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Hazards, exposure, and a risk memo
Online or on campus
You do not forecast the climate. You take a stated hazard, an asset, and a loss story, and you write a memo that shows what is known and what is guessed. Frontier Innovation University teaches this award online and, where a cohort is formed, on campus. The 180 credits (1,800 notional hours) on this page are the sum of the 8 courses in the curriculum, so the transcript and the prospectus describe the same load. MSc Climate Risk Analytics is taught as one award, not a list of unrelated modules. The published length is 18 months, and the credit total is 36. Students move from Hazard and Exposure through Hazard and Exposure; Loss Pathway; Assumptions; Risk Memo, and finish on Risk Memo. Each course has a question, a method, and a submission. In this field, students define a measurable question, fit a method that can be checked, and report where it fails. Reading is a dataset description, a methods note, and one published evaluation. The artefact a marker expects is a project note with the question, the method, the result, and the limitation. The award is built so that a graduate can do the following in practice: Separate hazard from exposure Describe a loss pathway Show what is assumed Teaching assumes the student can read a source, attempt a problem before the seminar, and revise after feedback. Attendance at live seminars is part of the design. The capstone or final course must use the methods of the earlier courses; a project that ignores them does not pass. The pages for each course name the topics that are examined. Those topics are the syllabus. A brochure line is not a substitute for them.
Assessment is coursework on each taught module plus the final project named in the curriculum. Results are recorded as credit hours against each module. Fees are the figures published by Frontier Innovation University for this award; this page does not add a separate tuition claim.
Faculty spotlight
School of Risk and Analytics at Frontier Innovation University supervises the modules and the final project. Supervision is assigned from that school, not from a visiting name shared with another institution.
Complete your MSc Climate Risk Analytics fully online from anywhere in the world with faculty-led modules and flexible scheduling.
Attend seminars and access facilities in person at Frontier Innovation University. Campus tuition and campus examinations are charged.
| Code | Course | Credits · hours |
|---|---|---|
| CRA501 | Questions, units, and data quality Questions, units, and data quality (CRA501) is a course on MSc Climate Risk Analytics. It carries 20 credits and 200 notional learning hours, at 10 hours per credit. The course is taught at master's level. Students compare a weaker method, judge the evidence, and state what the result does not show. The chapters are the syllabus. Each chapter is a class of work this course assesses. Preparation is the reading, dataset, or case for that chapter. Seminar time is spent on the decision, the calculation, or the draft. The student revises after feedback. A pass requires the method named in the chapters, evidence a marker can check, and a stated limit on what the result does not show. The course is offered on the Austin campus route and on the tuition-free online pathway.
| 20 · 200 h |
| CRA502 | Statistical inference and a mistaken claim Statistical inference and a mistaken claim (CRA502) is a course on MSc Climate Risk Analytics. It carries 20 credits and 200 notional learning hours, at 10 hours per credit. The course is taught at master's level. Students compare a weaker method, judge the evidence, and state what the result does not show. The chapters are the syllabus. Each chapter is a class of work this course assesses. Preparation is the reading, dataset, or case for that chapter. Seminar time is spent on the decision, the calculation, or the draft. The student revises after feedback. A pass requires the method named in the chapters, evidence a marker can check, and a stated limit on what the result does not show. The course is offered on the Austin campus route and on the tuition-free online pathway.
| 20 · 200 h |
| CRA503 | Machine learning, baselines, and leakage Machine learning, baselines, and leakage (CRA503) is a course on MSc Climate Risk Analytics. It carries 20 credits and 200 notional learning hours, at 10 hours per credit. The course is taught at master's level. Students compare a weaker method, judge the evidence, and state what the result does not show. The chapters are the syllabus. Each chapter is a class of work this course assesses. Preparation is the reading, dataset, or case for that chapter. Seminar time is spent on the decision, the calculation, or the draft. The student revises after feedback. A pass requires the method named in the chapters, evidence a marker can check, and a stated limit on what the result does not show. The course is offered on the Austin campus route and on the tuition-free online pathway.
| 20 · 200 h |
| Code | Course | Credits · hours |
|---|---|---|
| CRA504 | Evaluation, error analysis, and harm Evaluation, error analysis, and harm (CRA504) is a course on MSc Climate Risk Analytics. It carries 20 credits and 200 notional learning hours, at 10 hours per credit. The course is taught at master's level. Students compare a weaker method, judge the evidence, and state what the result does not show. The chapters are the syllabus. Each chapter is a class of work this course assesses. Preparation is the reading, dataset, or case for that chapter. Seminar time is spent on the decision, the calculation, or the draft. The student revises after feedback. A pass requires the method named in the chapters, evidence a marker can check, and a stated limit on what the result does not show. The course is offered on the Austin campus route and on the tuition-free online pathway.
