MSc Computer Science

Program Overview

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The MSc Computer Science program at City, University of London is designed for individuals seeking to upskill into digital careers. It provides a comprehensive understanding of computer science fundamentals through a flexible, 100% online format. Graduates emerge with highly sought-after skills, preparing them for diverse roles in various industries, including finance, technology, and government. The program offers a combination of core modules and electives, allowing students to tailor their learning journey to their specific career aspirations.

Program Outline

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MSc Computer Science at City, University of London

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Degree Overview

It provides them with the real-world skills and knowledge needed to thrive in various IT roles.

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Objectives:

• Equip students with the technical skills and knowledge necessary for success in the IT industry.
• Provide a comprehensive understanding of computer science fundamentals, including programming, software engineering, AI, cyber-security, and data analytics.
• Offer a flexible and accessible learning experience through a 100% online, part-time format.
• Cultivate the ability to solve complex problems using computational methods and appropriate tools.
• Develop a solid foundation in core computer science areas, preparing students for further specialization in their chosen field.

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Program Description:

• Tailored to meet the needs of busy professionals, the program follows a flexible, 100% online format.
• There are no formal start dates, allowing students to begin their studies as soon as they are admitted.
• Students complete a combination of core modules and electives, allowing them to personalize their learning journey and tailor their skillset to specific career aspirations.
• Graduates emerge with highly sought-after skills, making them well-equipped for diverse roles across various industries, including finance, technology, startups, education, and government.

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Outline

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Core Modules:

• Programming and Algorithms: Build a foundation in procedural programming, data structures, and algorithms.
• Web Technologies: Explore theoretical and practical aspects of web development, including client-side technologies and application creation.
• Object Oriented Programming: delve deeper into object-oriented concepts and apply them using a popular object-oriented language.
• Databases: Gain insights into relational and non-relational databases, with a focus on building and managing relational databases.
• Big Data Analytics and Visualization: Discover the fundamentals of data analytics, data mining, and data visualization techniques.
• Artificial Intelligence: Explore the principles of AI, knowledge representation, and artificial neural networks.
• Computer Systems and Networks: Demystify computer architecture, operating systems, and networking concepts.
• Cyber Security: Learn about cyber threats, security techniques, and methods for protecting information systems.
• Human Computer Interaction: Understand the principles of HCI and apply user-centered design techniques to create usable systems.
• Software Engineering: Master the software engineering process, including design principles and common programming languages.

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Electives:

• Cloud Computing: gain insights into cloud technologies, cloud systems architecture, and cloud application development.
• Digital Transformation using Cloud Technologies: explore the use of cloud technologies in digital transformation, including infrastructure, app modernization, and value generation.
• Individual Project: undertake a significant independent research project related to a topic of your choice, demonstrating your advanced knowledge and skills.

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Course Schedule:

• The program follows a flexible schedule, allowing students to progress at their own pace.
• Students can choose to study full-time or part-time, depending on their individual circumstances.
• Each module is self-contained and delivered over a specific timeframe.

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Assessment

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Assessment methods vary depending on the specific module, but commonly include:

• Examinations: Written assessments testing theoretical knowledge and understanding.
• Coursework: Practical assignments, projects, and case studies demonstrating the application of learned skills.
• Presentations: Opportunities to showcase research findings and communicate effectively.
• Individual Project: For students choosing this elective, a comprehensive research project evaluated based on originality, analysis, and presentation.

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Assessment criteria focus on:

• Technical proficiency: Demonstrating a strong grasp of the subject matter and ability to apply relevant
knowledge and skills.
• Problem-solving skills: Applying theoretical knowledge to solve complex problems effectively.
• Critical thinking: Analyzing information, evaluating different approaches, and forming informed
conclusions.
• Communication skills: Presenting ideas clearly and concisely, both in written and oral forms.

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Teaching

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Common methods include:

• Interactive lectures: Engaging sessions led by experienced faculty, encouraging active participation and
discussion.
• Online learning resources: Access to a comprehensive online platform with lecture recordings,
interactive exercises, and additional learning materials.
• Virtual tutorials: Smaller group sessions providing personalized support and guidance from tutors.
• Independent study: Encouragement to explore topics in greater depth and develop self-directed learning
skills.

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Faculty:

• The program is led by experienced faculty members with extensive industry experience and academic
credentials.
• Faculty members are actively involved in research, ensuring the curriculum incorporates the latest
advancements in computer science.

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Unique Approaches:

• The program leverages technology to provide a flexible and accessible learning experience, including
24/7 access to online learning resources and virtual interaction with faculty and peers.
• The curriculum is regularly updated to reflect the evolving landscape of the IT industry, ensuring
graduates are equipped with the most relevant skills.

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Careers

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This program prepares graduates for diverse career paths in various sectors, including:

• Cyber Security: Cyber Security Analyst, Security Engineer, Ethical Hacker.
• Data Analytics: Data Analyst, Data Scientist, Business Intelligence Analyst.
• Software Engineering: Software Developer, Applications Developer, Software Architect.
• Artificial Intelligence: Machine Learning Engineer, AI Developer, Data Scientist.
• Web Development: Front-End Developer, Back-End Developer, Full-Stack Developer.

chosen field, maximizing their career potential and opening doors to exciting opportunities.

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Other

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Additional program features:

• Industry-recognized qualification: Completion of the program leads to a Master of Science degree in
Computer Science from City, University of London.
• Professional network: Opportunity to connect with fellow students, alumni, and industry professionals
through online forums and networking events.
• Career support: Access to career guidance and support services, including resume writing workshops,
interview preparation, and job search assistance.