MSc Data Science Apprenticeship - Master of Science
London , United Kingdom
Tuition Fee
GBP 21,000
Per course
Start Date
Medium of studying
Duration
27 months
Program Facts
Program Details
Degree
Diploma
Major
Data Science | Data Analytics
Area of study
Information and Communication Technologies
Timing
Part time
Course Language
English
Tuition Fee
Average International Tuition Fee
GBP 21,000
Intakes
| Program start date | Application deadline |
| 2024-09-01 | - |
About Program
Program Overview
The MSc Data Science Apprenticeship is a unique program that combines theoretical knowledge with practical experience. It equips students with the skills and knowledge needed for a successful career as a data scientist, emphasizing leadership skills and real-world experience through a work-based project. The program is funded under the apprenticeship levy scheme, making it accessible to students employed at companies that support their enrollment. Graduates are well-prepared for highly sought-after positions in the data science field.
Program Outline
Degree Overview:
Overview:
The MSc Data Science Apprenticeship is a unique program designed to equip students with the knowledge and values needed for a successful career as a data scientist. It emphasizes leadership skills, allowing graduates to manage complex data science projects and progress in their careers.
Objectives:
- Provide students with a solid foundation in data science principles and methods.
- Enhance students' ability to analyze and interpret large datasets.
- Develop students' data visualization and machine learning skills.
- Equip students with leadership skills to manage data science projects effectively.
- Prepare students for a successful career as a data scientist in various industries.
Program Description:
- The program is based on the renowned Data Science MSc, one of the first of its kind in London.
- Taught by research-active lecturers at the forefront of machine learning and data visualization.
- Combines theoretical knowledge with practical experience through a work-based project.
- Provides access to world-leading data visualization facilities and cutting-edge industry developments.
- Equips students with the skills and knowledge to contribute to the data science field.
Outline:
Structure:
- The program is offered part-time, spanning 27 months (up to 30 months).
- Students attend one day a week for half the modules in the first year and the remaining half in the second year.
- Teaching occurs during the day (09:00 to 18:00).
- Following the taught modules, students complete a 6-month individual project (July-December) within the 27-month program duration.
- Successful completion of all modules leads to an end-point assessment based on work-based assessments and the project, fulfilling the requirements of the level 7 apprenticeship qualification.
Modules:
- Core Modules (8)
- Principles of Data Science (15 credits)
- Machine Learning (15 credits)
- Big Data (15 credits)
- Visual Analytics (15 credits)
- Neural Computing (15 credits)
- Research Methods and Professional Issues (15 credits)
- Executive Development (15 credits)
- Project Management (15 credits)
- Dissertation:
- Work Based Individual Project (60 credits)
Course Schedule:
- Teaching occurs one day a week during the day (09:00 to 18:00).
- The specific schedule for each module is available on the program website.
Assessment:
Assessment Methods:
- A combination of coursework assignments, examinations, and a final project.
- The specific assessment methods for each module are available on the program website.
Assessment Criteria:
- The assessment criteria for each module are aligned with the learning outcomes of the program.
- Students are assessed on their ability to demonstrate knowledge, understanding, and application of data science principles and methods.
Teaching:
Teaching Methods:
- A combination of lectures, tutorials, and practical sessions.
- The program utilizes a student-centered approach, encouraging active participation and interaction.
Faculty:
- Taught by research-active lecturers with expertise in machine learning, data visualization, and high-performance computing.
- The program benefits from the diverse expertise of the School of Science and Technology's academic staff.
Unique Approaches:
- The program emphasizes hands-on learning through laboratory-based tutorials and the use of data science tools and technologies.
- Students gain real-world experience through a work-based project, benefiting their employers directly.
- The program provides access to online training resources, including MATLAB's MathWorks and DataCamp.
Careers:
Career Paths:
- Data Scientist
- Data Analyst
- Machine Learning Engineer
- Data Visualization Specialist
- Business Intelligence Analyst
- Research Scientist
Career Opportunities:
- The program prepares graduates for a wide range of career opportunities in various industries, including:
- Health
- Retail
- IT
- Government
- Finance
- Research and development
Career Outcomes:
- Graduates are well-equipped to secure highly sought-after positions in the data science field.
- The program's strong industry connections provide graduates with access to potential employers and career opportunities.
Other:
Additional Information:
- The program is funded under the apprenticeship levy scheme.
- Larger employers (annual payroll of £3m+) can fund up to 100% of tuition costs from their levy contribution.
- Smaller employers can claim 95% of tuition costs from the government, paying only 5% themselves.
- The program is designed for students employed at a company that supports their enrollment or those who have received a job offer as an apprentice.
- Entry requirements include a UK first or upper second-class honours degree in a relevant subject and employment within an organization supporting the enrollment in the program.
- The application deadline is 31 August 2024, but may close earlier if all places are filled.
Additional Resources:
- Program website: https://www.city.ac.uk/courses/postgraduate/msc-data-science-apprenticeship
- School of Science and Technology website: https://www.city.ac.uk/science-and-technology
- Department of Computer Science website: https://www.city.ac.uk/science-and-technology/computer-science
Note:
Information is accurate as of the date of this response (October 26, 2023). Please refer to the official program website for the most up-to-date information.
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About University
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:
UK Candidates
- Applicants must hold a first or upper-second-class honors degree (or an equivalent qualification) from a recognized institution.
- The degree should be in a relevant subject area, such as computer science, mathematics, statistics, engineering, life/physical sciences, economics, finance, psychology, or sociology.
- Candidates with relevant professional experience may also be considered, subject to individual assessment.
- A minimum of a 2:2 (lower second-class) honors degree with a Master’s degree in a relevant subject is also considered, along with relevant professional experience.
International Requirements
- Academic Qualifications
- A bachelor's degree or equivalent with a minimum GPA of 3.3 (on a scale of 4.0).
- Applicants with lower GPAs may be considered on a case-by case basis, with demonstrably relevant work experience and/or strong references.
- English Language Requirements
- Demonstrate proficiency by submitting scores from an English language test, such as:
- IELTS: minimum 6.5 overall, with at least 6.0 in each section
- TOEFL iBT: minimum of 93
- Pearson Test of English: minimum of 67
- University of London International Programmes English (UOLIP): minimum level 5
- Other Requirements
- A strong statement of purpose outlining your academic and professional goals, and how this program aligns with them
- Two letters of recommendation
- Financial Requirements:
- Evidence of sufficient funds to cover the cost of living and program tuition.
- For those requiring a Student visa, meeting the UK Home Office’s financial requirements for visa applications.
- Work Experience:
- Professional work experience is not a prerequisite, but relevant experience is highly regarded.
Note:
Entry requirements may vary slightly from year to year, and some programs may have additional requirements. It's always recommended to check the official program website for the most up-to-date information.
Additional Considerations:
The program places emphasis on a strong quantitative background and a genuine interest in data science. In their applications, candidates are encouraged to highlight their mathematical, statistical, or computer programming skills, and their passion for using data to solve real-life problems.
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