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Engineer the transition to clean power
Online or on campus
Renewable energy capacity grows faster than any other source — engineers must integrate intermittent generation into reliable grids. This MSc covers photovoltaic and wind system design, energy storage, grid codes, and project finance basics. Labs use simulation tools for resource assessment and yield prediction. Graduates work for utilities, developers, consultancies, and government energy departments. MSc Renewable Energy Engineering is taught as one award, not a list of unrelated modules. The published length is 24 months, and the credit total is 36. Students move from Energy Systems & Policy through Energy Systems & Policy; Solar Photovoltaic Engineering; Wind Energy Technology; Energy Storage & Hydrogen; Power Electronics & Grid Codes; Energy Economics & Finance, and finish on MSc Renewable Energy Capstone. Each course has a question, a method, and a submission. In this field, students draw the system, name the constraint that binds it, and compare two responses. Reading is a system description, an indicator note, and a project option paper. The artefact a marker expects is a recommendation for one decision, with the evidence and the downside. The award is built so that a graduate can do the following in practice: Size solar and wind installations using resource data Model battery storage and hybrid system performance Evaluate LCOE and project finance viability 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. This course does not confer a professional engineering licence. 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.
Faculty spotlight
Dr. Yuki Tanaka leads grid integration research; Professor Marcus Chen manages offshore wind feasibility projects for Scottish waters.
Study online
Online tuition is free. Online examinations are free. There is no exam fee for online study.
On-campus study
Prefer to learn at our Edinburgh campus? Campus tuition and campus examinations are charged. The published campus price is on each programme page.
| Code | Course | Credits · hours |
|---|---|---|
| RE501 | Energy Systems & Policy Energy Systems & Policy (RE501) is a 3-credit course on MSc Renewable Energy Engineering, with 30 notional learning hours. By the end, students can say who decides, under which rule, and draft a note a professional could read, using Energy Systems & Policy as the working context rather than a generic management example. The course is taught in three movements. First, students establish the terms and the decision the course is about. Second, they apply the method to a case, dataset, text, or design and compare it with a weaker alternative. Third, they revise the work after feedback and state what the conclusion cannot support. Preparation uses a statute or instrument, a case or policy paper, and a commentary. Seminar time is for the decision, not for reading the materials aloud. Assessment is a memo or draft clause with sources and a revision note. A pass requires a clear method, evidence a marker can check, and an explicit limit. Credit is not awarded for summary alone. This course is academic. It does not admit the student to practise law and it is not a qualifying law degree.
| 3 · 30 h |
| RE502 | Solar Photovoltaic Engineering Solar Photovoltaic Engineering (RE502) is a 3-credit course on MSc Renewable Energy Engineering, with 30 notional learning hours. By the end, students can draw the system, name the constraint that binds it, and compare two responses, using Solar Photovoltaic Engineering as the working context rather than a generic management example. The course is taught in three movements. First, students establish the terms and the decision the course is about. Second, they apply the method to a case, dataset, text, or design and compare it with a weaker alternative. Third, they revise the work after feedback and state what the conclusion cannot support. Preparation uses a system description, an indicator note, and a project option paper. Seminar time is for the decision, not for reading the materials aloud. Assessment is a recommendation for one decision, with the evidence and the downside. A pass requires a clear method, evidence a marker can check, and an explicit limit. Credit is not awarded for summary alone. This course does not confer a professional engineering licence.
| 3 · 30 h |
| RE503 | Wind Energy Technology Wind Energy Technology (RE503) is a 3-credit course on MSc Renewable Energy Engineering, with 30 notional learning hours. By the end, students can draw the system, name the constraint that binds it, and compare two responses, using Wind Energy Technology as the working context rather than a generic management example. The course is taught in three movements. First, students establish the terms and the decision the course is about. Second, they apply the method to a case, dataset, text, or design and compare it with a weaker alternative. Third, they revise the work after feedback and state what the conclusion cannot support. Preparation uses a system description, an indicator note, and a project option paper. Seminar time is for the decision, not for reading the materials aloud. Assessment is a recommendation for one decision, with the evidence and the downside. A pass requires a clear method, evidence a marker can check, and an explicit limit. Credit is not awarded for summary alone. This course does not confer a professional engineering licence.
| 3 · 30 h |
| RE504 | Energy Storage & Hydrogen Energy Storage & Hydrogen (RE504) is a 3-credit course on MSc Renewable Energy Engineering, with 30 notional learning hours. By the end, students can draw the system, name the constraint that binds it, and compare two responses, using Energy Storage & Hydrogen as the working context rather than a generic management example. The course is taught in three movements. First, students establish the terms and the decision the course is about. Second, they apply the method to a case, dataset, text, or design and compare it with a weaker alternative. Third, they revise the work after feedback and state what the conclusion cannot support. Preparation uses a system description, an indicator note, and a project option paper. Seminar time is for the decision, not for reading the materials aloud. Assessment is a recommendation for one decision, with the evidence and the downside. A pass requires a clear method, evidence a marker can check, and an explicit limit. Credit is not awarded for summary alone. This course does not confer a professional engineering licence.
| 3 · 30 h |
| Code | Course | Credits · hours |
|---|---|---|
| RE505 | Power Electronics & Grid Codes Power Electronics & Grid Codes (RE505) is a 3-credit course on MSc Renewable Energy Engineering, with 30 notional learning hours. By the end, students can draw the system, name the constraint that binds it, and compare two responses, using Power Electronics & Grid Codes as the working context rather than a generic management example. The course is taught in three movements. First, students establish the terms and the decision the course is about. Second, they apply the method to a case, dataset, text, or design and compare it with a weaker alternative. Third, they revise the work after feedback and state what the conclusion cannot support. Preparation uses a system description, an indicator note, and a project option paper. Seminar time is for the decision, not for reading the materials aloud. Assessment is a recommendation for one decision, with the evidence and the downside. A pass requires a clear method, evidence a marker can check, and an explicit limit. Credit is not awarded for summary alone. This course does not confer a professional engineering licence.
