Online MSc Computer Science with Artificial Intelligence

Program Overview

This online Master's program in Computer Science with Artificial Intelligence equips students with the knowledge and skills necessary for a successful career in AI. The program is designed for individuals with no prior experience in computer science or AI and covers a wide range of topics, including AI techniques, programming languages, and industry-led projects. Graduates are prepared for a variety of careers in the fast-growing AI sector, including AI Engineer, Data Scientist, and Machine Learning Engineer.

Program Outline

Degree Overview:

Objective:

• To equip students with the knowledge and skills necessary to succeed in artificial intelligence careers.
• To provide students with in-demand skills and the ability to solve real-world problems.
• To prepare students for a wide range of careers in the fast-growing AI sector.

Program Description:

• This online Master's program is designed for individuals who want to embark on a career in artificial intelligence.
• No prior academic or professional experience in computer science or artificial intelligence is required to enroll in the course.
• Students will learn about artificial intelligence techniques and their applications in key fields such as social media analysis, image processing, data mining, speech processing, and automated marketing recommendations.
• The program will also teach students programming languages, including Python, R, and Matlab.
• The program is flexible and can be studied from anywhere in the world.
• Students can fit their studies around their full-time work and family commitments.
• The program is industry-led and benefits from the department's collaborative projects with industry partners.

Outline:

Program Content:

• Applications of AI and machine learning
• Mathematics for AI and data science
• Statistical data analytics and databases
• Design and programming
• User interaction design
• Software engineering
• Web technologies and security
• Research and consultancy skills

Program Structure:

• The program is 180 credits and can be completed in 2 years part-time.
• The program is divided into 12 modules, each worth 15 credits.
• Students can take the modules in any order.
• The program is delivered online through a virtual learning environment.
• Students will have access to a dedicated Keele Student Success Coordinator who will support them throughout their studies.

Course Schedule:

• There are six start dates per year.
• The next start date is June 25, 2024.
• The application deadline for the June 25 start date is June 11, 2024.
• The deadline for submitting documents for the June 25 start date is June 18, 2024.

Individual Modules:

• Applications of AI and Machine Learning: This module equips students with an understanding and practical experience of a range of cutting-edge AI and machine learning techniques applied to authentic problems and datasets.
It covers algorithms, data structures, data storage and manipulation, and user interfaces, and introduces object-oriented programming.
• User Interaction Design: This module provides a comprehensive knowledge of user interaction design and related techniques.
• Software Engineering with Group Project: This module prepares students for the experience of working as part of a development team.
Students will combine this experience with overcoming the practical difficulties of working with real-world clients to produce applications which will be applied by those clients.
• Web Technologies and Security: This module teaches students how to build commercially viable and richly interactive internet or web applications with particular emphasis on mobile web applications.
• Research and Consultancy Skills: This module enhances students' skills and knowledge in areas such as communication and problem solving skills, ethical, legal, and social issues, modern group working techniques specific to computing, design and management of research and consultancy activities, and selecting suitable formats and styles of presentation.
• MSc Project Literature Review and Problem Formulation: This module enables students to survey and evaluate a research or business problem within the discipline for exploration within the MSc Project.
• Some modules will be assessed through coursework, while others will be assessed through exams or a combination of coursework and exams.
• The assessment criteria for the program are designed to assess students' knowledge and understanding of the subject matter, as well as their ability to apply their knowledge and skills to real-world problems.

Teaching:

• The program is taught by a team of experienced and qualified academics.
• The academics are all experts in their respective fields and have a passion for teaching.
• The program uses a variety of teaching methods, including lectures, seminars, tutorials, and online learning activities.
• The program also benefits from the department's collaborative projects with industry partners.

Careers:

• The program prepares students for a wide range of careers in the AI sector.
• Some potential career paths for graduates of the program include:
• AI Engineer
• Data Scientist
• Machine Learning Engineer
• Robotics Engineer
• Software Developer
• Research Scientist
• The program also equips students with the skills and knowledge they need to start their own businesses.

Other:

• The program is delivered in partnership with HEP (Higher Ed Partners).
• The program is accredited by the British Computer Society (BCS).
• The program is designed to meet the needs of employers in the AI sector.
• The program is offered at a competitive price.

Total MSc fees: £7,440 Per 15-credit module fee: £620 If you are based in the UK or the EU, you may be eligible for a government postgraduate loan to cover the full course fees.