THE UNIVERSITY of EDINBURGH

DEGREE REGULATIONS & PROGRAMMES OF STUDY 2020/2021

Information in the Degree Programme Tables may still be subject to change in response to Covid-19

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DRPS : Course Catalogue : Royal (Dick) School of Veterinary Studies : BSc Hons (Royal (Dick) Sch of Veterinary Studies)

Undergraduate Course: Professional Skills for Global Agri-Food Scientists 2 (VETS08014)

Course Outline
SchoolRoyal (Dick) School of Veterinary Studies CollegeCollege of Medicine and Veterinary Medicine
Credit level (Normal year taken)SCQF Level 8 (Year 2 Undergraduate) AvailabilityAvailable to all students
SCQF Credits20 ECTS Credits10
SummaryThis course will add to the fundamental skills gained in Professional skills for Agri-Food Scientists 1. This will include fundamental scientific skills applicable to both academic research and industry, as well as tools and frameworks for supporting business decision making and communication, with an emphasis on developing a marketable skill set for potential employers. The course will focus on how to apply these fundamental skills more closely within a Global Agri-Food context, by dealing with real life case studies and emerging societal, political and environmental challenges to Agri-food industries.
Course description The course will continue to develop scientific skills applicable to both academic research and industry, such as data handling, statistical analysis, and approaches to understanding, searching and organising scientific literature. The course will also develop skills in applying tools and frameworks for supporting business decision making and communication, such as risk analysis, impact assessment, financial analysis and ethical considerations. This dual focus will emphasise the applicability of scientific skills in industrial roles, as well as directly applicable and highly marketable business skills.

Using real life case studies, students will gain experiences and understanding of preparing businesses for both opportunities and challenges arising from technological, societal and political change. They will further be equipped with the ability to use scientific evidence to assess the impact of decision making.
Entry Requirements (not applicable to Visiting Students)
Pre-requisites Co-requisites
Prohibited Combinations Other requirements None
Information for Visiting Students
Pre-requisitesNone
High Demand Course? Yes
Course Delivery Information
Academic year 2020/21, Available to all students (SV1) Quota:  30
Course Start Semester 1
Timetable Timetable
Learning and Teaching activities (Further Info) Total Hours: 200 ( Lecture Hours 20, Seminar/Tutorial Hours 10, Supervised Practical/Workshop/Studio Hours 15, Formative Assessment Hours 30, Summative Assessment Hours 25, Programme Level Learning and Teaching Hours 4, Directed Learning and Independent Learning Hours 96 )
Assessment (Further Info) Written Exam 20 %, Coursework 40 %, Practical Exam 40 %
Additional Information (Assessment) Formative Assessment: Students will build a Mendeley database,
demonstrating that they┐ve engaged with the process of reference
management.

Practise test in class prior to MCQ test

Submit early stage business idea for feedback

Summative Assessment 1 (30%)
MCQ and SAQ exam to cover statistical terminology, basic calculation of
summary statistics, interpretation of data and debugging R code.

Summative Assessment 2 (40%)
Written business plan. Students develop a plan for a business in a region
they┐ve been allocated, building an idea and developing it through research
and prospective financial planning. Work must also include citations and a
Reference List. Feedback will input to Assignment 3.

Summative Assessment 3 (30%)
Each student should give an oral presentation outlining their business, in the
form of a pitch to potential investors. The assignment will focus on
communication skills, as well as marketing and branding elements of their
business.
Feedback Feedback will be supplied within 15 days of the submission deadline
No Exam Information
Learning Outcomes
On completion of this course, the student will be able to:
  1. Demonstrate an understanding of data handling skills, investigation and basic statistical analysis in an agri-food systems context;
  2. Communicate agri-food business relevant information to a range of audiences by oral presentation and written report utilising library searching;
  3. Apply scientific methodology to agri-food industry;
  4. Develop skills in identifying areas of concern for agri-business, gathering evidence and formulating solutions to problems;
  5. Develop skills in risk management and decision making by considering e.g. financial, ethical and environmental impacts.
Reading List
None
Additional Information
Graduate Attributes and Skills Graduate attribute mindsets:
Enquiry and lifelong learning
Aspiration and personal development
Outlook and engagement

Graduate attribute skill groups
Research and enquiry
Personal and intellectual autonomy
Personal effectiveness
Communication
KeywordsNot entered
Contacts
Course organiserDr Ross Davidson
Tel:
Email: ross@bioss.ac.uk
Course secretaryMr Gordon Littlejohn
Tel: (0131 6)51 7454
Email: Gordon.Littlejohn@ed.ac.uk
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