| 3 · 30 h |
| RE506 | Energy Economics & Finance Energy Economics & Finance (RE506) is a 3-credit course on MSc Renewable Energy Engineering, with 30 notional learning hours. By the end, students can read a set of figures, build a small case, and state which assumption moves the result, using Energy Economics & Finance as the working context rather than a generic management example. The course is taught in three movements. First, students establish the terms and the decision the course is about. Second, they apply the method to a case, dataset, text, or design and compare it with a weaker alternative. Third, they revise the work after feedback and state what the conclusion cannot support. Preparation uses financial statements, a recognition note, and a risk report. Seminar time is for the decision, not for reading the materials aloud. Assessment is a recommendation that separates the decision, the numbers, and the risk. A pass requires a clear method, evidence a marker can check, and an explicit limit. Credit is not awarded for summary alone. This course does not confer an accounting, audit, or financial-services licence.
| 3 · 30 h |
| RE507 | Environmental Impact Assessment Environmental Impact Assessment (RE507) is a 3-credit course on MSc Renewable Energy Engineering, with 30 notional learning hours. By the end, students can draw the system, name the constraint that binds it, and compare two responses, using Environmental Impact Assessment as the working context rather than a generic management example. The course is taught in three movements. First, students establish the terms and the decision the course is about. Second, they apply the method to a case, dataset, text, or design and compare it with a weaker alternative. Third, they revise the work after feedback and state what the conclusion cannot support. Preparation uses a system description, an indicator note, and a project option paper. Seminar time is for the decision, not for reading the materials aloud. Assessment is a recommendation for one decision, with the evidence and the downside. A pass requires a clear method, evidence a marker can check, and an explicit limit. Credit is not awarded for summary alone. This course does not confer a professional engineering licence.
| 3 · 30 h |
| RE508 | Research Methods Research Methods (RE508) is a 3-credit course on MSc Renewable Energy Engineering, with 30 notional learning hours. By the end, students can draw the system, name the constraint that binds it, and compare two responses, using Research Methods as the working context rather than a generic management example. The course is taught in three movements. First, students establish the terms and the decision the course is about. Second, they apply the method to a case, dataset, text, or design and compare it with a weaker alternative. Third, they revise the work after feedback and state what the conclusion cannot support. Preparation uses a system description, an indicator note, and a project option paper. Seminar time is for the decision, not for reading the materials aloud. Assessment is a recommendation for one decision, with the evidence and the downside. A pass requires a clear method, evidence a marker can check, and an explicit limit. Credit is not awarded for summary alone. This course does not confer a professional engineering licence.
| 3 · 30 h |
| Code | Course | Credits · hours |
|---|---|---|
| RE601 | Smart Grids & Demand Response Smart Grids & Demand Response (RE601) is a 3-credit course on MSc Renewable Energy Engineering, with 30 notional learning hours. By the end, students can draw the system, name the constraint that binds it, and compare two responses, using Smart Grids & Demand Response as the working context rather than a generic management example. The course is taught in three movements. First, students establish the terms and the decision the course is about. Second, they apply the method to a case, dataset, text, or design and compare it with a weaker alternative. Third, they revise the work after feedback and state what the conclusion cannot support. Preparation uses a system description, an indicator note, and a project option paper. Seminar time is for the decision, not for reading the materials aloud. Assessment is a recommendation for one decision, with the evidence and the downside. A pass requires a clear method, evidence a marker can check, and an explicit limit. Credit is not awarded for summary alone. This course does not confer a professional engineering licence.
| 3 · 30 h |
| RE602 | Renewable Asset Optimization & Storage Renewable Asset Optimization & Storage (RE602) is a 3-credit course on MSc Renewable Energy Engineering, with 30 notional learning hours. By the end, students can draw the system, name the constraint that binds it, and compare two responses, using Renewable Asset Optimization & Storage as the working context rather than a generic management example. The course is taught in three movements. First, students establish the terms and the decision the course is about. Second, they apply the method to a case, dataset, text, or design and compare it with a weaker alternative. Third, they revise the work after feedback and state what the conclusion cannot support. Preparation uses a system description, an indicator note, and a project option paper. Seminar time is for the decision, not for reading the materials aloud. Assessment is a recommendation for one decision, with the evidence and the downside. A pass requires a clear method, evidence a marker can check, and an explicit limit. Credit is not awarded for summary alone. This course does not confer a professional engineering licence.
| 3 · 30 h |
| RE603 | MSc Renewable Energy Capstone MSc Renewable Energy Capstone (RE603) is a 6-credit course on MSc Renewable Energy Engineering, with 60 notional learning hours. By the end, students can draw the system, name the constraint that binds it, and compare two responses, using MSc Renewable Energy Capstone as the working context rather than a generic management example. The course is taught in three movements. First, students establish the terms and the decision the course is about. Second, they apply the method to a case, dataset, text, or design and compare it with a weaker alternative. Third, they revise the work after feedback and state what the conclusion cannot support. Preparation uses a system description, an indicator note, and a project option paper. Seminar time is for the decision, not for reading the materials aloud. Assessment is a recommendation for one decision, with the evidence and the downside. A pass requires a clear method, evidence a marker can check, and an explicit limit. Credit is not awarded for summary alone. This course does not confer a professional engineering licence.
| 6 · 60 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 24 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 Brigant. 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. Examination or administrative fees may apply at checkout — never an annual tuition invoice. Check the Fees page for any extras.
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. University of Brigant 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@brigant.uk.
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