Toronto session
5 July 2026 to 18 July 2026
Two-week Academic Insights programme.
In-person Programme
Academic Insights – Software Development & AI
Academic Insights – Software Development & AI is a two-week residential technology summer programme in Toronto, combining academic sessions, a personal research project and one-to-one tutoring.
Last verified: 26 Jul 2026Reviewed by:BSBen Stacy
In-person Programme
Academic Insights – Software Development & AI
Academic Insights – Software Development & AI is a two-week residential technology summer programme in Toronto, combining academic sessions, a personal research project and one-to-one tutoring.
Last verified: 26 Jul 2026Reviewed by:BSBen Stacy
Key facts
Current status
Past
Eligibility
B2 English
Age range / Year group
Ages 15-18
Location / Region
Toronto, Canada
Cost
£4,495; £5,995; £8,016
Duration
2 weeks
Format
In-person
Artificial IntelligenceCoding & AIComputer Science
Class size: 7-10 students
Accommodation: University residence
Certificate: Certificate of achievement
Teaching time: 45 hours
TL;DR
Academic Insights – Software Development & AI is an Immerse Education residential summer programme focused on programming, artificial intelligence and machine learning.
Students take in-depth academic sessions, develop a self-directed research project and receive one-to-one tutoring.
It suits students who want a university-style introduction to software development and AI rather than a purely career-focused course.
What is the Academic Insights – Software Development & AI programme?
Academic Insights – Software Development & AI is Immerse Education’s Toronto-based academic pathway for students who want to explore programming, artificial intelligence and machine learning. It combines in-depth teaching with projects designed to extend students beyond standard school study.
Participants work in a small class, pursue a self-directed research project and receive one-to-one tutoring. The residential setting adds campus life, activities and a graduation event to the academic experience.
Why Succeed highlights this
The academic pathway gives students structured time to test whether AI and software development genuinely hold their interest.
A self-directed research project creates a more substantial outcome than lesson-only summer study.
One-to-one tutoring adds room for focused questions and feedback.
The Toronto programme combines academic study with a residential university environment.
Small classes can make discussion and tutor access more practical.
Who should consider this?
Best for
Students who want to investigate software development and AI through academic sessions, a personal project and tutor feedback.
Not ideal if
You want a short coding bootcamp, a fully online programme, or a course centred primarily on workplace visits.
Is it worth it?
This is a worthwhile option for a student who wants a supported, residential introduction to academic AI and software development. The combination of small classes, tutoring and a research project can make it easier to decide whether the subject deserves deeper study.
The main limitation is cost, especially for the residential option. It is strongest when the student arrives with a clear question or project interest and reflects on what they learned afterwards.
Effort and preparation
Effort level
Moderate to high.
Best started
Start planning three to six months before a summer session.
Main challenge
Turning broad interest in AI into a manageable project question.
Useful if
You enjoy problem-solving and asking how technology works.
What you actually do
Students explore programming, AI and machine learning through academic sessions, projects and individual support. The programme pairs study time with a personal research project and a residential activity schedule.
Step-by-step process
- 1
Join in-depth academic sessions on software development and AI.
- 2
Discuss advanced ideas and questions with expert tutors.
- 3
Develop a self-directed research project around a subject interest.
- 4
Use one-to-one tutoring to clarify concepts and receive feedback.
- 5
Take part in campus activities, excursions and evening events.
- 6
Receive a certificate of achievement at completion.
Key dates and deadlines
Next cycle not announced yet. These dates are from the latest verified cycle and should be used as a reference only.
Reference date
| Milestone | Date | Timezone | Status | |
|---|---|---|---|---|
Toronto session | 5 July 2026 to 18 July 2026 | Local | Reference date | Get next-cycle reminder |
Eligibility and requirements
Students aged 15-18.
Minimum B2 English proficiency.
No prior subject knowledge required.
A parent or guardian enrols students under 18.
Cost, funding, and what's included
Non-residential
£4,495 — No accommodation.
Funding or discounts
- Classic residential: £5,995 — Residential option.
- Residential + research: £8,016 — Includes 10 hours online research.
- Bursary programme: Up to 100% tuition — Means-tested provider bursaries may be available.
What's included
45 teaching and coaching hours., Tuition by industry experts., Support from designated mentors and one-to-one support., Guest speaker sessions and tutor evaluation., Certificate of attendance., Residential option includes 13 nights of university accommodation., Toronto listed meals include breakfast and dinner.
