Taught course

Data Science and Computational Intelligence

Institution
Coventry University Online
Qualifications
MSc

Entry requirements

An honours degree 2:2 or above (or international equivalent) in a relevant discipline such as computer science, mathematics, statistics or engineering.

Months of entry

January, March, May, July, September, November

Course content

Our part-time, 100%-online Data Science and Computational Intelligence MSc course is designed to help you develop knowledge and skills relevant in a rapidly evolving field.

Key highlights include:

  • a curriculum covering machine learning, deep learning, generative AI, reinforcement learning, and big data systems
  • modules designed to strengthen your ability to extract insights from structured and unstructured data using advanced algorithms
  • a focus on ethical, legal, and professional considerations, including data governance and responsible AI opportunities to develop leadership skills through the CMI Level 7 Certificate in Strategic Management and Leadership Practice, awarded upon successful completion of the “Data Science Professional” module.

Why study this course

This course is designed to:

  • provide a deep understanding of data science methods and computational intelligence techniques
  • equip you with practical skills to apply machine learning and AI models to real-world datasets
  • help you develop expertise in data management, cloud computing, and distributed systems
  • prepare you for leadership roles in data-driven organisations.

Want to study your full Data Science and Computational Intelligence MSc on campus? Learn more about our campus-led Data Science and Computational Intelligence MSc here.

Please use the official Coventry University website as your main source of information as our courses are subject to change throughout the year.

Qualification, course duration and attendance options

  • MSc
    part time
    24 months
    • Online learningis available for this qualification

Course contact details

Phone
+44 (0) 24 776 54000