MSc Data Science and Artificial Intelligence

Program Overview

MSc Data Science and Artificial Intelligence

Overview

The MSc Data Science and Artificial Intelligence is a postgraduate conversion degree. It is a partnership between us and you – we will give you the opportunities to gain deep knowledge, practical skills and meaningful expertise in data science and artificial intelligence, you bring enthusiasm, determination and a willingness to learn and make the most of the opportunities.

The University of Suffolk is an accredited AWS Academy, allowing students on the MSc Data Science and Artificial Intelligence degree to be taught the AWS Academy cloud computing curriculum by approved AWS Educators.

This is a conversion course so your undergraduate degree can be in any subject.

The University of Suffolk is world-class and committed to our region. We are proudly modern and innovative and we believe in transformative education. We are on the rise with a focus on student satisfaction, graduate prospects, spending on academic services and student facilities.

Course Structure

• Fundamentals of AI and Data Science (Requisite) This module provides an introduction to the artificial intelligence (AI) and data science fields, covering the history of AI and exploring a variety of fundamental topics, such as probability, statistics and machine learning.
• Introduction to Programming and Data Management (Requisite) Python is a popular programming language used by scientists working in the fields of artificial intelligence and data science. SQL (Structured Query Language) is a language used to query data stored in a relational database where large datasets are organised across multiple interconnected tables.
• Cloud Computing for Big Data (Requisite) The evolution of big data analytics has been significantly influenced by the advent of cloud computing. Historically, data analytics required substantial on-premises infrastructure, which was both costly and inflexible.
• Deep Learning and Advanced AI Techniques (Requisite) Recent advancements in computing power, large-scale datasets and key theoretical insights have propelled the development of deep learning techniques.
• Masters Project (Mandatory) The Masters Project is the culmination of our taught MSc degrees. This project is your opportunity to apply the knowledge and skills acquired from all the earlier modules on a real task – it is very likely a project proposed by a company or research organisation.

Entry Requirements

• UK Academic Requirements An undergraduate degree with a minimum of 2:2 classification. Other qualifications, relevant work and life experience may be taken into account.
• International Requirements Please select your country of permanent residence from the list below, specific requirements for your country will then be shown.
• Transferring Credit If you have previously studied at higher education level before you may be able to transfer credits to a related course at the University of Suffolk and reduce the period of study time necessary to achieve your degree.

Career Opportunities

Employer demand for people skilled in Data Science and AI is proven. The number of AI jobs in the UK listed on its online jobs board grew 485% between 2014 and 2017 according to research from the job website ‘Indeed’. Gartner’s survey on AI revealed that there is a rapid growth in the number of AI based jobs in big organisations, and a tempo change from 4 projects per organisation in 2019 to 10 projects in 2020 and accelerating to an expected 35 projects in 2022.

Your Course Team

• Dr Adnane Ez-zizi Dr Adnane Ez-zizi is a Senior Lecturer in Artificial Intelligence and Course Leader for the MSc Data Science and Artificial Intelligence.
• Dr Kakia Chatsiou Kakia is a Lecturer in Computing with expertise in machine learning, information management systems and data science.
• Hisham Jaward Hisham is a lecturer in Computing and AI. Work at previous universities in Monash, Bristol and Imperial College, UK, have included developing algorithms.
• Steven Harris Steve maintains an active interest in 'serious games' including, gaming for the visually impaired and early years educational games.

Fees and Funding

• 2025/26
  • UK Full-time Tuition Fee £10,215 per year
  • UK Part-time Tuition Fee £1,703 per 30 credit module
  • International Full-time Tuition Fee £15,930 per year

Facilities and Resources

Teaching is intended to take place in the DigiTech Centre at Adastral Park, which was unveiled by Her Royal Highness the Princess Royal on 12th November 2019. A collaboration between University of Suffolk and BT, with funding from the New Anglia Local Enterprise Partnership (LEP), it has been established to provide training in cutting-edge digital skills for people looking to pursue careers in the nationally-important information and communications technology (ICT) sector, as well as fuelling high tech businesses who increasingly require access to a talented technology workforce. The centre will form part of the growing ‘Innovation Martlesham’ technology cluster at Adastral Park, home of the globally recognised BT Labs and more than 130 companies ranging from start-ups to multinational corporations such as Microsoft, Tech Mahindra and Cisco.

Nearly ten million pounds of investment is going into remodelling existing buildings, purchasing specialist equipment and creating a number of high-end labs. These include: Data Science and Artificial Intelligence (AI) Laboratory; Smart Systems living lab; Cyber Range (Digital forensics and cyber security); Visualisation, gamification and immersive environments.