Applied Data Science and Modelling MSc

Program Overview

The MSc Applied Data Science and Modelling program at the University of Exeter equips students with the skills to utilize data science and mathematical models to address real-world challenges, particularly related to sustainability. The interdisciplinary program combines foundational principles with practical applications, preparing graduates for careers in the growing data analytics sector, especially in sustainability-focused roles. Students engage in collaborative projects with industry, charities, and public sector organizations, enhancing their stakeholder engagement and communication skills.

Program Outline

Degree Overview:

This MSc program aims to equip students with the knowledge and skills to utilize real-world data and mathematical models to address significant societal challenges of the 21st century. The program emphasizes an interdisciplinary approach, blending the "Big Data revolution" with modern mathematical modeling within a challenges-led learning environment.

Key Objectives:

• Gain a comprehensive understanding of data science and mathematical modeling.
• Develop confidence in applying these skills to real-world problems.
• Address major societal issues, particularly those related to sustainability.
• Collaborate with industry, charities, and public sector organizations.
• Enhance data science and modeling skills through practical project work.
• Prepare for successful careers in the growing data analytics sector.

Outline:

The program is structured across three terms, with a focus on developing core skills and applying them to real-world challenges.

Term 1:

• Fundamentals of Data Science: This module provides a foundation in data science principles and techniques.
• Computational Modelling and Simulation: This module introduces students to computational modeling and simulation methods.

Term 2:

• Trends in Data Science and Artificial Intelligence: This module explores cutting-edge methods in data science and artificial intelligence.
• Optional Modules: Students can choose from modules like Complex Systems and Applied Artificial Intelligence and Control, depending on their interests.
• Tackling Sustainability Challenges using Data and Models: This interdisciplinary module allows students to apply their data science and modeling skills to real-world sustainability challenges.

Term 3:

• Data Science and Modelling Dissertation: Students undertake an advanced project, applying their knowledge and skills to a specific data science and modeling problem.

Assessment:

The program utilizes a variety of assessment methods, including:

• Exams: Evaluates understanding of core concepts and principles.
• Assignments: Assesses application of knowledge and skills to practical problems.
• Project: Demonstrates the ability to conduct independent research and apply data science and modeling techniques to a complex problem.

Teaching:

• Expert Faculty: The program is taught by experienced faculty members who are active researchers and practitioners in the field.
• Interdisciplinary Approach: The program encourages collaboration between students and faculty from different disciplines, fostering a rich learning environment.
• Real-World Applications: The program emphasizes the application of data science and modeling to real-world challenges, providing students with practical experience.
• State-of-the-Art Facilities: Students have access to state-of-the-art facilities and software, enabling them to develop their skills and conduct research.

Careers:

The MSc Applied Data Science and Modelling program prepares graduates for a wide range of careers in the growing data analytics sector, particularly in relation to sustainability challenges.

Potential Career Paths:

• Data Scientist
• Data Analyst
• Machine Learning Engineer
• Research Scientist
• Sustainability Consultant
• Policy Analyst

Opportunities:

• The UK's data analytics sector is predicted to grow significantly in the coming years, creating numerous job opportunities.
• The increasing focus on renewable energy and sustainability creates a high demand for data science and modeling professionals.
• Graduates can find employment in various sectors, including government, industry, and non-profit organizations.

Employer-Valued Skills:

• Data science, modeling, and programming skills.
• Stakeholder engagement and advanced teamwork skills.
• Students have access to the Graduate School of Environment and Sustainability, a vibrant postgraduate community that fosters interdisciplinary learning and collaboration.
• The program is led by the Centre for Environmental Mathematics, which conducts internationally recognized research and collaborates with industry, public, and charitable sectors.

2024/25 entry UK fees per year: £12,100 full-time International fees per year: £27,500 full-time