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Master’s in Snow Ops and Groomers Engineering

Online master's programme of 1,900 hours in snow operations and groomer engineering. 12 modules covering snow operations, snow mechanics, snow groomers, winch work, slope and snowpack management, winter road maintenance, extreme-cold operation, electrification, safety, seasonal maintenance and fleet economics, with an assigned technical tutor.

Duration1900 h
ModeOnline
LanguageEnglish
Start datesSet by the faculty
AwardSEIUM Institute diploma
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Learning outcomes

What you will be able to do

01

Characterise snow and its interaction with machines.

02

Select snow groomers and winter road maintenance equipment.

03

Apply safe winch work procedures.

04

Manage the snowpack using snow depth data.

05

Adapt machines to operation in extreme cold.

06

Plan the seasonal maintenance of fleets.

07

Evaluate the energy transition of snow fleets.

Profile

Who it's for

  • Ski resort slope managers
  • Snow machinery engineers
  • Winter road maintenance managers
  • Snow groomer maintenance technicians
  • Mountain fleet managers
  • Ski resort safety coordinators
  • Engineering or science graduates looking to enter the ski resort sector
Standards & tools

What you'll work with

  • UNE-EN 15059 (snow-grooming equipment: safety)
  • UNE-EN 13021 (winter maintenance machines)
  • Regulation (EU) 2023/1230 (machinery)
  • Regulation (EU) 2016/1628 (emissions from non-road mobile machinery)
  • Ley 31/1995 (Spanish Occupational Risk Prevention Act)
  • SNOWsat
  • QGIS
  • Microsoft Power BI
  • MATLAB
Syllabus

12 modules · 1900 h

  1. 1.1Ski slope management
  2. 1.2Winter road maintenance
  3. 1.3Snow clearance at airports
  4. 1.4Operations in polar regions
  5. 1.5Snow types and their properties
  6. 1.6Mountain climate and avalanches
  7. 1.7Organisation of a winter service
  8. 1.8Service indicators
  9. 1.9Regulations applicable to the service
  10. 1.10Case study: grooming plan for a ski resort
  1. 2.1Snow density and structure
  2. 2.2Snowpack metamorphism
  3. 2.3Strength and compaction
  4. 2.4Track-snow interaction
  5. 2.5Flotation and contact pressure
  6. 2.6Friction on snow and ice
  7. 2.7Machine-made versus natural snow
  8. 2.8Measuring snow properties
  9. 2.9Behaviour models
  10. 2.10Lab: snow density and hardness
  1. 3.1Architecture of a snow groomer
  2. 3.2Tracks and aluminium cleats
  3. 3.3Hydrostatic powertrain
  4. 3.4Multi-position front blade
  5. 3.5Rear tiller and finishing
  6. 3.6Winch groomers
  7. 3.7Cab and night-time visibility
  8. 3.8Manufacturers and models
  9. 3.9Selection according to the resort
  10. 3.10Practical exercise: specifying a winch groomer
  1. 4.1Principle of the slope winch
  2. 4.2Anchors and their verification
  3. 4.3Cable tension and control
  4. 4.4Risks to skiers and staff
  5. 4.5Cable signage
  6. 4.6Operation on extreme slopes
  7. 4.7Cable inspection
  8. 4.8Operator training
  9. 4.9Emergency procedures
  10. 4.10Case study: winch work procedure
  1. 5.1Snow depth measurement
  2. 5.2Snow depth maps with GNSS
  3. 5.3Scheduled snowmaking
  4. 5.4Snow redistribution
  5. 5.5Surface quality for skiing
  6. 5.6Preparation of competition slopes
  7. 5.7Snow parks and jumps
  8. 5.8Water and energy savings
  9. 5.9Slope management software
  10. 5.10Lab: snow depth map with GNSS data
  1. 6.1Blade snowploughs
  2. 6.2Snow blowers and rotary ploughs
  3. 6.3De-icer spreaders
  4. 6.4Brine and pre-wetting
  5. 6.5Winter road route planning
  6. 6.6Road weather forecasting
  7. 6.7Winter maintenance vehicles
  8. 6.8Coordination of maintenance centres
  9. 6.9Environmental impact of de-icers
  10. 6.10Practical exercise: winter route for a mountain pass
  1. 7.1Cold engine starting
  2. 7.2Winter fluids and lubricants
  3. 7.3Batteries at low temperature
  4. 7.4Hydraulics at low temperature
  5. 7.5Materials and brittleness
  6. 7.6Cab heating
  7. 7.7Demisting and visibility
  8. 7.8Cold chamber testing
  9. 7.9Experience from polar bases
  10. 7.10Lab: low-temperature starting
  1. 8.1Electric and hybrid snow groomers
  2. 8.2Hydrogen snow groomers
  3. 8.3Renewable fuels for groomers
  4. 8.4Consumption and emissions per season
  5. 8.5Charging infrastructure at resorts
  6. 8.6Night-time noise at resorts
  7. 8.7Carbon footprint of resorts
  8. 8.8Environmental certifications for resorts
  9. 8.9Adaptation to climate change
  10. 8.10Case study: energy transition of a fleet
  1. 9.1Risks in night-time grooming
  2. 9.2Avalanches and operation in exposed areas
  3. 9.3Snow groomer rollover
  4. 9.4Interaction with users
  5. 9.5Safety communications
  6. 9.6Lone working on the slopes
  7. 9.7Mountain rescue
  8. 9.8Safety in winter road maintenance
  9. 9.9Training and drills
  10. 9.10Practical exercise: risk assessment of night-time grooming
  1. 10.1Seasonal maintenance plan
  2. 10.2Inspection of tracks and cleats
  3. 10.3Hydraulic maintenance of groomers
  4. 10.4Maintenance of tillers and blades
  5. 10.5Summer storage
  6. 10.6Spare parts management
  7. 10.7Remote fleet diagnostics
  8. 10.8Costs per operating hour
  9. 10.9Availability indicators
  10. 10.10Case study: pre-season inspection plan
  1. 11.1Cost per hectare groomed
  2. 11.2Sizing snow groomer fleets
  3. 11.3Fleet renewal
  4. 11.4Leasing versus buying
  5. 11.5Shift planning
  6. 11.6Productivity of night-time grooming
  7. 11.7Benchmarking between resorts
  8. 11.8Winter maintenance contracts
  9. 11.9Communicating to management
  10. 11.10Practical exercise: sizing the fleet of a resort
  1. 12.1Selection of a resort or road network
  2. 12.2Climate and snow-cover analysis
  3. 12.3Snow management plan
  4. 12.4Machine selection
  5. 12.5Safety plan
  6. 12.6Maintenance plan
  7. 12.7Sustainability analysis
  8. 12.8Cost analysis
  9. 12.9Thesis report
  10. 12.10Master's Thesis: defence before a panel
Methodology, software & labs

