MSc Digital Technology for Sustainable Agriculture (Sept) FT (T385)

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Stage 1

T385 MSc Digital Technology for Sustainable Agriculture (Sept) is a 1-year 90-credit full-time Masters Programme. All Autumn and Spring modules are Optional and must be selected in consultation with the Programme Director. Students will normally select 30 credits per trimester to ensure a balanced workload.
The 30-credit module BSEN40090 Biosystems Engineering Thesis is a Core Module and must be taken by all students in the Summer Trimester.
Also, across the programme, students are permitted to take one 5-credit module that is not on the list of Option Modules as a Negotiated Option, and the selected module must be approved by the Programme Director in advance, and will require formal approval by the Engineering Programme Board.
Students enrolling on the programme who do not have an undergraduate degree in Agricultural Science, or an agricultural science discipline, should select a minimum of 20 credits from the following list:
AESC10010   Land Use & Environment ANSC10010  Intro to Animal Science
CPSC10010   Introduction to Crop Science
AESC20060   Soil Science Basics
HORT20070  Agricultural Botany
CPSC20030   Principles of Crop Science
CPSC20020   Fundamentals of Arable Crop Production
AESC30230   Climate, Carbon and Soil
AESC40250   Soil Resources
CPSC 30030  Root & Alternative crop Production
CPSC 30050  Organic Ag
CPSC 40010  Cereal Production
BSEN 30210  Precision Agriculture
BSEN 40510  Precision Livestock Management
BSEN 40740  Soil Technology
There is scope for flexible choice of data science modules from those offered by the Advance Centre for Professional Education. Your module selection will depend on prior learning, pre-requisites and completing 70ECTS of modules at NFQ level 9/UCD module level 4.

Module ID Module Title Trimester Credits
Stage 1 Core Modules
     
BSEN40090 Thesis Year-long (12 months) 30
Stage 1 Core Modules
     
Stage 1 Options - A)6OF:
Students should select 30 credits of Autumn Option modules in consultation with Programme Director to ensure a balanced workload. Across the programme, students are permitted to one 5-credit modules that is not on the list of Option Modules as a Negotiated Option, and the selected module must be approved by the Programme Director in advance, and will require formal approval by the Engineering Programme Board. When making your module selection, please also refer to the Stage Text above / Major Information (on SISWeb).
     
AESC10010 Land Use and the Environment Autumn 5
AESC20060 Soil Science Basics Autumn 5
BSEN40500 Hyperspectral imaging Autumn 5
BSEN40740 Soil Technology Autumn 5
BSEN40760 Computers & Electronics in Ag Autumn 5
BSEN40770 Advances in Crop Mechanisation Autumn 5
BSEN40780 Remote Sensing and GIS Autumn 5
CPSC30050 Organic Agriculture Autumn 5
CPSC40010 Cereal Production Autumn 5
HORT20070 Agricultural Botany Autumn 5
STAT40720 Introduction to Data Analytics (Online) Autumn 5
STAT40730 Data Programming with R (Online) Autumn 5
STAT40800 Data Prog with Python (online) Autumn 5
Stage 1 Options - A)6OF:
Students should select 30 credits of Autumn Option modules in consultation with Programme Director to ensure a balanced workload. Across the programme, students are permitted to one 5-credit modules that is not on the list of Option Modules as a Negotiated Option, and the selected module must be approved by the Programme Director in advance, and will require formal approval by the Engineering Programme Board. When making your module selection, please also refer to the Stage Text above / Major Information (on SISWeb).
     
Stage 1 Options - B)6OF:
Students should select 30 credits of Spring Option modules in consultation with the Programme Director to ensure a balanced workload for the Spring Trimester. Across the programme, students are permitted to one 5-credit module that is not on the list of Option Modules as a Negotiated Option, and the selected module must be approved by the Programme Director in advance, and will require formal approval by the Engineering Programme Board. When making your module selection, please also refer to the Stage Text above / Major Information (on SISWeb).
     
AESC30230 Climate, Carbon and Soil Spring 5
AESC40250 Soil Resources Spring 5
ANSC10010 Introduction to Animal Science Spring 5
BSEN30210 Precision Agriculture Spring 5
BSEN30520 Sensors and Sensing Systems Spring 5
BSEN30530 Numerical Methods for Agricult Spring 5
BSEN40510 Precision Livestock Management Spring 5
BSEN40520 Optical Sensing Technology Spring 5
BSEN40750 IoT enabled AgriFood Prod Spring 5
CPSC10010 Introduction to Crop Science Spring 5
CPSC20020 Fundamentals of Arable Crop Production Spring 5
CPSC20030 Principles of Crop Science Spring 5
CPSC30030 Root and Alternative Crop Production Spring 5
STAT30280 Inference for Data Analytics (online) Spring 5
STAT40750 Statistical Machine Learning (online) Spring 5
Stage 1 Options - B)6OF:
Students should select 30 credits of Spring Option modules in consultation with the Programme Director to ensure a balanced workload for the Spring Trimester. Across the programme, students are permitted to one 5-credit module that is not on the list of Option Modules as a Negotiated Option, and the selected module must be approved by the Programme Director in advance, and will require formal approval by the Engineering Programme Board. When making your module selection, please also refer to the Stage Text above / Major Information (on SISWeb).
     
See the UCD Assessment website for further details

Module Weighting Info  
  Award GPA
Programme Module Weightings Rule Description Description >= <=
MTEMP009 Stage 1 - 100.00%
Standard Honours Award First Class Honours

3.68

4.20

Second Class Honours, Grade 1

3.08

3.67

Second Class Honours, Grade 2

2.48

3.07

Pass

2.00

2.47


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