Undergraduate Certificate in Data and Environmental Management

Program Overview

The Undergraduate Certificate in Data and Environmental Management equips students with skills in data collection, analysis, and visualization for informed decision-making in environmental management. The program offers a comprehensive understanding of data science and its applications in environmental contexts, preparing graduates for careers in environmental data analysis, consulting, and sustainability.

Program Outline

Degree Overview:

The Undergraduate Certificate in Data and Environmental Management provides a comprehensive understanding of data science and its applications in environmental management. This hands-on program equips students with skills in data collection, storage, analysis, and visualization, enabling them to make informed decisions based on environmental data.

Objectives:

• Enable students to collect environmental data ethically and scientifically
• Develop proficiency in managing environmental data using appropriate methodologies
• Foster analytical abilities using a range of data analysis tools and techniques
• Enhance communication skills to interpret and present data analysis results effectively

Outline:

The Undergraduate Certificate in Data and Environmental Management consists of four units:

Compulsory Unit:

• KMA153 Data Handling and Statistics 1: Introduces fundamental concepts in statistics and probability, including data collection, descriptive statistics, inferential statistics, and regression analysis.

Geospatial Choice:

• KGG102 Introduction to Spatial Information (currently unavailable): Provides an overview of spatial information, including data acquisition, processing, analysis, and visualization.
• KGG103 Remote Sensing: Introduction (currently unavailable): Explores the principles and applications of remote sensing in environmental monitoring and management.

Geography Choice:

• KGA104 Introduction to the Science of Climate Change: Examines the causes, impacts, and mitigation strategies for climate change.
• KGA172 Nature, People, Place: Explores the intricate relationships between humans and nature, emphasizing the importance of conservation and sustainability.

ICT Choice:

• KIT100 Programming Preparation: Introduces programming fundamentals, including data types, control structures, and problem-solving techniques.
• KIT102 Introduction to Data Science: Covers data management, storage, analysis, visualization, and modeling techniques.

Assessment:

Assessment methods vary depending on the unit but typically include:

• Assignments: Data collection and analysis projects
• Quizzes: Short assessments to check understanding of key concepts
• Examinations: Comprehensive tests of knowledge and analytical skills
• Presentations: Communication of data analysis results

Teaching:

The program is taught by experienced faculty from the School of Natural Sciences (Mathematics) and the School of Geography and Environmental Studies. Teaching methods include:

• Lectures: Presentation of core concepts and theory
• Tutorials: Guided practice and problem-solving sessions
• Practical sessions: Hands-on application of data analysis techniques
• Online resources: Supplementary materials and interactive exercises

Careers:

Graduates with the Undergraduate Certificate in Data and Environmental Management have a wide range of career opportunities in both the public and private sectors, including:

• Environmental data analyst
• Environmental consultant
• Natural resource manager
• Sustainability officer
• GIS specialist
• Data scientist