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Human-Centred Big Data and Artificial Intelligence

Physical Sciences

Taught

MSc

  • Overview
  • Application Timeline
  • Tuition
  • Requirements
  • Modules
  • About
  • Subject Area Information
  • Career
  • Similar courses

Overview

The Computational Science Program trains students to tackle real-world challenges using big data and AI, emphasizing human potential and innovation. Students collaborate with industry leaders and enhance their skills through various activities. For funding details, visit the Swansea University website.

Application Timeline

  1. September 1, 2025
    Start date
  2. April 29, 2026
    Today

Tuition

Year 1
Student categories Study
Full-time Part-time
England£10,850N/A
Northern Ireland£10,850N/A
Scotland£10,850N/A
Wales£10,850N/A
EU£21,100N/A
International£21,100N/A

Requirements

Entry Requirements:
Language Requirements

Language requirements information is currently unavailable.

Modules

Modules is currently unavailable

Please check back later for updates.

About

Program Overview

This program offers training in computational science, focusing on real-world challenges that aim to transform society and the economy. It emphasizes human potential and innovation in the context of big data and artificial intelligence.

Key Features

  • Major Project: Collaborate with world-class partners such as Google, Facebook, NHS, Tata Steel, Ford, and Microsoft.
  • Skill Enhancement: Participate in activities like sandpits, retreats, and focused training events.
  • Human-Centered Methods: Learn methods that amplify human potential in the fields of big data and AI.

Additional Information

For more details on fees, scholarships,...

Subject Area Information

Computational physics is an interdisciplinary field that merges the principles of physics with computational techniques to solve complex physical problems. This discipline is essential for tackling problems that are analytically intractable and require numerical methods and computer simulations.

Typical Course Structure
  • 1. Introduction to Computational Physics

  • 2. Numerical Methods for Physicists

  • 3. Simulation Techniques

  • 4. Computational Quantum Mechanics

  • 5. High-Performance Computing (HPC)

  • 6. Data Analysis and Visualization

Typical Skills Acquired
  • Programming Proficiency
  • Numerical Analysis
  • Simulation Expertise
  • Data Handling
  • Problem-Solving

Career

Graduates of computational physics can pursue a variety of careers in academia, industry, and research institutions.

Potential Professions
  • Research Scientist

    Conducting research in national laboratories, universities, or private research firms.

  • Software Developer

    Developing scientific software for simulations and data analysis.

  • Data Scientist

    Applying computational techniques to analyze and interpret complex datasets in various industries.

  • Quantitative Analyst

    Working in finance to model and predict market behaviors using computational methods.

  • High-Performance Computing Specialist

    Managing and optimizing supercomputing resources for scientific research.

Similar courses

Contact

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Singleton Park, Swansea, West Glamorgan, SA2 8PP
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Contact

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Singleton Park, Swansea, West Glamorgan, SA2 8PP
Get expert guidance

Enhance your academic journey with the help from our experts.

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