Mathematical and Computational Methods

Program Overview

This part-time online program equips students with the skills to design, implement, and critique mathematical analyses of biomedical data. It covers mathematical and statistical methods, programming, and critical thinking, preparing graduates for careers in biomedical research, data analysis, and related fields. The program is designed for individuals with a strong background in bioscience and requires a second-class honours degree or better.

Program Outline

Degree Overview:

• Understand how mathematical and statistical analyses are designed and implemented.
• Learn scripting and integrated development environments.
• Comprehend and critique the analysis of others and guide their own learning.

Objectives:

• Provide students with a strong foundation in mathematical and statistical analysis methods.
• Develop their programming skills to implement data analysis.
• Enhance their critical thinking and problem-solving skills.

Program Description:

This is a part-time program offered fully online for 12 weeks in Semester 1, starting on September 25th, 2023. The program focuses on developing students' understanding of mathematical and statistical frameworks used in analyzing biomedical data and provides them with the skills to implement these analyses using scripting languages and integrated development environments. The program also emphasizes the ability to critique the analysis of others and guide their own learning.

Outline:

The program consists of a single 15-credit module:

Mathematical and Computational Methods in Biomedical Sciences:

This module covers the theoretical and practical aspects of mathematical and statistical analysis methods used in biomedical research. It includes topics such as:

• Introduction to mathematical and statistical analysis
• Data management and manipulation
• Descriptive statistics
• Inferential statistics
• Regression analysis
• Machine learning

Students will have access to a dedicated online learning platform and will receive support from experienced faculty members.

Assessment:

Assessment for the module is conducted through two components:

• Project (Coursework) [50%]: Students will be given a data set and will be required to write code, with guidance, to implement a mathematical analysis of the data set.
This assessment will be broken down into a smaller mid-semester assessment (15%) and a larger end-of-semester assessment (35%).
• Class Test (Written) [50%]: This assessment will primarily cover the mathematical and statistical components of the course and will be conducted in the form of a multi-choice assessment implemented on Blackboard Learn.
Similar to the project, this assessment will be divided into a mid-semester test (15%) and a larger end-of-semester test (35%).

Teaching:

The teaching approach focuses on active learning and student engagement, utilizing a variety of methods such as:

• Interactive lectures: Students are encouraged to participate actively in lectures and ask questions.
• Tutorials: Small group tutorials provide students with an opportunity to apply their knowledge and receive personalized feedback from tutors.
• Practical exercises: Students engage in hands-on exercises to develop their programming skills and data analysis abilities.
• Online learning platform: The dedicated online platform provides students with access to course materials, resources, and communication tools.

Careers:

This program can open doors to various career paths in the biomedical field, including:

• Research Scientist
• Data Analyst
• Biostatistician
• Epidemiologist
• Public Health Specialist

Other:

Northern Ireland, Republic of Ireland and EU Settlements Status Fees:

£559.95

England, Scotland, Wales and the Islands Fees:

£559.95

Additional mandatory costs

It is important to remember that costs associated with accommodation, travel (including car parking charges) and normal living will need to be covered in addition to tuition fees. Payment of Fees and Deposits Fees and Funding Additional mandatory costs It is important to remember that costs associated with accommodation, travel (including car parking charges) and normal living will need to be covered in addition to tuition fees. Where a course has additional mandatory expenses (in addition to tuition fees) we make every effort to highlight them above. We aim to provide students with the learning materials needed to support their studies. Our libraries are a valuable resource with an extensive collection of books and journals, as well as first-class facilities and IT equipment. Computer suites and free Wi-Fi are also available on each of the campuses. Students choosing a period of paid work placement or study abroad as a part of their course should be aware that there may be additional travel and living costs, as well as tuition fees.