How you'll learn

Training is 100% online on the SEIUM campus, with downloadable material, recorded classes and an assigned technical tutor. There are no fixed timetables: you progress at your own pace within the intake, so the programme can be combined with work.

Each module combines theory, guided reading of the original standard and applied exercises. The working software is SNOWsat, QGIS, Microsoft Power BI and MATLAB, in free, academic or evaluation versions. Testing is studied through real procedures for snowpack management with GNSS, winter road route planning and pre-season inspections. Assessment is continuous for each module, plus the final Master's Thesis.

Standards covered: UNE-EN 15059, UNE-EN 13021, Regulation (EU) 2023/1230, Regulation (EU) 2016/1628, Ley 31/1995.

Assigned technical tutor:every module ends with a deliverable that your tutor marks individually.
Standards-based learning:guided reading of UNE-EN 15059, UNE-EN 13021 and Regulation (EU) 2023/1230 applied to real cases, not as a theoretical annex.
Industry software:SNOWsat, QGIS, Microsoft Power BI and MATLAB, in free, academic or evaluation versions.
Master's Thesis with defence:A complete snow management project for a real ski resort or road network, defended before a panel.
Flexible format:100% online, no fixed timetables, compatible with full-time work.
Capstone project

Build it end to end

Your final project follows the real engineering workflow, step by step, reviewed by your tutor.

Site and climate analysis
Select a resort or road network and analyse its climate and snow cover.
Snow management plan
Draw up the snow management plan for the site.
Machine selection
Choose the groomers and winter equipment needed for the plan.
Safety, maintenance and sustainability
Define the safety and maintenance plans and analyse sustainability and costs.
Master's Thesis
Present the complete snow operations project, defended before a panel.
Career opportunities

Where this takes you

Ski resort slope managerSnow machinery engineerWinter road maintenance managerSnow groomer maintenance technicianMountain fleet managerSki resort safety coordinator
Admissions & scholarships

Requirements

  • A university degree in engineering, science or architecture, or equivalent demonstrable professional experience.
  • An internet connection and a computer capable of running the programme software.
  • English sufficient to read technical standards.

Ready to start?

Send your application today. Our admissions team replies within 72 hours with your study plan and funding options.

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FAQ

Frequently asked questions

The programme totals 1,900 hours over 12–14 months. You set your own pace within each intake, and your tutor helps you plan the workload around your job.

You work with SNOWsat, QGIS, Microsoft Power BI and MATLAB, using free, academic or evaluation versions. Your tutor indicates the free alternative wherever one exists.

A SEIUM Institute diploma, awarded on passing the continuous assessment and the Master's Thesis. It is SEIUM's own qualification, not an official state degree; its recognition depends on the programme completed and the regulations of each country.

Yes. Modules passed in a course or postgraduate diploma in the same area are recognised in the higher programme. Ask about the recognition policy when you enrol.

A degree in engineering, science or architecture (or equivalent professional experience), a computer able to run the programme software, and English sufficient to read technical standards.

Start dates are set by SEIUM's faculty for each intake. Our admissions team will confirm the next available date when you apply.

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