University of Salford introduces Tinder-like app to matchmake students with courses

The University of Salford has introduced a Tinder-style app for clearing that will help match students up to their best suited courses.

According to the university the ‘Salford Clearing Match Maker’ app will offer essential, informative content about clearing in a playful and innovative way.

It has been developed by digital transformation company, Squiz mobile, and is be available on mobile, desktop and tablet.

Similar to Tinder, prospective students can swipe left or right when they are provided with personalised course recommendations based on their grades achieved, course and career of interest. When a ‘match’ is made more detailed information about the course becomes available with each added to a shortlist of possible courses.

John McCarthy, director of marketing and student recruitment at University of Salford, said the app made the often hectic clearing process more “student driven and much more interactive". He added that, as a result the whole process is more efficient because when students “telephone us they feel more informed about the course they are enrolling on".

Roger Warner, head of strategy at Squiz, said that teenagers' daily experience with using apps means it “makes sense for universities to offer an experience of clearing which echoes other popular services”. According to Warner the app also benefited the university because it meant that the institution could “quickly see which courses are being filled and where there is space available, as well as differentiating their clearing process and communication with students”.

The University of Salford has already had over 10,000 use the matchmaker to find courses, with site engagement up by 264 per cent. Prospective students have also been encouraged to share their ‘matches’ on social media through the app using #MatchMadeInSalford.

eHarmony have also adopted the Tinder match making model outside of dating with the creation of a recruitment service app which will use the model to match people with their best suited jobs based on an array of personal details.

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