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Data Science

Computing, Engineering and Technology

Taught

MSc

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

Overview

The MSc in Data Science equips students with essential skills to ethically apply data for societal improvement, focusing on computational and statistical principles. It prepares graduates for data science roles and emphasizes interdisciplinary applications, ethical understanding, and project management. The program is co-designed with industry partners to ensure relevance and high-quality education.

Application Timeline

  1. September 1, 2025
    Start date
  2. April 10, 2026
    Today

Tuition

Year 1
Student categories Study
Full-time Part-time
England£18,400N/A
Northern Ireland£18,400N/A
Scotland£18,400N/A
Wales£18,400N/A
Channel Islands£18,400N/A
EU£35,500N/A
International£35,500N/A

Requirements

Entry Requirements:
Language Requirements

Language requirements information is currently unavailable.

Modules

Modules is currently unavailable

Please check back later for updates.

About

The MSc in Data Science is designed to equip individuals with the skills necessary to responsibly use data to improve the world. It focuses on the computational and statistical principles of modern data science, emphasizing ethical applications to real-world challenges.

Program Highlights

  • Suitable for individuals with backgrounds in numerate sciences, engineering, or computer science.
  • Prepares graduates for roles as data scientists or data engineers, as well as research and development positions.

Key Objectives of the MSc Program

  • Interdisciplinary Application: Equip students to work across various disciplines to deploy data-intensive
...

Subject Area Information

Data management is a critical discipline that encompasses the practices, architectural techniques, and tools for achieving consistent access to and delivery of data across a wide range of subjects and applications. Courses in data management are designed to equip students with the skills necessary to handle, store, and analyze data efficiently and securely.

Typical Course Structure
  • 1. Introduction to Data Management

  • 2. Database Management Systems (DBMS)

  • 3. Data Warehousing and Business Intelligence

  • 4. Big Data Technologies

  • 5. Data Security and Privacy

  • 6. Data Governance and Ethics

Typical Skills Acquired
  • Understanding of fundamental data management concepts
  • Ability to identify and address data quality issues
  • Knowledge of data governance frameworks
  • Proficiency in SQL
  • Ability to design and implement relational databases
  • Understanding of NoSQL databases
  • Ability to process large datasets
  • Knowledge of data encryption techniques
  • Ability to implement access control measures
  • Understanding of ethical issues in data management

Career

Upon completing courses in data management, students can pursue a variety of professions in the data-driven world.

Potential Professions
  • Data Analyst

    Analyzing data to provide actionable insights.

  • Database Administrator

    Managing and maintaining database systems.

  • Data Engineer

    Designing and building data pipelines and infrastructure.

  • Business Intelligence Analyst

    Using data to support business decision-making.

  • Data Scientist

    Applying statistical and machine learning techniques to analyze and interpret complex data.

  • Data Governance Specialist

    Ensuring data quality and compliance with regulations.

  • Big Data Engineer

    Working with big data technologies to process and analyze large datasets.

Similar courses

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Beacon House, Queens Rd, Bristol, BS8 1QU
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Contact

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Beacon House, Queens Rd, Bristol, BS8 1QU
Get expert guidance

Enhance your academic journey with the help from our experts.

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