How to apply
- 1
Choose the Software Development & AI programme, location and session.
- 2
Provide student details and academic interests.
- 3
A parent or legal guardian completes enrolment for students under 18.
- 4
Wait for programme details and a secure payment link.
- 5
Complete payment to confirm enrolment.
Curriculum / what you'll study
The programme covers the following focus areas.
Academic AI foundations
Study programming, artificial intelligence and machine learning through in-depth academic sessions.
Personal research project
Develop an original research question using university-level methods with tutor guidance.
One-to-one tutoring
Use individual sessions to explore challenging ideas and receive focused feedback.
Technology in practice
Apply learning through coding projects, problem-solving challenges and real-world applications.
Curriculum may be adjusted based on participant interests and current developments.
Daily schedule overview
A typical day during the programme.
Mornings
Academic session after breakfast.
Afternoons
Academic sessions, tutorials or project presentations.
Late afternoon
Activities include masterclasses, personal project supervision and city experiences.
Evenings
Social, guest-speaker and cultural activities follow dinner.
Teaching faculty / mentors
The Toronto pathway describes in-depth academic sessions led by expert tutors from prestigious universities. Students also receive one-to-one tutoring tailored to their learning style and goals.
The programme also lists guest speaker sessions and designated mentor support.
Accommodation, meals, and campus experience
Residential plan
- University residence: Students stay in University of Toronto college residences.
- Rooms and facilities: Rooms are secure and comfortable, with shared facilities and Wi-Fi.
- Meals: Toronto listed inclusions provide breakfast and dinner daily.
- Campus experience: Students live in an academic setting and take part in city activities and evening events.
Room allocation is made before arrival; requests to stay with a friend or sibling are considered where possible.
Progression pathways
After completing this programme, participants often pursue:
Build a clearer picture of whether to pursue software development or AI further.
Create a self-directed research project around a subject interest.
Develop evidence of academic curiosity for later applications.
Receive a Certificate of Achievement.
Explore real-world technology through projects, discussions and local activities.
A certificate and project can support reflection, but do not replace academic qualifications.
Location detail
The Toronto programme is based at the University of Toronto, placing students in a college-residence setting in one of North America’s growing technology hubs. Activities highlight Toronto’s innovation landscape alongside landmarks such as the CN Tower and Distillery District.
Frequently asked questions
Academic Insights is Immerse Education’s pathway for an in-depth exploration of academic fields and university-level study.
No prior subject knowledge is required. Students need a minimum English proficiency level of B2.
Students develop a self-directed research project with tutor guidance, alongside their academic sessions.
Yes. The programme includes one-to-one tutoring for focused feedback and guidance.
Residential students stay in college residences at the University of Toronto, with shared facilities and Wi-Fi.
The Toronto listed inclusions provide daily breakfast and dinner.
Students receive a Certificate of Achievement after completing their Immerse Education programme.
Alternatives to Academic Insights – Software Development & AI
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Save this programme in Succeed to compare it with similar programmes, dates, costs and formats in one place.
Compare with other programmesContent reviewed by
Ben Stacy
Co-founder, Succeed | Former secondary teacher and educational leader
Ben works at the intersection of education, technology and school adoption, with expertise in how secondary schools evaluate data-driven tools and how education technology is used in practice.
Sources & verification
Source types reviewed
- Bursary Programme for Summer Schools in the UK - Immerse Education
- Summer School Programme & Travel Insurance - Immerse Education
- AI Summer School in Singapore - Immerse Education
- Artificial Intelligence Summer School in New York 2026
- Software Development & AI in SF - Immerse Education
- Software Development & AI Summer School in Toronto - Immerse Education
- AI Summer School in Singapore - Immerse Education
- Artificial Intelligence Summer School in New York 2026
- Software Development & AI in SF - Immerse Education
- Enrol | Academic Summer Schools & Online Courses - Immerse Education
- Book a Consultation - Immerse Education
- Software Development & AI Summer School: Academic Programs
- Software Development & AI Summer School: Academic Programs
Succeed uses official provider information where available, but keeps this public page focused on comparison and planning inside Succeed.
What we verified (on 26 Jul 2026)
Programme details checked
Toronto session reviewed
Eligibility reviewed
Accommodation reviewed
Costs reviewed
Schedule reviewed
How Succeed uses this information
We use source material to verify core facts, then show older cycle dates as reference when a current cycle is not available. Always check current application instructions before applying.
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