MSc Computer Science with Artificial Intelligence
Program Overview
The MSc Computer Science with Artificial Intelligence from City, University of London is a 100% online, part-time program designed for professionals seeking specialized AI skills. It combines a strong foundation in computer science with a focus on AI concepts, techniques, and applications. The flexible schedule and affordable tuition make it accessible for busy individuals looking to advance their careers in the growing field of AI.
Program Outline
Degree Overview:
Overview:
The MSc Computer Science with Artificial Intelligence is a 100% online, part-time postgraduate program designed for graduates and mid-career professionals who want to develop specialized AI skills within a broad computer science foundation. This program provides students with the knowledge and practical skills needed to excel in the fast-growing field of AI, preparing them for real-world careers in this exciting area.
Objectives:
- Equip students with a broad knowledge of computer science, covering both the skills, engineering, and science aspects of the discipline.
- Develop essential problem-solving skills and the ability to apply them effectively through coding and other relevant approaches.
- Foster expertise in artificial intelligence and computational problem-solving techniques.
- Introduce students to the principles of software development, while strengthening their software engineering skills.
- Offer opportunities to gain additional skills in programming, software engineering, data analytics and cyber security.
- Enable students to effectively plan and implement machine learning algorithms.
Program Description:
This program combines a strong foundation in computer science with a specialization in artificial intelligence. The curriculum is designed to provide a comprehensive understanding of AI concepts, techniques, and applications, alongside the theoretical and practical knowledge of computer science. The program consists of 12 core modules and 3 elective modules, allowing students to personalize their learning and tailor their skillset to their specific interests and career goals. The modules cover topics such as programming, algorithms, web technologies, object-oriented programming, databases, big data analytics, artificial intelligence, cloud computing, machine learning, and more. The program is delivered online, allowing students to learn at their own pace and convenience, and is suitable for busy professionals who need to balance their studies with work and other commitments. The flexible start dates allow students to begin their studies whenever they are ready.
Other Information:
- Program Duration: 24 months
- Delivery Mode: 100% Online
- Start Dates: Flexible (3 times per year)
- Total Credits: 180
- Tuition Fees: £650 per 15-credit module
- Assessment: Coursework (assignments, projects) and examinations
- Accreditation: University of London
Outline:
Content:
The program covers a wide range of topics, including:
- Programming and Algorithms
- Web Technologies
- Object Oriented Programming
- Databases
- Big Data Analytics and Visualisation
- Artificial Intelligence
- Cloud Computing
- Machine Learning
- Individual Project
- And elective modules such as:
- Human Computer Interaction
- Software Engineering
- Computer Systems and Networks
- Cyber Security
Structure:
The program is structured as follows:
- 12 core modules (15 credits each)
- 3 elective modules (15 credits each)
- Individual project (30 credits)
Course Schedule:
The program is offered on a flexible schedule, with three intakes per year. Students can choose to start their studies in January, May, or September.
Individual Modules:
- Programming and Algorithms: This module introduces students to the fundamentals of programming and algorithm design.
- Web Technologies: Students learn about the theoretical and practical aspects of web technologies, including web development and a wide range of underlying technologies.
- Object Oriented Programming: This module builds on the programming skills developed in the previous module and introduces the concept of object-orientation in programming.
- Databases: Students gain a comprehensive understanding of database concepts, including the design, development, and implementation of relational and non-relational databases.
- Big Data Analytics and Visualisation: This module covers the key concepts of big data analytics and visualization techniques, enabling students to analyze and interpret data effectively.
- Artificial Intelligence: Students explore the principles and applications of artificial intelligence, including knowledge representation, search, and machine learning.
- Cloud Computing: This module introduces the concepts of cloud computing, including cloud architectures, technologies, and application development.
- Machine Learning: Students gain a deeper understanding of machine learning principles, algorithms, and applications.
- Individual Project: This project allows students to apply their acquired knowledge and skills to a topic of their choice, culminating in a substantial independent research or development project.
- Elective Modules: Students choose three elective modules from the available options to personalize their learning and specialize in areas of interest.
Assessment:
Assessment Methods:
- Coursework assignments
- Projects
- Examinations
Assessment Criteria:
- Knowledge and understanding of the subject matter
- Problem-solving and analytical skills
- Communication and presentation skills
- Project management and research skills
Teaching:
Teaching Methods:
- Online lectures
- Tutorials
- Online discussions
- Self-directed learning
- Individual support from tutors
Faculty:
The program is taught by experienced academics and industry professionals with expertise in computer science and artificial intelligence.
Unique Approaches:
- The program utilizes a blended learning approach, combining online lectures with practical assignments and projects.
- Students benefit from personalized support from dedicated tutors throughout their studies.
- The program emphasizes industry relevance, ensuring that the curriculum and teaching methods are aligned with current industry needs and trends.
Careers:
Potential Career Paths:
- Data Analyst
- Data Engineer
- Machine Learning Engineer
- Robotics Engineer
- Deep Learning Engineer
- And many other roles in the growing field of AI.
