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Students
Tuition Fee
GBP 650
Start Date
Medium of studying
Fully Online
Duration
12 months
Program Facts
Program Details
Degree
Masters
Major
Computer Science | Data Analytics
Area of study
Information and Communication Technologies
Education type
Fully Online
Timing
Part time
Course Language
English
Tuition Fee
Average International Tuition Fee
GBP 650
About Program

Program Overview


This part-time, online program equips students with in-demand data analytics skills through real-world dataset analysis. It covers both practical applications and theoretical underpinnings, enabling graduates to apply their knowledge effectively in careers such as Data Analyst, Data Engineer, and Data Scientist. The program is accessible to individuals without prior computing knowledge and offers flexible study options to fit work and personal commitments.

Program Outline


Degree Overview:


Objectives:

  • Equip graduates with the skills and knowledge needed for real-world careers in data analytics.

Description:

This 100% online and part-time program aims to develop in-demand data analysis skills through the analysis of real-world datasets to help businesses make informed decisions. Students who lack prerequisite computing knowledge can still successfully participate in the program. The curriculum focuses on both the practical application and theoretical underpinnings of data analysis, enabling graduates to apply their skills effectively.


Outline:


Program Content:

The program focuses on developing a strong foundation in computer science, including the theoretical, engineering, and scientific aspects of the discipline. Students acquire essential skills and knowledge to understand and apply various programming languages and paradigms.


Data analytics:

Students develop expertise in data analytics and the ability to solve computational problems through coding.


Software development and engineering:

They gain proficiency in software development and engineering, as well as an appreciation for computer systems that implement these software solutions.


Electives:

Students have the opportunity to specialize further by choosing electives in programming, software engineering, artificial intelligence, or cybersecurity.


Course Schedule:

No specific course schedule is mentioned. However, the program is offered online and is flexible to fit students' work and other commitments. There are no formal start dates, allowing individuals to begin their studies any time during the year after being admitted.


Modules:


Programming and Algorithms: This foundation module introduces students to procedural programming, data structures, and algorithms and equips them with problem-solving skills using computer programs.


Web Technologies: Students gain theoretical and practical understanding of web technologies, learn to create web applications, and explore a range of technologies to understand the current web landscape.


Object Oriented Programming: Building upon foundations from module 1, this module delves into object-oriented programming concepts and encourages practical application through an object-oriented programming language.


Databases: Students explore and learn to build relational databases, the most common type.

The module also covers non-relational databases and their contrasts to relational databases.


Big Data Analytics and Visualisation: Students learn key concepts of big data analytics, its data sources, data mining, and the various applications of data analysis within various contexts, such as business.

They also explore data visualization techniques and tools.


Artificial Intelligence: Students delve into Artificial Intelligence (AI) principles and learn which problems are well-suited for AI solutions.

They explore different forms of knowledge representation, manipulation, and search, as well as artificial neural networks for learning from patterns in data sets.


Cloud Computing: Students gain insights into cloud computing concepts, explore the technologies that build cloud systems, and learn how these technologies enable on-demand computing for various applications.

Additionally, they learn to develop cloud applications using common technologies.


Statistical Data Analytics: This module builds on knowledge gained in the Big Data Analytics and Visualisation module.

Students explore the statistical principles applied in data analytics and learn to apply these using a suitable statistical programming language. They cover graphical and numerical methods for understanding data and later transition to data handling and inferential statistics.


Individual Project: Students undertake an investigation into a chosen topic of their choice, conducting independent work that demonstrates their acquired knowledge and skills.

This project can focus on developing a significant software product, gaining deeper knowledge in a specific area of the program, or researching other areas of interest.


Electives: Students can select two elective modules from the following:

  • Human Computer Interaction: Learn both theoretical and practical knowledge and skills in human-computer interaction (HCI).
  • This module equips students with essential skills to understand users of interactive systems and design user-friendly systems using a user-centered approach. Students learn and apply design and evaluation techniques used in the industry.
  • Software Engineering: Learn key software engineering process concepts within a practical framework.
  • This module introduces the wide spectrum of issues related to software system design and builds upon object-oriented programming concepts by studying another programming language commonly used in large enterprises. Students further develop their object-oriented programming abilities and learn to apply common software engineering principles to build applications.
  • Computer Systems and Networks: Gain understanding of computer systems and networking principles through explorations of computer architectures, operating systems, and networks.
  • Learn the purpose of operating systems and how they support resource sharing and concurrency. The module also teaches how to qualitatively and quantitatively assess issues affecting computer systems performance and programs running on them.
  • Cybersecurity: Understand the different techniques for protecting information systems against cybercrime in the modern internet.

Careers:


Potential Career Opportunities for Graduates of the Program:

  • Data Analyst
  • Data Engineer
  • Business Intelligence Analyst
  • Quantitative Analyst
  • Data Scientist

Other:


Entry Requirements:

The program welcomes both recent graduates and mid-career professionals looking to upskill and enter the digital sector, even without a related background.


