Overview
The MSc in Data Science and Artificial Intelligence is a comprehensive postgraduate conversion degree that invites students from any academic background to explore the rapidly evolving fields of data science and AI. This course is designed to provide students with a robust foundation in essential concepts, practical skills, and the expertise required to excel in these areas. At the University of Suffolk, we believe in a collaborative approach to education, where students are encouraged to bring their enthusiasm and determination to the learning experience.
Why Data Science and Artificial Intelligence at the University of Suffolk?The University of Suffolk stands out for its commitment to student satisfaction and graduate prospects. According to The Complete University Guide 2024, we are ranked 2nd in the East of England for graduate prospects and 6th in the UK for spending on academic services. Our innovative teaching methods and modern facilities contribute to a transformative educational experience, ensuring that students are well-equipped for the demands of the industry. As an accredited AWS Academy institution, the University of Suffolk offers students the opportunity to learn cloud computing through the AWS Academy curriculum, which is delivered by approved AWS Educators. This partnership enhances the learning experience, providing students with the skills needed to thrive in the cloud computing landscape.
Tuition Fee Breakdown- **UK Full-time Tuition Fee:** £9,150 per year - **International Full-time Tuition Fee:** £15,210 per year Visit the Fees and Funding section for a breakdown in your local currency.
SyllabusThe course structure includes the following modules:
- Fundamentals of AI and Data Science: An introduction to AI and data science, covering history, probability, statistics, and machine learning.
- Introduction to Programming and Data Management: Focuses on Python programming, SQL, and relational databases, integrating these technologies for data-oriented applications.
- Cloud Computing for Big Data: Explores cloud computing's impact on data analytics, providing grounding in NoSQL concepts and practical experience with cloud services.
- Deep Learning and Advanced AI Techniques: Offers an in-depth look at deep learning models and their applications in various computational tasks.
- Masters Project: A mandatory project where students apply their knowledge to real-world challenges, often in collaboration with industry partners.
The demand for professionals skilled in data science and AI is rapidly increasing. Research indicates that the number of AI-related job postings in the UK has surged significantly, highlighting a growing need for qualified graduates in this field. Employers are particularly interested in candidates who can develop machine learning models using existing frameworks, making this degree a valuable asset for those looking to enter the workforce.
Careers with Data Science and Artificial IntelligenceGraduates of the MSc in Data Science and Artificial Intelligence will find themselves well-prepared for various roles in the tech industry. Many alumni have successfully secured positions in leading organisations, contributing to projects that leverage data science and AI to drive innovation. The skills acquired during the course enable graduates to pursue careers in sectors such as finance, healthcare, and technology, as well as opportunities for further academic research.
Programme Structure
Courses include:
- Python Programming for AI and Data Science (Requisite)
- SQL and NoSQL Databases (Requisite)
- Data Mining and Statistical AI (Requisite)
- Cloud Computing for AI and Data Science (Requisite)
- Extended Project (Mandatory)
Key information
Duration
- Full-time
- 12 months
- Part-time
- 24 months
Start dates & application deadlines
- StartingApply anytime.
Applications for postgraduate study usually open one year in advance, and applications can be submitted until very close to the start date
Language
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Credits
Delivered
Campus Location
- Ipswich, United Kingdom
Disciplines
Data Science & Big Data Artificial Intelligence View 408 other Masters in Data Science & Big Data in United KingdomWhat students do after studying
Academic requirements
English requirements
Prepare for Your English Test
AI-powered IELTS feedback. Clear, actionable, and tailored to boost your writing & speaking score. No credit card or upfront payment required.
- Trusted by 300k learners
- 98 accuracy using real exam data
- 4.9/5 student rating
Other requirements
General requirements
The University of Suffolk welcomes students from all over the world, and for many of our students English is studied as a second language. The Home Office (UKVI) defines certain countries as "majority English Speaking countries" and nationals from these countries are not normally required to obtain an English language qualification for entry onto our courses. Please check the box below to see the UKVI list of majority English speaking countries. If English is not your first language you may be asked to undertake an English Language assessment to prove your level of English, unless otherwise stated on your country page. Normally, we would expect admitting English language qualification to be no more than two years old at time of entry onto your course. English language qualifications older than this can only be considered on a case-by-case basis.
Tuition Fees
-
International Applies to you
Applies to youNon-residents15930 GBP / year≈ 15930 GBP / year -
Domestic Applies to you
Applies to youCitizens or residents10215 GBP / year≈ 10215 GBP / year
Living costs
Ipswich
The living costs include the total expenses per month, covering accommodation, public transportation, utilities (electricity, internet), books and groceries.
Funding
In order for us to give you accurate scholarship information, we ask that you please confirm a few details and create an account with us.
Scholarships Information
Below you will find Master's scholarship opportunities for Data Science and Artificial Intelligence.
Available Scholarships
You are eligible to apply for these scholarships but a selection process will still be applied by the provider.
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