Data Science MSc

1 Year On Campus Masters Program

University of Birmingham

Program Overview

The MSc Data Science at the University of Birmingham is a comprehensive, STEM-designated postgraduate program that equips students with the knowledge and technical skills to extract, process, and analyse data at scale. It integrates elements of computer science, statistics, and artificial intelligence, preparing graduates to tackle complex data challenges in business, technology, healthcare, and research.

Designed for students with a numerate background, this program balances theoretical foundations with hands-on learning and offers pathways into both industry and research careers.

Program Format & Duration

  • Full-time, on-campus (Edgbaston campus, Birmingham, UK)

  • Duration: 1 year (12 months)

  • Start Date: September

  • Degree Awarded: MSc Data Science

  • School: School of Computer Science

Core Curriculum Components

The curriculum provides a strong foundation in core areas of data science while allowing for elective specialization in advanced topics.

Core Modules

  1. Fundamentals of Data Science

    • Data Science Foundations

    • Principles of Machine Learning

    • Statistics for Data Science

    • Data Mining and Pattern Recognition

  2. Computational Tools and Technologies

    • Big Data and Cloud Computing

    • Programming for Data Science (Python, R)

    • Database Systems and Data Management

    • Visualisation and Communication of Data

  3. Advanced Topics (Electives may include):

    • Deep Learning

    • Natural Language Processing

    • Reinforcement Learning

    • Computational Intelligence

    • AI for Decision Support

  4. Research Project / Dissertation

    • A major independent project carried out under faculty supervision

    • Students analyse a substantial data problem, often in collaboration with industry or research partners

    • Project includes a written dissertation and final presentation

Experiential Learning (Research, Projects, Internships etc.)

The Birmingham MSc Data Science program incorporates extensive practical experience and applied learning opportunities.

Capstone Research Project

  • Conducted over the summer term

  • Real-world data and research problems from industry or academic partners

  • Allows students to apply techniques from across the curriculum in a cohesive, self-directed study

Industry Engagement

  • Opportunities to engage with Birmingham's network of employers and partners in the West Midlands and beyond

  • Guest lectures, hackathons, and collaborative projects with local businesses

  • Exposure to applications in sectors such as healthcare, finance, logistics, and digital media

Technical Skill Development

  • Practical labs and group assignments focus on real datasets

  • Use of modern tools such as Python, TensorFlow, SQL, and Hadoop

  • Emphasis on reproducible research and ethical data usage

Progression & Future Opportunities

Graduates of the University of Birmingham’s MSc in Data Science are highly employable in data-intensive roles across multiple industries.

Career Outcomes

Common job roles include:

  • Data Scientist

  • Machine Learning Engineer

  • Data Analyst

  • AI Developer

  • Data Engineer

  • Business Intelligence Consultant

Top Employers

Graduates have secured roles in:

  • Amazon, IBM, Deloitte, Capgemini

  • NHS and healthcare data firms

  • FinTech and consulting companies

  • Public sector agencies and NGOs

  • Startups and AI-focused enterprises

Further Study

Graduates may also pursue:

  • PhD programs in Data Science, Computer Science, or AI

  • Research fellowships in applied analytics, biomedical data, or computational social science

  • Advanced certifications or postgraduate diplomas in niche tech areas

Program Key Stats

£30,370
£ 50
Sept Intake : 4th Jul


60 %
No

Eligibility Criteria


NA
NA
NA
NA
6.5
88
2:1
1400
25

Additional Information & Requirements

Career Options

  • Data analyst
  • Data scientist
  • Software engineer
  • Machine learning engineer
  • Big data engineer
  • Research scientist
  • Data mining engineer
  • Business analyst
  • Data architect
  • Systems analyst

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