English Language Requirements:

Applicants may need to demonstrate English language proficiency through tests like IELTS Academic (6.0) or TOEFL IBT (80).


Program Duration:


Study Mode:

Part-time, 100% online


Flexible payment : Pay per module Next start date : Start immediately Fee per 15-credit module : £650 Total Credits : 180

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About University
PhD
Masters
Bachelors
Diploma
Foundation
Courses

City University of London


Overview:

City, University of London is a public research university located in London, England. It is known for its focus on business, practice, and the professions, offering a wide range of undergraduate and postgraduate programs. The university is renowned for its strong academic reputation and its commitment to providing students with a high-quality learning experience.


Services Offered:

City University of London provides a comprehensive range of services to its students, including:

    Library Services:

    Access to extensive library resources, including books, journals, databases, and online resources.

    Moodle:

    An online learning platform for accessing course materials, submitting assignments, and communicating with instructors.

    Email:

    A university-provided email account for official communication.

    Staff Directory:

    A searchable directory of staff members and their contact information.

    Term Dates:

    Information on the academic year and term dates.

    Room Booking:

    A system for booking rooms on campus for meetings, events, and other purposes.

    Schools and Departments:

    Information on the various schools and departments within the university.

Student Life and Campus Experience:

City University of London offers a vibrant and diverse student experience, with a strong emphasis on:

    London Experience:

    The university's location in London provides students with access to a wide range of cultural, social, and professional opportunities.

    Sports:

    A variety of sports clubs and facilities are available for students to participate in, both competitively and non-competitively.

    Social Activities and Groups:

    Numerous student societies and groups cater to diverse interests, providing opportunities for social interaction and personal development.

    Student Wellbeing:

    The university offers a range of support services to ensure students' health and wellbeing, including learning support, personal tutoring, and counseling.

    Career Development:

    The university provides career guidance and support services to help students prepare for their future careers.

Key Reasons to Study There:

    Strong Academic Reputation:

    City University of London is consistently ranked highly in national and international rankings.

    Focus on Business, Practice, and the Professions:

    The university's programs are designed to provide students with the skills and knowledge they need to succeed in their chosen careers.

    Location in London:

    The university's location in the heart of London provides students with access to a wealth of opportunities.

    Vibrant Student Life:

    City University of London offers a diverse and engaging student experience.

    Excellent Career Support:

    The university provides comprehensive career guidance and support services.

Academic Programs:

City University of London offers a wide range of academic programs across various disciplines, including:

    Business and Management:

    Bayes Business School is renowned for its programs in finance, accounting, marketing, and entrepreneurship.

    Law:

    The City Law School is a leading institution for legal education, offering programs in law, international law, and legal practice.

    Health and Psychological Sciences:

    The School of Health & Psychological Sciences offers programs in nursing, midwifery, psychology, and other health-related fields.

    Science and Technology:

    The School of Science & Technology offers programs in computer science, engineering, mathematics, and other STEM fields.

    Communication and Creativity:

    The School of Communication & Creativity offers programs in journalism, media, performing arts, and language studies.

Other:

    Merger with St George's:

    City University of London has merged with St George's, University of London, forming a new institution called City St George's, University of London.

    Awards and Accreditations:

    The university has received numerous awards and accreditations for its teaching, research, and commitment to equality and diversity.

    Global City:

    City University of London is a global institution with a strong international presence.

    University of London:

    City University of London is a member of the University of London, a federation of 18 independent colleges and institutes.

Total programs
427
Admission Requirements

Entry Requirements:


Home and International Students:


Lower second-class (Hons) undergraduate degree, or equivalent:

  • This requirement applies to students with degrees in a subject area other than Computer Science (or similar).
  • "Equivalent" can encompass qualifications such as professional certifications or relevant work experience.

Master's degree, or equivalent:

  • Similar to the above, this option applies to individuals with Master's degrees in fields outside of Computer Science (or similar).

Third-class honours degree or an ordinary degree (without honours), or equivalent:

  • Requires a minimum of two years' relevant work experience.
  • "Equivalent" can encompass qualifications such as professional certifications or relevant work experience.

Exemptions:

  • Some students may be exempt from specific program modules based on prior academic and professional experience.
  • This exemption is subject to City's Assessment Regulations.

Language Proficiency Requirements:


IELTS Academic:

  • Minimum score of 6.0 overall, with a minimum of 6.0 in each of the four components (reading, writing, listening, and speaking).

TOEFL IBT:

  • Minimum score of 80, with a minimum of 20 in each of the four components.

Validity:

  • IELTS/TOEFL test scores must have been taken within the past two years.

Exemptions:

  • Applicants who are nationals of a majority English-speaking country or have completed a university degree (or equivalent) in one are exempt from providing English language proficiency scores.

Additional English Language Evidence:

  • GCSE English language grade 4 (C) or evidence from an accepted English language test can be submitted.

Note:

  • The provided information pertains to the Entry Requirements for the "MSc Computer Science with Data Analytics" program.
  • This information may be subject to change.
  • It is recommended to consult the official website of City, University of London for the most up-to-date requirements.
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