Lantern Institute provides graduates of STEM fields fast-tracked training to transition them into a fulfilling career in new emerging fields such as Data Science and Mathematical Finance. Our programs are unconventional, employing coaches who actively work in industry to teach our students the skills currently demanded by the market. To enroll, qualified applicants only pay a refundable deposit, which is returned to them when they secure employment. Upon securing an employment, your program fee would be covered by a portion of your salary. For more information attend one of our info sessions.
Our programs teach graduate in-demand skills that significantly increase their employability in Toronto's burgeoning IT and financial services industries. We currently offer a four-month comprehensive Data Science & Mathematical Finance program, as well as few short courses on widely used software such as Python, Java, data science tools and excel VBA. Our next round of courses starts in Jan. 2018.
The instructors of our advanced modules are industry coaches, who actively work in industry and design our curricula based on the activities of their employers. Fundamental concepts in statistics, mathematics, and programming are taught by instructors with a technical academic background, providing you with the best of both worlds.
With the rapid changes in technology that numerous industries are undergoing due to the increased application of computational and data analytics, the demands of employers are changing. These changes at a much faster pace than that universities can update their curricula. As a result, university graduates struggle to find jobs they are qualified for, and employers struggle to find qualified professionals to hire.
Lantern Institute bridges the gap between universities and the job market by training university graduates in the skills that employers demand most. With help from our partner finance, IT and recruiting firms, we then connect the graduates we train with employers in need of personnel with the skills we teach.