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Last modified: 22 May 2019 17:07

Course Overview

The course will provide the students with valuable skills required in developing their research and general study skills, essential for their progression during the MSc programme, as well as to the rest of their academic and professional careers. The course introduces basic statistical analysis, teaches data handling skills and exposes students to literature searching and reference styles. During the course, students will get experience in handling real-life, large data sets and will work together with the lecturer and demonstrators in analysing the data and presenting the results.

Course Details

Study Type Postgraduate Level 5
Session First Sub Session Credit Points 15 credits (7.5 ECTS credits)
Campus None. Sustained Study No
  • Dr Vasilis Louca

What courses & programmes must have been taken before this course?

  • One of MRes Environmental Science or MRes Soil Science or Master Of Science In Marine Conservation or MSc Applied Marine and Fisheries Ecology or Master Of Science In Ecology & Conservation or Master Of Science In Environmental And Forest Management or MSc Soil Science or Master Of Science In Environmental Pollution And Remediation or Master Of Science In Environmental Management or Master Of Science In Environmental And Ecological Sciences or MSc Environmental Science or MSci Biological Sciences
  • Either Any Postgraduate Programme or BI4015 Grant Proposal (Passed)

What other courses must be taken with this course?


What courses cannot be taken with this course?

Are there a limited number of places available?


Course Description

The main aim of this course is to enable students coming from a range of backgrounds and studying environmental science, ecology, soil science and forestry the opportunity to enhance their core skills related to literature searches, critical reading of literature, processing data, statistical analysis of data, and to make the link between data collection and analysis, and interpreting statistical analysis to draw conclusions that address a research question.

Associated Costs


In light of Covid-19 this information is indicative and may be subject to change.

Contact Teaching Time

Information on contact teaching time is available from the course guide.

Teaching Breakdown

  • 1 Computer Practical during University week7
  • 2 Computer Practicals during University weeks 8, 12
  • 3 Computer Practicals during University weeks 9 - 11
  • 1 Field Course during University week7
  • 4 Seminars during University weeks 7 - 8
  • 3 Seminars during University week9
  • 2 Seminars during University week10
  • 1 Seminar during University week11

More Information about Week Numbers

In light of Covid-19 and the move to blended learning delivery the assessment information advertised for second half-session courses may be subject to change. All updates for second-half session courses will be actioned in advance of the second half-session teaching starting. Please check back regularly for updates.

Summative Assessments

1 written assessment (75%)

3 online quizzes (25%)

Resit assessment: As described in the MSc programme handbook

Formative Assessment

A range of formative exercises will be available throughout the course.


Timely feedback will be provided on both formative and summative assessments.

Course Learning Outcomes


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