Always fresh
Course data refreshed on a daily/weekly cycle, not a static PDF that's out of date the day you download it.
TGM Technologies builds AI-powered software for institutions and organizations. From TUEG, our AI WhatsApp platform, to our Study & Course Data API and a full Business Suite, we help you engage your audience and run your operations at scale.
TUEG gives every institution its own AI persona and handles student conversations at massive scale, right where students already are. Personalised, always-on, and fluent in the world's languages.
Course data refreshed on a daily/weekly cycle, not a static PDF that's out of date the day you download it.
WAEC/NECO and other regional entry-requirement mapping is built in from the start, not bolted on afterwards.
Designed for study-abroad consultancies, ed-tech listing platforms and advisory services to plug straight in.
Structured JSON/REST access once live, with clean, queryable endpoints, not spreadsheet dumps.
The full study-abroad picture per course, plus TGM-exclusive fields you won't find in a raw feed.
Indicative pricing. Final packages coming soon.
Core fields to power search, matching and listings.
Join WaitlistEverything in Silver, plus modules, assessments and scholarships.
Join WaitlistCore postgraduate fields for search and matching.
Join WaitlistFull postgraduate field set incl. modules & assessment methods.
Join WaitlistFull Undergraduate + Postgraduate coverage, Silver or Gold.
Match students to the right course instantly, with entry requirements already mapped to WAEC/NECO.
Populate and keep listings fresh automatically instead of scraping and maintaining data by hand.
Give advisors authoritative, up-to-date course intelligence for every conversation.
Build recommendation engines and application tools on a clean, structured data foundation.
One integration, the whole study-abroad journey: courses, equivalency, funding, visas, costs and matching. Click a product to preview its endpoint.
/v1/courses?country=UK&level=undergraduate&subject=computer-science{
"count": 214,
"results": [
{
"course_title": "BSc (Hons) Computer Science",
"provider": "University of Greenwich",
"application_code": "G400",
"study_mode": "Full-time",
"duration": "3 years",
"start_date": "2027-09-21",
"application_deadline": "2027-01-29",
"fees": { "home": 9250, "international": 17000, "currency": "GBP" },
"entry_requirements": {
"ucas_tariff": 112,
"waec_neco_equivalent": "5 credits incl. Maths & English",
"english": "IELTS 6.0 (no band below 5.5)"
},
"tgm": {
"nigeria_fit_score": 87,
"commission_eligible": true,
"visa_sponsorship": "Student Route"
}
}
]
}
/v1/equivalency?from=WAEC&to=ucas_tariff&grades=A1,B2,B3,C4,C5{
"from": "WAEC (WASSCE)",
"to": "ucas_tariff",
"input_grades": ["A1", "B2", "B3", "C4", "C5"],
"result": {
"ucas_tariff_points": 96,
"gpa_4_scale": 3.4,
"meets_baseline": true,
"notes": "Equivalent to BBC at A-Level for most post-92 providers"
},
"provider_overrides": [
{ "provider": "University of Leeds", "requires": "5 credits incl. Maths & English at C6+" }
]
}
/v1/scholarships?country=UK&level=postgraduate&nationality=NG{
"count": 37,
"results": [
{
"name": "Chevening Scholarship",
"provider": "UK Government",
"level": "Postgraduate",
"award": { "type": "Full", "covers": ["Tuition", "Stipend", "Travel"] },
"eligibility": { "nationality": ["NG"], "min_experience_years": 2 },
"deadline": "2026-11-05",
"tgm": { "nigeria_priority": true, "competitiveness": "high" }
}
]
}
/v1/visa?country=UK&route=student&nationality=NG{
"country": "UK",
"route": "Student (Sub Class)",
"financial_proof": { "tuition_deposit": true, "living_costs_gbp": 12006, "months": 9 },
"work_rights": { "term_time_hours": 20, "vacation": "Full-time" },
"dependants_allowed": false,
"processing_time_days": 21,
"post_study": { "graduate_route_months": 24 }
}
/v1/costs?course_id=grn-cs-bsc¤cy=NGN{
"course_id": "grn-cs-bsc",
"currency": "NGN",
"fx_rate_gbp": 2050.40,
"tuition_per_year": 34856800,
"living_costs_per_year": 24604800,
"estimated_total_year_1": 59461600,
"as_of": "2026-08-31T09:00:00Z"
}
/v1/match{
"student": { "grades": "WAEC BBC", "budget_ngn": 60000000, "subject": "Computer Science" },
"matches": [
{ "course": "BSc Computer Science", "provider": "University of Greenwich",
"fit_score": 91, "qualifies": true, "within_budget": true },
{ "course": "BSc Software Engineering", "provider": "Coventry University",
"fit_score": 84, "qualifies": true, "within_budget": true }
]
}
Tell us who you are and how you'd use the data. We'll reach out as beta partners come online.