MSc Data Science Apprenticeship - Master of Science (MSc)
| Program start date | Application deadline |
| 2024-09-01 | - |
Program Overview
This 27-month part-time Data Science MSc Apprenticeship equips students with the knowledge and leadership skills to excel as data scientists. The program covers core modules in data science, machine learning, and big data, culminating in an individual project or dissertation. Graduates are highly sought after for their technical and leadership abilities, contributing to their companies' data science capabilities and career advancement.
Program Outline
Data Science MSc Apprenticeship
Degree Overview:
This unique apprenticeship program aims to equip students with the knowledge and values required for a successful technical career as a data scientist. The program emphasizes leadership skills development, empowering graduates to manage complex data science projects and progress in their careers.
Outline:
The program is part-time, spanning 27 months and divided into two semesters per year. The first year covers core modules, with the second year encompassing the individual project. Each module requires one day of attendance, scheduled during weekdays (09:00 to 18:00).
Core Modules:
- Principles of Data Science (15 credits): Focuses on the foundations of data science, including problem identification, knowledge representation, and inference.
- Machine Learning (15 credits): Introduces modern machine learning techniques for analyzing large datasets, applicable across diverse fields like graph mining and signal processing.
- Big Data (15 credits): Teaches methods and tools for capturing, organizing, searching, and analyzing large data volumes. Covers data acquisition, cleansing, integration, and information extraction techniques.
- Visual Analytics (15 credits): Explores the principles of human-computer collaboration in data analysis, focusing on interactive visualizations that support human analysts.
- Neural Computing (15 credits): Examines established and cutting-edge neural network techniques and evaluation methods, applicable both independently and alongside AI and machine learning in various domains.
- Research Methods and Professional Issues (15 credits): Equips students with theoretical understanding of research methods, practical research skills, and awareness of the professional contexts of research utilization.
- Executive Development (15 credits): Develops students' ability to meet challenges in senior IT roles. Focuses on building personal knowledge and capabilities to enhance workplace impact.
- Project Management (15 credits): Provides understanding of key project management concepts and methods, promotes appreciation and competence in relevant skills, and offers hands-on experience using project management software.
Individual Project (60 credits):
A self-directed project allowing students to identify a problem or requirement, justify its exploration or implementation, develop a suitable method, apply it, analyze results, and evaluate implications.
Dissertation:
The program offers the option to complete a dissertation in place of the individual project.
Assessment:
Assessment methods vary across modules but typically include a combination of:
- Examinations: Testing students' theoretical knowledge and understanding.
- Coursework: Assignments, projects, and reports demonstrating students' application of knowledge and skills.
- Presentations: Opportunities to showcase students' research and communication skills.
Teaching:
The program utilizes a variety of teaching methods, including:
- Lectures: Providing foundational knowledge and introducing key concepts.
- Tutorials: Facilitating deeper understanding and application of knowledge through interactive exercises and discussions.
- Practical sessions: Engaging students in hands-on activities, developing practical skills and using data science tools and technologies. The program boasts research-active lecturers at the cutting edge of machine learning, data visualization, and high-performance computing. Students benefit from exposure to current industry developments and opportunities to complete individual projects in these areas.
Careers:
Graduates of this program benefit from:
- Enhanced value to their company: Contributing through technical and leadership skills.
- Expanded company data science capabilities: Leading and managing large-scale projects.
- High-level strategy and direction: Providing strategic guidance and direction within the field.
- Preparation for diverse career paths: From health to retail, and from IT to government.
- Specialization in data acquisition, information extraction, and analysis: Highly sought-after skills in the current job market.
Other:
The program emphasizes the importance of python programming as a core skill for data science. Students are encouraged to begin learning Python before starting the program.
Additional Note:
The application deadline is August 31st, 2024. However, early application is encouraged as places may fill up sooner. For more information, contact the STEM Apprenticeship team.
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.Entry Requirements:
UK
Academic Qualifications:
- UK first or upper second-class honours degree (or equivalent) in a subject area such as computing, mathematics, physics, engineering, information science, economics, or a related discipline with mathematical and computational content.
- Applicants with degrees in business, economics, psychology, and health will also be considered if they demonstrate some statistical, mathematical, and computer scripting aptitude through qualifications, courses, and experience.
- A lower class degree may be considered with relevant work experience, but this is at the discretion of the admissions team.
Other Requirements:
- Level 2 qualification in English and Mathematics (usually GCSE)
- Employment within an organization that supports your enrolment in the degree as part of your Digital and Technology Solutions Specialist (Data Analytics Specialist) training.
- Proof of right to work in the UK (UK or EU national).
Note:
The Apprenticeship Levy covers roles in organizations in England.
Language Proficiency Requirements:
English Language Tests:
- IELTS: 6.5 (minimum of 6.0 in all four components)
- TOEFL: 92 (minimum of 20 in Listening, Reading, and Speaking, and 22 in Writing)
Note:
- If your first language is not English, you will need to provide evidence of your English language proficiency.
- For information about the various English Language tests City accepts, please see the English language requirements page.
