Data Science and Artificial Intelligence MSc 12 months Postgraduate Programme By Leeds Trinity University |TopUniversities

Data Science and Artificial Intelligence MSc

Programme Duration

12 monthsProgramme duration

Tuitionfee

15,000 GBPTuition Fee/year

Starting Month

SepStarting Month

Programme overview

Main Subject

Data Science and Artificial Intelligence

Degree

MSc

Study Level

Masters

Study Mode

On Campus

Programme overview

Main Subject

Data Science and Artificial Intelligence

Degree

MSc

Study Level

Masters

Study Mode

On Campus

Admission Requirements

79+
59+
6+
105+
169+
2.7+
Designed in collaboration with key stakeholders including students, employers, academics and external advisors, this programme aims to enable you to develop skills of logical, explorative, analytical and critical thinking in intelligent decision support systems.

Delivered by expert lecturers and industry experts with evidence of research within the Data Science and AI field, each module covers essential elements of data and intelligence with increasing complexity of the knowledge and skills you will need to understand in the digital era.

Real-world case studies will be used throughout the course, and you’ll also have the opportunity to carry out a professional work placement, putting into practice what you’ll learn in your taught sessions.

On successful completion of the MSc Data Science and Artificial Intelligence, you could work in a number of roles, which could include Data Analyst, Strategic Data Insight, AI Developer, AI Data Engineer, Business Intelligence Analyst, ML Engineer or Data Scientist. This degree will also prepare you for further study, such as pursuing a PhD.

There are various start dates to suit you.

1 Year
Sep

Tuition fees

Domestic
9,000 GBP
International
15,000 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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