Name: Master of Science
Price: 30600 USD

Speak to our experts

QS Rank:

129

Newcastle University

Newcastle upon Tyne

United Kingdom

Program Rank

130

Overview

View Official page

Data Science and AI MSc

Our master's in Data Science and AI provides a comprehensive grounding in the knowledge and skills required to work within data science and artificial intelligence.

If you're applying for funding, always check the funding application deadline. This deadline may be earlier than the application deadline for your course.

For some funding schemes, you need to have received an offer of a place on a course before you can apply for the funding.

Total Tuition Fees

$30,600

Duration

12 Months

Ranking

#156

US World and News Report

#146

The World University Rankings

#129

QS World University Rankings

Intake

Fall ( Sept - Nov )

Class Profile

Class Size

Language Test Scores

Minimum Score

6.5 / 9

Diversity

Others:

10%

Others:

North East England:

40%

South East England:

30%

London:

20%

Overseas:

International:

25%

Admissions

Application Deadlines

Fall

Round	Deadline	Decision
Standard Deadline	July 28	NA

Eligibility Criteria

Typically we recognise the following:

1st class

Section 1 - 65% or CGPA 6.5/10
Section 2 - 68% or CGPA 6.8/10
Section 3- 70% or CGPA 7.0/10

2.1

Section 1 - 60% or CGPA 6.0/10
Section 2 - 62% or CGPA 6.2/10
Section 3- 65% or CGPA 6.5/10

2.2

Section 1 - 58% or CGPA 5.8/10
Section 2 - 60% or CGPA 6.0/10
Section 3- 63% or CGPA 6.3/10

This can be in any of the following qualifications:

Bachelor Degree
Bachelor Pass or General degree in Arts, Science or Commerce
Bachelor Special or Honours degree
Bachelor degree in professional subjects

Admissions criteria may vary depending on the course you are applying for.

Application Requirements

What Really Matters When Applying

Passport
Required
Personal Statement
Required
IELTS
Required
Resume
Required
Semester wise Marksheet
Required
General LOR
Required

Career Outcomes

Your future

Our Careers Service

Our award-winning Careers Service is one of the largest and best in the country, and we have strong links with employers. We provide an extensive range of opportunities to all students through our ncl+ initiative.

https://www.ncl.ac.uk/careers-occupations/science/out-in-the-field/#about

Top recruiters

Fees and Funding

Tuition Fees

$30,600 / year

Overall Cost

$45,450 / year

Scholarships

One of the important factors when considering a master's degree is the cost of study. Luckily, there are many options available to help students fund their master's programme. Download your copy of the Scholarship Guide to find out which scholarships from around the world could be available to you, and how to apply for them.

In this guide you will find:

Where to look for scholarship opportunities

how_to How to apply to scholarships relevant to you

list A list of available scholarships around the world

A scholarship application checklist

https://www.topuniversities.com/universities/newcastle-university/postgrad/data-science-msc-pgcert

FAQs

What you'll learn This Data Science and AI MSc has three phases. Phase one We’ll introduce you to the core knowledge and skills in statistics and computer science These modules are taught as an intensive block. This means that full-time students are taught two modules simultaneously. Teaching for part-time students is timetabled to accommodate everyone. Phase two Phase two consists of more advanced technical modules, as well as a group project. We'll introduce the aspects that govern all areas of data science practice, including: professionalism legislation ethics During the group project, you'll develop and evaluate a data science solution to a complex, real-world problem. This is in collaboration with industry members. Phase three Phase three is an individual research and development project. You'll receive personal supervision in one of our school research labs. This is in collaboration with industry, or with your current employer. Modules You will study modules on this course. A module is a unit of a course with its own approved aims and outcomes and assessment methods.