Marquette. We recommend that multiple CSS and JavaScript files should be merged into one by each type, as it can help reduce assets requests from 50 to 1 for JavaScripts and from 12 to 1 for CSS and as a result speed up the page load time.

Accessibility Review

mastersnursing.marquette.edu accessibility score

100

Accessibility Issues

Best Practices

mastersnursing.marquette.edu best practices score

83

Areas of Improvement

Trust and Safety

Impact

Issue

High

Does not use HTTPS

Low

Ensure CSP is effective against XSS attacks

General

Impact

Issue

Low

Detected JavaScript libraries

High

Browser errors were logged to the console

High

Missing source maps for large first-party JavaScript

SEO Factors

mastersnursing.marquette.edu SEO score

100

Search Engine Optimization Advices

Mobile Friendly

Make sure your pages are mobile friendly so users don’t have to pinch or zoom in order to read the content pages. [Learn more](https://developers.google.com/search/mobile-sites/).

Impact

Issue

High

Document uses legible font sizes

Language and Encoding

  • Language Detected

    EN

  • Language Claimed

    EN

  • Encoding

    UTF-8

Language claimed in HTML meta tag should match the language actually used on the web page. Otherwise Mastersnursing.marquette.edu can be misinterpreted by Google and other search engines. Our service has detected that English is used on the page, and it matches the claimed language. Our system also found out that Mastersnursing.marquette.edu main page’s claimed encoding is utf-8. Use of this encoding format is the best practice as the main page visitors from all over the world won’t have any issues with symbol transcription.

Social Sharing Optimization

Open Graph data is detected on the main page of Mastersnursing Marquette. This is the best way to make the web page social media friendly. Here is how it looks like on Facebook: