MSc Applied AI and Data Science
Southampton, Solent University
Student rating
This is the overall rating calculated by averaging all live reviews for this uni on Whatuni.
( 4.1) View reviews

Want to know what it's like to study this course at uni? We've got all the key info, from entry requirements to the modules on offer. If that all sounds good, why not check out reviews from real students or even book onto an upcoming open days?

Different course options
5 options available
academic-cap
Qualification

MSc - Master of Science

location-pin
Location

Main Campus

beaker
Study mode

Full Time

calendar
Start date

SEP-25

time
Duration

1 Year

Course info

Select a course option


Qualification

MSc - Master of Science

Location

Main Campus

Study mode

Full Time

Start date

SEP-26

Duration

1 Year

SELECT

Qualification

MSc - Master of Science

Location

Main Campus

Study mode

Full Time

Start date

MAY-26

Duration

1 Year

SELECT

Qualification

MSc - Master of Science

Location

Main Campus

Study mode

Full Time

Start date

JAN-26

Duration

1 Year

SELECT

Qualification

MSc - Master of Science

Location

Main Campus

Study mode

Full Time

Start date

MAY

Duration

1 Year

SELECT

Qualification

MSc - Master of Science

Location

Main Campus

Study mode

Full Time

Start date

SEP-25

Duration

1 Year

SELECTED

Subjects

Select a subject


Computer Science
SELECTED

Exam type

Select a an exam type


Location

Select student location


Rest of World
SELECTED

Course info

This postgraduate conversion course has been designed to increase AI and data science experts in the UK market with the support of the OfS and industrial partners, including IBM, Motion-Robotics, Barter For Things Ltd, 451 Research, and University Hospital Southampton. This course is also suitable for those who may not have a computer science or STEM academic background, but wish to start a new career in AI and data science.Throughout the course you will explore fundamental principles and ...Read more

This postgraduate conversion course has been designed to increase AI and data science experts in the UK market with the support of the OfS and industrial partners, including IBM, Motion-Robotics, Barter For Things Ltd, 451 Research, and University Hospital Southampton. This course is also suitable for those who may not have a computer science or STEM academic background, but wish to start a new career in AI and data science.Throughout the course you will explore fundamental principles and techniques, and will be supported to develop the practical skills to apply to AI and data science techniques to solve real-world problems.The recent growth and developments in AI and data science is bringing significant social, economic, and health benefits to the world. Using AI and data science techniques, digital machines can analyse and learn from big datasets, and discover more efficient ways to do complex tasks and make intelligent decisions with much higher accuracy and speed than human beings.Automation of routine or mundane tasks is also a big feature of AI. This is boosting the global economy by transforming business models across all sectors like healthcare, science, finance, banking, sales, marketing, manufacturing, engineering, construction, travel, leisure, hospitality, environmental monitoring, transport, and logistics. AI enabled applications have already become an integral part of our life. When you speak to Siri or interact with Cortana, AI and data science algorithms are running behind them. Other exciting applications include medical diagnostics, speech recognition and synthesis, robotics, autonomous vehicles, stock price prediction, chatbots, natural language processing, and language translation. Currently, AI is also being used to research Covid-19 treatments and vaccines.The recent growth and developments in AI and data science is bringing significant social, economic, and health benefits to the world. Using AI and data science techniques, digital machines can analyse and learn from big datasets, and discover more efficient ways to do complex tasks and make intelligent decisions with much higher accuracy and speed than human beings.

Key stats

WUSCA ranking:
WUSCA student ranking
These are the 2025 rankings, based on ratings given by past and current students.
90/279
CUG Subject Ranking
CUG Subject Ranking
Source: Complete University Guide 2025
101st
CUG Ranking
CUG Ranking
Source: Complete University Guide 2025
102nd
What students say
R
ramanjeet
20 Feb 24

fabulous..Read more

M
MATHEW
26 Oct 23

In terms of stem education, every department in university should develop its own culture and heritage. Solent is way to go for that. Good thing that they provide opportunities..Read more

Modules

Modules (Year 1)
IDP Connect

Entry requirements

Honours degree at 2:2 or higher in any discipline, or extensive industrial experience in this area. Applicants should be able to show an interest in learning coding, AI and Data Science techniques. Qualifications equivalent to the above may also be considered – contact the University for further information. We also consider candidates with alternative qualifications and related professional experience.

Tuition fees

Students living in

Rest of World

£17,065 per year

This information is updated by IDP Connect, or in some cases the institution directly.
Please note: The fees might vary so please make sure you contact the institution for up to date information.

Students from International

The amount you'll pay if you come to study here from a country outside the EU.

Accommodation (Non en-suite rooms) - Starting 113.40 per week

IDP Connect

Latest reviews

Latest Data Science reviews

Data Science
Data Science
R
ramanjeet
20 Feb 24
MSc Applied AI and Data Science
fabulous...
Read more
M
MATHEW
26 Oct 23
MSc Applied AI and Data Science
In terms of stem education, every department in university should develop its own culture and heritage. Solent is way to go for that. Good thing that they provide opportunities...
Read more
Review breakdown
University rating
University rating
Students' union
Societies and Sports
University halls
Facilities
Lecturers and teaching quality
Local life
Career prospects
Student support
Location
Campus look and feel
Student life
Course rating
Course content
Work placements and internships
Tutor contact time
Subject facilities
University location
Cost of living
Safety
Public transport
Part-time work opportunities
Graduate employment opportunities
Diversity
Location
Safety
Room allocation
Internet/wifi
Value for money
Property management

How Data Science students rated:

Student rating
( 4.0) 3 reviews
5 star
34%
4 stars
33%
3 stars
33%
2 stars
0%
1 star
0%

How all students rated:

Student rating
( 4.1) 476 reviews
5 star
39%
4 stars
44%
3 stars
14%
2 stars
2%
1 star
1%
Search reviews that mention