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Turn a field file into a decision a grower can refuse
Online or on campus
Yield files, a soil test, and a recommendation the grower can reject. Upper Midwest fields. Not an agronomy licence. The project is one field decision pack. MS Precision Agriculture Data 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 Yield file through Yield file; Soil; Rate; Cost; Refusal; Decision pack, and finish on Decision pack. 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: Clean a yield file Read a soil test Write a recommendation with the refusal 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.
The credit total on this page is the sum of the courses in the curriculum. Assessment is the work named on each course.
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Mltio University supervises the courses and the final assessed file. Supervision is assigned from the school that owns the award.
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Online tuition is free. Online examinations and certificates are 100% free and sponsored.
On-campus study
Prefer to learn at our Minneapolis campus? On-campus delivery includes tuition fees, in-person seminars, and access to university facilities.
| Code | Course | Credits · hours |
|---|---|---|
| AGD501 | Analytical foundations of MS Precision Agriculture Data Analytical foundations of MS Precision Agriculture Data (AGD501) is a course on MSc MS Precision Agriculture Data. 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. Examples use a United States setting. The campus context, where a campus route is published, is Minneapolis.
| 20 · 200 h |
| AGD502 | Evidence and research methods for MS Precision Agriculture Data Evidence and research methods for MS Precision Agriculture Data (AGD502) is a course on MSc MS Precision Agriculture Data. 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. Examples use a United States setting. The campus context, where a campus route is published, is Minneapolis.
| 20 · 200 h |
| AGD503 | Professional context and institutions in MS Precision Agriculture Data Professional context and institutions in MS Precision Agriculture Data (AGD503) is a course on MSc MS Precision Agriculture Data. 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. Examples use a United States setting. The campus context, where a campus route is published, is Minneapolis.
| 20 · 200 h |
| Code | Course | Credits · hours |
|---|---|---|
| AGD504 | Measurement, data quality, and error in MS Precision Agriculture Data Measurement, data quality, and error in MS Precision Agriculture Data (AGD504) is a course on MSc MS Precision Agriculture Data. 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. Examples use a United States setting. The campus context, where a campus route is published, is Minneapolis.
| 20 · 200 h |
| AGD505 | Ethics, regulation, and the limit of the claim in MS Precision Agriculture Data Ethics, regulation, and the limit of the claim in MS Precision Agriculture Data (AGD505) is a course on MSc MS Precision Agriculture Data. 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. Examples use a United States setting. The campus context, where a campus route is published, is Minneapolis.
| 20 · 200 h |
| AGD506 | Design, implementation, and change in MS Precision Agriculture Data Design, implementation, and change in MS Precision Agriculture Data (AGD506) is a course on MSc MS Precision Agriculture Data. 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. Examples use a United States setting. The campus context, where a campus route is published, is Minneapolis.
| 20 · 200 h |
| Code | Course | Credits · hours |
|---|---|---|
| AGD507 | Evaluation, risk, and a competing explanation in MS Precision Agriculture Data Evaluation, risk, and a competing explanation in MS Precision Agriculture Data (AGD507) is a course on MSc MS Precision Agriculture Data. 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. Examples use a United States setting. The campus context, where a campus route is published, is Minneapolis.
| 20 · 200 h |
| AGD508 | Capstone: a defended decision in MS Precision Agriculture Data Capstone: a defended decision in MS Precision Agriculture Data (AGD508) is a course on MSc MS Precision Agriculture Data. 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. Examples use a United States setting. The campus context, where a campus route is published, is Minneapolis.
| 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 Mltio. 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. Mltio 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@mltio.com.
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