| 20 · 200 h |
| CRA505 | Data engineering and reproducible pipelines Data engineering and reproducible pipelines (CRA505) is a course on MSc Climate Risk Analytics. It carries 20 credits and 200 notional learning hours, at 10 hours per credit. The course is taught at master's level. Students compare a weaker method, judge the evidence, and state what the result does not show. The chapters are the syllabus. Each chapter is a class of work this course assesses. Preparation is the reading, dataset, or case for that chapter. Seminar time is spent on the decision, the calculation, or the draft. The student revises after feedback. A pass requires the method named in the chapters, evidence a marker can check, and a stated limit on what the result does not show. The course is offered on the Austin campus route and on the tuition-free online pathway.
| 20 · 200 h |
| CRA506 | Responsible use, governance, and human review Responsible use, governance, and human review (CRA506) is a course on MSc Climate Risk Analytics. It carries 20 credits and 200 notional learning hours, at 10 hours per credit. The course is taught at master's level. Students compare a weaker method, judge the evidence, and state what the result does not show. The chapters are the syllabus. Each chapter is a class of work this course assesses. Preparation is the reading, dataset, or case for that chapter. Seminar time is spent on the decision, the calculation, or the draft. The student revises after feedback. A pass requires the method named in the chapters, evidence a marker can check, and a stated limit on what the result does not show. The course is offered on the Austin campus route and on the tuition-free online pathway.
| 20 · 200 h |
| Code | Course | Credits · hours |
|---|---|---|
| CRA507 | Deployment, monitoring, and drift Deployment, monitoring, and drift (CRA507) is a course on MSc Climate Risk Analytics. It carries 20 credits and 200 notional learning hours, at 10 hours per credit. The course is taught at master's level. Students compare a weaker method, judge the evidence, and state what the result does not show. The chapters are the syllabus. Each chapter is a class of work this course assesses. Preparation is the reading, dataset, or case for that chapter. Seminar time is spent on the decision, the calculation, or the draft. The student revises after feedback. A pass requires the method named in the chapters, evidence a marker can check, and a stated limit on what the result does not show. The course is offered on the Austin campus route and on the tuition-free online pathway.
| 20 · 200 h |
| CRA508 | Capstone: a method, a result, and the limitation Capstone: a method, a result, and the limitation (CRA508) is a course on MSc Climate Risk Analytics. It carries 40 credits and 400 notional learning hours, at 10 hours per credit. The course is taught at master's level. Students compare a weaker method, judge the evidence, and state what the result does not show. The chapters are the syllabus. Each chapter is a class of work this course assesses. Preparation is the reading, dataset, or case for that chapter. Seminar time is spent on the decision, the calculation, or the draft. The student revises after feedback. A pass requires the method named in the chapters, evidence a marker can check, and a stated limit on what the result does not show. The course is offered on the Austin campus route and on the tuition-free online pathway.
| 40 · 400 h |
Modules are assessed through a published mix of coursework, applied projects, and examinations. Exam windows are announced in advance so students in other time zones are not forced into overnight sittings. Alternative arrangements are available where documented.
The published duration is 18 months. Teaching language: English. Actual time-to-complete depends on mode and any recognised prior learning.
You may study this award fully online from your country, or — where published — on campus at Frontier. Online study does not require a student visa. Campus study may.
Degree tuition for this award is published as £0 / tuition-free on the online pathway. All online degree examinations and certificates are 100% free and sponsored — the only cost for online study is the application fee. Campus tuition and campus examinations are charged separately. Check the Fees page for details.
Requirements are grouped on this page (academic, English, documents). Equivalent qualifications are considered. English may be waived after prior English-medium study.
Assessment is typically a mix of coursework, projects, and examinations. Doctoral awards include a thesis or dissertation and an oral examination. Details sit in the programme specification and module outlines.
Recognition of the award for local employment, professional licence, or ministry attestation is decided by your employer or regulator. Frontier Innovation University publishes verification pages for certificates. We do not claim automatic equivalence in every country.
Start an application on this website. Progress is saved from the first step. Admissions: admissions@frontuni.com.
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