Artificial Intelligence and Adaptive Systems (with an industrial placement year) MSc 24 months Postgraduate Program By University of Sussex |Top Universities
Program Duration

24 monthsProgram duration

Tuitionfee

31,500 GBPTuition Fee/year

Application Deadline

01 Aug, 2025Application Deadline

Main Subject Area

Data Science and Artificial IntelligenceMain Subject Area

Program overview

Main Subject

Data Science and Artificial Intelligence

Degree

MSc

Study Level

Masters

Study Mode

On Campus

In the Age of Artificial Intelligence (AI), the study of intelligent and adaptive systems is essential. On this course, you’ll develop a strong understanding of the field through areas such as machine learning, natural language processing, robotics,...
Read more

Program overview

Main Subject

Data Science and Artificial Intelligence

Degree

MSc

Study Level

Masters

Study Mode

On Campus

In the Age of Artificial Intelligence (AI), the study of intelligent and adaptive systems is essential. On this course, you’ll develop a strong understanding of the field through areas such as machine learning, natural language processing, robotics,...
Read more

Admission Requirements

69+
3+
80+
59+
6+

Degree requirements: You should normally have an upper second-class (2.1) undergraduate honours degree or above.

Subject-specific requirements: Your qualification should be in a scientific or technical subject or other discipline (including computing and cognitive subjects) demonstrating either numeracy or computer literacy. You may also be considered for the course if you have other professional qualifications or experience of equivalent standing.

01 Aug 2025
2 Years
Sep

  • Candidates are required to submit an essay(s) for acceptance

Tuition fees

Domestic Students

15,050 GBP
-

International Students

31,500 GBP
-

Scholarships

Selecting the right scholarship can be a daunting process. With countless options available, students often find themselves overwhelmed and confused. The decision can be especially stressful for those facing financial constraints or pursuing specific academic or career goals.

To help students navigate this challenging process, we recommend the following articles:

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