Data Science and AI
Birkbeck, University of LondonAbout this course
Why choose this course?
What you will learn
You will gain a broad knowledge of data science including tools, techniques and applications, and acquire valuable practical problem-solving and analytical skills. You will also acquire strong programming and data analysis skills using Python and R - the most popular programming languages used by data scientists today.
Your training in artificial intelligence will involve machine learning, neural networks and natural language processing, so that you can gain in-depth knowledge and understanding of current AI techniques and applications. You will benefit from the chance to investigate specific areas of current research more deeply too.
How you will learn
This MSc Data Science and AI is available to study full- or part-time. If you choose full-time study, you will be able to start in either January or October. Part-time study starts in October. Both involve a mixture of daytime and evening classes and you will be taught via lectures, group exercises and practical sessions, for example in programming.
To complete the course, you will undertake your own individual project, supported by a member of our academic team, to investigate in depth an aspect of data science and AI that particularly interests you.
Highlights
Careers and employability
On successfully completing this MSc Data Science and AI, you will have gained an array of valuable transferable skills, including the ability to:
You will find data science and AI graduates following career paths in the following kinds of roles:
Study Options
This course is available in 2 study options:
Duration: 1 Year
Qualification: MSc
Location: London
Duration: 2 Years
Qualification: MSc
Location: London
Career Prospects
Graduates from this course typically go into the following occupations:
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Course Details
- Qualification
- MSc
- Study Mode
- Full-time
- Duration
- 1 Year
- Start Date
- 2025
- Academic Year
- 2025
- Campus / Location
- London
- Scheme
- Postgraduate
- Subjects
- Computer science