Career Opportunities:
Graduates of this program are well-equipped to pursue a variety of careers in the field of artificial intelligence. The program provides students with the skills and knowledge needed to work in various industries, including:
- Technology companies
- Financial services
- Healthcare
- Manufacturing
- Government agencies
- Research organizations
Career Outcomes:
Graduates of this program have a high employment rate in the field of artificial intelligence. Alumni have gone on to work for leading companies such as Google, Amazon, Microsoft, and Facebook.
Other:
- The program is designed for graduates and mid-career professionals who want to upskill into a digital career in artificial intelligence.
- The program is delivered online, allowing students to learn at their own pace and convenience.
- The flexible start dates and part-time structure make this program ideal for busy professionals who need to balance their studies with work and other commitments.
- The program is offered at an affordable price, with a pay-as-you-go payment option available.
Conclusion:
The MSc Computer Science with Artificial Intelligence program at City, University of London is a comprehensive and flexible program that provides students with the knowledge and skills needed to succeed in the exciting field of artificial intelligence. This program is an excellent choice for graduates and mid-career professionals who want to develop their careers in this rapidly growing area.
University of Wolverhampton
Overview:
The University of Wolverhampton is a public university located in Wolverhampton, England. It offers a wide range of undergraduate and postgraduate courses, as well as degree apprenticeships and CPD short courses. The university is known for its strong focus on student support and its commitment to providing a high-quality learning experience.
Services Offered:
The University of Wolverhampton offers a variety of services to its students, including:
Academic Support:
The university provides academic support services such as tutoring, writing workshops, and study skills development.Student Support:
Students have access to a range of support services, including disability support, mature student support, and career guidance.Accommodation:
The university offers a variety of on-campus accommodation options, as well as information and support for finding off-campus housing.IT Services:
Students have access to a range of IT services, including computer labs, Wi-Fi, and online learning platforms.Library:
The university library provides access to a wide range of resources, including books, journals, and databases.Gym:
The university has a gym with a variety of facilities, including a fitness center, swimming pool, and sports courts.Students' Union:
The Students' Union provides a range of services and activities for students, including social events, clubs, and societies.Student Life and Campus Experience:
Students at the University of Wolverhampton can expect a vibrant and supportive campus environment. The university has a strong sense of community, with a variety of clubs, societies, and events to get involved in. The university also has a number of facilities and services to support student life, including a gym, a Students' Union, and a library.
Key Reasons to Study There:
Strong Student Support:
The university is known for its strong focus on student support, with a range of services available to help students succeed.Affordable Living:
The university offers a variety of affordable accommodation options, as well as information and support for finding off-campus housing.High-Quality Learning Experience:
The university is committed to providing a high-quality learning experience, with experienced lecturers and modern facilities.Strong Graduate Outcomes:
A high percentage of the university's graduates are employed or in further education within 15 months of graduation.Academic Programs:
The University of Wolverhampton offers a wide range of academic programs, including:
Arts, Business, and Social Sciences:
The university has a strong reputation in these fields, with programs in areas such as creative industries, social science, humanities, business, and law.Education, Health, and Wellbeing:
The university offers a variety of programs in these fields, including education, nursing, midwifery, psychology, health and society, and sport.Science and Engineering:
The university has a strong reputation in these fields, with programs in areas such as architecture, built environment, engineering, computing, mathematical sciences, life sciences, and pharmacy.Other:
The university has a strong commitment to research, with a number of research centers and institutes. The university also has a strong international focus, with a number of programs and services for international students.
Entry Requirements
Home Students (UK/EU):
- Undergraduate Degree: Lower second-class (Hons) undergraduate degree in a subject area other than Computer Science (or similar).
- Master's Degree: Master's degree in a subject area other than Computer Science (or similar).
- Other Qualifications: Third-class honours degree or ordinary degree (without honours) in a subject area other than Computer Science (or similar) with a minimum of two years' appropriate work experience.
International Students (Non-EU):
- Undergraduate Degree: Lower second-class (Hons) undergraduate degree in a subject area other than Computer Science (or similar).
- Master's Degree: Master's degree in a subject area other than Computer Science (or similar).
- Other Qualifications: Third-class honours degree or ordinary degree (without honours) in a subject area other than Computer Science (or similar) with a minimum of two years' appropriate work experience.
Exemptions:
Some students may be exempt from some program modules depending on their previous study and work experience.
English Language Requirements:
- IELTS Academic: 6.0 (minimum of 6.0 in all four components)
- TOEFL IBT: 80 (with 20 in each component)
- GCSE English Language: Grade 4 (C) or evidence from an accepted English language test.
Exceptions:
English language capability is not required if you are a national of a majority English-speaking country or have completed a university degree (or equivalent) in one.
Language Proficiency Requirements
The MSc Computer Science with Artificial Intelligence program requires a high level of proficiency in English language. Applicants must demonstrate their ability to understand and communicate effectively in written and spoken English. The program utilizes English language resources, including textbooks, journals, and online materials. students need to be comfortable reading and comprehending academic texts and participating in class discussions using English. The program accepts various forms of evidence to demonstrate English language proficiency, including IELTS, TOEFL, and GCSE English Language qualifications. The specific requirements and score levels are outlined in the Entry Requirements section above.
